Sample records for ability prior knowledge

  1. Students' Achievement in Relation to Reasoning Ability, Prior Knowledge and Gender

    ERIC Educational Resources Information Center

    Yenilmez, Ayse; Sungur, Semra; Tekkaya, Ceren

    2006-01-01

    This study investigated students' achievement regarding photosynthesis and respiration in plants in relation to reasoning ability, prior knowledge and gender. A total of 117 eighth-grade students participated in the study. Test of logical thinking and the two-tier multiple choice tests were administered to determine students' reasoning ability and…

  2. Investigating the Effectiveness of Inquiry-Based Instruction on Students with Different Prior Knowledge and Reading Abilities

    ERIC Educational Resources Information Center

    Wang, Jing-Ru; Wang, Yuh-Chao; Tai, Hsin-Jung; Chen, Wen-Ju

    2010-01-01

    This study examined the differential impacts of an inquiry-based instruction on conceptual changes across levels of prior knowledge and reading ability. The instrument emphasized four simultaneously important components: conceptual knowledge, reading ability, attitude toward science, and learning environment. Although the learning patterns and…

  3. Effects of Teacher Use of Analogies on Achievement of High School Biology Students with Varying Levels of Cognitive Ability and Prior Knowledge.

    ERIC Educational Resources Information Center

    Burns, Joseph C.; Okey, James R.

    This study investigated the effects of analogy-based and conventional lecture-based instructional strategies on the achievement of four classes of high school biology students (N=123). Prior to treatment, students were assessed for cognitive ability and prior knowledge of the analogy vehicle. The analogy-based treatment consisted of teacher…

  4. The Effects of Prior-knowledge and Online Learning Approaches on Students' Inquiry and Argumentation Abilities

    NASA Astrophysics Data System (ADS)

    Yang, Wen-Tsung; Lin, Yu-Ren; She, Hsiao-Ching; Huang, Kai-Yi

    2015-07-01

    This study investigated the effects of students' prior science knowledge and online learning approaches (social and individual) on their learning with regard to three topics: science concepts, inquiry, and argumentation. Two science teachers and 118 students from 4 eighth-grade science classes were invited to participate in this research. Students in each class were divided into three groups according to their level of prior science knowledge; they then took either our social- or individual-based online science learning program. The results show that students in the social online argumentation group performed better in argumentation and online argumentation learning. Qualitative analysis indicated that the students' social interactions benefited the co-construction of sound arguments and the accurate understanding of science concepts. In constructing arguments, students in the individual online argumentation group were limited to knowledge recall and self-reflection. High prior-knowledge students significantly outperformed low prior-knowledge students in all three aspects of science learning. However, the difference in inquiry and argumentation performance between low and high prior-knowledge students decreased with the progression of online learning topics.

  5. The influence of prior knowledge on the retrieval-directed function of note taking in prior knowledge activation.

    PubMed

    Wetzels, Sandra A J; Kester, Liesbeth; van Merriënboer, Jeroen J G; Broers, Nick J

    2011-06-01

    Prior knowledge activation facilitates learning. Note taking during prior knowledge activation (i.e., note taking directed at retrieving information from memory) might facilitate the activation process by enabling learners to build an external representation of their prior knowledge. However, taking notes might be less effective in supporting prior knowledge activation if available prior knowledge is limited. This study investigates the effects of the retrieval-directed function of note taking depending on learners' level of prior knowledge. It is hypothesized that the effectiveness of note taking is influenced by the amount of prior knowledge learners already possess. Sixty-one high school students participated in this study. A prior knowledge test was used to ascertain differences in level of prior knowledge and assign participants to a low or a high prior knowledge group. A 2×2 factorial design was used to investigate the effects of note taking during prior knowledge activation (yes, no) depending on learners' level of prior knowledge (low, high) on mental effort, performance, and mental efficiency. Note taking during prior knowledge activation lowered mental effort and increased mental efficiency for high prior knowledge learners. For low prior knowledge learners, note taking had the opposite effect on mental effort and mental efficiency. The effects of the retrieval-directed function of note taking are influenced by learners' level of prior knowledge. Learners with high prior knowledge benefit from taking notes while activating prior knowledge, whereas note taking has no beneficial effects for learners with limited prior knowledge. ©2010 The British Psychological Society.

  6. The Effect of the States of Prior Knowledge on Question Answering.

    ERIC Educational Resources Information Center

    Holmes, Betty C.

    A study was conducted to gain insight into the question answering abilities of good and poor readers by comparing how well they answered questions when their prior knowledge was at two different levels (high, low) and in four different states. These states of prior knowledge consisted of the ways in which answers to the questions were stored in…

  7. Effects of Reading Ability, Prior Knowledge, Topic Interest, and Locus of Control on At-Risk College Students' Use of Graphic Organizers and Summarizing.

    ERIC Educational Resources Information Center

    Balajthy, Ernest; Weisberg, Renee

    A study investigated the influence of key factors (general comprehension ability, prior knowledge of passage topic, interest in passage topic, and locus of control) on training at-risk college students in the use of graphic organizers as a cognitive learning strategy. Subjects, 60 college freshmen required to take a developmental reading/study…

  8. The Influence of Prior Knowledge on the Retrieval-Directed Function of Note Taking in Prior Knowledge Activation

    ERIC Educational Resources Information Center

    Wetzels, Sandra A. J.; Kester, Liesbeth; van Merrienboer, Jeroen J. G.; Broers, Nick J.

    2011-01-01

    Background: Prior knowledge activation facilitates learning. Note taking during prior knowledge activation (i.e., note taking directed at retrieving information from memory) might facilitate the activation process by enabling learners to build an external representation of their prior knowledge. However, taking notes might be less effective in…

  9. The Importance of Prior Knowledge.

    ERIC Educational Resources Information Center

    Cleary, Linda Miller

    1989-01-01

    Recounts a college English teacher's experience of reading and rereading Noam Chomsky, building up a greater store of prior knowledge. Argues that Frank Smith provides a theory for the importance of prior knowledge and Chomsky's work provided a personal example with which to interpret and integrate that theory. (RS)

  10. Menarche: Prior Knowledge and Experience.

    ERIC Educational Resources Information Center

    Skandhan, K. P.; And Others

    1988-01-01

    Recorded menstruation information among 305 young women in India, assessing the differences between those who did and did not have knowledge of menstruation prior to menarche. Those with prior knowledge considered menarche to be a normal physiological function and had a higher rate of regularity, lower rate of dysmenorrhea, and earlier onset of…

  11. Building on prior knowledge without building it in.

    PubMed

    Hansen, Steven S; Lampinen, Andrew K; Suri, Gaurav; McClelland, James L

    2017-01-01

    Lake et al. propose that people rely on "start-up software," "causal models," and "intuitive theories" built using compositional representations to learn new tasks more efficiently than some deep neural network models. We highlight the many drawbacks of a commitment to compositional representations and describe our continuing effort to explore how the ability to build on prior knowledge and to learn new tasks efficiently could arise through learning in deep neural networks.

  12. Impact of Cognitive Abilities and Prior Knowledge on Complex Problem Solving Performance - Empirical Results and a Plea for Ecologically Valid Microworlds.

    PubMed

    Süß, Heinz-Martin; Kretzschmar, André

    2018-01-01

    The original aim of complex problem solving (CPS) research was to bring the cognitive demands of complex real-life problems into the lab in order to investigate problem solving behavior and performance under controlled conditions. Up until now, the validity of psychometric intelligence constructs has been scrutinized with regard to its importance for CPS performance. At the same time, different CPS measurement approaches competing for the title of the best way to assess CPS have been developed. In the first part of the paper, we investigate the predictability of CPS performance on the basis of the Berlin Intelligence Structure Model and Cattell's investment theory as well as an elaborated knowledge taxonomy. In the first study, 137 students managed a simulated shirt factory ( Tailorshop ; i.e., a complex real life-oriented system) twice, while in the second study, 152 students completed a forestry scenario ( FSYS ; i.e., a complex artificial world system). The results indicate that reasoning - specifically numerical reasoning (Studies 1 and 2) and figural reasoning (Study 2) - are the only relevant predictors among the intelligence constructs. We discuss the results with reference to the Brunswik symmetry principle. Path models suggest that reasoning and prior knowledge influence problem solving performance in the Tailorshop scenario mainly indirectly. In addition, different types of system-specific knowledge independently contribute to predicting CPS performance. The results of Study 2 indicate that working memory capacity, assessed as an additional predictor, has no incremental validity beyond reasoning. We conclude that (1) cognitive abilities and prior knowledge are substantial predictors of CPS performance, and (2) in contrast to former and recent interpretations, there is insufficient evidence to consider CPS a unique ability construct. In the second part of the paper, we discuss our results in light of recent CPS research, which predominantly utilizes the

  13. The Interaction of Knowledge and Text Structure on the Ability to Identify Main Ideas in Texts. Content Knowledge and Reading Comprehension.

    ERIC Educational Resources Information Center

    Day, Jeanne D.; Engelhardt, Jean

    Two studies examined how the factors of content-relevant knowledge and text organization influence students' abilities to study and to remember text information. The first experiment examined the effect of prior content knowledge on students' ability to identify important information in the text. Forty 7th- and forty 11th-grade students, experts…

  14. The Effects of Prior-Knowledge and Online Learning Approaches on Students' Inquiry and Argumentation Abilities

    ERIC Educational Resources Information Center

    Yang, Wen-Tsung; Lin, Yu-Ren; She, Hsiao-Ching; Huang, Kai-Yi

    2015-01-01

    This study investigated the effects of students' prior science knowledge and online learning approaches (social and individual) on their learning with regard to three topics: science concepts, inquiry, and argumentation. Two science teachers and 118 students from 4 eighth-grade science classes were invited to participate in this research. Students…

  15. Impact of Cognitive Abilities and Prior Knowledge on Complex Problem Solving Performance – Empirical Results and a Plea for Ecologically Valid Microworlds

    PubMed Central

    Süß, Heinz-Martin; Kretzschmar, André

    2018-01-01

    The original aim of complex problem solving (CPS) research was to bring the cognitive demands of complex real-life problems into the lab in order to investigate problem solving behavior and performance under controlled conditions. Up until now, the validity of psychometric intelligence constructs has been scrutinized with regard to its importance for CPS performance. At the same time, different CPS measurement approaches competing for the title of the best way to assess CPS have been developed. In the first part of the paper, we investigate the predictability of CPS performance on the basis of the Berlin Intelligence Structure Model and Cattell’s investment theory as well as an elaborated knowledge taxonomy. In the first study, 137 students managed a simulated shirt factory (Tailorshop; i.e., a complex real life-oriented system) twice, while in the second study, 152 students completed a forestry scenario (FSYS; i.e., a complex artificial world system). The results indicate that reasoning – specifically numerical reasoning (Studies 1 and 2) and figural reasoning (Study 2) – are the only relevant predictors among the intelligence constructs. We discuss the results with reference to the Brunswik symmetry principle. Path models suggest that reasoning and prior knowledge influence problem solving performance in the Tailorshop scenario mainly indirectly. In addition, different types of system-specific knowledge independently contribute to predicting CPS performance. The results of Study 2 indicate that working memory capacity, assessed as an additional predictor, has no incremental validity beyond reasoning. We conclude that (1) cognitive abilities and prior knowledge are substantial predictors of CPS performance, and (2) in contrast to former and recent interpretations, there is insufficient evidence to consider CPS a unique ability construct. In the second part of the paper, we discuss our results in light of recent CPS research, which predominantly utilizes the

  16. Developmental Change in the Influence of Domain-General Abilities and Domain-Specific Knowledge on Mathematics Achievement: An Eight-Year Longitudinal Study

    PubMed Central

    Geary, David C.; Nicholas, Alan; Li, Yaoran; Sun, Jianguo

    2016-01-01

    The contributions of domain-general abilities and domain-specific knowledge to subsequent mathematics achievement were longitudinally assessed (n = 167) through 8th grade. First grade intelligence and working memory and prior grade reading achievement indexed domain-general effects and domain-specific effects were indexed by prior grade mathematics achievement and mathematical cognition measures of prior grade number knowledge, addition skills, and fraction knowledge. Use of functional data analysis enabled grade-by-grade estimation of overall domain-general and domain-specific effects on subsequent mathematics achievement, the relative importance of individual domain-general and domain-specific variables on this achievement, and linear and non-linear across-grade estimates of these effects. The overall importance of domain-general abilities for subsequent achievement was stable across grades, with working memory emerging as the most important domain-general ability in later grades. The importance of prior mathematical competencies on subsequent mathematics achievement increased across grades, with number knowledge and arithmetic skills critical in all grades and fraction knowledge in later grades. Overall, domain-general abilities were more important than domain-specific knowledge for mathematics learning in early grades but general abilities and domain-specific knowledge were equally important in later grades. PMID:28781382

  17. Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition.

    PubMed

    Wong, Sebastien C; Stamatescu, Victor; Gatt, Adam; Kearney, David; Lee, Ivan; McDonnell, Mark D

    2017-10-01

    This paper addresses the problem of online tracking and classification of multiple objects in an image sequence. Our proposed solution is to first track all objects in the scene without relying on object-specific prior knowledge, which in other systems can take the form of hand-crafted features or user-based track initialization. We then classify the tracked objects with a fast-learning image classifier, that is based on a shallow convolutional neural network architecture and demonstrate that object recognition improves when this is combined with object state information from the tracking algorithm. We argue that by transferring the use of prior knowledge from the detection and tracking stages to the classification stage, we can design a robust, general purpose object recognition system with the ability to detect and track a variety of object types. We describe our biologically inspired implementation, which adaptively learns the shape and motion of tracked objects, and apply it to the Neovision2 Tower benchmark data set, which contains multiple object types. An experimental evaluation demonstrates that our approach is competitive with the state-of-the-art video object recognition systems that do make use of object-specific prior knowledge in detection and tracking, while providing additional practical advantages by virtue of its generality.

  18. Novice and expert teachers' conceptions of learners' prior knowledge

    NASA Astrophysics Data System (ADS)

    Meyer, Helen

    2004-11-01

    This study presents comparative case studies of preservice and first-year teachers' and expert teachers' conceptions of the concept of prior knowledge. Kelly's (The Psychology of Personal Construct, New York: W.W. Norton, 1955) theory of personal constructs as discussed by Akerson, Flick, and Lederman (Journal of Research in Science Teaching, 2000, 37, 363-385) in relationship to prior knowledge underpins the study. Six teachers were selected to participate in the case studies based upon their level experience teaching science and their willingness to take part. The comparative case studies of the novice and expert teachers provide insights into (a) how novice and expert teachers understand the concept of prior knowledge and (b) how they use this knowledge to make instructional decisions. Data collection consisted of interviews, classroom observations, and document analysis. Findings suggest that novice teachers hold insufficient conceptions of prior knowledge and its role in instruction to effectively implement constructivist teaching practices. While expert teachers hold a complex conception of prior knowledge and make use of their students' prior knowledge in significant ways during instruction. A second finding was an apparent mismatch between the novice teachers' beliefs about their urban students' life experiences and prior knowledge and the wealth of knowledge the expert teachers found to draw upon.

  19. Calculus Instructors' Responses to Prior Knowledge Errors

    ERIC Educational Resources Information Center

    Talley, Jana Renee

    2009-01-01

    This study investigates the responses to prior knowledge errors that Calculus I instructors make when assessing students. Prior knowledge is operationalized as any skill or understanding that a student needs to successfully navigate through a Calculus I course. A two part qualitative study consisting of student exams and instructor interviews was…

  20. Use of Elaborative Interrogation to Help Students Acquire Information Consistent with Prior Knowledge and Information Inconsistent with Prior Knowledge.

    ERIC Educational Resources Information Center

    Woloshyn, Vera E.; And Others

    1994-01-01

    Thirty-two factual statements, half consistent and half not consistent with subjects' prior knowledge, were processed by 140 sixth and seventh graders. Half were directed to use elaborative interrogation (using prior knowledge) to answer why each statement was true. Across all memory measures, elaborative interrogation subjects performed better…

  1. Relations among conceptual knowledge, procedural knowledge, and procedural flexibility in two samples differing in prior knowledge.

    PubMed

    Schneider, Michael; Rittle-Johnson, Bethany; Star, Jon R

    2011-11-01

    Competence in many domains rests on children developing conceptual and procedural knowledge, as well as procedural flexibility. However, research on the developmental relations between these different types of knowledge has yielded unclear results, in part because little attention has been paid to the validity of the measures or to the effects of prior knowledge on the relations. To overcome these problems, we modeled the three constructs in the domain of equation solving as latent factors and tested (a) whether the predictive relations between conceptual and procedural knowledge were bidirectional, (b) whether these interrelations were moderated by prior knowledge, and (c) how both constructs contributed to procedural flexibility. We analyzed data from 2 measurement points each from two samples (Ns = 228 and 304) of middle school students who differed in prior knowledge. Conceptual and procedural knowledge had stable bidirectional relations that were not moderated by prior knowledge. Both kinds of knowledge contributed independently to procedural flexibility. The results demonstrate how changes in complex knowledge structures contribute to competence development.

  2. Effects of Prior Knowledge on Memory: Implications for Education

    ERIC Educational Resources Information Center

    Shing, Yee Lee; Brod, Garvin

    2016-01-01

    The encoding, consolidation, and retrieval of events and facts form the basis for acquiring new skills and knowledge. Prior knowledge can enhance those memory processes considerably and thus foster knowledge acquisition. But prior knowledge can also hinder knowledge acquisition, in particular when the to-be-learned information is inconsistent with…

  3. Knowledge Modeling in Prior Art Search

    NASA Astrophysics Data System (ADS)

    Graf, Erik; Frommholz, Ingo; Lalmas, Mounia; van Rijsbergen, Keith

    This study explores the benefits of integrating knowledge representations in prior art patent retrieval. Key to the introduced approach is the utilization of human judgment available in the form of classifications assigned to patent documents. The paper first outlines in detail how a methodology for the extraction of knowledge from such an hierarchical classification system can be established. Further potential ways of integrating this knowledge with existing Information Retrieval paradigms in a scalable and flexible manner are investigated. Finally based on these integration strategies the effectiveness in terms of recall and precision is evaluated in the context of a prior art search task for European patents. As a result of this evaluation it can be established that in general the proposed knowledge expansion techniques are particularly beneficial to recall and, with respect to optimizing field retrieval settings, further result in significant precision gains.

  4. Prior knowledge of category size impacts visual search.

    PubMed

    Wu, Rachel; McGee, Brianna; Echiverri, Chelsea; Zinszer, Benjamin D

    2018-03-30

    Prior research has shown that category search can be similar to one-item search (as measured by the N2pc ERP marker of attentional selection) for highly familiar, smaller categories (e.g., letters and numbers) because the finite set of items in a category can be grouped into one unit to guide search. Other studies have shown that larger, more broadly defined categories (e.g., healthy food) also can elicit N2pc components during category search, but the amplitude of these components is typically attenuated. Two experiments investigated whether the perceived size of a familiar category impacts category and exemplar search. We presented participants with 16 familiar company logos: 8 from a smaller category (social media companies) and 8 from a larger category (entertainment/recreation manufacturing companies). The ERP results from Experiment 1 revealed that, in a two-item search array, search was more efficient for the smaller category of logos compared to the larger category. In a four-item search array (Experiment 2), where two of the four items were placeholders, search was largely similar between the category types, but there was more attentional capture by nontarget members from the same category as the target for smaller rather than larger categories. These results support a growing literature on how prior knowledge of categories affects attentional selection and capture during visual search. We discuss the implications of these findings in relation to assessing cognitive abilities across the lifespan, given that prior knowledge typically increases with age. © 2018 Society for Psychophysiological Research.

  5. Explanation and Prior Knowledge Interact to Guide Learning

    ERIC Educational Resources Information Center

    Williams, Joseph J.; Lombrozo, Tania

    2013-01-01

    How do explaining and prior knowledge contribute to learning? Four experiments explored the relationship between explanation and prior knowledge in category learning. The experiments independently manipulated whether participants were prompted to explain the category membership of study observations and whether category labels were informative in…

  6. How Prior Knowledge and Colour Contrast Interfere Visual Search Processes in Novice Learners: An Eye Tracking Study

    ERIC Educational Resources Information Center

    Sonmez, Duygu; Altun, Arif; Mazman, Sacide Guzin

    2012-01-01

    This study investigates how prior content knowledge and prior exposure to microscope slides on the phases of mitosis effect students' visual search strategies and their ability to differentiate cells that are going through any phases of mitosis. Two different sets of microscope slide views were used for this purpose; with high and low colour…

  7. Predictive top-down integration of prior knowledge during speech perception.

    PubMed

    Sohoglu, Ediz; Peelle, Jonathan E; Carlyon, Robert P; Davis, Matthew H

    2012-06-20

    A striking feature of human perception is that our subjective experience depends not only on sensory information from the environment but also on our prior knowledge or expectations. The precise mechanisms by which sensory information and prior knowledge are integrated remain unclear, with longstanding disagreement concerning whether integration is strictly feedforward or whether higher-level knowledge influences sensory processing through feedback connections. Here we used concurrent EEG and MEG recordings to determine how sensory information and prior knowledge are integrated in the brain during speech perception. We manipulated listeners' prior knowledge of speech content by presenting matching, mismatching, or neutral written text before a degraded (noise-vocoded) spoken word. When speech conformed to prior knowledge, subjective perceptual clarity was enhanced. This enhancement in clarity was associated with a spatiotemporal profile of brain activity uniquely consistent with a feedback process: activity in the inferior frontal gyrus was modulated by prior knowledge before activity in lower-level sensory regions of the superior temporal gyrus. In parallel, we parametrically varied the level of speech degradation, and therefore the amount of sensory detail, so that changes in neural responses attributable to sensory information and prior knowledge could be directly compared. Although sensory detail and prior knowledge both enhanced speech clarity, they had an opposite influence on the evoked response in the superior temporal gyrus. We argue that these data are best explained within the framework of predictive coding in which sensory activity is compared with top-down predictions and only unexplained activity propagated through the cortical hierarchy.

  8. Nudging toward Inquiry: Awakening and Building upon Prior Knowledge

    ERIC Educational Resources Information Center

    Fontichiaro, Kristin, Comp.

    2010-01-01

    "Prior knowledge" (sometimes called schema or background knowledge) is information one already knows that helps him/her make sense of new information. New learning builds on existing prior knowledge. In traditional reporting-style research projects, students bypass this crucial step and plow right into answer-finding. It's no wonder that many…

  9. The Roles of Ability, Personality, and Interests in Acquiring Current Events Knowledge: A Longitudinal Study

    ERIC Educational Resources Information Center

    Hambrick, David Z.; Pink, Jeffrey E.; Meinz, Elizabeth J.; Pettibone, Jonathan C.; Oswald, Frederick L.

    2008-01-01

    The purpose of this study was to investigate sources of inter-individual differences in current events knowledge. The study occurred in two sessions. In the initial session, 579 participants completed tests to ability, personality, and interest factors, as well as prior knowledge of current events. Approximately 10 weeks later, participants…

  10. When does prior knowledge disproportionately benefit older adults’ memory?

    PubMed Central

    Badham, Stephen P.; Hay, Mhairi; Foxon, Natasha; Kaur, Kiran; Maylor, Elizabeth A.

    2016-01-01

    ABSTRACT Material consistent with knowledge/experience is generally more memorable than material inconsistent with knowledge/experience – an effect that can be more extreme in older adults. Four experiments investigated knowledge effects on memory with young and older adults. Memory for familiar and unfamiliar proverbs (Experiment 1) and for common and uncommon scenes (Experiment 2) showed similar knowledge effects across age groups. Memory for person-consistent and person-neutral actions (Experiment 3) showed a greater benefit of prior knowledge in older adults. For cued recall of related and unrelated word pairs (Experiment 4), older adults benefited more from prior knowledge only when it provided uniquely useful additional information beyond the episodic association itself. The current data and literature suggest that prior knowledge has the age-dissociable mnemonic properties of (1) improving memory for the episodes themselves (age invariant), and (2) providing conceptual information about the tasks/stimuli extrinsically to the actual episodic memory (particularly aiding older adults). PMID:26473767

  11. Prior Knowledge Guides Speech Segregation in Human Auditory Cortex.

    PubMed

    Wang, Yuanye; Zhang, Jianfeng; Zou, Jiajie; Luo, Huan; Ding, Nai

    2018-05-18

    Segregating concurrent sound streams is a computationally challenging task that requires integrating bottom-up acoustic cues (e.g. pitch) and top-down prior knowledge about sound streams. In a multi-talker environment, the brain can segregate different speakers in about 100 ms in auditory cortex. Here, we used magnetoencephalographic (MEG) recordings to investigate the temporal and spatial signature of how the brain utilizes prior knowledge to segregate 2 speech streams from the same speaker, which can hardly be separated based on bottom-up acoustic cues. In a primed condition, the participants know the target speech stream in advance while in an unprimed condition no such prior knowledge is available. Neural encoding of each speech stream is characterized by the MEG responses tracking the speech envelope. We demonstrate that an effect in bilateral superior temporal gyrus and superior temporal sulcus is much stronger in the primed condition than in the unprimed condition. Priming effects are observed at about 100 ms latency and last more than 600 ms. Interestingly, prior knowledge about the target stream facilitates speech segregation by mainly suppressing the neural tracking of the non-target speech stream. In sum, prior knowledge leads to reliable speech segregation in auditory cortex, even in the absence of reliable bottom-up speech segregation cue.

  12. Using Hypermedia: Effects of Prior Knowledge and Goal Strength.

    ERIC Educational Resources Information Center

    Last, David A.; O'Donnell, Angela M.; Kelly, Anthony E.

    The influences of a student's prior knowledge and desired goal on the difficulties and benefits associated with using hypertext were examined in this study. Participants, 12 students from an undergraduate course in educational psychology, were assigned to either the low or high prior knowledge category. Within these two groups, subjects were…

  13. The effects of activating prior topic and metacognitive knowledge on text comprehension scores.

    PubMed

    Kostons, Danny; van der Werf, Greetje

    2015-09-01

    Research on prior knowledge activation has consistently shown that activating learners' prior knowledge has beneficial effects on learning. If learners activate their prior knowledge, this activated knowledge serves as a framework for establishing relationships between the knowledge they already possess and new information provided to them. Thus far, prior knowledge activation has dealt primarily with topic knowledge in specific domains. Students, however, likely also possess at least some metacognitive knowledge useful in those domains, which, when activated, should aid in the deployment of helpful strategies during reading. In this study, we investigated the effects of both prior topic knowledge activation (PTKA) and prior metacognitive knowledge activation (PMKA) on text comprehension scores. Eighty-eight students in primary education were randomly distributed amongst the conditions of the 2 × 2 (PTKA yes/no × PMKA yes/no) designed experiment. Results show that activating prior metacognitive knowledge had a beneficial effect on text comprehension, whereas activating prior topic knowledge, after correcting for the amount of prior knowledge, did not. Most studies deal with explicit instruction of metacognitive knowledge, but our results show that this may not be necessary, specifically in the case of students who already have some metacognitive knowledge. However, existing metacognitive knowledge needs to be activated in order for students to make better use of this knowledge. © 2015 The British Psychological Society.

  14. Memory integration in amnesia: Prior knowledge supports verbal short-term memory

    PubMed Central

    Race, Elizabeth; Palombo, Daniela J.; Cadden, Margaret; Burke, Keely; Verfaellie, Mieke

    2015-01-01

    Short-term memory (STM) and long-term memory (LTM) have traditionally been considered cognitively distinct. However, it is known that STM can improve when to-be-remembered information appears in contexts that make contact with prior knowledge, suggesting a more interactive relationship between STM and LTM. The current study investigated whether the ability to leverage LTM in support of STM critically depends on the integrity of the hippocampus. Specifically, we investigated whether the hippocampus differentially supports between-domain versus within-domain STM–LTM integration given prior evidence that the representational domain of the elements being integrated in memory is a critical determinant of whether memory performance depends on the hippocampus. In Experiment 1, we investigated hippocampal contributions to within-domain STM–LTM integration by testing whether immediate verbal recall of words improves in MTL amnesic patients when words are presented in familiar verbal contexts (meaningful sentences) compared to unfamiliar verbal contexts (random word lists). Patients demonstrated a robust sentence superiority effect, whereby verbal STM performance improved in familiar compared to unfamiliar verbal contexts, and the magnitude of this effect did not differ from that in controls. In Experiment 2, we investigated hippocampal contributions to between-domain STM–LTM integration by testing whether immediate verbal recall of digits improves in MTL amnesic patients when digits are presented in a familiar visuospatial context (a typical keypad layout) compared to an unfamiliar visuospatial context (a random keypad layout). Immediate verbal recall improved in both patients and controls when digits were presented in the familiar compared to the unfamiliar keypad array, indicating a preserved ability to integrate activated verbal information with stored visuospatial knowledge. Together, these results demonstrate that immediate verbal recall in amnesia can benefit

  15. Prior knowledge-based approach for associating ...

    EPA Pesticide Factsheets

    Evaluating the potential human health and/or ecological risks associated with exposures to complex chemical mixtures in the ambient environment is one of the central challenges of chemical safety assessment and environmental protection. There is a need for approaches that can help to integrate chemical monitoring and bio-effects data to evaluate risks associated with chemicals present in the environment. We used prior knowledge about chemical-gene interactions to develop a knowledge assembly model for detected chemicals at five locations near two wastewater treatment plants. The assembly model was used to generate hypotheses about the biological impacts of the chemicals at each location. The hypotheses were tested using empirical hepatic gene expression data from fathead minnows exposed for 12 d at each location. Empirical gene expression data was also mapped to the assembly models to statistically evaluate the likelihood of a chemical contributing to the observed biological responses. The prior knowledge approach was able reasonably hypothesize the biological impacts at one site but not the other. Chemicals most likely contributing to the observed biological responses were identified at each location. Despite limitations to the approach, knowledge assembly models have strong potential for associating chemical occurrence with potential biological effects and providing a foundation for hypothesis generation to guide research and/or monitoring efforts relat

  16. Preparing learners with partly incorrect intuitive prior knowledge for learning

    PubMed Central

    Ohst, Andrea; Fondu, Béatrice M. E.; Glogger, Inga; Nückles, Matthias; Renkl, Alexander

    2014-01-01

    Learners sometimes have incoherent and fragmented intuitive prior knowledge that is (partly) “incompatible” with the to-be-learned contents. Such knowledge in pieces can cause conceptual disorientation and cognitive overload while learning. We hypothesized that a pre-training intervention providing a generalized schema as a structuring framework for such knowledge in pieces would support (re)organizing-processes of prior knowledge and thus reduce unnecessary cognitive load during subsequent learning. Fifty-six student teachers participated in the experiment. A framework group underwent a pre-training intervention providing a generalized, categorical schema for categorizing primary learning strategies and related but different strategies as a cognitive framework for (re-)organizing their prior knowledge. Our control group received comparable factual information but no framework. Afterwards, all participants learned about primary learning strategies. The framework group claimed to possess higher levels of interest and self-efficacy, achieved higher learning outcomes, and learned more efficiently. Hence, providing a categorical framework can help overcome the barrier of incorrect prior knowledge in pieces. PMID:25071638

  17. When generating answers benefits arithmetic skill: the importance of prior knowledge.

    PubMed

    Rittle-Johnson, Bethany; Kmicikewycz, Alexander Oleksij

    2008-09-01

    People remember information better if they generate the information while studying rather than read the information. However, prior research has not investigated whether this generation effect extends to related but unstudied items and has not been conducted in classroom settings. We compared third graders' success on studied and unstudied multiplication problems after they spent a class period generating answers to problems or reading the answers from a calculator. The effect of condition interacted with prior knowledge. Students with low prior knowledge had higher accuracy in the generate condition, but as prior knowledge increased, the advantage of generating answers decreased. The benefits of generating answers may extend to unstudied items and to classroom settings, but only for learners with low prior knowledge.

  18. Creating illusions of knowledge: learning errors that contradict prior knowledge.

    PubMed

    Fazio, Lisa K; Barber, Sarah J; Rajaram, Suparna; Ornstein, Peter A; Marsh, Elizabeth J

    2013-02-01

    Most people know that the Pacific is the largest ocean on Earth and that Edison invented the light bulb. Our question is whether this knowledge is stable, or if people will incorporate errors into their knowledge bases, even if they have the correct knowledge stored in memory. To test this, we asked participants general-knowledge questions 2 weeks before they read stories that contained errors (e.g., "Franklin invented the light bulb"). On a later general-knowledge test, participants reproduced story errors despite previously answering the questions correctly. This misinformation effect was found even for questions that were answered correctly on the initial test with the highest level of confidence. Furthermore, prior knowledge offered no protection against errors entering the knowledge base; the misinformation effect was equivalent for previously known and unknown facts. Errors can enter the knowledge base even when learners have the knowledge necessary to catch the errors. 2013 APA, all rights reserved

  19. The Influence of Prior Knowledge on Memory: A Developmental Cognitive Neuroscience Perspective

    PubMed Central

    Brod, Garvin; Werkle-Bergner, Markus; Shing, Yee Lee

    2013-01-01

    Across ontogenetic development, individuals gather manifold experiences during which they detect regularities in their environment and thereby accumulate knowledge. This knowledge is used to guide behavior, make predictions, and acquire further new knowledge. In this review, we discuss the influence of prior knowledge on memory from both the psychology and the emerging cognitive neuroscience literature and provide a developmental perspective on this topic. Recent neuroscience findings point to a prominent role of the medial prefrontal cortex (mPFC) and of the hippocampus (HC) in the emergence of prior knowledge and in its application during the processes of successful memory encoding, consolidation, and retrieval. We take the lateral PFC into consideration as well and discuss changes in both medial and lateral PFC and HC across development and postulate how these may be related to the development of the use of prior knowledge for remembering. For future direction, we argue that, to measure age differential effects of prior knowledge on memory, it is necessary to distinguish the availability of prior knowledge from its accessibility and use. PMID:24115923

  20. Active Prior Tactile Knowledge Transfer for Learning Tactual Properties of New Objects

    PubMed Central

    Feng, Di

    2018-01-01

    Reusing the tactile knowledge of some previously-explored objects (prior objects) helps us to easily recognize the tactual properties of new objects. In this paper, we enable a robotic arm equipped with multi-modal artificial skin, like humans, to actively transfer the prior tactile exploratory action experiences when it learns the detailed physical properties of new objects. These experiences, or prior tactile knowledge, are built by the feature observations that the robot perceives from multiple sensory modalities, when it applies the pressing, sliding, and static contact movements on objects with different action parameters. We call our method Active Prior Tactile Knowledge Transfer (APTKT), and systematically evaluated its performance by several experiments. Results show that the robot improved the discrimination accuracy by around 10% when it used only one training sample with the feature observations of prior objects. By further incorporating the predictions from the observation models of prior objects as auxiliary features, our method improved the discrimination accuracy by over 20%. The results also show that the proposed method is robust against transferring irrelevant prior tactile knowledge (negative knowledge transfer). PMID:29466300

  1. Memory integration in amnesia: prior knowledge supports verbal short-term memory.

    PubMed

    Race, Elizabeth; Palombo, Daniela J; Cadden, Margaret; Burke, Keely; Verfaellie, Mieke

    2015-04-01

    Short-term memory (STM) and long-term memory (LTM) have traditionally been considered cognitively distinct. However, it is known that STM can improve when to-be-remembered information appears in contexts that make contact with prior knowledge, suggesting a more interactive relationship between STM and LTM. The current study investigated whether the ability to leverage LTM in support of STM critically depends on the integrity of the hippocampus. Specifically, we investigated whether the hippocampus differentially supports between-domain versus within-domain STM-LTM integration given prior evidence that the representational domain of the elements being integrated in memory is a critical determinant of whether memory performance depends on the hippocampus. In Experiment 1, we investigated hippocampal contributions to within-domain STM-LTM integration by testing whether immediate verbal recall of words improves in MTL amnesic patients when words are presented in familiar verbal contexts (meaningful sentences) compared to unfamiliar verbal contexts (random word lists). Patients demonstrated a robust sentence superiority effect, whereby verbal STM performance improved in familiar compared to unfamiliar verbal contexts, and the magnitude of this effect did not differ from that in controls. In Experiment 2, we investigated hippocampal contributions to between-domain STM-LTM integration by testing whether immediate verbal recall of digits improves in MTL amnesic patients when digits are presented in a familiar visuospatial context (a typical keypad layout) compared to an unfamiliar visuospatial context (a random keypad layout). Immediate verbal recall improved in both patients and controls when digits were presented in the familiar compared to the unfamiliar keypad array, indicating a preserved ability to integrate activated verbal information with stored visuospatial knowledge. Together, these results demonstrate that immediate verbal recall in amnesia can benefit from two

  2. The critical success factors and impact of prior knowledge to nursing students when transferring nursing knowledge during nursing clinical practise.

    PubMed

    Tsai, Ming-Tien; Tsai, Ling-Long

    2005-11-01

    Nursing practise plays an important role in transferring nursing knowledge to nursing students. From the related literature review, prior knowledge will affect how learners gain new knowledge. There has been no direct examination of the prior knowledge interaction effect on students' performance and its influence on nursing students when evaluating the knowledge transfer success factors. This study explores (1) the critical success factors in transferring nursing knowledge, (2) the impact of prior knowledge when evaluating the success factors for transferring nursing knowledge. This research utilizes in-depth interviews to probe the initial success factor phase. A total of 422 valid questionnaires were conducted by the authors. The data were analysed by comparing the mean score and t-test between two groups. Seventeen critical success factors were identified by the two groups of students. Twelve items were selected to examine the diversity in the two groups. Students with prior knowledge were more independent than the other group. They also preferred self-directed learning over students without prior knowledge. Students who did not have prior knowledge were eager to take every opportunity to gain experience and more readily adopted new knowledge.

  3. The relation between prior knowledge and students' collaborative discovery learning processes

    NASA Astrophysics Data System (ADS)

    Gijlers, Hannie; de Jong, Ton

    2005-03-01

    In this study we investigate how prior knowledge influences knowledge development during collaborative discovery learning. Fifteen dyads of students (pre-university education, 15-16 years old) worked on a discovery learning task in the physics field of kinematics. The (face-to-face) communication between students was recorded and the interaction with the environment was logged. Based on students' individual judgments of the truth-value and testability of a series of domain-specific propositions, a detailed description of the knowledge configuration for each dyad was created before they entered the learning environment. Qualitative analyses of two dialogues illustrated that prior knowledge influences the discovery learning processes, and knowledge development in a pair of students. Assessments of student and dyad definitional (domain-specific) knowledge, generic (mathematical and graph) knowledge, and generic (discovery) skills were related to the students' dialogue in different discovery learning processes. Results show that a high level of definitional prior knowledge is positively related to the proportion of communication regarding the interpretation of results. Heterogeneity with respect to generic prior knowledge was positively related to the number of utterances made in the discovery process categories hypotheses generation and experimentation. Results of the qualitative analyses indicated that collaboration between extremely heterogeneous dyads is difficult when the high achiever is not willing to scaffold information and work in the low achiever's zone of proximal development.

  4. Understanding the Complexities of Prior Knowledge

    ERIC Educational Resources Information Center

    Soiferman, L. Karen

    2014-01-01

    The purpose of the study was to gain an understanding of the kinds of prior knowledge students bring with them from high school as it relates to the conventions of writing that they are expected to follow in ARTS 1110 Introduction to University. The research questions were "Can first-year students taking the Arts 1110 Introduction to…

  5. SU-E-J-71: Spatially Preserving Prior Knowledge-Based Treatment Planning

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Wang, H; Xing, L

    2015-06-15

    Purpose: Prior knowledge-based treatment planning is impeded by the use of a single dose volume histogram (DVH) curve. Critical spatial information is lost from collapsing the dose distribution into a histogram. Even similar patients possess geometric variations that becomes inaccessible in the form of a single DVH. We propose a simple prior knowledge-based planning scheme that extracts features from prior dose distribution while still preserving the spatial information. Methods: A prior patient plan is not used as a mere starting point for a new patient but rather stopping criteria are constructed. Each structure from the prior patient is partitioned intomore » multiple shells. For instance, the PTV is partitioned into an inner, middle, and outer shell. Prior dose statistics are then extracted for each shell and translated into the appropriate Dmin and Dmax parameters for the new patient. Results: The partitioned dose information from a prior case has been applied onto 14 2-D prostate cases. Using prior case yielded final DVHs that was comparable to manual planning, even though the DVH for the prior case was different from the DVH for the 14 cases. Solely using a single DVH for the entire organ was also performed for comparison but showed a much poorer performance. Different ways of translating the prior dose statistics into parameters for the new patient was also tested. Conclusion: Prior knowledge-based treatment planning need to salvage the spatial information without transforming the patients on a voxel to voxel basis. An efficient balance between the anatomy and dose domain is gained through partitioning the organs into multiple shells. The use of prior knowledge not only serves as a starting point for a new case but the information extracted from the partitioned shells are also translated into stopping criteria for the optimization problem at hand.« less

  6. Prior Knowledge Facilitates Mutual Gaze Convergence and Head Nodding Synchrony in Face-to-face Communication

    PubMed Central

    Thepsoonthorn, C.; Yokozuka, T.; Miura, S.; Ogawa, K.; Miyake, Y.

    2016-01-01

    As prior knowledge is claimed to be an essential key to achieve effective education, we are interested in exploring whether prior knowledge enhances communication effectiveness. To demonstrate the effects of prior knowledge, mutual gaze convergence and head nodding synchrony are observed as indicators of communication effectiveness. We conducted an experiment on lecture task between lecturer and student under 2 conditions: prior knowledge and non-prior knowledge. The students in prior knowledge condition were provided the basic information about the lecture content and were assessed their understanding by the experimenter before starting the lecture while the students in non-prior knowledge had none. The result shows that the interaction in prior knowledge condition establishes significantly higher mutual gaze convergence (t(15.03) = 6.72, p < 0.0001; α = 0.05, n = 20) and head nodding synchrony (t(16.67) = 1.83, p = 0.04; α = 0.05, n = 19) compared to non-prior knowledge condition. This study reveals that prior knowledge facilitates mutual gaze convergence and head nodding synchrony. Furthermore, the interaction with and without prior knowledge can be evaluated by measuring or observing mutual gaze convergence and head nodding synchrony. PMID:27910902

  7. Prior Knowledge Facilitates Mutual Gaze Convergence and Head Nodding Synchrony in Face-to-face Communication.

    PubMed

    Thepsoonthorn, C; Yokozuka, T; Miura, S; Ogawa, K; Miyake, Y

    2016-12-02

    As prior knowledge is claimed to be an essential key to achieve effective education, we are interested in exploring whether prior knowledge enhances communication effectiveness. To demonstrate the effects of prior knowledge, mutual gaze convergence and head nodding synchrony are observed as indicators of communication effectiveness. We conducted an experiment on lecture task between lecturer and student under 2 conditions: prior knowledge and non-prior knowledge. The students in prior knowledge condition were provided the basic information about the lecture content and were assessed their understanding by the experimenter before starting the lecture while the students in non-prior knowledge had none. The result shows that the interaction in prior knowledge condition establishes significantly higher mutual gaze convergence (t(15.03) = 6.72, p < 0.0001; α = 0.05, n = 20) and head nodding synchrony (t(16.67) = 1.83, p = 0.04; α = 0.05, n = 19) compared to non-prior knowledge condition. This study reveals that prior knowledge facilitates mutual gaze convergence and head nodding synchrony. Furthermore, the interaction with and without prior knowledge can be evaluated by measuring or observing mutual gaze convergence and head nodding synchrony.

  8. The Effects of Prior Knowledge Activation on Free Recall and Study Time Allocation.

    ERIC Educational Resources Information Center

    Machiels-Bongaerts, Maureen; And Others

    The effects of mobilizing prior knowledge on information processing were studied. Two hypotheses, the cognitive set-point hypothesis and the selective attention hypothesis, try to account for the facilitation effects of prior knowledge activation. These hypotheses predict different recall patterns as a result of mobilizing prior knowledge. In…

  9. Brief Report: Teachers' Awareness of the Relationship between Prior Knowledge and New Learning

    ERIC Educational Resources Information Center

    Journal for Research in Mathematics Education, 2016

    2016-01-01

    The author examined the degree to which experienced teachers are aware of the relationship between prior knowledge and new learning. Interviews with teachers revealed that they were explicitly aware of when students made connections between prior knowledge and new learning, when they applied their prior knowledge to new contexts, and when they…

  10. "Dare I Ask?": Eliciting Prior Knowledge and Its Implications for Teaching and Learning

    ERIC Educational Resources Information Center

    Dávila, Liv Thorstensson

    2015-01-01

    This article examines high school teachers' engagement of newcomer English learner students' prior knowledge. Three central research questions guided this study: 1) To what extent do teachers function as mediators of their students' prior knowledge? 2) What goes into teachers' thinking about how and when to elicit prior knowledge? and 3) How do…

  11. Effect of Altered Prior Knowledge on Passage Recall.

    ERIC Educational Resources Information Center

    Langer, Judith A.; Nicolich, Mark

    A study was conducted to determine: (1) the relationships between prior knowledge and passage recall; (2) the effect of a prereading activity (PReP) on available knowledge; and (3) the effect of the PReP activity on total comprehension scores. The subjects were 161 sixth grade students from a middle class suburban Long Island, New York, public…

  12. Developmental Change in the Influence of Domain-General Abilities and Domain-Specific Knowledge on Mathematics Achievement: An Eight-Year Longitudinal Study

    ERIC Educational Resources Information Center

    Geary, David C.; Nicholas, Alan; Li, Yaoran; Sun, Jianguo

    2017-01-01

    The contributions of domain-general abilities and domain-specific knowledge to subsequent mathematics achievement were longitudinally assessed (n = 167) through 8th grade. First grade intelligence and working memory and prior grade reading achievement indexed domain-general effects, and domain-specific effects were indexed by prior grade…

  13. Mind wandering during film comprehension: The role of prior knowledge and situational interest.

    PubMed

    Kopp, Kristopher; Mills, Caitlin; D'Mello, Sidney

    2016-06-01

    This study assessed the occurrence and factors that influence mind wandering (MW) in the domain of film comprehension. The cascading model of inattention assumes that a stronger mental representation (i.e., a situation model) during comprehension results in less MW. Accordingly, a suppression hypothesis suggests that MW would decrease as a function of having the knowledge of the plot of a film prior to viewing, because the prior-knowledge would help to strengthen the situation model during comprehension. Furthermore, an interest-moderation hypothesis would predict that the suppression effect of prior-knowledge would only emerge when there was interest in viewing the film. In the current experiment, 108 participants either read a short story that depicted the plot (i.e., prior-knowledge condition) or read an unrelated story of equal length (control condition) prior to viewing the short film (32.5 minutes) entitled The Red Balloon. Participants self-reported their interest in viewing the film immediately before the film was presented. MW was tracked using a self-report method targeting instances of MW with metacognitive awareness. Participants in the prior-knowledge condition reported less MW compared with the control condition, thereby supporting the suppression hypothesis. MW also decreased over the duration of the film, but only for those with prior-knowledge of the film. Finally, prior-knowledge effects on MW were only observed when interest was average or high, but not when interest was low.

  14. Contribution of prior semantic knowledge to new episodic learning in amnesia.

    PubMed

    Kan, Irene P; Alexander, Michael P; Verfaellie, Mieke

    2009-05-01

    We evaluated whether prior semantic knowledge would enhance episodic learning in amnesia. Subjects studied prices that are either congruent or incongruent with prior price knowledge for grocery and household items and then performed a forced-choice recognition test for the studied prices. Consistent with a previous report, healthy controls' performance was enhanced by price knowledge congruency; however, only a subset of amnesic patients experienced the same benefit. Whereas patients with relatively intact semantic systems, as measured by an anatomical measure (i.e., lesion involvement of anterior and lateral temporal lobes), experienced a significant congruency benefit, patients with compromised semantic systems did not experience a congruency benefit. Our findings suggest that when prior knowledge structures are intact, they can support acquisition of new episodic information by providing frameworks into which such information can be incorporated.

  15. What You Know Can Hurt You: Effects of Age and Prior Knowledge on the Accuracy of Judgments of Learning

    PubMed Central

    Toth, Jeffrey P.; Daniels, Karen A.; Solinger, Lisa A.

    2011-01-01

    How do aging and prior knowledge affect memory and metamemory? We explored this question in the context of a dual-process approach to Judgments of Learning (JOLs) which require people to predict their ability to remember information at a later time. Young and older adults (n's = 36, mean ages = 20.2 & 73.1) studied the names of actors that were famous in the 1950s or 1990s, providing a JOL for each. Recognition memory for studied and unstudied actors was then assessed using a Recollect/Know/No-Memory (R/K/N) judgment task. Results showed that prior knowledge increased recollection in both age groups such that older adults recollected significantly more 1950s actors than younger adults. Also, for both age groups and both decades, actors judged R at test garnered significantly higher JOLs at study than actors judged K or N. However, while the young showed benefits of prior knowledge on relative JOL accuracy, older adults did not, showing lower levels of JOL accuracy for 1950s actors despite having higher recollection for, and knowledge about, those actors. Overall, the data suggest that prior knowledge can be a double-edged sword, increasing the availability of details that can support later recollection, but also increasing non-diagnostic feelings of familiarity that can reduce the accuracy of memory predictions. PMID:21480715

  16. A Fuzzy-Based Prior Knowledge Diagnostic Model with Multiple Attribute Evaluation

    ERIC Educational Resources Information Center

    Lin, Yi-Chun; Huang, Yueh-Min

    2013-01-01

    Prior knowledge is a very important part of teaching and learning, as it affects how instructors and students interact with the learning materials. In general, tests are used to assess students' prior knowledge. Nevertheless, conventional testing approaches usually assign only an overall score to each student, and this may mean that students are…

  17. Understanding the Role of Prior Knowledge in a Multimedia Learning Application

    ERIC Educational Resources Information Center

    Rias, Riaza Mohd; Zaman, Halimah Badioze

    2013-01-01

    This study looked at the effects that individual differences in prior knowledge have on student understanding in learning with multimedia in a computer science subject. Students were identified as having either low or high prior knowledge from a series of questions asked in a survey conducted at the Faculty of Computer and Mathematical Sciences at…

  18. Spatial abilities and anatomy knowledge assessment: A systematic review.

    PubMed

    Langlois, Jean; Bellemare, Christian; Toulouse, Josée; Wells, George A

    2017-06-01

    Anatomy knowledge has been found to include both spatial and non-spatial components. However, no systematic evaluation of studies relating spatial abilities and anatomy knowledge has been undertaken. The objective of this study was to conduct a systematic review of the relationship between spatial abilities test and anatomy knowledge assessment. A literature search was done up to March 20, 2014 in Scopus and in several databases on the OvidSP and EBSCOhost platforms. Of the 556 citations obtained, 38 articles were identified and fully reviewed yielding 21 eligible articles and their quality were formally assessed. Non-significant relationships were found between spatial abilities test and anatomy knowledge assessment using essays and non-spatial multiple-choice questions. Significant relationships were observed between spatial abilities test and anatomy knowledge assessment using practical examination, three-dimensional synthesis from two-dimensional views, drawing of views, and cross-sections. Relationships between spatial abilities test and anatomy knowledge assessment using spatial multiple-choice questions were unclear. The results of this systematic review provide evidence for spatial and non-spatial methods of anatomy knowledge assessment. Anat Sci Educ 10: 235-241. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

  19. Signaling Text-Picture Relations in Multimedia Learning: The Influence of Prior Knowledge

    ERIC Educational Resources Information Center

    Richter, Juliane; Scheiter, Katharina; Eitel, Alexander

    2018-01-01

    Multimedia integration signals highlight correspondences between text and pictures with the aim of supporting learning from multimedia. A recent meta-analysis revealed that only learners with low domain-specific prior knowledge benefit from multimedia integration signals. To more thoroughly investigate the influence of prior knowledge on the…

  20. Oral Cancer Knowledge and Diagnostic Ability Among Dental Students.

    PubMed

    Hassona, Y; Scully, C; Abu Tarboush, N; Baqain, Z; Ismail, F; Hawamdeh, S; Sawair, F

    2017-09-01

    The purpose of this study is to examine factors that influence the diagnostic ability of dental students with regards to oral cancer and oral potentially malignant disorders. Dental students at different levels of study were directly interviewed to examine their oral cancer knowledge and diagnostic ability using a validated and pre-tested survey instrument containing validated clinical images of oral cancer and oral potentially malignant disorders. An oral cancer knowledge scale (0 to 31) was generated from correct responses on oral cancer general knowledge, and a diagnostic ability scale (0 to 100) was generated from correct selections of suspicious oral lesions. Knowledge scores ranged from 0 to 27 (mean 10.1 ± 6.0); mean knowledge scores increased with year of study; 5th year students had the highest mean knowledge score (19.1 ± 4.0), while 1st year students had the lowest (5.6 ± 3.5). Diagnostic ability scores increased with year of study and ranged from 0 to 88.5 % (mean 41.8 % ± 15.6). The ability to recognize suspicious oral lesions was significantly correlated with knowledge about oral cancer and oral potentially malignant disorders (r = 0.28; P < 0.001). There is a need to improve oral cancer education curricula; increasing students' contact with patients who have oral lesions including oral cancer will help to improve their future diagnostic ability and early detection practices.

  1. Spatial Abilities and Anatomy Knowledge Assessment: A Systematic Review

    ERIC Educational Resources Information Center

    Langlois, Jean; Bellemare, Christian; Toulouse, Josée; Wells, George A.

    2017-01-01

    Anatomy knowledge has been found to include both spatial and non-spatial components. However, no systematic evaluation of studies relating spatial abilities and anatomy knowledge has been undertaken. The objective of this study was to conduct a systematic review of the relationship between spatial abilities test and anatomy knowledge assessment. A…

  2. The Role of Prior Knowledge in Learning from Analogies in Science Texts

    ERIC Educational Resources Information Center

    Braasch, Jason L. G.; Goldman, Susan R.

    2010-01-01

    Two experiments examined whether inconsistent effects of analogies in promoting new content learning from text are related to prior knowledge of the analogy "per se." In Experiment 1, college students who demonstrated little understanding of weather systems and different levels of prior knowledge (more vs. less) of an analogous everyday…

  3. A Knowledge-Based Arrangement of Prototypical Neural Representation Prior to Experience Contributes to Selectivity in Upcoming Knowledge Acquisition.

    PubMed

    Kurashige, Hiroki; Yamashita, Yuichi; Hanakawa, Takashi; Honda, Manabu

    2018-01-01

    Knowledge acquisition is a process in which one actively selects a piece of information from the environment and assimilates it with prior knowledge. However, little is known about the neural mechanism underlying selectivity in knowledge acquisition. Here we executed a 2-day human experiment to investigate the involvement of characteristic spontaneous activity resembling a so-called "preplay" in selectivity in sentence comprehension, an instance of knowledge acquisition. On day 1, we presented 10 sentences (prior sentences) that were difficult to understand on their own. On the following day, we first measured the resting-state functional magnetic resonance imaging (fMRI). Then, we administered a sentence comprehension task using 20 new sentences (posterior sentences). The posterior sentences were also difficult to understand on their own, but some could be associated with prior sentences to facilitate their understanding. Next, we measured the posterior sentence-induced fMRI to identify the neural representation. From the resting-state fMRI, we extracted the appearances of activity patterns similar to the neural representations for posterior sentences. Importantly, the resting-state fMRI was measured before giving the posterior sentences, and thus such appearances could be considered as preplay-like or prototypical neural representations. We compared the intensities of such appearances with the understanding of posterior sentences. This gave a positive correlation between these two variables, but only if posterior sentences were associated with prior sentences. Additional analysis showed the contribution of the entorhinal cortex, rather than the hippocampus, to the correlation. The present study suggests that prior knowledge-based arrangement of neural activity before an experience contributes to the active selection of information to be learned. Such arrangement prior to an experience resembles preplay activity observed in the rodent brain. In terms of knowledge

  4. Neural Mechanisms for Integrating Prior Knowledge and Likelihood in Value-Based Probabilistic Inference

    PubMed Central

    Ting, Chih-Chung; Yu, Chia-Chen; Maloney, Laurence T.

    2015-01-01

    In Bayesian decision theory, knowledge about the probabilities of possible outcomes is captured by a prior distribution and a likelihood function. The prior reflects past knowledge and the likelihood summarizes current sensory information. The two combined (integrated) form a posterior distribution that allows estimation of the probability of different possible outcomes. In this study, we investigated the neural mechanisms underlying Bayesian integration using a novel lottery decision task in which both prior knowledge and likelihood information about reward probability were systematically manipulated on a trial-by-trial basis. Consistent with Bayesian integration, as sample size increased, subjects tended to weigh likelihood information more compared with prior information. Using fMRI in humans, we found that the medial prefrontal cortex (mPFC) correlated with the mean of the posterior distribution, a statistic that reflects the integration of prior knowledge and likelihood of reward probability. Subsequent analysis revealed that both prior and likelihood information were represented in mPFC and that the neural representations of prior and likelihood in mPFC reflected changes in the behaviorally estimated weights assigned to these different sources of information in response to changes in the environment. Together, these results establish the role of mPFC in prior-likelihood integration and highlight its involvement in representing and integrating these distinct sources of information. PMID:25632152

  5. A Knowledge-Based Arrangement of Prototypical Neural Representation Prior to Experience Contributes to Selectivity in Upcoming Knowledge Acquisition

    PubMed Central

    Kurashige, Hiroki; Yamashita, Yuichi; Hanakawa, Takashi; Honda, Manabu

    2018-01-01

    Knowledge acquisition is a process in which one actively selects a piece of information from the environment and assimilates it with prior knowledge. However, little is known about the neural mechanism underlying selectivity in knowledge acquisition. Here we executed a 2-day human experiment to investigate the involvement of characteristic spontaneous activity resembling a so-called “preplay” in selectivity in sentence comprehension, an instance of knowledge acquisition. On day 1, we presented 10 sentences (prior sentences) that were difficult to understand on their own. On the following day, we first measured the resting-state functional magnetic resonance imaging (fMRI). Then, we administered a sentence comprehension task using 20 new sentences (posterior sentences). The posterior sentences were also difficult to understand on their own, but some could be associated with prior sentences to facilitate their understanding. Next, we measured the posterior sentence-induced fMRI to identify the neural representation. From the resting-state fMRI, we extracted the appearances of activity patterns similar to the neural representations for posterior sentences. Importantly, the resting-state fMRI was measured before giving the posterior sentences, and thus such appearances could be considered as preplay-like or prototypical neural representations. We compared the intensities of such appearances with the understanding of posterior sentences. This gave a positive correlation between these two variables, but only if posterior sentences were associated with prior sentences. Additional analysis showed the contribution of the entorhinal cortex, rather than the hippocampus, to the correlation. The present study suggests that prior knowledge-based arrangement of neural activity before an experience contributes to the active selection of information to be learned. Such arrangement prior to an experience resembles preplay activity observed in the rodent brain. In terms of

  6. Identification of Boolean Network Models From Time Series Data Incorporating Prior Knowledge.

    PubMed

    Leifeld, Thomas; Zhang, Zhihua; Zhang, Ping

    2018-01-01

    Motivation: Mathematical models take an important place in science and engineering. A model can help scientists to explain dynamic behavior of a system and to understand the functionality of system components. Since length of a time series and number of replicates is limited by the cost of experiments, Boolean networks as a structurally simple and parameter-free logical model for gene regulatory networks have attracted interests of many scientists. In order to fit into the biological contexts and to lower the data requirements, biological prior knowledge is taken into consideration during the inference procedure. In the literature, the existing identification approaches can only deal with a subset of possible types of prior knowledge. Results: We propose a new approach to identify Boolean networks from time series data incorporating prior knowledge, such as partial network structure, canalizing property, positive and negative unateness. Using vector form of Boolean variables and applying a generalized matrix multiplication called the semi-tensor product (STP), each Boolean function can be equivalently converted into a matrix expression. Based on this, the identification problem is reformulated as an integer linear programming problem to reveal the system matrix of Boolean model in a computationally efficient way, whose dynamics are consistent with the important dynamics captured in the data. By using prior knowledge the number of candidate functions can be reduced during the inference. Hence, identification incorporating prior knowledge is especially suitable for the case of small size time series data and data without sufficient stimuli. The proposed approach is illustrated with the help of a biological model of the network of oxidative stress response. Conclusions: The combination of efficient reformulation of the identification problem with the possibility to incorporate various types of prior knowledge enables the application of computational model inference to

  7. Science Literacy and Prior Knowledge of Astronomy MOOC Students

    NASA Astrophysics Data System (ADS)

    Impey, Chris David; Buxner, Sanlyn; Wenger, Matthew; Formanek, Martin

    2018-01-01

    Many of science classes offered on Coursera fall into fall into the category of general education or general interest classes for lifelong learners, including our own, Astronomy: Exploring Time and Space. Very little is known about the backgrounds and prior knowledge of these students. In this talk we present the results of a survey of our Astronomy MOOC students. We also compare these results to our previous work on undergraduate students in introductory astronomy courses. Survey questions examined student demographics and motivations as well as their science and information literacy (including basic science knowledge, interest, attitudes and beliefs, and where they get their information about science). We found that our MOOC students are different than the undergraduate students in more ways than demographics. Many MOOC students demonstrated high levels of science and information literacy. With a more comprehensive understanding of our students’ motivations and prior knowledge about science and how they get their information about science, we will be able to develop more tailored learning experiences for these lifelong learners.

  8. Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations.

    PubMed

    Zollanvari, Amin; Dougherty, Edward R

    2016-12-01

    In classification, prior knowledge is incorporated in a Bayesian framework by assuming that the feature-label distribution belongs to an uncertainty class of feature-label distributions governed by a prior distribution. A posterior distribution is then derived from the prior and the sample data. An optimal Bayesian classifier (OBC) minimizes the expected misclassification error relative to the posterior distribution. From an application perspective, prior construction is critical. The prior distribution is formed by mapping a set of mathematical relations among the features and labels, the prior knowledge, into a distribution governing the probability mass across the uncertainty class. In this paper, we consider prior knowledge in the form of stochastic differential equations (SDEs). We consider a vector SDE in integral form involving a drift vector and dispersion matrix. Having constructed the prior, we develop the optimal Bayesian classifier between two models and examine, via synthetic experiments, the effects of uncertainty in the drift vector and dispersion matrix. We apply the theory to a set of SDEs for the purpose of differentiating the evolutionary history between two species.

  9. Acquired prior knowledge modulates audiovisual integration.

    PubMed

    Van Wanrooij, Marc M; Bremen, Peter; John Van Opstal, A

    2010-05-01

    Orienting responses to audiovisual events in the environment can benefit markedly by the integration of visual and auditory spatial information. However, logically, audiovisual integration would only be considered successful for stimuli that are spatially and temporally aligned, as these would be emitted by a single object in space-time. As humans do not have prior knowledge about whether novel auditory and visual events do indeed emanate from the same object, such information needs to be extracted from a variety of sources. For example, expectation about alignment or misalignment could modulate the strength of multisensory integration. If evidence from previous trials would repeatedly favour aligned audiovisual inputs, the internal state might also assume alignment for the next trial, and hence react to a new audiovisual event as if it were aligned. To test for such a strategy, subjects oriented a head-fixed pointer as fast as possible to a visual flash that was consistently paired, though not always spatially aligned, with a co-occurring broadband sound. We varied the probability of audiovisual alignment between experiments. Reaction times were consistently lower in blocks containing only aligned audiovisual stimuli than in blocks also containing pseudorandomly presented spatially disparate stimuli. Results demonstrate dynamic updating of the subject's prior expectation of audiovisual congruency. We discuss a model of prior probability estimation to explain the results.

  10. Age differences in suggestibility to contradictions of demonstrated knowledge: the influence of prior knowledge.

    PubMed

    Umanath, Sharda

    2016-11-01

    People maintain intact general knowledge into very old age and use it to support remembering. Interestingly, when older and younger adults encounter errors that contradict general knowledge, older adults suffer fewer memorial consequences: Older adults use fewer recently-encountered errors as answers for later knowledge questions. Why do older adults show this reduced suggestibility, and what role does their intact knowledge play? In three experiments, I examined suggestibility following exposure to errors in fictional stories that contradict general knowledge. Older adults consistently demonstrated more prior knowledge than younger adults but also gained access to even more across time. Additionally, they did not show a reduction in new learning from the stories, indicating lesser involvement of episodic memory failures. Critically, when knowledge was stably accessible, older adults relied more heavily on that knowledge compared to younger adults, resulting in reduced suggestibility. Implications for the broader role of knowledge in aging are discussed.

  11. MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft

    PubMed Central

    Zhang, Jing

    2015-01-01

    This paper develops a novel state-tracking multivariable model reference adaptive control (MRAC) technique utilizing prior knowledge of plant models to recover control performance of an asymmetric structural damaged aircraft. A modification of linear model representation is given. With prior knowledge on structural damage, a polytope linear parameter varying (LPV) model is derived to cover all concerned damage conditions. An MRAC method is developed for the polytope model, of which the stability and asymptotic error convergence are theoretically proved. The proposed technique reduces the number of parameters to be adapted and thus decreases computational cost and requires less input information. The method is validated by simulations on NASA generic transport model (GTM) with damage. PMID:26180839

  12. What are they up to? The role of sensory evidence and prior knowledge in action understanding.

    PubMed

    Chambon, Valerian; Domenech, Philippe; Pacherie, Elisabeth; Koechlin, Etienne; Baraduc, Pierre; Farrer, Chlöé

    2011-02-18

    Explaining or predicting the behaviour of our conspecifics requires the ability to infer the intentions that motivate it. Such inferences are assumed to rely on two types of information: (1) the sensory information conveyed by movement kinematics and (2) the observer's prior expectations--acquired from past experience or derived from prior knowledge. However, the respective contribution of these two sources of information is still controversial. This controversy stems in part from the fact that "intention" is an umbrella term that may embrace various sub-types each being assigned different scopes and targets. We hypothesized that variations in the scope and target of intentions may account for variations in the contribution of visual kinematics and prior knowledge to the intention inference process. To test this hypothesis, we conducted four behavioural experiments in which participants were instructed to identify different types of intention: basic intentions (i.e. simple goal of a motor act), superordinate intentions (i.e. general goal of a sequence of motor acts), or social intentions (i.e. intentions accomplished in a context of reciprocal interaction). For each of the above-mentioned intentions, we varied (1) the amount of visual information available from the action scene and (2) participant's prior expectations concerning the intention that was more likely to be accomplished. First, we showed that intentional judgments depend on a consistent interaction between visual information and participant's prior expectations. Moreover, we demonstrated that this interaction varied according to the type of intention to be inferred, with participant's priors rather than perceptual evidence exerting a greater effect on the inference of social and superordinate intentions. The results are discussed by appealing to the specific properties of each type of intention considered and further interpreted in the light of a hierarchical model of action representation.

  13. What Are They Up To? The Role of Sensory Evidence and Prior Knowledge in Action Understanding

    PubMed Central

    Chambon, Valerian; Domenech, Philippe; Pacherie, Elisabeth; Koechlin, Etienne; Baraduc, Pierre; Farrer, Chlöé

    2011-01-01

    Explaining or predicting the behaviour of our conspecifics requires the ability to infer the intentions that motivate it. Such inferences are assumed to rely on two types of information: (1) the sensory information conveyed by movement kinematics and (2) the observer's prior expectations – acquired from past experience or derived from prior knowledge. However, the respective contribution of these two sources of information is still controversial. This controversy stems in part from the fact that “intention” is an umbrella term that may embrace various sub-types each being assigned different scopes and targets. We hypothesized that variations in the scope and target of intentions may account for variations in the contribution of visual kinematics and prior knowledge to the intention inference process. To test this hypothesis, we conducted four behavioural experiments in which participants were instructed to identify different types of intention: basic intentions (i.e. simple goal of a motor act), superordinate intentions (i.e. general goal of a sequence of motor acts), or social intentions (i.e. intentions accomplished in a context of reciprocal interaction). For each of the above-mentioned intentions, we varied (1) the amount of visual information available from the action scene and (2) participant's prior expectations concerning the intention that was more likely to be accomplished. First, we showed that intentional judgments depend on a consistent interaction between visual information and participant's prior expectations. Moreover, we demonstrated that this interaction varied according to the type of intention to be inferred, with participant's priors rather than perceptual evidence exerting a greater effect on the inference of social and superordinate intentions. The results are discussed by appealing to the specific properties of each type of intention considered and further interpreted in the light of a hierarchical model of action representation. PMID

  14. The Influence of Self-Regulated Learning and Prior Knowledge on Knowledge Acquisition in Computer-Based Learning Environments

    ERIC Educational Resources Information Center

    Bernacki, Matthew

    2010-01-01

    This study examined how learners construct textbase and situation model knowledge in hypertext computer-based learning environments (CBLEs) and documented the influence of specific self-regulated learning (SRL) tactics, prior knowledge, and characteristics of the learner on posttest knowledge scores from exposure to a hypertext. A sample of 160…

  15. The Relation between Prior Knowledge and Students' Collaborative Discovery Learning Processes

    ERIC Educational Resources Information Center

    Gijlers, Hannie; de Jong, Ton

    2005-01-01

    In this study we investigate how prior knowledge influences knowledge development during collaborative discovery learning. Fifteen dyads of students (pre-university education, 15-16 years old) worked on a discovery learning task in the physics field of kinematics. The (face-to-face) communication between students was recorded and the interaction…

  16. Does prior domain-specific content knowledge influence students' recall of arguments surrounding interdisciplinary topics?

    PubMed

    Schmidt, Hiemke K; Rothgangel, Martin; Grube, Dietmar

    2017-12-01

    Awareness of various arguments can help interactants present opinions, stress points, and build counterarguments during discussions. At school, some topics are taught in a way that students learn to accumulate knowledge and gather arguments, and later employ them during debates. Prior knowledge may facilitate recalling information on well structured, fact-based topics, but does it facilitate recalling arguments during discussions on complex, interdisciplinary topics? We assessed the prior knowledge in domains related to a bioethical topic of 277 students from Germany (approximately 15 years old), their interest in the topic, and their general knowledge. The students read a text with arguments for and against prenatal diagnostics and tried to recall the arguments one week later and again six weeks later. Prior knowledge in various domains related to the topic individually and separately helped students recall the arguments. These relationships were independent of students' interest in the topic and their general knowledge. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

  17. Potentiation in young infants: The origin of the prior knowledge effect?

    PubMed Central

    Barr, Rachel; Rovee-Collier, Carolyn; Learmonth, Amy

    2011-01-01

    In two experiments with 6-month-old infants, we found that prior learning of an operant task (remembered for 2 weeks) mediated new learning of a modeling event (remembered for only 1 day) and increased its recall. Infants first learned to associate lever pressing with moving a toy train housed in a large box. One or 2 weeks later, three target actions were modeled on a hand puppet while the train box (a retrieval cue) was in view. Merely retrieving the train memory strengthened it, and simultaneously pairing its retrieved memory with the modeled actions potentiated their learning and recall. When paired 1 week later, deferred imitation increased from 1 day to 4 weeks; when paired 2 weeks later, it increased from 1 day to 6 weeks. The striking parallels between potentiated learning in infants and the prior knowledge effect in adults suggests that the prior knowledge effect originates in early infancy. PMID:21264602

  18. Learning from Instructional Animations: How Does Prior Knowledge Mediate the Effect of Visual Cues?

    ERIC Educational Resources Information Center

    Arslan-Ari, I.

    2018-01-01

    The purpose of this study was to investigate the effects of cueing and prior knowledge on learning and mental effort of students studying an animation with narration. This study employed a 2 (no cueing vs. visual cueing) × 2 (low vs. high prior knowledge) between-subjects factorial design. The results revealed a significant interaction effect…

  19. Students' inductive reasoning skills and the relevance of prior knowledge: an exploratory study with a computer-based training course on the topic of acne vulgaris.

    PubMed

    Horn-Ritzinger, Sabine; Bernhardt, Johannes; Horn, Michael; Smolle, Josef

    2011-04-01

    The importance of inductive instruction in medical education is increasingly growing. Little is known about the relevance of prior knowledge regarding students' inductive reasoning abilities. The purpose is to evaluate this inductive teaching method as a means of fostering higher levels of learning and to explore how individual differences in prior knowledge (high [HPK] vs. low [LPK]) contribute to students' inductive reasoning skills. Twenty-six LPK and 18 HPK students could train twice with an interactive computer-based training object to discover the underlying concept before doing the final comprehension check. Students had a median of 76.9% of correct answers in the first, 90.9% in the second training, and answered 92% of the final assessment questions correctly. More important, 86% of all students succeeded with inductive learning, among them 83% of the HPK students and 89% of the LPK students. Prior knowledge did not predict performance on overall comprehension. This inductive instructional strategy fostered students' deep approaches to learning in a time-effective way.

  20. Deepening Understanding of Prior Knowledge: What Diverse First-Generation College Students in the U.S. Can Teach Us

    ERIC Educational Resources Information Center

    Castillo-Montoya, Milagros

    2017-01-01

    Educational research indicates that teachers revealing and utilizing students' prior knowledge supports students' academic learning. Yet, the variation in students' prior knowledge is not fully known. To better understand students' prior knowledge, I drew on sociocultural learning theories to examine racially and ethnically diverse college…

  1. Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines

    PubMed Central

    Mikut, Ralf

    2017-01-01

    Many automatically analyzable scientific questions are well-posed and a variety of information about expected outcomes is available a priori. Although often neglected, this prior knowledge can be systematically exploited to make automated analysis operations sensitive to a desired phenomenon or to evaluate extracted content with respect to this prior knowledge. For instance, the performance of processing operators can be greatly enhanced by a more focused detection strategy and by direct information about the ambiguity inherent in the extracted data. We present a new concept that increases the result quality awareness of image analysis operators by estimating and distributing the degree of uncertainty involved in their output based on prior knowledge. This allows the use of simple processing operators that are suitable for analyzing large-scale spatiotemporal (3D+t) microscopy images without compromising result quality. On the foundation of fuzzy set theory, we transform available prior knowledge into a mathematical representation and extensively use it to enhance the result quality of various processing operators. These concepts are illustrated on a typical bioimage analysis pipeline comprised of seed point detection, segmentation, multiview fusion and tracking. The functionality of the proposed approach is further validated on a comprehensive simulated 3D+t benchmark data set that mimics embryonic development and on large-scale light-sheet microscopy data of a zebrafish embryo. The general concept introduced in this contribution represents a new approach to efficiently exploit prior knowledge to improve the result quality of image analysis pipelines. The generality of the concept makes it applicable to practically any field with processing strategies that are arranged as linear pipelines. The automated analysis of terabyte-scale microscopy data will especially benefit from sophisticated and efficient algorithms that enable a quantitative and fast readout. PMID

  2. The Effect of Prior Knowledge Activation on Text Recall: An Investigation of Two Conflicting Hypotheses.

    ERIC Educational Resources Information Center

    Machiels-Bongaerts, Maureen; And Others

    Two hypotheses, the cognitive capacity hypothesis and the selective attention hypothesis, try to account for the facilitation effects of prior knowledge activation. They appear to be mutually exclusive since they predict different recall patterns as a result of prior knowledge activation. This study was designed to determine whether the two…

  3. Relationship of prior knowledge and working engineers' learning preferences: implications for designing effective instruction

    NASA Astrophysics Data System (ADS)

    Baukal, Charles E.; Ausburn, Lynna J.

    2017-05-01

    Continuing engineering education (CEE) is important to ensure engineers maintain proficiency over the life of their careers. However, relatively few studies have examined designing effective training for working engineers. Research has indicated that both learner instructional preferences and prior knowledge can impact the learning process, but it has not established if these factors are interrelated. The study reported here considered relationships of prior knowledge and three aspects of learning preferences of working engineers at a manufacturing company: learning strategy choices, verbal-visual cognitive styles, and multimedia preferences. Prior knowledge was not found to be significantly related to engineers' learning preferences, indicating independence of effects of these variables on learning. The study also examined relationships of this finding to the Multimedia Cone of Abstraction and implications for its use as an instructional design tool for CEE.

  4. The Effects of the Timing of Isolated FFI on the Explicit Knowledge and Written Accuracy of Learners with Different Prior Knowledge of the Linguistic Target

    ERIC Educational Resources Information Center

    Shintani, Natsuko

    2017-01-01

    This study examines the effects of the timing of explicit instruction (EI) on grammatical accuracy. A total of 123 learners were divided into two groups: those with some productive knowledge of past-counterfactual conditionals (+Prior Knowledge) and those without such knowledge (-Prior Knowledge). Each group was divided into four conditions. Two…

  5. Does nurses'perceived burn prevention knowledge and ability to teach burn prevention correlate with their actual burn prevention knowledge?

    PubMed

    Lehna, Carlee; Myers, John

    2010-01-01

    The purpose of this study was to explore the relationship among nurses'perceived burn prevention knowledge, their perceived ability to teach about burn prevention, and their actual burn prevention knowledge and to test if their actual burn knowledge could be predicted by these perceived measures. A two-page, anonymous survey that included a 10-item burn prevention knowledge test and an assessment of nurses'perceived knowledge of burn prevention and their perceived ability to teach burn prevention was administered to 313 nurses. Actual burn prevention knowledge was determined and the correlation among actual burn prevention knowledge, perceived knowledge, and perceived ability to teach was determined. Differences in these outcome variables based on specialty area were tested using analysis of variance techniques. Generalized linear modeling techniques were used to investigate which variables significantly predict a nurse's actual burn prevention knowledge. Test for interaction effects were performed, and significance was set at .05. Responding nurses (N = 265) described practicing in a variety of settings, such as pediatric settings (40.2%, n = 105), emergency departments (25.4%, n = 86), medical/surgical settings (8.4%, n = 22), and one pediatric burn setting (4.1%, n = 14), with all specialty areas as having similar actual burn prevention knowledge (P = .052). Seventy-seven percent of the nurses said they never taught about burn prevention (n = 177). Perceived knowledge and actual knowledge (r = .124, P = .046) as well as perceived knowledge and perceived ability were correlated (r = .799, P < .001). Significant predictors of actual knowledge were years in practice (beta = -0.063, P = .034), years in current area (beta = 0.072, P = .003), perceived knowledge (beta = 0.109, P = .042), and perceived ability (beta = 0.137, P = .019). All nurses, regardless of specialty area, have poor burn prevention knowledge, which is correlated with their perceived lack of

  6. Prior knowledge guided active modules identification: an integrated multi-objective approach.

    PubMed

    Chen, Weiqi; Liu, Jing; He, Shan

    2017-03-14

    Active module, defined as an area in biological network that shows striking changes in molecular activity or phenotypic signatures, is important to reveal dynamic and process-specific information that is correlated with cellular or disease states. A prior information guided active module identification approach is proposed to detect modules that are both active and enriched by prior knowledge. We formulate the active module identification problem as a multi-objective optimisation problem, which consists two conflicting objective functions of maximising the coverage of known biological pathways and the activity of the active module simultaneously. Network is constructed from protein-protein interaction database. A beta-uniform-mixture model is used to estimate the distribution of p-values and generate scores for activity measurement from microarray data. A multi-objective evolutionary algorithm is used to search for Pareto optimal solutions. We also incorporate a novel constraints based on algebraic connectivity to ensure the connectedness of the identified active modules. Application of proposed algorithm on a small yeast molecular network shows that it can identify modules with high activities and with more cross-talk nodes between related functional groups. The Pareto solutions generated by the algorithm provides solutions with different trade-off between prior knowledge and novel information from data. The approach is then applied on microarray data from diclofenac-treated yeast cells to build network and identify modules to elucidate the molecular mechanisms of diclofenac toxicity and resistance. Gene ontology analysis is applied to the identified modules for biological interpretation. Integrating knowledge of functional groups into the identification of active module is an effective method and provides a flexible control of balance between pure data-driven method and prior information guidance.

  7. Teaching Practice: A Perspective on Inter-Text and Prior Knowledge

    ERIC Educational Resources Information Center

    Costley, Kevin C.; West, Howard G.

    2012-01-01

    The use of teaching practices that involve intertextual relationship discovery in today's elementary classrooms is increasingly essential to the success of young learners of reading. Teachers must constantly strive to expand their perspective of how to incorporate the dialogue included in prior knowledge assessment. Teachers must also consider how…

  8. Elaborative-Interrogation and Prior-Knowledge Effects on Learning of Facts.

    ERIC Educational Resources Information Center

    Woloshyn, Vera E.; And Others

    1992-01-01

    The differences among elaborative-interrogation, reading-to-understand, and no-exposure control conditions with familiar domain material in contrast to unfamiliar domain material were studied for 50 Canadian and 50 west German undergraduates. Results provide evidence of effects of both elaborative interrogation and prior knowledge on learning.…

  9. Composing Knowledge: Writing, Rhetoric, and Reflection in Prior Learning Assessment

    ERIC Educational Resources Information Center

    Leaker, Cathy; Ostman, Heather

    2010-01-01

    In this article, we argue that prior learning assessment (PLA) essays manifest a series of issues central to composition research and practice: they foreground the "contact zone" between the unauthorized writer, institutional power, and the articulation of knowledge claims; they reinforce the central role of a multifaceted approach to…

  10. Effects of Students' Prior Knowledge on Scientific Reasoning in Density.

    ERIC Educational Resources Information Center

    Yang, Il-Ho; Kwon, Yong-Ju; Kim, Young-Shin; Jang, Myoung-Duk; Jeong, Jin-Woo; Park, Kuk-Tae

    2002-01-01

    Investigates the effects of students' prior knowledge on the scientific reasoning processes of performing the task of controlling variables with computer simulation and identifies a number of problems that students encounter in scientific discovery. Involves (n=27) 5th grade students and (n=33) 7th grade students. Indicates that students' prior…

  11. Sleep Spindle Density Predicts the Effect of Prior Knowledge on Memory Consolidation

    PubMed Central

    Lambon Ralph, Matthew A.; Kempkes, Marleen; Cousins, James N.; Lewis, Penelope A.

    2016-01-01

    Information that relates to a prior knowledge schema is remembered better and consolidates more rapidly than information that does not. Another factor that influences memory consolidation is sleep and growing evidence suggests that sleep-related processing is important for integration with existing knowledge. Here, we perform an examination of how sleep-related mechanisms interact with schema-dependent memory advantage. Participants first established a schema over 2 weeks. Next, they encoded new facts, which were either related to the schema or completely unrelated. After a 24 h retention interval, including a night of sleep, which we monitored with polysomnography, participants encoded a second set of facts. Finally, memory for all facts was tested in a functional magnetic resonance imaging scanner. Behaviorally, sleep spindle density predicted an increase of the schema benefit to memory across the retention interval. Higher spindle densities were associated with reduced decay of schema-related memories. Functionally, spindle density predicted increased disengagement of the hippocampus across 24 h for schema-related memories only. Together, these results suggest that sleep spindle activity is associated with the effect of prior knowledge on memory consolidation. SIGNIFICANCE STATEMENT Episodic memories are gradually assimilated into long-term memory and this process is strongly influenced by sleep. The consolidation of new information is also influenced by its relationship to existing knowledge structures, or schemas, but the role of sleep in such schema-related consolidation is unknown. We show that sleep spindle density predicts the extent to which schemas influence the consolidation of related facts. This is the first evidence that sleep is associated with the interaction between prior knowledge and long-term memory formation. PMID:27030764

  12. Genetic Pedagogical Content Knowledge (PCK) Ability Profile of Prospective Biology Teacher

    NASA Astrophysics Data System (ADS)

    Purwianingsih, W.; Muthmainnah, E.; Hidayat, T.

    2017-02-01

    Genetics is one of the topics or subject matter in biology that are considered difficult. Student difficulties of understanding genetics, can be caused by lack of understanding this concept and the way of teachers teach. Pedagogical Content Knowledge (PCK) is a way to understand the complex relationships between teaching and content taught through the use of specific teaching approaches. The aims of study was to analyze genetic PCK ability profile of prospective biology teacher.13 student of sixth semester Biology education department who learned Kapita Selekta Biologi SMA course, participated in this study. PCK development was measured by CoRes (Content Representation). Before students fill CoRes, students are tested mastery genetic concepts through a multiple-choice test with three tier-test. Data was obtained from the prior CoRes and its revisions, as well as the mastery concept in pre and post test. Results showed that pre-test of genetic mastery concepts average on 55.4% (low category) and beginning of the writing CoRes, student get 43.2% (Pra PCK). After students get lecture and simulating learning, the post-test increased to 63.8% (sufficient category) and PCK revision is also increase 58.1% (growing PCK). It can be concluded that mastery of subject matter could affects the ability of genetic PCK.

  13. An investigation of prior knowledge in Automatic Music Transcription systems.

    PubMed

    Cazau, Dorian; Revillon, Guillaume; Krywyk, Julien; Adam, Olivier

    2015-10-01

    Automatic transcription of music is a long-studied research field with many operational systems available commercially. In this paper, a generic transcription system able to host various prior knowledge parameters has been developed, followed by an in-depth investigation of their impact on music transcription. Explicit links between musical knowledge and algorithmic formalism have been made. Musical knowledge covers classes of timbre, musicology, and playing style of an instrument repertoire. An evaluation sound corpus gathering musical pieces played by human performers from three different instrument repertoires, namely, classical piano, steel-string acoustic guitar, and the marovany zither from Madagascar, has been developed. The different components of musical knowledge have been successively incorporated in a complete transcription system, consisting mainly of a Probabilistic Latent Component Analysis algorithm post-processed with a Hidden Markov Model, and their impact on transcription results have been comparatively evaluated.

  14. Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem.

    PubMed

    Lu, Qiang; Ren, Jun; Wang, Zhiguang

    2016-01-01

    A researcher can infer mathematical expressions of functions quickly by using his professional knowledge (called Prior Knowledge). But the results he finds may be biased and restricted to his research field due to limitation of his knowledge. In contrast, Genetic Programming method can discover fitted mathematical expressions from the huge search space through running evolutionary algorithms. And its results can be generalized to accommodate different fields of knowledge. However, since GP has to search a huge space, its speed of finding the results is rather slow. Therefore, in this paper, a framework of connection between Prior Formula Knowledge and GP (PFK-GP) is proposed to reduce the space of GP searching. The PFK is built based on the Deep Belief Network (DBN) which can identify candidate formulas that are consistent with the features of experimental data. By using these candidate formulas as the seed of a randomly generated population, PFK-GP finds the right formulas quickly by exploring the search space of data features. We have compared PFK-GP with Pareto GP on regression of eight benchmark problems. The experimental results confirm that the PFK-GP can reduce the search space and obtain the significant improvement in the quality of SR.

  15. PRIOR-WK&E: Social Software for Policy Making in the Knowledge Society

    NASA Astrophysics Data System (ADS)

    Turón, Alberto; Aguarón, Juan; Escobar, María Teresa; Gallardo, Carolina; Moreno-Jiménez, José María; Salazar, José Luis

    This paper presents a social software application denominated as PRIOR-WK&E. It has been developed by the Zaragoza Multicriteria Decision Making Group (GDMZ) with the aim of responding to the challenges of policy making in the Knowledge Society. Three specific modules have been added to PRIOR, the collaborative tool used by the research group (GDMZ) for considering the multicriteria selection of a discrete set of alternatives. The first module (W), that deals with multiactor decision making through the Web, and the second (K), that concerns the extraction and diffusion of knowledge related to the scientific resolution of the problem, were explained in [1]. The new application strengthens securitization and includes a third module (E) that evaluates the effectiveness of public administrations policy making.

  16. Exploring expectation effects in EMDR: does prior treatment knowledge affect the degrading effects of eye movements on memories?

    PubMed Central

    Littel, Marianne; van Schie, Kevin; van den Hout, Marcel A.

    2017-01-01

    ABSTRACT Background: Eye movement desensitization and reprocessing (EMDR) is an effective psychological treatment for posttraumatic stress disorder. Recalling a memory while simultaneously making eye movements (EM) decreases a memory’s vividness and/or emotionality. It has been argued that non-specific factors, such as treatment expectancy and experimental demand, may contribute to the EMDR’s effectiveness. Objective: The present study was designed to test whether expectations about the working mechanism of EMDR would alter the memory attenuating effects of EM. Two experiments were conducted. In Experiment 1, we examined the effects of pre-existing (non-manipulated) knowledge of EMDR in participants with and without prior knowledge. In Experiment 2, we experimentally manipulated prior knowledge by providing participants without prior knowledge with correct or incorrect information about EMDR’s working mechanism. Method: Participants in both experiments recalled two aversive, autobiographical memories during brief sets of EM (Recall+EM) or keeping eyes stationary (Recall Only). Before and after the intervention, participants scored their memories on vividness and emotionality. A Bayesian approach was used to compare two competing hypotheses on the effects of (existing/given) prior knowledge: (1) Prior (correct) knowledge increases the effects of Recall+EM vs. Recall Only, vs. (2) prior knowledge does not affect the effects of Recall+EM. Results: Recall+EM caused greater reductions in memory vividness and emotionality than Recall Only in all groups, including the incorrect information group. In Experiment 1, both hypotheses were supported by the data: prior knowledge boosted the effects of EM, but only modestly. In Experiment 2, the second hypothesis was clearly supported over the first: providing knowledge of the underlying mechanism of EMDR did not alter the effects of EM. Conclusions: Recall+EM appears to be quite robust against the effects of prior

  17. Prior Knowledge and Story Processing: Integration, Selection, and Variation. Technical Report No. 138.

    ERIC Educational Resources Information Center

    Spiro, Rand J.

    Psychological research concerning several aspects of the relationship between existing knowledge schemata and the processing of text is summarized in this report. The first section is concerned with dynamic processes of story understanding, with emphasis on the integration of information. The role of prior knowledge in accommodating parts of…

  18. Discovery learning model with geogebra assisted for improvement mathematical visual thinking ability

    NASA Astrophysics Data System (ADS)

    Juandi, D.; Priatna, N.

    2018-05-01

    The main goal of this study is to improve the mathematical visual thinking ability of high school student through implementation the Discovery Learning Model with Geogebra Assisted. This objective can be achieved through study used quasi-experimental method, with non-random pretest-posttest control design. The sample subject of this research consist of 62 senior school student grade XI in one of school in Bandung district. The required data will be collected through documentation, observation, written tests, interviews, daily journals, and student worksheets. The results of this study are: 1) Improvement students Mathematical Visual Thinking Ability who obtain learning with applied the Discovery Learning Model with Geogebra assisted is significantly higher than students who obtain conventional learning; 2) There is a difference in the improvement of students’ Mathematical Visual Thinking ability between groups based on prior knowledge mathematical abilities (high, medium, and low) who obtained the treatment. 3) The Mathematical Visual Thinking Ability improvement of the high group is significantly higher than in the medium and low groups. 4) The quality of improvement ability of high and low prior knowledge is moderate category, in while the quality of improvement ability in the high category achieved by student with medium prior knowledge.

  19. Relationship of resident characteristics, attitudes, prior training and clinical knowledge to communication skills performance.

    PubMed

    Laidlaw, Toni Suzuki; Kaufman, David M; MacLeod, Heather; van Zanten, Sander; Simpson, David; Wrixon, William

    2006-01-01

    A substantial body of literature demonstrates that communication skills in medicine can be taught and retained through teaching and practice. Considerable evidence also reveals that characteristics such as gender, age, language and attitudes affect communication skills performance. Our study examined the characteristics, attitudes and prior communication skills training of residents to determine the relationship of each to patient-doctor communication. The relationship between communication skills proficiency and clinical knowledge application (biomedical and ethical) was also examined through the use of doctor-developed clinical content checklists, as very little research has been conducted in this area. A total of 78 first- and second-year residents across all departments at Dalhousie Medical School participated in a videotaped 4-station objective structured clinical examination presenting a range of communication and clinical knowledge challenges. A variety of instruments were used to gather information and assess performance. Two expert raters evaluated the videotapes. Significant relationships were observed between resident characteristics, prior communication skills training, clinical knowledge and communication skills performance. Females, younger residents and residents with English as first language scored significantly higher, as did residents with prior communication skills training. A significant positive relationship was found between the clinical content checklist and communication performance. Gender was the only characteristic related significantly to attitudes. Gender, age, language and prior communication skills training are related to communication skills performance and have implications for resident education. The positive relationship between communication skills proficiency and clinical knowledge application is important and should be explored further.

  20. Effects of Activation of Prior Knowledge on the Recall of a Clinical Case.

    ERIC Educational Resources Information Center

    Schmidt, Henk G.; Boshuizen, Henny P. A.

    A study investigated the known phenomenon of "intermediate effect" in which medical students with an intermediate amount of knowledge and experience demonstrate higher amounts of recall of the text of a medical case than either experienced clinicians or novices. In this study the amount of activation of prior knowledge was controlled by…

  1. Contribution of Content Knowledge and Learning Ability to the Learning of Facts.

    ERIC Educational Resources Information Center

    Kuhara-Kojima, Keiko; Hatano, Giyoo

    1991-01-01

    In 3 experiments, 1,598 Japanese college students were examined concerning the learning of facts in 2 content domains, baseball and music. Content knowledge facilitated fact learning only in the relevant domain; learning ability facilitated fact learning in both domains. Effects of content knowledge and learning ability were additive. (SLD)

  2. Cognitive Ability, Learning Approaches and Personality Correlates of General Knowledge

    ERIC Educational Resources Information Center

    Furnham, Adrian; Swami, Viren; Arteche, Adriane; Chamorro-Premuzic, Tomas

    2008-01-01

    The relationship between general knowledge (GK) and cognitive ability (IQ and abstract reasoning), learning approaches, and personality ("big five" traits and typical intellectual engagement) was investigated in a sample of 101 British undergraduates. As predicted, GK was positively correlated with cognitive ability (more so with IQ than…

  3. Building Knowledge through Portfolio Learning in Prior Learning Assessment and Recognition

    ERIC Educational Resources Information Center

    Conrad, Dianne

    2008-01-01

    It is important for academic credibility that the process of prior learning assessment and recognition (PLAR) keeps learning and knowledge as its foundational tenets. Doing so ensures PLAR's recognition as a fertile ground for learners' cognitive and personal growth. In many postsecondary venues, PLAR is often misunderstood and confused with…

  4. Does Problem Solving = Prior Knowledge + Reasoning Skills in Earth Science? An Exploratory Study

    ERIC Educational Resources Information Center

    Chang, Chun-Yen

    2010-01-01

    This study examined the interrelationship between tenth-grade students' problem solving ability (PSA) and their domain-specific knowledge (DSK) as well as reasoning skills (RS) in a secondary school of Taiwan. The PSA test was designed to emphasize students' divergent-thinking ability (DTA) and convergent-thinking ability (CTA) subscales in the…

  5. Prior-knowledge-based feedforward network simulation of true boiling point curve of crude oil.

    PubMed

    Chen, C W; Chen, D Z

    2001-11-01

    Theoretical results and practical experience indicate that feedforward networks can approximate a wide class of functional relationships very well. This property is exploited in modeling chemical processes. Given finite and noisy training data, it is important to encode the prior knowledge in neural networks to improve the fit precision and the prediction ability of the model. In this paper, as to the three-layer feedforward networks and the monotonic constraint, the unconstrained method, Joerding's penalty function method, the interpolation method, and the constrained optimization method are analyzed first. Then two novel methods, the exponential weight method and the adaptive method, are proposed. These methods are applied in simulating the true boiling point curve of a crude oil with the condition of increasing monotonicity. The simulation experimental results show that the network models trained by the novel methods are good at approximating the actual process. Finally, all these methods are discussed and compared with each other.

  6. The Importance of Prior Knowledge when Comparing Examples: Influences on Conceptual and Procedural Knowledge of Equation Solving

    ERIC Educational Resources Information Center

    Rittle-Johnson, Bethany; Star, Jon R.; Durkin, Kelley

    2009-01-01

    Comparing multiple examples typically supports learning and transfer in laboratory studies and is considered a key feature of high-quality mathematics instruction. This experimental study investigated the importance of prior knowledge in learning from comparison. Seventh- and 8th-grade students (N = 236) learned to solve equations by comparing…

  7. Preceptors' Expectations of Nursing Students' Preparation before Placement in Psychiatry: Ability and Will to Reflect on and Exercise Knowledge.

    PubMed

    Kirkbakk-Fjær, Kari; Andfossen, Nina Beate; Hedelin, Birgitta

    2015-04-01

    Nursing students must be prepared to provide nursing care regardless of the patient's illness. This requires that nursing education, including clinical placements, strengthen knowledge and skills in mental health nursing. The aim of this qualitative study was to describe 15 preceptors' expectations of nursing students' preparedness before they entered the psychiatric field. Data was collected with focus group interviews and analysed using conventional content analysis. The findings show that preceptors are concerned about the nursing students' will and ability to reflect on and exercise knowledge for managing the student role and themselves; for adapting their perspective on humanity; for their understanding of illness and how they are interacting with persons with mental illness. The conclusion is that the preceptors expect the educators to give sufficient theoretical knowledge and assess the students' personal maturity prior to entering the psychiatric field.

  8. Prior knowledge driven Granger causality analysis on gene regulatory network discovery

    DOE PAGES

    Yao, Shun; Yoo, Shinjae; Yu, Dantong

    2015-08-28

    Our study focuses on discovering gene regulatory networks from time series gene expression data using the Granger causality (GC) model. However, the number of available time points (T) usually is much smaller than the number of target genes (n) in biological datasets. The widely applied pairwise GC model (PGC) and other regularization strategies can lead to a significant number of false identifications when n>>T. In this study, we proposed a new method, viz., CGC-2SPR (CGC using two-step prior Ridge regularization) to resolve the problem by incorporating prior biological knowledge about a target gene data set. In our simulation experiments, themore » propose new methodology CGC-2SPR showed significant performance improvement in terms of accuracy over other widely used GC modeling (PGC, Ridge and Lasso) and MI-based (MRNET and ARACNE) methods. In addition, we applied CGC-2SPR to a real biological dataset, i.e., the yeast metabolic cycle, and discovered more true positive edges with CGC-2SPR than with the other existing methods. In our research, we noticed a “ 1+1>2” effect when we combined prior knowledge and gene expression data to discover regulatory networks. Based on causality networks, we made a functional prediction that the Abm1 gene (its functions previously were unknown) might be related to the yeast’s responses to different levels of glucose. In conclusion, our research improves causality modeling by combining heterogeneous knowledge, which is well aligned with the future direction in system biology. Furthermore, we proposed a method of Monte Carlo significance estimation (MCSE) to calculate the edge significances which provide statistical meanings to the discovered causality networks. All of our data and source codes will be available under the link https://bitbucket.org/dtyu/granger-causality/wiki/Home.« less

  9. The Effect of Prior Knowledge and Gender on Physics Achievement

    NASA Astrophysics Data System (ADS)

    Stewart, John; Henderson, Rachel

    2017-01-01

    Gender differences on the Conceptual Survey in Electricity and Magnetism (CSEM) have been extensively studied. Ten semesters (N=1621) of CSEM data is presented showing male students outperform female students on the CSEM posttest by 5 % (p < . 001). Male students also outperform female students on qualitative in-semester test questions by 3 % (p = . 004), but no significant difference between male and female students was found on quantitative test questions. Male students enter the class with superior prior preparation in the subject and score 4 % higher on the CSEM pretest (p < . 001). If the sample is restricted to students with little prior knowledge who answer no more than 8 of the 32 questions correctly (N=822), male and female differences on the CSEM and qualitative test questions cease to be significant. This suggests no intrinsic gender bias exists in the CSEM itself and that gender differences are the result of prior preparation measured by CSEM pretest score. Gender differences between male and female students increase with pretest score. Regression analyses are presented to further explore interactions between preparation, gender, and achievement.

  10. Preparation for College General Chemistry: More than Just a Matter of Content Knowledge Acquisition

    ERIC Educational Resources Information Center

    Cracolice, Mark S.; Busby, Brittany D.

    2015-01-01

    This study investigates the potential of five factors that may be predictive of success in college general chemistry courses: prior knowledge of common alternate conceptions, intelligence, scientific reasoning ability, proportional reasoning ability, and attitude toward chemistry. We found that both prior knowledge and scientific reasoning ability…

  11. Can Prior Knowledge Hurt Text Comprehension? An Answer Borrowed from Plato, Aristotle, and Descartes.

    ERIC Educational Resources Information Center

    Friedman, Lawrence B.

    Taking a philosophical approach based on what Plato, Aristotle, and Descartes said about knowledge, this paper addresses some of the murkiness in the conceptual space surrounding the issue of whether prior knowledge does or does not facilitate text comprehension. Specifically, the paper first develops a non-exhaustive typology of cases in which…

  12. The Impact of Prior Programming Knowledge on Lecture Attendance and Final Exam

    ERIC Educational Resources Information Center

    Veerasamy, Ashok Kumar; D'Souza, Daryl; Lindén, Rolf; Laakso, Mikko-Jussi

    2018-01-01

    In this article, we report the results of the impact of prior programming knowledge (PPK) on lecture attendance (LA) and on subsequent final programming exam performance in a university level introductory programming course. This study used Spearman's rank correlation coefficient, multiple regression, Kruskal-Wallis, and Bonferroni correction…

  13. Effects of Prior Knowledge in Mathematics on Learner-Interface Interactions in a Learning-by-Teaching Intelligent Tutoring System

    ERIC Educational Resources Information Center

    Bringula, Rex P.; Basa, Roselle S.; Dela Cruz, Cecilio; Rodrigo, Ma. Mercedes T.

    2016-01-01

    This study attempted to determine the influence of prior knowledge in mathematics of students on learner-interface interactions in a learning-by-teaching intelligent tutoring system. One hundred thirty-nine high school students answered a pretest (i.e., the prior knowledge in mathematics) and a posttest. In between the pretest and posttest, they…

  14. Prior Knowledge Assessment Guide

    DTIC Science & Technology

    2014-12-01

    marksmanship, advanced rifle marksmanship, and even specialized shooting courses. A comparison of the means on the test for the two groups showed that the...hands- on evaluations of student knowledge and/or skills. Pretests however, determine how much knowledge a student currently possesses of the course...content; thus, questions on pretests assess knowledge about what is to be taught in the course. Also, most pretests will include test items

  15. The Influence of Prior Knowledge and Viewing Repertoire on Learning from Video

    ERIC Educational Resources Information Center

    de Boer, Jelle; Kommers, Piet A. M.; de Brock, Bert; Tolboom, Jos

    2016-01-01

    Video is increasingly used as an instructional tool. It is therefore becoming more important to improve learning of students from video. We investigated whether student learning effects are influenced through an instruction about other viewing behaviours, and whether these learning effects depend on their prior knowledge. In a controlled…

  16. Bayesian network prior: network analysis of biological data using external knowledge

    PubMed Central

    Isci, Senol; Dogan, Haluk; Ozturk, Cengizhan; Otu, Hasan H.

    2014-01-01

    Motivation: Reverse engineering GI networks from experimental data is a challenging task due to the complex nature of the networks and the noise inherent in the data. One way to overcome these hurdles would be incorporating the vast amounts of external biological knowledge when building interaction networks. We propose a framework where GI networks are learned from experimental data using Bayesian networks (BNs) and the incorporation of external knowledge is also done via a BN that we call Bayesian Network Prior (BNP). BNP depicts the relation between various evidence types that contribute to the event ‘gene interaction’ and is used to calculate the probability of a candidate graph (G) in the structure learning process. Results: Our simulation results on synthetic, simulated and real biological data show that the proposed approach can identify the underlying interaction network with high accuracy even when the prior information is distorted and outperforms existing methods. Availability: Accompanying BNP software package is freely available for academic use at http://bioe.bilgi.edu.tr/BNP. Contact: hasan.otu@bilgi.edu.tr Supplementary Information: Supplementary data are available at Bioinformatics online. PMID:24215027

  17. Prior Knowledge and Online Inquiry-Based Science Reading: Evidence from Eye Tracking

    ERIC Educational Resources Information Center

    Ho, Hsin Ning Jessie; Tsai, Meng-Jung; Wang, Ching-Yeh; Tsai, Chin-Chung

    2014-01-01

    This study employed eye-tracking technology to examine how students with different levels of prior knowledge process text and data diagrams when reading a web-based scientific report. Students' visual behaviors were tracked and recorded when they read a report demonstrating the relationship between the greenhouse effect and global climate…

  18. Making Connections in Math: Activating a Prior Knowledge Analogue Matters for Learning

    ERIC Educational Resources Information Center

    Sidney, Pooja G.; Alibali, Martha W.

    2015-01-01

    This study investigated analogical transfer of conceptual structure from a prior-knowledge domain to support learning in a new domain of mathematics: division by fractions. Before a procedural lesson on division by fractions, fifth and sixth graders practiced with a surface analogue (other operations on fractions) or a structural analogue (whole…

  19. Feedback Both Helps and Hinders Learning: The Causal Role of Prior Knowledge

    ERIC Educational Resources Information Center

    Fyfe, Emily R.; Rittle-Johnson, Bethany

    2016-01-01

    Feedback can be a powerful learning tool, but its effects vary widely. Research has suggested that learners' prior knowledge may moderate the effects of feedback; however, no causal link has been established. In Experiment 1, we randomly assigned elementary school children (N = 108) to a condition based on a crossing of 2 factors: induced strategy…

  20. Chinese EFL teachers' knowledge of basic language constructs and their self-perceived teaching abilities.

    PubMed

    Zhao, Jing; Joshi, R Malatesha; Dixon, L Quentin; Huang, Liyan

    2016-04-01

    The present study examined the knowledge and skills of basic language constructs among elementary school teachers who were teaching English as a Foreign Language (EFL) in China. Six hundred and thirty in-service teachers completed the adapted Reading Teacher Knowledge Survey. Survey results showed that English teachers' self-perceived ability to teach vocabulary was the highest and self-perceived ability to teach reading to struggling readers was the lowest. Morphological knowledge was positively correlated with teachers' self-perceived teaching abilities, and it contributed unique variance even after controlling for the effects of ultimate educational attainment and years of teaching. Findings suggest that elementary school EFL teachers in China, on average, were able to display implicit skills related to certain basic language constructs, but less able to demonstrate explicit knowledge of other skills, especially sub-lexical units (e.g., phonemic awareness and morphemes). The high self-perceived ability of teaching vocabulary and high scores on syllable counting reflected the focus on larger units in the English reading curriculum.

  1. The locus of adult intelligence: knowledge, abilities, and nonability traits.

    PubMed

    Ackerman, P L; Rolfhus, E L

    1999-06-01

    Some intelligence theorists (e.g., R. B. Cattell, 1943; D. O. Hebb, 1942) have suggested that knowledge is one aspect of human intelligence that is well preserved or increases during adult development. Very little is known about knowledge structures across different domains or about how individual differences in knowledge relate to other traits. Twenty academic and technology-oriented tests were administered to 135 middle-aged adults. In comparison with younger college students, the middle-aged adults knew more about nearly all of the various knowledge domains. Knowledge was partly predicted by general intelligence, by crystallized abilities, and by personality, interest, and self-concept. Implications of this work are discussed in the context of a developmental theory that focuses on the acquisition and maintenance of intelligence-as-knowledge, as well as the role of knowledge for predicting the vocational and avocational task performance of adults.

  2. A Bayesian framework for extracting human gait using strong prior knowledge.

    PubMed

    Zhou, Ziheng; Prügel-Bennett, Adam; Damper, Robert I

    2006-11-01

    Extracting full-body motion of walking people from monocular video sequences in complex, real-world environments is an important and difficult problem, going beyond simple tracking, whose satisfactory solution demands an appropriate balance between use of prior knowledge and learning from data. We propose a consistent Bayesian framework for introducing strong prior knowledge into a system for extracting human gait. In this work, the strong prior is built from a simple articulated model having both time-invariant (static) and time-variant (dynamic) parameters. The model is easily modified to cater to situations such as walkers wearing clothing that obscures the limbs. The statistics of the parameters are learned from high-quality (indoor laboratory) data and the Bayesian framework then allows us to "bootstrap" to accurate gait extraction on the noisy images typical of cluttered, outdoor scenes. To achieve automatic fitting, we use a hidden Markov model to detect the phases of images in a walking cycle. We demonstrate our approach on silhouettes extracted from fronto-parallel ("sideways on") sequences of walkers under both high-quality indoor and noisy outdoor conditions. As well as high-quality data with synthetic noise and occlusions added, we also test walkers with rucksacks, skirts, and trench coats. Results are quantified in terms of chamfer distance and average pixel error between automatically extracted body points and corresponding hand-labeled points. No one part of the system is novel in itself, but the overall framework makes it feasible to extract gait from very much poorer quality image sequences than hitherto. This is confirmed by comparing person identification by gait using our method and a well-established baseline recognition algorithm.

  3. Interplay of Prior Knowledge, Self-Regulation and Motivation in Complex Multimedia Learning Environments

    ERIC Educational Resources Information Center

    Song, H. S.; Kalet, A. L.; Plass, J. L.

    2016-01-01

    This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self-regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed…

  4. An Analysis of Content Knowledge and Cognitive Abilities as Factors That Are Associated with Algebra Performance

    ERIC Educational Resources Information Center

    McLean, Tamika Ann

    2017-01-01

    The current study investigated college students' content knowledge and cognitive abilities as factors associated with their algebra performance, and examined how combinations of content knowledge and cognitive abilities related to their algebra performance. Specifically, the investigation examined the content knowledge factors of computational…

  5. Knowledge and luck.

    PubMed

    Turri, John; Buckwalter, Wesley; Blouw, Peter

    2015-04-01

    Nearly all success is due to some mix of ability and luck. But some successes we attribute to the agent's ability, whereas others we attribute to luck. To better understand the criteria distinguishing credit from luck, we conducted a series of four studies on knowledge attributions. Knowledge is an achievement that involves reaching the truth. But many factors affecting the truth are beyond our control, and reaching the truth is often partly due to luck. Which sorts of luck are compatible with knowledge? We found that knowledge attributions are highly sensitive to lucky events that change the explanation for why a belief is true. By contrast, knowledge attributions are surprisingly insensitive to lucky events that threaten, but ultimately fail to change the explanation for why a belief is true. These results shed light on our concept of knowledge, help explain apparent inconsistencies in prior work on knowledge attributions, and constitute progress toward a general understanding of the relation between success and luck.

  6. 76 FR 73720 - Knowledge and Abilities Catalog for Nuclear Power Plant Operators: Westinghouse AP1000...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-29

    ... NUCLEAR REGULATORY COMMISSION [NRC-2011-0272] Knowledge and Abilities Catalog for Nuclear Power...) is issuing for public comment a draft NUREG, NUREG-2103, Revision 0, ``Knowledge and Abilities Catalog for Nuclear Power Plant Operators: Westinghouse AP1000 Pressurized-Water Reactors. DATES: Submit...

  7. Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data

    PubMed Central

    2014-01-01

    Background High-throughput omics technologies have enabled the measurement of many genes or metabolites simultaneously. The resulting high dimensional experimental data poses significant challenges to transcriptomics and metabolomics data analysis methods, which may lead to spurious instead of biologically relevant results. One strategy to improve the results is the incorporation of prior biological knowledge in the analysis. This strategy is used to reduce the solution space and/or to focus the analysis on biological meaningful regions. In this article, we review a selection of these methods used in transcriptomics and metabolomics. We combine the reviewed methods in three groups based on the underlying mathematical model: exploratory methods, supervised methods and estimation of the covariance matrix. We discuss which prior knowledge has been used, how it is incorporated and how it modifies the mathematical properties of the underlying methods. PMID:25033193

  8. Is an Illustration Always Worth Ten Thousand Words? Effects of Prior Knowledge, Learning Style and Multimedia Illustrations on Text Comprehension.

    ERIC Educational Resources Information Center

    Ollerenshaw, Alison; Aidman, Eugene; Kidd, Garry

    1997-01-01

    This study examined comprehension in four groups of undergraduates under text only, multimedia, and two diagram conditions of text supplementation. Results indicated that effects of text supplementation are mediated by prior knowledge and learning style: multimedia appears more beneficial to surface learners with little prior knowledge and makes…

  9. The Influence of Prior Knowledge on Perception and Action: Relationships to Autistic Traits

    ERIC Educational Resources Information Center

    Buckingham, Gavin; Michelakakis, Elizabeth Evgenia; Rajendran, Gnanathusharan

    2016-01-01

    Autism is characterised by a range of perceptual and sensorimotor deficits, which might be related to abnormalities in how autistic individuals use prior knowledge. We investigated this proposition in a large non-clinical population in the context of the size-weight illusion, where individual's expectations about object weight influence their…

  10. Building dynamical models from data and prior knowledge: the case of the first period-doubling bifurcation.

    PubMed

    Aguirre, Luis Antonio; Furtado, Edgar Campos

    2007-10-01

    This paper reviews some aspects of nonlinear model building from data with (gray box) and without (black box) prior knowledge. The model class is very important because it determines two aspects of the final model, namely (i) the type of nonlinearity that can be accurately approximated and (ii) the type of prior knowledge that can be taken into account. Such features are usually in conflict when it comes to choosing the model class. The problem of model structure selection is also reviewed. It is argued that such a problem is philosophically different depending on the model class and it is suggested that the choice of model class should be performed based on the type of a priori available. A procedure is proposed to build polynomial models from data on a Poincaré section and prior knowledge about the first period-doubling bifurcation, for which the normal form is also polynomial. The final models approximate dynamical data in a least-squares sense and, by design, present the first period-doubling bifurcation at a specified value of parameters. The procedure is illustrated by means of simulated examples.

  11. Thai University Students' Prior Knowledge about P-Waves Generated during Particle Motion

    ERIC Educational Resources Information Center

    Rakkapao, Suttida; Arayathanikul, Kwan; Pananont, Passakorn

    2009-01-01

    The goal of this study is to identify Thai students' prior knowledge about particle motion when P-waves arrive. This existing idea significantly influences what and how students learn in the classroom. The data were collected via conceptual open-ended questions designed by the researchers and through explanatory follow-up interviews. Participants…

  12. Does Teaching Experience Matter? Examining Biology Teachers' Prior Knowledge for Teaching in an Alternative Certification Program

    ERIC Educational Resources Information Center

    Friedrichsen, Patricia J.; Abell, Sandra K.; Pareja, Enrique M.; Brown, Patrick L.; Lankford, Deanna M.; Volkmann, Mark J.

    2009-01-01

    Alternative certification programs (ACPs) have been proposed as a viable way to address teacher shortages, yet we know little about how teacher knowledge develops within such programs. The purpose of this study was to investigate prior knowledge for teaching among students entering an ACP, comparing individuals with teaching experience to those…

  13. Experimentally superposing two pure states with partial prior knowledge

    NASA Astrophysics Data System (ADS)

    Li, Keren; Long, Guofei; Katiyar, Hemant; Xin, Tao; Feng, Guanru; Lu, Dawei; Laflamme, Raymond

    2017-02-01

    Superposition, arguably the most fundamental property of quantum mechanics, lies at the heart of quantum information science. However, how to create the superposition of any two unknown pure states remains as a daunting challenge. Recently, it was proved that such a quantum protocol does not exist if the two input states are completely unknown, whereas a probabilistic protocol is still available with some prior knowledge about the input states [M. Oszmaniec et al., Phys. Rev. Lett. 116, 110403 (2016), 10.1103/PhysRevLett.116.110403]. The knowledge is that both of the two input states have nonzero overlaps with some given referential state. In this work, we experimentally realize the probabilistic protocol of superposing two pure states in a three-qubit nuclear magnetic resonance system. We demonstrate the feasibility of the protocol by preparing a families of input states, and the average fidelity between the prepared state and expected superposition state is over 99%. Moreover, we experimentally illustrate the limitation of the protocol that it is likely to fail or yields very low fidelity, if the nonzero overlaps are approaching zero. Our experimental implementation can be extended to more complex situations and other quantum systems.

  14. Effects of Example Variability and Prior Knowledge in How Students Learn to Solve Equations

    ERIC Educational Resources Information Center

    Guo, Jian-Peng; Yang, Ling-Yan; Ding, Yi

    2014-01-01

    Researchers have consistently demonstrated that multiple examples are better than one example in facilitating learning because the comparison evoked by multiple examples supports learning and transfer. However, research outcomes are unclear regarding the effects of example variability and prior knowledge on learning from comparing multiple…

  15. Breastfeeding knowledge, attitudes, prior exposure, and intent among undergraduate students.

    PubMed

    Kavanagh, Katherine F; Lou, Zixin; Nicklas, Jennifer C; Habibi, Mona F; Murphy, Lee T

    2012-11-01

    Understanding breastfeeding knowledge, attitudes, and exposures among nonpregnant youth who are likely to be future parents may provide significant pathways to successfully increasing breastfeeding as the normal, accepted way of feeding infants. However, based on a recent review of the literature, only 3 studies have assessed these factors in nonpregnant, young adults in the United States in the past 10 years. The objective of this study was to gather more recent data regarding breastfeeding knowledge, attitudes, and prior exposure among undergraduate university students. This was a cross-sectional survey, conducted in November 2010. A convenience sample, consisting of undergraduates in attendance in 2 sections of an introductory nutrition class at a large research university, was used for this project (N = 248). Breastfeeding knowledge was relatively good. However, overall breastfeeding attitudes were more neutral, which appeared to be explained by the belief that breastfeeding is painful, restrictive, and inconvenient, both in general and specifically for the working mother. Though support for breastfeeding in public was low, men were significantly less likely than women to believe it to be embarrassing or unacceptable. In addition, breastfeeding attitudes were more positive among older students and those who were breastfed as infants. Those who were breastfed as infants were also significantly more likely to intend to breastfeed future children. Though this sample indicates good breastfeeding knowledge, attitudes were more neutral, and support for breastfeeding in public appears low. This finding is contradictory and warrants further exploration.

  16. Students' Ability to Solve Process-Diagram Problems in Secondary Biology Education

    ERIC Educational Resources Information Center

    Kragten, Marco; Admiraal, Wilfried; Rijlaarsdam, Gert

    2015-01-01

    Process diagrams are important tools in biology for explaining processes such as protein synthesis, compound cycles and the like. The aim of the present study was to measure the ability to solve process-diagram problems in biology and its relationship with prior knowledge, spatial ability and working memory. For this purpose, we developed a test…

  17. Leveraging prior quantitative knowledge in guiding pediatric drug development: a case study.

    PubMed

    Jadhav, Pravin R; Zhang, Jialu; Gobburu, Jogarao V S

    2009-01-01

    The manuscript presents the FDA's focus on leveraging prior knowledge in designing informative pediatric trial through this case study. In developing written request for Drug X, an anti-hypertensive for immediate blood pressure (BP) control, the sponsor and FDA conducted clinical trial simulations (CTS) to design trial with proper sample size and support the choice of dose range. The objective was to effectively use prior knowledge from adult patients for drug X, pediatric data from Corlopam (approved for a similar indication) trial and general experience in developing anti-hypertensive agents. Different scenarios governing the exposure response relationship in the pediatric population were simulated to perturb model assumptions. The choice of scenarios was based on the past observation that pediatric population is less responsive and sensitive compared with adults. The conceptual framework presented here should serve as an example on how the industry and FDA scientists can collaborate in designing the pediatric exclusivity trial. Using CTS, inter-disciplinary scientists with the sponsor and FDA can objectively discuss the choice of dose range, sample size, endpoints and other design elements. These efforts are believed to yield plausible trial design, qrational dosing recommendations and useful labeling information in pediatrics. Published in 2009 by John Wiley & Sons, Ltd.

  18. Relationship of Prior Knowledge and Working Engineers' Learning Preferences: Implications for Designing Effective Instruction

    ERIC Educational Resources Information Center

    Baukal, Charles E.; Ausburn, Lynna J.

    2017-01-01

    Continuing engineering education (CEE) is important to ensure engineers maintain proficiency over the life of their careers. However, relatively few studies have examined designing effective training for working engineers. Research has indicated that both learner instructional preferences and prior knowledge can impact the learning process, but it…

  19. Integration of prior knowledge into dense image matching for video surveillance

    NASA Astrophysics Data System (ADS)

    Menze, M.; Heipke, C.

    2014-08-01

    Three-dimensional information from dense image matching is a valuable input for a broad range of vision applications. While reliable approaches exist for dedicated stereo setups they do not easily generalize to more challenging camera configurations. In the context of video surveillance the typically large spatial extent of the region of interest and repetitive structures in the scene render the application of dense image matching a challenging task. In this paper we present an approach that derives strong prior knowledge from a planar approximation of the scene. This information is integrated into a graph-cut based image matching framework that treats the assignment of optimal disparity values as a labelling task. Introducing the planar prior heavily reduces ambiguities together with the search space and increases computational efficiency. The results provide a proof of concept of the proposed approach. It allows the reconstruction of dense point clouds in more general surveillance camera setups with wider stereo baselines.

  20. The Effect of Verbal and Visuo-Spatial Abilities on the Development of Knowledge of the Earth

    NASA Astrophysics Data System (ADS)

    Kikas, Eve

    2006-09-01

    Difficulties in students’ understanding of the spherical model of the Earth have been shown in previous studies. One of the reasons for these difficulties lies in beliefs and preliminary knowledge that hinder the interpretation of the scientific knowledge, the other reason may lie in the low level of verbal and visuo-spatial abilities. The study aims to investigate the effect of verbal and visuo-spatial abilities, but also that of preliminary knowledge on the later development of the knowledge of the Earth in school. 176 schoolchildren (96 boys and 80 girls) from five schools were tested; the mean age of the children during the first interview was seven years and eight months. All students were interviewed twice in grades 1 and 2, before and after they had learnt the topic in school. Factual, scientific and synthetic knowledge was assessed. The facilitative effect of visuo-spatial and verbal abilities and preliminary factual and scientific knowledge on students’ knowledge of astronomy after having learnt the topic in school was shown. In contrast, the hindering effect of synthetic knowledge was not found.

  1. 77 FR 3009 - Knowledge and Abilities Catalog for Nuclear Power Plant Operators: Advanced Boiling Water Reactors

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-01-20

    ... NUCLEAR REGULATORY COMMISSION [NRC-2012-0010] Knowledge and Abilities Catalog for Nuclear Power... comment a draft NUREG, NUREG-2104, Revision 0, ``Knowledge and Abilities Catalog for Nuclear Power Plant... developed using this Catalog along with the Operator Licensing Examination Standards for Power Reactors...

  2. Levels of line graph question interpretation with intermediate elementary students of varying scientific and mathematical knowledge and ability: A think aloud study

    NASA Astrophysics Data System (ADS)

    Keller, Stacy Kathryn

    This study examined how intermediate elementary students' mathematics and science background knowledge affected their interpretation of line graphs and how their interpretations were affected by graph question levels. A purposive sample of 14 6th-grade students engaged in think aloud interviews (Ericsson & Simon, 1993) while completing an excerpted Test of Graphing in Science (TOGS) (McKenzie & Padilla, 1986). Hand gestures were video recorded. Student performance on the TOGS was assessed using an assessment rubric created from previously cited factors affecting students' graphing ability. Factors were categorized using Bertin's (1983) three graph question levels. The assessment rubric was validated by Padilla and a veteran mathematics and science teacher. Observational notes were also collected. Data were analyzed using Roth and Bowen's semiotic process of reading graphs (2001). Key findings from this analysis included differences in the use of heuristics, self-generated questions, science knowledge, and self-motivation. Students with higher prior achievement used a greater number and variety of heuristics and more often chose appropriate heuristics. They also monitored their understanding of the question and the adequacy of their strategy and answer by asking themselves questions. Most used their science knowledge spontaneously to check their understanding of the question and the adequacy of their answers. Students with lower and moderate prior achievement favored one heuristic even when it was not useful for answering the question and rarely asked their own questions. In some cases, if students with lower prior achievement had thought about their answers in the context of their science knowledge, they would have been able to recognize their errors. One student with lower prior achievement motivated herself when she thought the questions were too difficult. In addition, students answered the TOGS in one of three ways: as if they were mathematics word problems

  3. Language and reading instruction in early years' classrooms: the knowledge and self-rated ability of Australian teachers.

    PubMed

    Stark, Hannah L; Snow, Pamela C; Eadie, Patricia A; Goldfeld, Sharon R

    2016-04-01

    This study sought to investigate the level of knowledge of language constructs in a cohort of Australian teachers and to examine their self-rated ability and confidence in that knowledge. Seventy-eight teachers from schools across the Australian state of Victoria completed a questionnaire which included items from existing measures, as well as newly developed items. Consistent with a number of earlier Australian and international studies, teachers' explicit and implicit knowledge of basic linguistic constructs was limited and highly variable. A statistically significant correlation was found between (1) total self-rated ability and (2) years since qualification and experience teaching the early years of primary school; however, no relationship was found between self-rated ability and overall performance on knowledge items. Self-rated ability to teach phonemic awareness and phonics had no relationship with demonstrated knowledge in these areas. Teachers were most likely to rate their ability to teach skills including spelling, phonics, comprehension or vocabulary as either moderate or very good. This was despite most respondents demonstrating limited knowledge and stating that they did not feel confident answering questions about their knowledge in these areas. The findings from this study confirm that in the field of language and literacy instruction, there is a gap between the knowledge that is theoretically requisite, and therefore expected, and the actual knowledge of many teachers. This finding challenges current pre-service teacher education and in-service professional learning.

  4. Mathematical learning models that depend on prior knowledge and instructional strategies

    NASA Astrophysics Data System (ADS)

    Pritchard, David E.; Lee, Young-Jin; Bao, Lei

    2008-06-01

    We present mathematical learning models—predictions of student’s knowledge vs amount of instruction—that are based on assumptions motivated by various theories of learning: tabula rasa, constructivist, and tutoring. These models predict the improvement (on the post-test) as a function of the pretest score due to intervening instruction and also depend on the type of instruction. We introduce a connectedness model whose connectedness parameter measures the degree to which the rate of learning is proportional to prior knowledge. Over a wide range of pretest scores on standard tests of introductory physics concepts, it fits high-quality data nearly within error. We suggest that data from MIT have low connectedness (indicating memory-based learning) because the test used the same context and representation as the instruction and that more connected data from the University of Minnesota resulted from instruction in a different representation from the test.

  5. The Influence of Prior Knowledge, Peer Review, Age, and Gender in Online Philosophy Discussions

    ERIC Educational Resources Information Center

    Cuddy, Lucas Stebbins

    2016-01-01

    Using a primarily experimental design, this study investigated whether discussion boards in online community college philosophy classes can be designed in the Blackboard course management system to lead to higher order thinking. Discussions were designed using one of two teaching techniques: the activation of prior knowledge or the use of peer…

  6. The ability to understand and use conceptual change pedagogy as a function of prior content learning experience

    NASA Astrophysics Data System (ADS)

    Stofflett, René T.; Stoddart, Trish

    This research examined the relationship between content instruction and the development of elementary teacher candidates' understanding of conceptual change pedagogy. Undergraduate students (n = 27) enrolled in two sections of a science methods course received content instruction through either traditional or conceptual change methods, followed by instruction about conceptual change pedagogy. Candidates were interviewed pre- and postinstruction about their content and pedagogical knowledge and also wrote conceptual change lessons. Twelve of the 27 subjects were videotaped teaching in the field. Results indicate that prior to instruction, most candidates had weak content knowledge and held traditional pedagogical conceptions. After instruction, students in the conceptual change group had significantly larger gains in their content knowledge than those in the traditional group, gave qualitatively stronger pedagogical responses, and used conceptual change strategies more consistently in practice. These results indicate that personal experience of learning science content through conceptual change methods facilitated the development of understanding and use of conceptual change pedagogy in teaching practice. Thus if conceptual change methods are to be incorporated into teacher candidates' repertoire, science content courses that students take prior to teacher education should be taught using conceptual change pedagogy. In addition, courses in science education should use pedagogy more in line with that taught in methods courses.

  7. Pathways to fraction learning: Numerical abilities mediate the relation between early cognitive competencies and later fraction knowledge.

    PubMed

    Ye, Ai; Resnick, Ilyse; Hansen, Nicole; Rodrigues, Jessica; Rinne, Luke; Jordan, Nancy C

    2016-12-01

    The current study investigated the mediating role of number-related skills in the developmental relationship between early cognitive competencies and later fraction knowledge using structural equation modeling. Fifth-grade numerical skills (i.e., whole number line estimation, non-symbolic proportional reasoning, multiplication, and long division skills) mapped onto two distinct factors: magnitude reasoning and calculation. Controlling for participants' (N=536) demographic characteristics, these two factors fully mediated relationships between third-grade general cognitive competencies (attentive behavior, verbal and nonverbal intellectual abilities, and working memory) and sixth-grade fraction knowledge (concepts and procedures combined). However, specific developmental pathways differed by type of fraction knowledge. Magnitude reasoning ability fully mediated paths from all four cognitive competencies to knowledge of fraction concepts, whereas calculation ability fully mediated paths from attentive behavior and verbal ability to knowledge of fraction procedures (all with medium to large effect sizes). These findings suggest that there are partly overlapping, yet distinct, developmental pathways from cognitive competencies to general fraction knowledge, fraction concepts, and fraction procedures. Copyright © 2016 Elsevier Inc. All rights reserved.

  8. The Instructional Effectiveness of Animated Signaling among Learners with High and Low Prior Knowledge

    ERIC Educational Resources Information Center

    Li, Shanshan

    2012-01-01

    The purpose of this study was to investigate the instructional effectiveness of animated signals among learners with high and low prior knowledge. Each of the two treatments was presented with animated instruction either with signals or without signals on the content of how an airplane achieves lift. Subjects were eighty-seven undergraduate…

  9. The Interpretation of Cellular Transport Graphics by Students with Low and High Prior Knowledge

    ERIC Educational Resources Information Center

    Cook, Michelle; Carter, Glenda; Wiebe, Eric N.

    2008-01-01

    The purpose of this study was to examine how prior knowledge of cellular transport influenced how high school students in the USA viewed and interpreted graphic representations of this topic. The participants were Advanced Placement Biology students (n = 65); each participant had previously taken a biology course in high school. After assessing…

  10. Correlation between performance in physics and prior mathematics knowledge

    NASA Astrophysics Data System (ADS)

    Hudson, H. T.; Rottmann, Ray M.

    The final grade of 1403 students enrolled in the first semester of the introductory, pre-professional physics course has been correlated with performance on a precourse diagnostic test of mathematical skills. The students were from a total of eight different sections taught by six separate instructors over a three year time span. The student population has been separated into two groups, those who completed the course (913 students) and those who dropped (490 students). The drops were assigned a projected final gradebased on performance up to date of withdrawal. The Pearson product-moment correlation for students who completed the course is 0.418 and correlation for the drops is 0.232. Both correlations are significant at the p < 0.001 level. This study suggests that prior mathematical ability is a primary influence on performance in the course, and has a secondary influence on the tendency to drop out of the course.

  11. Relationship of Students' Prior Knowledge and Order of Questions on Tests to Students' Test Scores.

    ERIC Educational Resources Information Center

    Papp, Klara K.; And Others

    1987-01-01

    A study examined whether students beginning a cell biology course with prior knowledge of its three areas (genetics, histology, and biochemistry) would retain that advantage throughout the course and whether achievement was influenced by the order of questions in a test. (MSE)

  12. Selective influence of prior allocentric knowledge on the kinesthetic learning of a path.

    PubMed

    Lafon, Matthieu; Vidal, Manuel; Berthoz, Alain

    2009-04-01

    Spatial cognition studies have described two main cognitive strategies involved in the memorization of traveled paths in human navigation. One of these strategies uses the action-based memory (egocentric) of the traveled route or paths, which involves kinesthetic memory, optic flow, and episodic memory, whereas the other strategy privileges a survey memory of cartographic type (allocentric). Most studies have dealt with these two strategies separately, but none has tried to show the interaction between them in spite of the fact that we commonly use a map to imagine our journey and then proceed using egocentric navigation. An interesting question is therefore: how does prior allocentric knowledge of the environment affect the egocentric, purely kinesthetic navigation processes involved in human navigation? We designed an experiment in which blindfolded subjects had first to walk and memorize a path with kinesthetic cues only. They had previously been shown a map of the path, which was either correct or distorted (consistent shrinking or growing). The latter transformations were studied in order to observe what influence a distorted prior knowledge could have on spatial mechanisms. After having completed the first learning travel along the path, they had to perform several spatial tasks during the testing phase: (1) pointing towards the origin and (2) to specific points encountered along the path, (3) a free locomotor reproduction, and (4) a drawing of the memorized path. The results showed that prior cartographic knowledge influences the paths drawn and the spatial inference capacity, whereas neither locomotor reproduction nor spatial updating was disturbed. Our results strongly support the notion that (1) there are two independent neural bases underlying these mechanisms: a map-like representation allowing allocentric spatial inferences, and a kinesthetic memory of self-motion in space; and (2) a common use of, or a switching between, these two strategies is

  13. Exploring the Impact of Prior Knowledge and Appropriate Feedback on Students' Perceived Cognitive Load and Learning Outcomes: Animation-based earthquakes instruction

    NASA Astrophysics Data System (ADS)

    Yeh, Ting-Kuang; Tseng, Kuan-Yun; Cho, Chung-Wen; Barufaldi, James P.; Lin, Mei-Shin; Chang, Chun-Yen

    2012-07-01

    The aim of this study was to develop an animation-based curriculum and to evaluate the effectiveness of animation-based instruction; the report involved the assessment of prior knowledge and the appropriate feedback approach, for the purpose of reducing perceived cognitive load and improving learning. The curriculum was comprised of five subunits designed to teach the 'Principles of Earthquakes.' Each subunit consisted of three modules: evaluation of prior knowledge with/without in-time feedback; animation-based instruction; and evaluation of learning outcomes with feedback. The 153 participants consisted of 10th grade high-school students. Seventy-eight students participated in the animation-based instruction, involving assessment of prior knowledge and appropriate feedback mechanism (APA group). A total of 75 students participated in animation-based learning that did not take into account their prior knowledge (ANPA group). The effectiveness of the instruction was then evaluated by using a Science Conception Test (SCT), a self-rating cognitive load questionnaire (CLQ), as well as a structured interview. The results indicated that: (1) Students' perceived cognitive load was reduced effectively through improving their prior knowledge by providing appropriate feedback. (2) When students perceived lower levels of cognitive load, they showed better learning outcome. The result of this study revealed that students of the APA group showed better performance than those of the ANPA group in an open-ended question. Furthermore, students' perceived cognitive load was negatively associated with their learning outcomes.

  14. Evaluation of Pharmacy and Therapeutic (P&T) Committee member knowledge, attitudes and ability regarding the use of comparative effectiveness research (CER) in health care decision-making.

    PubMed

    Tang, D H; Warholak, T L; Hines, L E; Hurwitz, J; Brown, M; Taylor, A M; Brixner, D; Malone, D C

    2014-01-01

    Comparative effectiveness research (CER) is a constellation of research methods designed to improve health care decision making. Educational programs that improve health care decision makers' CER knowledge and awareness may ultimately lead to more cost-effective use of health care resources. This study was conducted to evaluate changes in CER knowledge, attitudes, and ability among Pharmacy and Therapeutics (P&T) Committee members and support staff after attending a tailored educational program. Physicians and pharmacists from two professional societies and the Indian Health Service who participated in the P&T process were invited via email to participate in this study. Participants completed a questionnaire, designed specifically for this study, prior to and following the 4-hour live, educational program on CER to determine the impact on their related knowledge, attitudes, and ability to use CER in decision-making. Rasch analysis was used to assess validity and reliability of subsections of the questionnaire and regression analysis was used to assess programmatic impact on CER knowledge, attitude, and ability. One hundred and forty of the 199 participants completed both the pre- and post-CER session questionnaires (response rate = 70.4%). Most participants (>75%) correctly answered eight of the ten knowledge items after attending the educational session. More than 60% of the respondents had a positive attitude toward CER both before and after the program. Compared to baseline (pretest), participants reported significant improvements in their perceived ability to use CER after attending the session in these areas: using CER reviews, knowledge of CER methods, identifying problems with randomized controlled trials, identifying threats to validity, understanding of evidence synthesis approaches, and evaluating the quality of CER (all P values < 0.001). The questionnaire demonstrated acceptable reliability and validity evidence (limited evidence of construct under

  15. Teachers' Beliefs about the Role of Prior Language Knowledge in Learning and How These Influence Teaching Practices

    ERIC Educational Resources Information Center

    De Angelis, Gessica

    2011-01-01

    The present study was developed to assess teachers' beliefs on (1) the role of prior language knowledge in language learning; (2) the perceived usefulness of language knowledge in modern society; and (3) the teaching practices to be used with multilingual students. Subjects were 176 secondary schoolteachers working in Italy (N = 103), Austria (N =…

  16. Effects of Prior Knowledge and Concept-Map Structure on Disorientation, Cognitive Load, and Learning

    ERIC Educational Resources Information Center

    Amadieu, Franck; van Gog, Tamara; Paas, Fred; Tricot, Andre; Marine, Claudette

    2009-01-01

    This study explored the effects of prior knowledge (high vs. low; HPK and LPK) and concept-map structure (hierarchical vs. network; HS and NS) on disorientation, cognitive load, and learning from non-linear documents on "the infection process of a retrograde virus (HIV)". Participants in the study were 24 adults. Overall subjective ratings of…

  17. Designing Knowledge Scaffolds to Support Mathematical Problem Solving

    ERIC Educational Resources Information Center

    Rittle-Johnson, Bethany; Koedinger, Kenneth R.

    2005-01-01

    We present a methodology for designing better learning environments. In Phase 1, 6th-grade students' (n = 223) prior knowledge was assessed using a difficulty factors assessment (DFA). The assessment revealed that scaffolds designed to elicit contextual, conceptual, or procedural knowledge each improved students' ability to add and subtract…

  18. Case-based reasoning for space applications: Utilization of prior experience in knowledge-based systems

    NASA Technical Reports Server (NTRS)

    King, James A.

    1987-01-01

    The goal is to explain Case-Based Reasoning as a vehicle to establish knowledge-based systems based on experimental reasoning for possible space applications. This goal will be accomplished through an examination of reasoning based on prior experience in a sample domain, and also through a presentation of proposed space applications which could utilize Case-Based Reasoning techniques.

  19. Teaching and preschoolers' ability to infer knowledge from mistakes.

    PubMed

    Ronfard, Samuel; Corriveau, Kathleen H

    2016-10-01

    For instruction to be effective, teachers must adjust the way they teach to match what learners know. We asked whether children's ability to infer what someone knows based on his or her mistakes develops alongside their teaching-children's use of more explicit teaching strategies and their ability to tailor how much information to provide in response to their pupils' mistakes. Preschoolers (N=48) were taught a simple game and were then introduced to four puppets: one puppet who played the game perfectly, two puppets who each made one mistake, and one puppet who made two mistakes. After watching each puppet play individually, children were asked to rate the puppet's understanding of the game and then were invited to teach the puppet. Children's ability to monitor the relative accuracy of the puppets-the ability to make nuanced judgments about what each puppet understood based on each puppet's unique mistakes-improved with age. Moreover, older children were more explicit and more precise teachers than younger children. They more often contrasted the learners' mistakes with what should be done and more often provided instructions that directly addressed the puppets' unique mistakes. Thus, between 3 and 5 years of age, developments in children's ability to infer knowledge from mistakes parallel developments both in the strategies children use to teach and in the amount of information they teach in response to mistakes. Copyright © 2016 Elsevier Inc. All rights reserved.

  20. Stochastic formulation of patient positioning using linac-mounted cone beam imaging with prior knowledge

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Hoegele, W.; Loeschel, R.; Dobler, B.

    2011-02-15

    Purpose: In this work, a novel stochastic framework for patient positioning based on linac-mounted CB projections is introduced. Based on this formulation, the most probable shifts and rotations of the patient are estimated, incorporating interfractional deformations of patient anatomy and other uncertainties associated with patient setup. Methods: The target position is assumed to be defined by and is stochastically determined from positions of various features such as anatomical landmarks or markers in CB projections, i.e., radiographs acquired with a CB-CT system. The patient positioning problem of finding the target location from CB projections is posed as an inverse problem withmore » prior knowledge and is solved using a Bayesian maximum a posteriori (MAP) approach. The prior knowledge is three-fold and includes the accuracy of an initial patient setup (such as in-room laser and skin marks), the plasticity of the body (relative shifts between target and features), and the feature detection error in CB projections (which may vary depending on specific detection algorithm and feature type). For this purpose, MAP estimators are derived and a procedure of using them in clinical practice is outlined. Furthermore, a rule of thumb is theoretically derived, relating basic parameters of the prior knowledge (initial setup accuracy, plasticity of the body, and number of features) and the parameters of CB data acquisition (number of projections and accuracy of feature detection) to the expected estimation accuracy. Results: MAP estimation can be applied to arbitrary features and detection algorithms. However, to experimentally demonstrate its applicability and to perform the validation of the algorithm, a water-equivalent, deformable phantom with features represented by six 1 mm chrome balls were utilized. These features were detected in the cone beam projections (XVI, Elekta Synergy) by a local threshold method for demonstration purposes only. The accuracy of

  1. Boolean network inference from time series data incorporating prior biological knowledge.

    PubMed

    Haider, Saad; Pal, Ranadip

    2012-01-01

    Numerous approaches exist for modeling of genetic regulatory networks (GRNs) but the low sampling rates often employed in biological studies prevents the inference of detailed models from experimental data. In this paper, we analyze the issues involved in estimating a model of a GRN from single cell line time series data with limited time points. We present an inference approach for a Boolean Network (BN) model of a GRN from limited transcriptomic or proteomic time series data based on prior biological knowledge of connectivity, constraints on attractor structure and robust design. We applied our inference approach to 6 time point transcriptomic data on Human Mammary Epithelial Cell line (HMEC) after application of Epidermal Growth Factor (EGF) and generated a BN with a plausible biological structure satisfying the data. We further defined and applied a similarity measure to compare synthetic BNs and BNs generated through the proposed approach constructed from transitions of various paths of the synthetic BNs. We have also compared the performance of our algorithm with two existing BN inference algorithms. Through theoretical analysis and simulations, we showed the rarity of arriving at a BN from limited time series data with plausible biological structure using random connectivity and absence of structure in data. The framework when applied to experimental data and data generated from synthetic BNs were able to estimate BNs with high similarity scores. Comparison with existing BN inference algorithms showed the better performance of our proposed algorithm for limited time series data. The proposed framework can also be applied to optimize the connectivity of a GRN from experimental data when the prior biological knowledge on regulators is limited or not unique.

  2. Learning gait of quadruped robot without prior knowledge of the environment

    NASA Astrophysics Data System (ADS)

    Xu, Tao; Chen, Qijun

    2012-09-01

    Walking is the basic skill of a legged robot, and one of the promising ways to improve the walking performance and its adaptation to environment changes is to let the robot learn its walking by itself. Currently, most of the walking learning methods are based on robot vision system or some external sensing equipment to estimate the walking performance of certain walking parameters, and therefore are usually only applicable under laboratory condition, where environment can be pre-defined. Inspired by the rhythmic swing movement during walking of legged animals and the behavior of their adjusting their walking gait on different walking surfaces, a concept of walking rhythmic pattern(WRP) is proposed to evaluate the walking specialty of legged robot, which is just based on the walking dynamics of the robot. Based on the onboard acceleration sensor data, a method to calculate WRP using power spectrum in frequency domain and diverse smooth filters is also presented. Since the evaluation of WRP is only based on the walking dynamics data of the robot's body, the proposed method doesn't require prior knowledge of environment and thus can be applied in unknown environment. A gait learning approach of legged robots based on WRP and evolution algorithm(EA) is introduced. By using the proposed approach, a quadruped robot can learn its locomotion by its onboard sensing in an unknown environment, where the robot has no prior knowledge about this place. The experimental result proves proportional relationship exits between WRP match score and walking performance of legged robot, which can be used to evaluate the walking performance in walking optimization under unknown environment.

  3. An Investigation of the Relationships between Prior Knowledge and Vocabulary Development with Culturally Diverse Students.

    ERIC Educational Resources Information Center

    Karbon, Jacqueline C.

    Using a semantic mapping technique for vocabulary instruction, a study explored how children of diverse groups bring different cultural backgrounds and prior knowledge to tasks involved in learning new words. The study was conducted in three sixth-grade classrooms--one containing rural Native American (especially Menominee) children, another…

  4. Stress affects the neural ensemble for integrating new information and prior knowledge.

    PubMed

    Vogel, Susanne; Kluen, Lisa Marieke; Fernández, Guillén; Schwabe, Lars

    2018-06-01

    Prior knowledge, represented as a schema, facilitates memory encoding. This schema-related learning is assumed to rely on the medial prefrontal cortex (mPFC) that rapidly integrates new information into the schema, whereas schema-incongruent or novel information is encoded by the hippocampus. Stress is a powerful modulator of prefrontal and hippocampal functioning and first studies suggest a stress-induced deficit of schema-related learning. However, the underlying neural mechanism is currently unknown. To investigate the neural basis of a stress-induced schema-related learning impairment, participants first acquired a schema. One day later, they underwent a stress induction or a control procedure before learning schema-related and novel information in the MRI scanner. In line with previous studies, learning schema-related compared to novel information activated the mPFC, angular gyrus, and precuneus. Stress, however, affected the neural ensemble activated during learning. Whereas the control group distinguished between sets of brain regions for related and novel information, stressed individuals engaged the hippocampus even when a relevant schema was present. Additionally, stressed participants displayed aberrant functional connectivity between brain regions involved in schema processing when encoding novel information. The failure to segregate functional connectivity patterns depending on the presence of prior knowledge was linked to impaired performance after stress. Our results show that stress affects the neural ensemble underlying the efficient use of schemas during learning. These findings may have relevant implications for clinical and educational settings. Copyright © 2018 Elsevier Inc. All rights reserved.

  5. Learners' strategies for reconstructing cognitive frameworks and navigating conceptual change from prior conception to consensual genetics knowledge

    NASA Astrophysics Data System (ADS)

    Parrott, Annette M.

    Problem. Science teachers are charged with preparing students to become scientifically literate individuals. Teachers are given curriculum that specifies the knowledge that students should come away with; however, they are not necessarily aware of the knowledge with which the student arrives or how best to help them navigate between the two knowledge states. Educators must be aware, not only of where their students are conceptually, but how their students move from their prior knowledge and naive theories, to scientifically acceptable theories. The understanding of how students navigate this course has the potential to revolutionize educational practices. Methods. This study explored how five 9th grade biology students reconstructed their cognitive frameworks and navigated conceptual change from prior conception to consensual genetics knowledge. The research questions investigated were: (1) how do students in the process of changing their naive science theories to accepted science theories describe their journey from prior knowledge to current conception, and (2) what are the methods that students utilize to bridge the gap between alternate and consensual science conceptions to effect conceptual change. Qualitative and quantitative methods were employed to gather and analyze the data. In depth, semi-structured interviews formed the primary data for probing the context and details of students' conceptual change experience. Primary interview data was coded by thematic analysis. Results and discussion. This study revealed information about students' perceived roles in learning, the role of articulation in the conceptual change process, and ways in which a community of learners aids conceptual change. It was ascertained that students see their role in learning primarily as repeating information until they could add that information to their knowledge. Students are more likely to consider challenges to their conceptual frameworks and be more motivated to become active

  6. Assessment of knowledge transfer in the context of biomechanics

    NASA Astrophysics Data System (ADS)

    Hutchison, Randolph E.

    The dynamic act of knowledge transfer, or the connection of a student's prior knowledge to features of a new problem, could be considered one of the primary goals of education. Yet studies highlight more instances of failure than success. This dissertation focuses on how knowledge transfer takes place during individual problem solving, in classroom settings and during group work. Through the lens of dynamic transfer, or how students connect prior knowledge to problem features, this qualitative study focuses on a methodology to assess transfer in the context of biomechanics. The first phase of this work investigates how a pedagogical technique based on situated cognition theory affects students' ability to transfer knowledge gained in a biomechanics class to later experiences both in and out of the classroom. A post-class focus group examined events the students remembered from the class, what they learned from them, and how they connected them to later relevant experiences inside and outside the classroom. These results were triangulated with conceptual gains evaluated through concept inventories and pre- and post- content tests. Based on these results, the next two phases of the project take a more in-depth look at dynamic knowledge transfer during independent problem-solving and group project interactions, respectively. By categorizing prior knowledge (Source Tools), problem features (Target Tools) and the connections between them, results from the second phase of this study showed that within individual problem solving, source tools were almost exclusively derived from "propagated sources," i.e. those based on an authoritative source. This differs from findings in the third phase of the project, in which a mixture of "propagated" sources and "fabricated" sources, i.e. those based on student experiences, were identified within the group project work. This methodology is effective at assessing knowledge transfer in the context of biomechanics through evidence of

  7. Creating Illusions of Knowledge: Learning Errors that Contradict Prior Knowledge

    ERIC Educational Resources Information Center

    Fazio, Lisa K.; Barber, Sarah J.; Rajaram, Suparna; Ornstein, Peter A.; Marsh, Elizabeth J.

    2013-01-01

    Most people know that the Pacific is the largest ocean on Earth and that Edison invented the light bulb. Our question is whether this knowledge is stable, or if people will incorporate errors into their knowledge bases, even if they have the correct knowledge stored in memory. To test this, we asked participants general-knowledge questions 2 weeks…

  8. Overweight and obesity knowledge prior to pregnancy: a survey study.

    PubMed

    Nitert, Marloes Dekker; Foxcroft, Katie F; Lust, Karin; Fagermo, Narelle; Lawlor, Debbie A; O'Callaghan, Michael; McIntyre, H David; Callaway, Leonie K

    2011-11-21

    Overweight and obesity are associated with increased risk for pregnancy complications. Knowledge about increased risks in overweight and obese women could contribute to successful prevention strategies and the aim of this study is to assess current levels of knowledge in a pregnant population. Cross sectional survey of 412 consecutive unselected women in early pregnancy in Brisbane, Australia: 255 public women attending their first antenatal clinic visit and 157 women at private maternal fetal medicine clinics undergoing a routine ultrasound evaluation prior to 20 weeks gestation. The cohort was stratified according to pre pregnancy BMI (< 25.0 or ≥ 25.0). The main outcome measure was knowledge regarding the risks of overweight and obesity in pregnancy. Over 75% of respondents identified that obese women have an increased risk of overall complications, including gestational diabetes and hypertensive disorders of pregnancy compared to women of normal weight. More than 60% of women asserted that obesity would increase the risk of caesarean section and less than half identified an increased risk of adverse neonatal outcomes. Women were less likely to know about neonatal complications (19.7% did not know about the effect of obesity on these) than maternal complications (7.4%). Knowledge was similar amongst women recruited at the public hospital and those recruited whilst attending for an ultrasound scan at a private clinic. For most areas they were also similar between women of lower and higher BMI, but women with BMI < 25.0 were less likely to know that obesity was associated with increased rate of Caesarean section than those with higher BMI (16.8% versus 4.5%, P < 0.001). Higher educational status was associated with more knowledge of the risks of overweight and obesity in pregnancy. Many women correctly identify that overweight and obesity increases the overall risk of complications of pregnancy and childbirth. The increased risks of maternal complications

  9. Estimating kinetic mechanisms with prior knowledge I: Linear parameter constraints.

    PubMed

    Salari, Autoosa; Navarro, Marco A; Milescu, Mirela; Milescu, Lorin S

    2018-02-05

    To understand how ion channels and other proteins function at the molecular and cellular levels, one must decrypt their kinetic mechanisms. Sophisticated algorithms have been developed that can be used to extract kinetic parameters from a variety of experimental data types. However, formulating models that not only explain new data, but are also consistent with existing knowledge, remains a challenge. Here, we present a two-part study describing a mathematical and computational formalism that can be used to enforce prior knowledge into the model using constraints. In this first part, we focus on constraints that enforce explicit linear relationships involving rate constants or other model parameters. We develop a simple, linear algebra-based transformation that can be applied to enforce many types of model properties and assumptions, such as microscopic reversibility, allosteric gating, and equality and inequality parameter relationships. This transformation converts the set of linearly interdependent model parameters into a reduced set of independent parameters, which can be passed to an automated search engine for model optimization. In the companion article, we introduce a complementary method that can be used to enforce arbitrary parameter relationships and any constraints that quantify the behavior of the model under certain conditions. The procedures described in this study can, in principle, be coupled to any of the existing methods for solving molecular kinetics for ion channels or other proteins. These concepts can be used not only to enforce existing knowledge but also to formulate and test new hypotheses. © 2018 Salari et al.

  10. Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology

    PubMed Central

    2010-01-01

    Background In the literature, there are fruitful algorithmic approaches for identification functional modules in protein-protein interactions (PPI) networks. Because of accumulation of large-scale interaction data on multiple organisms and non-recording interaction data in the existing PPI database, it is still emergent to design novel computational techniques that can be able to correctly and scalably analyze interaction data sets. Indeed there are a number of large scale biological data sets providing indirect evidence for protein-protein interaction relationships. Results The main aim of this paper is to present a prior knowledge based mining strategy to identify functional modules from PPI networks with the aid of Gene Ontology. Higher similarity value in Gene Ontology means that two gene products are more functionally related to each other, so it is better to group such gene products into one functional module. We study (i) to encode the functional pairs into the existing PPI networks; and (ii) to use these functional pairs as pairwise constraints to supervise the existing functional module identification algorithms. Topology-based modularity metric and complex annotation in MIPs will be used to evaluate the identified functional modules by these two approaches. Conclusions The experimental results on Yeast PPI networks and GO have shown that the prior knowledge based learning methods perform better than the existing algorithms. PMID:21172053

  11. Do large-scale assessments measure students' ability to integrate scientific knowledge?

    NASA Astrophysics Data System (ADS)

    Lee, Hee-Sun

    2010-03-01

    Large-scale assessments are used as means to diagnose the current status of student achievement in science and compare students across schools, states, and countries. For efficiency, multiple-choice items and dichotomously-scored open-ended items are pervasively used in large-scale assessments such as Trends in International Math and Science Study (TIMSS). This study investigated how well these items measure secondary school students' ability to integrate scientific knowledge. This study collected responses of 8400 students to 116 multiple-choice and 84 open-ended items and applied an Item Response Theory analysis based on the Rasch Partial Credit Model. Results indicate that most multiple-choice items and dichotomously-scored open-ended items can be used to determine whether students have normative ideas about science topics, but cannot measure whether students integrate multiple pieces of relevant science ideas. Only when the scoring rubric is redesigned to capture subtle nuances of student open-ended responses, open-ended items become a valid and reliable tool to assess students' knowledge integration ability.

  12. The value of prior knowledge in machine learning of complex network systems.

    PubMed

    Ferranti, Dana; Krane, David; Craft, David

    2017-11-15

    Our overall goal is to develop machine-learning approaches based on genomics and other relevant accessible information for use in predicting how a patient will respond to a given proposed drug or treatment. Given the complexity of this problem, we begin by developing, testing and analyzing learning methods using data from simulated systems, which allows us access to a known ground truth. We examine the benefits of using prior system knowledge and investigate how learning accuracy depends on various system parameters as well as the amount of training data available. The simulations are based on Boolean networks-directed graphs with 0/1 node states and logical node update rules-which are the simplest computational systems that can mimic the dynamic behavior of cellular systems. Boolean networks can be generated and simulated at scale, have complex yet cyclical dynamics and as such provide a useful framework for developing machine-learning algorithms for modular and hierarchical networks such as biological systems in general and cancer in particular. We demonstrate that utilizing prior knowledge (in the form of network connectivity information), without detailed state equations, greatly increases the power of machine-learning algorithms to predict network steady-state node values ('phenotypes') and perturbation responses ('drug effects'). Links to codes and datasets here: https://gray.mgh.harvard.edu/people-directory/71-david-craft-phd. dcraft@broadinstitute.org. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

  13. Mechanisms underlying comprehension of health information in adulthood: the roles of prior knowledge and working memory capacity.

    PubMed

    Soederberg Miller, Lisa M; Gibson, Tanja N; Applegate, Elizabeth A; de Dios, Jeannette

    2011-07-01

    Prior knowledge, working memory capacity (WMC), and conceptual integration (attention allocated to integrating concepts in text) are critical within many contexts; however, their impact on the acquisition of health information (i.e. learning) is relatively unexplored.We examined how these factors impact learning about nutrition within a cross-sectional study of adults ages 18 to 81. Results showed that conceptual integration mediated the effects of knowledge and WMC on learning, confirming that attention to concepts while reading is important for learning about health. We also found that when knowledge was controlled, age declines in learning increased, suggesting that knowledge mitigates the effects of age on learning about nutrition.

  14. Abilities of 4-7 Years Old Children to Provide Independent Explanations and Generalisations of Causality

    ERIC Educational Resources Information Center

    Daugirdiene, Ausra; Petrulyte, Aiste; Brandisauskiene, Agne

    2018-01-01

    The understanding and generalisation of causality are important thinking abilities, as they form the basis for a person's activity. Researchers exploring these abilities do not have a unified opinion regarding the age of children when they develop causative understanding and its determinant factors (e.g. age, prior knowledge, the content of a…

  15. Relevant Prior Knowledge Moderates the Effect of Elaboration during Small Group Discussion on Academic Achievement

    ERIC Educational Resources Information Center

    Van Blankenstein, Floris M.; Dolmans, Diana H. J. M.; Van der Vleuten, Cees P. M.; Schmidt, Henk G.

    2013-01-01

    This study set out to test whether relevant prior knowledge would moderate a positive effect on academic achievement of elaboration during small-group discussion. In a 2 × 2 experimental design, 66 undergraduate students observed a video showing a small-group problem-based discussion about thunder and lightning. In the video, a teacher asked…

  16. Predicting Children's Reading and Mathematics Achievement from Early Quantitative Knowledge and Domain-General Cognitive Abilities

    PubMed Central

    Chu, Felicia W.; vanMarle, Kristy; Geary, David C.

    2016-01-01

    One hundred children (44 boys) participated in a 3-year longitudinal study of the development of basic quantitative competencies and the relation between these competencies and later mathematics and reading achievement. The children's preliteracy knowledge, intelligence, executive functions, and parental educational background were also assessed. The quantitative tasks assessed a broad range of symbolic and nonsymbolic knowledge and were administered four times across 2 years of preschool. Mathematics achievement was assessed at the end of each of 2 years of preschool, and mathematics and word reading achievement were assessed at the end of kindergarten. Our goals were to determine how domain-general abilities contribute to growth in children's quantitative knowledge and to determine how domain-general and domain-specific abilities contribute to children's preschool mathematics achievement and kindergarten mathematics and reading achievement. We first identified four core quantitative competencies (e.g., knowledge of the cardinal value of number words) that predict later mathematics achievement. The domain-general abilities were then used to predict growth in these competencies across 2 years of preschool, and the combination of domain-general abilities, preliteracy skills, and core quantitative competencies were used to predict mathematics achievement across preschool and mathematics and word reading achievement at the end of kindergarten. Both intelligence and executive functions predicted growth in the four quantitative competencies, especially across the first year of preschool. A combination of domain-general and domain-specific competencies predicted preschoolers' mathematics achievement, with a trend for domain-specific skills to be more strongly related to achievement at the beginning of preschool than at the end of preschool. Preschool preliteracy skills, sensitivity to the relative quantities of collections of objects, and cardinal knowledge predicted

  17. Predicting Children's Reading and Mathematics Achievement from Early Quantitative Knowledge and Domain-General Cognitive Abilities.

    PubMed

    Chu, Felicia W; vanMarle, Kristy; Geary, David C

    2016-01-01

    One hundred children (44 boys) participated in a 3-year longitudinal study of the development of basic quantitative competencies and the relation between these competencies and later mathematics and reading achievement. The children's preliteracy knowledge, intelligence, executive functions, and parental educational background were also assessed. The quantitative tasks assessed a broad range of symbolic and nonsymbolic knowledge and were administered four times across 2 years of preschool. Mathematics achievement was assessed at the end of each of 2 years of preschool, and mathematics and word reading achievement were assessed at the end of kindergarten. Our goals were to determine how domain-general abilities contribute to growth in children's quantitative knowledge and to determine how domain-general and domain-specific abilities contribute to children's preschool mathematics achievement and kindergarten mathematics and reading achievement. We first identified four core quantitative competencies (e.g., knowledge of the cardinal value of number words) that predict later mathematics achievement. The domain-general abilities were then used to predict growth in these competencies across 2 years of preschool, and the combination of domain-general abilities, preliteracy skills, and core quantitative competencies were used to predict mathematics achievement across preschool and mathematics and word reading achievement at the end of kindergarten. Both intelligence and executive functions predicted growth in the four quantitative competencies, especially across the first year of preschool. A combination of domain-general and domain-specific competencies predicted preschoolers' mathematics achievement, with a trend for domain-specific skills to be more strongly related to achievement at the beginning of preschool than at the end of preschool. Preschool preliteracy skills, sensitivity to the relative quantities of collections of objects, and cardinal knowledge predicted

  18. Top-down (Prior Knowledge) and Bottom-up (Perceptual Modality) Influences on Spontaneous Interpersonal Synchronization.

    PubMed

    Gipson, Christina L; Gorman, Jamie C; Hessler, Eric E

    2016-04-01

    Coordination with others is such a fundamental part of human activity that it can happen unintentionally. This unintentional coordination can manifest as synchronization and is observed in physical and human systems alike. We investigated the role of top-down influences (prior knowledge of the perceptual modality their partner is using) and bottom-up factors (perceptual modality combination) on spontaneous interpersonal synchronization. We examine this phenomena with respect to two different theoretical perspectives that differently emphasize top-down and bottom-up factors in interpersonal synchronization: joint-action/shared cognition theories and ecological-interactive theories. In an empirical study twelve dyads performed a finger oscillation task while attending to each other's movements through either visual, auditory, or visual and auditory perceptual modalities. Half of the participants were given prior knowledge of their partner's perceptual capabilities for coordinating across these different perceptual modality combinations. We found that the effect of top-down influence depends on the perceptual modality combination between two individuals. When people used the same perceptual modalities, top-down influence resulted in less synchronization and when people used different perceptual modalities, top-down influence resulted in more synchronization. Furthermore, persistence in the change in behavior as a result of having perceptual information about each other ('social memory') was stronger when this top-down influence was present.

  19. Correlation set analysis: detecting active regulators in disease populations using prior causal knowledge

    PubMed Central

    2012-01-01

    Background Identification of active causal regulators is a crucial problem in understanding mechanism of diseases or finding drug targets. Methods that infer causal regulators directly from primary data have been proposed and successfully validated in some cases. These methods necessarily require very large sample sizes or a mix of different data types. Recent studies have shown that prior biological knowledge can successfully boost a method's ability to find regulators. Results We present a simple data-driven method, Correlation Set Analysis (CSA), for comprehensively detecting active regulators in disease populations by integrating co-expression analysis and a specific type of literature-derived causal relationships. Instead of investigating the co-expression level between regulators and their regulatees, we focus on coherence of regulatees of a regulator. Using simulated datasets we show that our method performs very well at recovering even weak regulatory relationships with a low false discovery rate. Using three separate real biological datasets we were able to recover well known and as yet undescribed, active regulators for each disease population. The results are represented as a rank-ordered list of regulators, and reveals both single and higher-order regulatory relationships. Conclusions CSA is an intuitive data-driven way of selecting directed perturbation experiments that are relevant to a disease population of interest and represent a starting point for further investigation. Our findings demonstrate that combining co-expression analysis on regulatee sets with a literature-derived network can successfully identify causal regulators and help develop possible hypothesis to explain disease progression. PMID:22443377

  20. Formative Assessment Pre-Test to Identify College Students' Prior Knowledge, Misconceptions and Learning Difficulties in Biology

    ERIC Educational Resources Information Center

    Lazarowitz, Reuven; Lieb, Carl

    2006-01-01

    A formative assessment pretest was administered to undergraduate students at the beginning of a science course in order to find out their prior knowledge, misconceptions and learning difficulties on the topic of the human respiratory system and energy issues. Those findings could provide their instructors with the valuable information required in…

  1. Prior Knowledge Influence on Self-Explanation Effectiveness when Solving Problems: An Exploratory Study in Science Learning

    ERIC Educational Resources Information Center

    Ionas, Ioan Gelu; Cernusca, Dan; Collier, Harvest L.

    2012-01-01

    This exploratory study presents the outcomes of using self-explanation to improve learners' performance in solving basic chemistry problems. The results of the randomized experiment show the existence of a moderation effect between prior knowledge and the level of support self-explanation provides to learners, suggestive of a synergistic effect…

  2. The Impact of Learner's Prior Knowledge on Their Use of Chemistry Computer Simulations: A Case Study

    ERIC Educational Resources Information Center

    Liu, Han-Chin; Andre, Thomas; Greenbowe, Thomas

    2008-01-01

    It is complicated to design a computer simulation that adapts to students with different characteristics. This study documented cases that show how college students' prior chemistry knowledge level affected their interaction with peers and their approach to solving problems with the use of computer simulations that were designed to learn…

  3. Conceptualising GP teachers' knowledge: a pedagogical content knowledge perspective.

    PubMed

    Cantillon, Peter; de Grave, Willem

    2012-05-01

    Most teacher development initiatives focus on enhancing knowledge of teaching (pedagogy), whilst largely ignoring other important features of teacher knowledge such as subject matter knowledge and awareness of the learning context. Furthermore, teachers' ability to learn from faculty development interventions is limited by their existing (often implicit) pedagogical knowledge and beliefs. Pedagogical content knowledge (PCK) represents a model of teacher knowledge incorporating what they know about subject matter, pedagogy and context. PCK can be used to explore teachers' prior knowledge and to structure faculty development programmes so that they take account of a broader range of teachers' knowledge. We set out to examine the application of a PCK model in a general practice education setting. This study is part of a larger study that employed a mixed method approach (concept mapping, phenomenological interviews and video-stimulated recall) to explore features of GP teachers' subject matter knowledge, pedagogical knowledge and knowledge of the learning environment in the context of a general practice tutorial. This paper presents data on GP teachers' pedagogical and context knowledge. There was considerable overlap between different GP teachers' knowledge and beliefs about learners and the clinical learning environment (i.e. knowledge of context). The teachers' beliefs about learners were largely based on assumptions derived from their own student experiences. There were stark differences, however, between teachers in terms of pedagogical knowledge, particularly in terms of their teaching orientations (i.e. transmission or facilitation orientation) and this was manifest in their teaching behaviours. PCK represents a useful model for conceptualising clinical teacher prior knowledge in three domains, namely subject matter, learning context and pedagogy. It can and should be used as a simple guiding framework by faculty developers to inform the design and delivery of

  4. Individual differences in current events knowledge: contributions of ability, personality, and interests.

    PubMed

    Hambrick, David Z; Meinz, Elizabeth J; Oswald, Frederick L

    2007-03-01

    What accounts for individual differences in the sort of knowledge that people may draw on in everyday cognitive tasks, such as deciding whom to vote for in a presidential election, how to invest money in the stock market, or what team to bet on in a friendly wager? In a large sample of undergraduate students, we investigated correlates of individual differences in recently acquired knowledge of current events in domains such as politics, business, and sports. Structural equation modeling revealed two predictive pathways: one involving cognitive ability factors and the other involving two major nonability factors (personality and interests). The results of this study add to what is known about the sources of individual differences in knowledge and are interpreted in the context of theoretical conceptions of adult intelligence that emphasize the centrality and importance of knowledge (e.g., Ackerman, 1996; Cattell, 1971).

  5. Boosting probabilistic graphical model inference by incorporating prior knowledge from multiple sources.

    PubMed

    Praveen, Paurush; Fröhlich, Holger

    2013-01-01

    Inferring regulatory networks from experimental data via probabilistic graphical models is a popular framework to gain insights into biological systems. However, the inherent noise in experimental data coupled with a limited sample size reduces the performance of network reverse engineering. Prior knowledge from existing sources of biological information can address this low signal to noise problem by biasing the network inference towards biologically plausible network structures. Although integrating various sources of information is desirable, their heterogeneous nature makes this task challenging. We propose two computational methods to incorporate various information sources into a probabilistic consensus structure prior to be used in graphical model inference. Our first model, called Latent Factor Model (LFM), assumes a high degree of correlation among external information sources and reconstructs a hidden variable as a common source in a Bayesian manner. The second model, a Noisy-OR, picks up the strongest support for an interaction among information sources in a probabilistic fashion. Our extensive computational studies on KEGG signaling pathways as well as on gene expression data from breast cancer and yeast heat shock response reveal that both approaches can significantly enhance the reconstruction accuracy of Bayesian Networks compared to other competing methods as well as to the situation without any prior. Our framework allows for using diverse information sources, like pathway databases, GO terms and protein domain data, etc. and is flexible enough to integrate new sources, if available.

  6. Boosting Probabilistic Graphical Model Inference by Incorporating Prior Knowledge from Multiple Sources

    PubMed Central

    Praveen, Paurush; Fröhlich, Holger

    2013-01-01

    Inferring regulatory networks from experimental data via probabilistic graphical models is a popular framework to gain insights into biological systems. However, the inherent noise in experimental data coupled with a limited sample size reduces the performance of network reverse engineering. Prior knowledge from existing sources of biological information can address this low signal to noise problem by biasing the network inference towards biologically plausible network structures. Although integrating various sources of information is desirable, their heterogeneous nature makes this task challenging. We propose two computational methods to incorporate various information sources into a probabilistic consensus structure prior to be used in graphical model inference. Our first model, called Latent Factor Model (LFM), assumes a high degree of correlation among external information sources and reconstructs a hidden variable as a common source in a Bayesian manner. The second model, a Noisy-OR, picks up the strongest support for an interaction among information sources in a probabilistic fashion. Our extensive computational studies on KEGG signaling pathways as well as on gene expression data from breast cancer and yeast heat shock response reveal that both approaches can significantly enhance the reconstruction accuracy of Bayesian Networks compared to other competing methods as well as to the situation without any prior. Our framework allows for using diverse information sources, like pathway databases, GO terms and protein domain data, etc. and is flexible enough to integrate new sources, if available. PMID:23826291

  7. fMRI evidence of equivalent neural suppression by repetition and prior knowledge.

    PubMed

    Poppenk, J; McIntosh, A R; Moscovitch, M

    2016-09-01

    Stimulus repetition speeds behavioral responding (behavioral priming) and is accompanied by suppressed neural responses (repetition suppression; RS) that have been observed up to three days after initial exposure. While some proposals have suggested the two phenomena are linked, behavioral priming has been observed many years after initial exposure, whereas RS is widely considered a transitory phenomenon. This raises the question: what is the true upper limit of RS persistence? To answer this question, we scanned healthy, English-native adults with fMRI as they viewed novel (Asian) proverbs, recently repeated (Asian) proverbs, and previously known (English) proverbs that were matched on various dimensions. We then estimated RS by comparing repeated or previously known proverbs against novel ones. Multivariate analyses linked previously known and repeated proverbs with statistically indistinguishable RS in a broad visual-linguistic network. In each suppressed region, prior knowledge and repetition also induced a common shift in functional connectivity, further underscoring the similarity of the RS phenomenon induced by these conditions. By contrast, activated regions readily distinguished prior knowledge and repetition conditions in a manner consistent with engagement of semantic and episodic memory systems, respectively. Our results illustrate that regardless of whether RS is understood in terms of its magnitude, spatial extent or functional connectivity profile, typical RS effects can be elicited even under conditions where recently triggered biological processes or episodic memory are unlikely to play a prominent role. These results provide important new evidence that RS (of the kind observed after an interval of at least several minutes) reflects the facilitation of perceptual and comprehension processes by any type of information retrieved from long-term memory. Copyright © 2016 Elsevier Ltd. All rights reserved.

  8. Semantically-based priors and nuanced knowledge core for Big Data, Social AI, and language understanding.

    PubMed

    Olsher, Daniel

    2014-10-01

    Noise-resistant and nuanced, COGBASE makes 10 million pieces of commonsense data and a host of novel reasoning algorithms available via a family of semantically-driven prior probability distributions. Machine learning, Big Data, natural language understanding/processing, and social AI can draw on COGBASE to determine lexical semantics, infer goals and interests, simulate emotion and affect, calculate document gists and topic models, and link commonsense knowledge to domain models and social, spatial, cultural, and psychological data. COGBASE is especially ideal for social Big Data, which tends to involve highly implicit contexts, cognitive artifacts, difficult-to-parse texts, and deep domain knowledge dependencies. Copyright © 2014 Elsevier Ltd. All rights reserved.

  9. Utilizing knowledge from prior plans in the evaluation of quality assurance

    NASA Astrophysics Data System (ADS)

    Stanhope, Carl; Wu, Q. Jackie; Yuan, Lulin; Liu, Jianfei; Hood, Rodney; Yin, Fang-Fang; Adamson, Justus

    2015-06-01

    Increased interest regarding sensitivity of pre-treatment intensity modulated radiotherapy and volumetric modulated arc radiotherapy (VMAT) quality assurance (QA) to delivery errors has led to the development of dose-volume histogram (DVH) based analysis. This paradigm shift necessitates a change in the acceptance criteria and action tolerance for QA. Here we present a knowledge based technique to objectively quantify degradations in DVH for prostate radiotherapy. Using machine learning, organ-at-risk (OAR) DVHs from a population of 198 prior patients’ plans were adapted to a test patient’s anatomy to establish patient-specific DVH ranges. This technique was applied to single arc prostate VMAT plans to evaluate various simulated delivery errors: systematic single leaf offsets, systematic leaf bank offsets, random normally distributed leaf fluctuations, systematic lag in gantry angle of the mutli-leaf collimators (MLCs), fluctuations in dose rate, and delivery of each VMAT arc with a constant rather than variable dose rate. Quantitative Analyses of Normal Tissue Effects in the Clinic suggests V75Gy dose limits of 15% for the rectum and 25% for the bladder, however the knowledge based constraints were more stringent: 8.48   ±   2.65% for the rectum and 4.90   ±   1.98% for the bladder. 19   ±   10 mm single leaf and 1.9   ±   0.7 mm single bank offsets resulted in rectum DVHs worse than 97.7% (2σ) of clinically accepted plans. PTV degradations fell outside of the acceptable range for 0.6   ±   0.3 mm leaf offsets, 0.11   ±   0.06 mm bank offsets, 0.6   ±   1.3 mm of random noise, and 1.0   ±   0.7° of gantry-MLC lag. Utilizing a training set comprised of prior treatment plans, machine learning is used to predict a range of achievable DVHs for the test patient’s anatomy. Consequently, degradations leading to statistical outliers may be identified

  10. Prior Conceptual Knowledge and Textbook Search.

    ERIC Educational Resources Information Center

    Byrnes, James P.; Guthrie, John T.

    1992-01-01

    The role of a subject's conceptual knowledge in the procedural task of searching a text for information was studied for 51 college undergraduates in 2 experiments involving knowledge of anatomy. Students with more anatomical information were able to search a text more quickly. Educational implications are discussed. (SLD)

  11. The Role of Specificity, Targeted Learning Activities, and Prior Knowledge for the Effects of Relevance Instructions

    ERIC Educational Resources Information Center

    Roelle, Julian; Lehmkuhl, Nina; Beyer, Martin-Uwe; Berthold, Kirsten

    2015-01-01

    In 2 experiments we examined the role of (a) specificity, (b) the type of targeted learning activities, and (c) learners' prior knowledge for the effects of relevance instructions on learning from instructional explanations. In Experiment 1, we recruited novices regarding the topic of atomic structure (N = 80) and found that "specific"…

  12. "She Has to Drink Blood of the Snake": Culture and Prior Knowledge in Science|Health Education

    ERIC Educational Resources Information Center

    Bricker, Leah A.; Reeve, Suzanne; Bell, Philip

    2014-01-01

    In this analysis, we argue that science education should attend more deeply to youths' cultural resources and practices (e.g. material, social, and intellectual). Inherent in our argument is a call for revisiting conceptions of "prior knowledge" to theorize how people make sense of the complex ecologies of experience, ideas, and cultural…

  13. The Mediation Effect of In-Game Performance between Prior Knowledge and Posttest Score. CRESST Report 819

    ERIC Educational Resources Information Center

    Kerr, Deirdre; Chung, Gregory K. W. K.

    2012-01-01

    Though video games are commonly considered to hold great potential as learning environments, their effectiveness as a teaching tool has yet to be determined. One reason for this is that researchers often run into the problem of multicollinearity between prior knowledge, in-game performance, and posttest scores, thereby making the determination of…

  14. A Study of Innovative Entrepreneurial Talents of Business and Management: Knowledge, Ability and Quality Structure

    ERIC Educational Resources Information Center

    Chen, Yurong; Wang, Wenhua

    2011-01-01

    It has been an urgent mission for universities and institutes to instruct the students with enterprise knowledge and cultivate high quality entrepreneurial talents with innovation. The paper discusses the knowledge, ability and quality structure of talents of economics and administration with a purpose to achieve the goal of innovative…

  15. When Relationships Depicted Diagrammatically Conflict with Prior Knowledge: An Investigation of Students' Interpretations of Evolutionary Trees

    ERIC Educational Resources Information Center

    Novick, Laura R.; Catley, Kefyn M.

    2014-01-01

    Science is an important domain for investigating students' responses to information that contradicts their prior knowledge. In previous studies of this topic, this information was communicated verbally. The present research used diagrams, specifically trees (cladograms) depicting evolutionary relationships among taxa. Effects of college…

  16. Temporal Learning in 4 1/2- and 6-Year-Old Children: Role of Instructions and Prior Knowledge.

    ERIC Educational Resources Information Center

    Droit, Sylvie; And Others

    1990-01-01

    Examined the role of prior temporal knowledge of 4 1/2- and 6-year-olds through the use of high-rate, interval, and minimal instructions in a fixed-interval training schedule. Determined that the subjects' learning depended on their verbal self-control skills. (BC)

  17. Development of Polytechnic Knowledge and Abilities in the Course of Studying Physics

    ERIC Educational Resources Information Center

    Imashev, Gizatulla; Abykanova, Bakytgul T.; Rakhmetova, Mairagul T.; Tumysheva, Anar A.; Moldasheva, Raushan N.; Ilyasova, Sandugash S.; Shahimova, Aliya A.

    2016-01-01

    In this article one of aspects of physics course studying improvement at high schools--the problem of the development of polytechnic knowledge and abilities in modern conditions--is revealed. In this research, the role and place of polytechnic education in the improvement of teaching physics at high schools are revealed, the main pedagogical…

  18. Vocabulary Knowledge and Morphological Awareness in Chinese as a Heritage Language (CHL) Reading Comprehension Ability

    ERIC Educational Resources Information Center

    Zhang, Haomin; Koda, Keiko

    2018-01-01

    This study explored the role of vocabulary knowledge and morphological awareness in reading comprehension ability of Chinese as a heritage language (CHL) learners. One hundred ninety five CHL students participated in this study and completed a series of measures including two sets of vocabulary knowledge (one consisting of items pertaining to…

  19. The Impacts of Virtual Manipulatives and Prior Knowledge on Geometry Learning Performance in Junior High School

    ERIC Educational Resources Information Center

    Lee, Chun-Yi; Chen, Ming-Jang

    2014-01-01

    Previous studies on the effects of virtual and physical manipulatives have failed to consider the impact of prior knowledge on the efficacy of manipulatives. This study focuses on the learning of plane geometry in junior high schools, including the sum of interior angles in polygons, the sum of exterior angles in polygons, and the properties of…

  20. The Effectiveness of Worked Examples Associated with Presentation Format and Prior Knowledge: A Web-Based Experiment

    ERIC Educational Resources Information Center

    Hsiao, E-Ling

    2010-01-01

    The aim of this study is to explore whether presentation format and prior knowledge affect the effectiveness of worked examples. The experiment was conducted through a specially designed online instrument. A 2X2X3 factorial before-and-after design was conducted. Three-way ANOVA was employed for data analysis. The result showed first, that prior…

  1. Prediction of microwave absorption properties of tetrapod-needle zinc oxide whisker radar absorbing material without prior knowledge

    NASA Astrophysics Data System (ADS)

    Zhao, Yu-Chen; Wang, Jie; Liu, Jiang-Fan; Song, Zhong-Guo; Xi, Xiao-Li

    2017-07-01

    The radar absorbing material (RAM) containing a tetrapod-needle zinc oxide whisker (T-ZnOw) has been proved to have good efficiency of microwave absorption. However, the available theoretical models, which are intended to predict the microwave absorbing properties of such an interesting composite, still cannot work well without some prior knowledge, like the measured effective electromagnetic parameters of the prepared T-ZnOw composite. Hence, we propose a novel predictive method here to calculate the reflectivity of T-ZnOw RAM without prior knowledge. In this method, the absorbing ability of this kind of material is divided into three main aspects: the unstructured background, the conductive network, and the nanostructured particle. Then, the attenuation properties of these three parts are represented, respectively, by three different approaches: the equivalent spherical particle and the static strong fluctuation theory, the equivalent circuit model obtained from the complex impedance spectra technology, and the combination of four different microscopic electromagnetic responses. The operational calculation scheme can be obtained by integrating these three absorption effects into the existing theoretical attenuation model. The reasonable agreement between the theoretical and experimental data of a T-ZnON/SiO2 composite in the range of 8-14 GHz shows that the proposed scheme can predict the microwave absorption properties of the T-ZnOw RAM. Furthermore, a detailed analysis of these three mechanisms indicates that, on the one hand, the background plays a dominant role in determining the real part of the effective permittivity of the T-ZnOw composite while the network and the particle are the decisive factors of its material loss; on the other hand, an zero-phase impedance, i.e., a pure resistance, with appropriate resonance characteristic might be a rational physical description of the attenuation property of the conductive network, but it is difficult to realize

  2. Visual representations in science education: The influence of prior knowledge and cognitive load theory on instructional design principles

    NASA Astrophysics Data System (ADS)

    Cook, Michelle Patrick

    2006-11-01

    Visual representations are essential for communicating ideas in the science classroom; however, the design of such representations is not always beneficial for learners. This paper presents instructional design considerations providing empirical evidence and integrating theoretical concepts related to cognitive load. Learners have a limited working memory, and instructional representations should be designed with the goal of reducing unnecessary cognitive load. However, cognitive architecture alone is not the only factor to be considered; individual differences, especially prior knowledge, are critical in determining what impact a visual representation will have on learners' cognitive structures and processes. Prior knowledge can determine the ease with which learners can perceive and interpret visual representations in working memory. Although a long tradition of research has compared experts and novices, more research is necessary to fully explore the expert-novice continuum and maximize the potential of visual representations.

  3. The Effect of Prior Knowledge and Feedback Type Design on Student Achievement and Satisfaction in Introductory Accounting

    ERIC Educational Resources Information Center

    Campbell, Donald P.

    2013-01-01

    This study investigated the effect of student prior knowledge and feedback type on student achievement and satisfaction in an introductory managerial accounting course using computer-based formative assessment tools. The study involved a redesign of the existing Job Order Costing unit using the ADDIE model of instructional design. The…

  4. Exploring Pre-Service Teachers' Knowledge of and Ability to Use Text Messaging

    ERIC Educational Resources Information Center

    Geng, Gretchen; Disney, Leigh

    2014-01-01

    This study aimed to assess the pre-service teachers' knowledge of and ability to use text messaging, and assist their use of this technology in the classroom teaching context. Data were gathered by means of a questionnaire and text message exercises. Fifty-three pre-service teachers participated in the study. It was found that although different…

  5. Creating Connections: Using the Internet to Support Struggling Readers' Background Knowledge. Issues in Technology

    ERIC Educational Resources Information Center

    Karchmer, Rachel A.

    2004-01-01

    Background knowledge plays an important role in one?s ability to learn. We learn new knowledge by relating it to our prior knowledge, which in turn provides concrete understanding (Piaget, 1969). Rosenblatt (1996) explained, "The reader brings to the work personality traits, memories of past events, present needs and preoccupations, a…

  6. How to achieve synergy between medical education and cognitive neuroscience? An exercise on prior knowledge in understanding.

    PubMed

    Ruiter, Dirk J; van Kesteren, Marlieke T R; Fernandez, Guillen

    2012-05-01

    A major challenge in contemporary research is how to connect medical education and cognitive neuroscience and achieve synergy between these domains. Based on this starting point we discuss how this may result in a common language about learning, more educationally focused scientific inquiry, and multidisciplinary research projects. As the topic of prior knowledge in understanding plays a strategic role in both medical education and cognitive neuroscience it is used as a central element in our discussion. A critical condition for the acquisition of new knowledge is the existence of prior knowledge, which can be built in a mental model or schema. Formation of schemas is a central event in student-centered active learning, by which mental models are constructed and reconstructed. These theoretical considerations from cognitive psychology foster scientific discussions that may lead to salient issues and questions for research with cognitive neuroscience. Cognitive neuroscience attempts to understand how knowledge, insight and experience are established in the brain and to clarify their neural correlates. Recently, evidence has been obtained that new information processed by the hippocampus can be consolidated into a stable, neocortical network more rapidly if this new information fits readily into a schema. Opportunities for medical education and medical education research can be created in a fruitful dialogue within an educational multidisciplinary platform. In this synergetic setting many questions can be raised by educational scholars interested in evidence-based education that may be highly relevant for integrative research and the further development of medical education.

  7. The Effects of Source Credibility in the Presence or Absence of Prior Attitudes: Implications for the Design of Persuasive Communication Campaigns.

    PubMed

    Kumkale, G Tarcan; Albarracín, Dolores; Seignourel, Paul J

    2010-06-01

    Most theories of persuasion predict that limited ability and motivation to think about communications should increase the impact of source credibility on persuasion. Furthermore, this effect is assumed to occur, regardless of whether or not the recipients have prior attitudes. In this study, the effects of source credibility, ability, and motivation (knowledge, message repetition, relevance) on persuasion were examined meta-analytically across both attitude formation and change conditions. Findings revealed that the Source Credibility × Ability/Motivation interaction emerged only when participants lacked prior attitudes and were unable to form a new attitude based on the message content. In such settings, the effects of source credibility decayed rapidly. The implications of these findings for applied communication campaigns are discussed.

  8. Knowledge and abilities catalog for nuclear power plant operators: Boiling water reactors, Revision 1

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    NONE

    1995-08-01

    The Knowledge and Abilities Catalog for Nuclear Power Plant Operators: Boiling-Water Reactors (BWRs) (NUREG-1123, Revision 1) provides the basis for the development of content-valid licensing examinations for reactor operators (ROs) and senior reactor operators (SROs). The examinations developed using the BWR Catalog along with the Operator Licensing Examiner Standards (NUREG-1021) and the Examiner`s Handbook for Developing Operator Licensing Written Examinations (NUREG/BR-0122), will cover the topics listed under Title 10, Code of Federal Regulations, Part 55 (10 CFR 55). The BWR Catalog contains approximately 7,000 knowledge and ability (K/A) statements for ROs and SROs at BWRs. The catalog is organized intomore » six major sections: Organization of the Catalog, Generic Knowledge and Ability Statements, Plant Systems grouped by Safety Functions, Emergency and Abnormal Plant Evolutions, Components, and Theory. Revision 1 to the BWR Catalog represents a modification in form and content of the original catalog. The K/As were linked to their applicable 10 CFR 55 item numbers. SRO level K/As were identified by 10 CFR 55.43 item numbers. The plant-wide generic and system generic K/As were combined in one section with approximately one hundred new K/As. Component Cooling Water and Instrument Air Systems were added to the Systems Section. Finally, High Containment Hydrogen Concentration and Plant Fire On Site evolutions added to the Emergency and Abnormal Plant Evolutions section.« less

  9. Reflecting on explanatory ability: A mechanism for detecting gaps in causal knowledge.

    PubMed

    Johnson, Dan R; Murphy, Meredith P; Messer, Riley M

    2016-05-01

    People frequently overestimate their understanding-with a particularly large blind-spot for gaps in their causal knowledge. We introduce a metacognitive approach to reducing overestimation, termed reflecting on explanatory ability (REA), which is briefly thinking about how well one could explain something in a mechanistic, step-by-step, causally connected manner. Nine experiments demonstrated that engaging in REA just before estimating one's understanding substantially reduced overestimation. Moreover, REA reduced overestimation with nearly the same potency as generating full explanations, but did so 20 times faster (although only for high complexity objects). REA substantially reduced overestimation by inducing participants to quickly evaluate an object's inherent causal complexity (Experiments 4-7). REA reduced overestimation by also fostering step-by-step, causally connected processing (Experiments 2 and 3). Alternative explanations for REA's effects were ruled out including a general conservatism account (Experiments 4 and 5) and a covert explanation account (Experiment 8). REA's overestimation-reduction effect generalized beyond objects (Experiments 1-8) to sociopolitical policies (Experiment 9). REA efficiently detects gaps in our causal knowledge with implications for improving self-directed learning, enhancing self-insight into vocational and academic abilities, and even reducing extremist attitudes. (c) 2016 APA, all rights reserved).

  10. Effects of Prior Knowledge of Topics and the Instructional Objectives on Students' Achievement in Literature-in-English

    ERIC Educational Resources Information Center

    Mbah, Blessing Akaraka

    2015-01-01

    This study investigated the effects of prior knowledge of topics with their instructional objectives on senior secondary school class two (SS II) students. The study was carried out in Abakaliki Education Zone of Ebonyi State, Nigeria. The design of the study is quasi experimental of pretest-posttest of non-equivalent control group. Two research…

  11. Implicit Theory of Writing Ability: Relationship to Metacognitive Strategy Knowledge and Strategy Use in Academic Writing

    ERIC Educational Resources Information Center

    Karlen, Yves; Compagnoni, Miriam

    2017-01-01

    Implicit theories about the nature of human attributes as either malleable or fixed influence how people perceive knowledge and approach different tasks. Two studies explored the relationship between implicit theory of writing ability, metacognitive strategy knowledge (MSK), and strategy use in the context of academic writing. The pre-study with N…

  12. Investigating the Roles of Knowledge and Cognitive Abilities in Older Adult Information Seeking on the Web

    PubMed Central

    SHARIT, JOSEPH; HERNÁNDEZ, MARIO A.; CZAJA, SARA J.; PIROLLI, PETER

    2009-01-01

    This study investigated the influences of knowledge, particularly Internet, Web browser, and search engine knowledge, as well as cognitive abilities on older adult information seeking on the Internet. The emphasis on aspects of cognition was informed by a modeling framework of search engine information-seeking behavior. Participants from two older age groups were recruited: twenty people in a younger-old group (ages 60–70) and twenty people in an older-old group (ages 71–85). Ten younger adults (ages 18–39) served as a comparison group. All participants had at least some Internet search experience. The experimental task consisted of six realistic search problems, all involving information related to health and well-being and which varied in degree of complexity. The results indicated that though necessary, Internet-related knowledge was not sufficient in explaining information-seeking performance, and suggested that a combination of both knowledge and key cognitive abilities is important for successful information seeking. In addition, the cognitive abilities that were found to be critical for task performance depended on the search problem’s complexity. Also, significant differences in task performance between the younger and the two older age groups were found on complex, but not on simple problems. Overall, the results from this study have implications for instructing older adults on Internet information seeking and for the design of Web sites. PMID:20011130

  13. Learning Using Dynamic and Static Visualizations: Students' Comprehension, Prior Knowledge and Conceptual Status of a Biotechnological Method

    NASA Astrophysics Data System (ADS)

    Yarden, Hagit; Yarden, Anat

    2010-05-01

    The importance of biotechnology education at the high-school level has been recognized in a number of international curriculum frameworks around the world. One of the most problematic issues in learning biotechnology has been found to be the biotechnological methods involved. Here, we examine the unique contribution of an animation of the polymerase chain reaction (PCR) in promoting conceptual learning of the biotechnological method among 12th-grade biology majors. All of the students learned about the PCR using still images ( n = 83) or the animation ( n = 90). A significant advantage to the animation treatment was identified following learning. Students’ prior content knowledge was found to be an important factor for students who learned PCR using still images, serving as an obstacle to learning the PCR method in the case of low prior knowledge. Through analysing students’ discourse, using the framework of the conceptual status analysis, we found that students who learned about PCR using still images faced difficulties in understanding some mechanistic aspects of the method. On the other hand, using the animation gave the students an advantage in understanding those aspects.

  14. The effects of prior knowledge on study-time allocation and free recall: investigating the discrepancy reduction model.

    PubMed

    Verkoeijen, Peter P J L; Rikers, Remy M J P; Schmidt, Henk G

    2005-01-01

    In this study, the authors examined the influence of prior knowledge activation on information processing by means of a prior knowledge activation procedure adopted from the read-generate paradigm. On the basis of cue-target pairs, participants in the experimental groups generated two different sets of items before studying a relevant list. Subsequently, participants were informed that they had to study the items in the list and that they should try to remember as many items as possible. The authors assessed the processing time allocated to the items in the list and free recall of those items. The results revealed that the experimental groups spent less time on items that had already been activated. In addition, the experimental groups outperformed the control group in overall free recall and in free recall of the activated items. Between-group comparisons did not demonstrate significant effects with respect to the processing time and free recall of nonactivated items. The authors interpreted these results in terms of the discrepancy reduction model of regulating the amount of processing time allocated to different parts of the list.

  15. Reasoning strategies used by students to solve stoichiometry problems and its relationship to alternative conceptions, prior knowledge, and cognitive variables

    NASA Astrophysics Data System (ADS)

    de Astudillo, Luisa Rojas; Niaz, Mansoor

    1996-06-01

    Achievement in science depends on a series of factors that characterize the cognitive abilities of the students and the complex interactions between these factors and the environment that intervenes in the formation of students' background. The objective of this study is to: a) investigate reasoning strategies students use in solving stoichiometric problems; b) explore the relation between these strategies and alternative conceptions, prior knowledge and cognitive variables; and c) interpret the results within an epistemological framework. Results obtained show how stoichiometric relations produce conflicting situations for students, leading to conceptual misunderstanding of concepts, such as mass, atoms and moles. The wide variety of strategies used by students attest to the presence of competing and conflicting frameworks (progressive transitions, cf. Lakatos, 1970), leading to greater conceptual understanding. It is concluded that the methodology developed in this study (based on a series of closely related probing questions, generally requiring no calculations, that elicit student conceptual understanding to varying degrees within an intact classroom context) was influential in improving student performance. This improvement in performance, however, does not necessarily affect students' hard core of beliefs.

  16. The Role of Initial Learning, Problem Features, Prior Knowledge, and Pattern Recognition on Transfer Success

    ERIC Educational Resources Information Center

    Dinsmore, Daniel L.; Baggetta, Peter; Doyle, Stephanie; Loughlin, Sandra M.

    2014-01-01

    The purpose of this study was to demonstrate that transfer ability (positive and negative) varies depending on the nature of the problems, using the knowledge transfer matrix, as well as being dependent on the individual differences of the learner. A total of 178 participants from the United States and New Zealand completed measures of prior…

  17. The Extension-Reduction Strategy: Activating Prior Knowledge

    ERIC Educational Resources Information Center

    Sloyer, Cliff W.

    2004-01-01

    A mathematical problem is solved using the extension-reduction or build it up-tear it down tactic. This technique is implemented in reviving students' earlier knowledge to enable them to apply this knowledge to solving new problems.

  18. Exploring Differences in Practicing Teachers' Valuing of Pedagogical Knowledge Based on Teaching Ability Beliefs

    ERIC Educational Resources Information Center

    Fives, Helenrose; Buehl, Michelle M.

    2014-01-01

    In this investigation, we assessed 443 teachers' beliefs with the "Teaching Ability Belief Scale" (TABS) and the "Importance of Teaching Knowledge Scale" (ITKS). Using cluster analysis, we identified four groups of teachers based on their responses to the TABS reflecting "Innate," "Learned,"…

  19. Activating Junior Secondary School Students' Prior Knowledge for the Development of Vocabulary, Concepts and Mathematics through Instructional Strategies

    ERIC Educational Resources Information Center

    Oyinloye, Olu; Popoola, Abiodun A.

    2013-01-01

    This paper investigates the activation of students' prior knowledge for the development of vocabulary, concepts and mathematics. It has been observed that many secondary school students are not performing well in the examination conducted by the West African Examinations Council and National Examinations Council of Nigeria. The situation became…

  20. The Effect of Verbal and Visuo-Spatial Abilities on the Development of Knowledge of the Earth

    ERIC Educational Resources Information Center

    Kikas, Eve

    2006-01-01

    Difficulties in students' understanding of the spherical model of the Earth have been shown in previous studies. One of the reasons for these difficulties lies in beliefs and preliminary knowledge that hinder the interpretation of the scientific knowledge, the other reason may lie in the low level of verbal and visuo-spatial abilities. The study…

  1. Noticing relevant problem features: activating prior knowledge affects problem solving by guiding encoding

    PubMed Central

    Crooks, Noelle M.; Alibali, Martha W.

    2013-01-01

    This study investigated whether activating elements of prior knowledge can influence how problem solvers encode and solve simple mathematical equivalence problems (e.g., 3 + 4 + 5 = 3 + __). Past work has shown that such problems are difficult for elementary school students (McNeil and Alibali, 2000). One possible reason is that children's experiences in math classes may encourage them to think about equations in ways that are ultimately detrimental. Specifically, children learn a set of patterns that are potentially problematic (McNeil and Alibali, 2005a): the perceptual pattern that all equations follow an “operations = answer” format, the conceptual pattern that the equal sign means “calculate the total”, and the procedural pattern that the correct way to solve an equation is to perform all of the given operations on all of the given numbers. Upon viewing an equivalence problem, knowledge of these patterns may be reactivated, leading to incorrect problem solving. We hypothesized that these patterns may negatively affect problem solving by influencing what people encode about a problem. To test this hypothesis in children would require strengthening their misconceptions, and this could be detrimental to their mathematical development. Therefore, we tested this hypothesis in undergraduate participants. Participants completed either control tasks or tasks that activated their knowledge of the three patterns, and were then asked to reconstruct and solve a set of equivalence problems. Participants in the knowledge activation condition encoded the problems less well than control participants. They also made more errors in solving the problems, and their errors resembled the errors children make when solving equivalence problems. Moreover, encoding performance mediated the effect of knowledge activation on equivalence problem solving. Thus, one way in which experience may affect equivalence problem solving is by influencing what students encode about the

  2. The Interpretation of a Knowledge Claim in the Recognition of Prior Learning (RPL) and the Impact of This on RPL Practice

    ERIC Educational Resources Information Center

    de Graaff, Frederika

    2014-01-01

    The question addressed in this paper is: what does a knowledge claim consist of in the context of the Recognition of Prior Learning (RPL)? The research comprises a case study of RPL applicants' entry into a postgraduate diploma (a fourth-year programme) in project management. The focus is on the knowledge claims made as part of the RPL application…

  3. Counting-On, Trading and Partitioning: Effects of Training and Prior Knowledge on Performance on Base-10 Tasks

    ERIC Educational Resources Information Center

    Saxton, Matthew; Cakir, Kadir

    2006-01-01

    Factors affecting performance on base-10 tasks were investigated in a series of four studies with a total of 453 children aged 5-7 years. Training in counting-on was found to enhance child performance on base-10 tasks (Studies 2, 3, and 4), while prior knowledge of counting-on (Study 1), trading (Studies 1 and 3), and partitioning (Studies 1 and…

  4. Estimating the effect of lay knowledge and prior contact with pulmonary TB patients, on health-belief model in a high-risk pulmonary TB transmission population.

    PubMed

    Zein, Rizqy Amelia; Suhariadi, Fendy; Hendriani, Wiwin

    2017-01-01

    The research aimed to investigate the effect of lay knowledge of pulmonary tuberculosis (TB) and prior contact with pulmonary TB patients on a health-belief model (HBM) as well as to identify the social determinants that affect lay knowledge. Survey research design was conducted, where participants were required to fill in a questionnaire, which measured HBM and lay knowledge of pulmonary TB. Research participants were 500 residents of Semampir, Asemrowo, Bubutan, Pabean Cantian, and Simokerto districts, where the risk of pulmonary TB transmission is higher than other districts in Surabaya. Being a female, older in age, and having prior contact with pulmonary TB patients significantly increase the likelihood of having a higher level of lay knowledge. Lay knowledge is a substantial determinant to estimate belief in the effectiveness of health behavior and personal health threat. Prior contact with pulmonary TB patients is able to explain the belief in the effectiveness of a health behavior, yet fails to estimate participants' belief in the personal health threat. Health authorities should prioritize males and young people as their main target groups in a pulmonary TB awareness campaign. The campaign should be able to reconstruct people's misconception about pulmonary TB, thereby bringing around the health-risk perception so that it is not solely focused on improving lay knowledge.

  5. Analysis of pedagogical content knowledge (PCK) ability of science teachers in planning and reflecting on environmental pollution content

    NASA Astrophysics Data System (ADS)

    Purwianingsih, W.; Mardiyah, A.

    2018-05-01

    Pedagogical Content Knowledge (PCK) is a blend of content knowledge and pedagogy knowledge, which can illustrate the ability of teachers to design and to teach a content by accessing what they knows about the material, students, curriculum and how best to teach the content. Description of PCK ability of science teachers can be accessed through an analysis of their ability to plan and reflect on learning. This study aims to provide an overview of teachers’ PCK skills on environmental pollution materials through use of Content Representation (CoRe) and Pedagogical and Professional-experience Repertoires (PaP-eRs). Descriptive method used in this study with six of science teachers on 7th class from three different schools as subject. The results show that teachers’ PCK skills in planning through CoRe and reflecting through PaP-eRs are in fairly good category. The teacher’s ability in implementing environmental pollution learning materials is in good category. However, there is still a discrepancy between planning through CoRe and the implementation of classroom learning. The teacher’s PCK is influenced by teaching experience and educational background.

  6. Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data

    PubMed Central

    Shah, Abhik; Woolf, Peter

    2009-01-01

    Summary In this paper, we introduce pebl, a Python library and application for learning Bayesian network structure from data and prior knowledge that provides features unmatched by alternative software packages: the ability to use interventional data, flexible specification of structural priors, modeling with hidden variables and exploitation of parallel processing. PMID:20161541

  7. Event-related potentials reveal the effect of prior knowledge on competition for representation and attentional capture.

    PubMed

    Hilimire, Matthew R; Corballis, Paul M

    2014-01-01

    Objects compete for representation in our limited capacity visual system. We examined how this competition is influenced by top-down knowledge using event-related potentials. Competition was manipulated by presenting visual search arrays in which the target or distractor was the only color singleton compared to displays in which both singletons were presented. Experiments 1 and 2 manipulated whether the observer knew the color of the target in advance. Experiment 3 ruled out low-level sensory explanations. Results show that, under conditions of competition, the distractor does not elicit an N2pc when the target color is known. However, the N2pc elicited by the target is reduced in the presence of a distractor. These findings suggest that top-down knowledge can prevent the capture of attention by distracting information, but this prior knowledge does not eliminate the competitive influence of the distractor on the target. Copyright © 2013 Society for Psychophysiological Research.

  8. Fostering Upper Secondary Students' Ability to Engage in Practices of Scientific Investigation: a Comparative Analysis of an Explicit and an Implicit Instructional Approach

    NASA Astrophysics Data System (ADS)

    Vorholzer, Andreas; von Aufschnaiter, Claudia; Boone, William J.

    2018-02-01

    Inquiry-based teaching is considered as contributing to content-related, procedural, and epistemic learning goals of science education. In this study, a quasi-experimental research design was utilized to investigate to what extent embedding inquiry activities in an explicit and an implicit instructional approach fosters students' ability to engage in three practices of scientific investigation (POSI): (1) formulating questions and hypotheses, (2) planning investigations, (3) analyzing and interpreting data. Both approaches were implemented in a classroom-based intervention conducted in a German upper secondary school (N = 222). Students' procedural knowledge of the three POSI was assessed with a paper-pencil test prior and post to the intervention, their content knowledge and dispositional factors (e.g., cognitive abilities) were gathered once. Results show that not only explicit but also implicit instruction fosters students' knowledge of POSI. While overall explicit instruction was found to be more effective, the findings indicate that the effectiveness depends considerably on the practice addressed. Moreover, findings suggest that both approaches were equally beneficial for all students regardless of their prior content knowledge and their prior procedural knowledge of POSI. Potential conditions for the success of explicit and implicit approaches as well as implications for instruction on POSI in science classrooms and for future research are discussed.

  9. The Effects of Source Credibility in the Presence or Absence of Prior Attitudes: Implications for the Design of Persuasive Communication Campaigns1

    PubMed Central

    Kumkale, G. Tarcan; AlbarracÍn, Dolores; Seignourel, Paul J.

    2011-01-01

    Most theories of persuasion predict that limited ability and motivation to think about communications should increase the impact of source credibility on persuasion. Furthermore, this effect is assumed to occur, regardless of whether or not the recipients have prior attitudes. In this study, the effects of source credibility, ability, and motivation (knowledge, message repetition, relevance) on persuasion were examined meta-analytically across both attitude formation and change conditions. Findings revealed that the Source Credibility × Ability/Motivation interaction emerged only when participants lacked prior attitudes and were unable to form a new attitude based on the message content. In such settings, the effects of source credibility decayed rapidly. The implications of these findings for applied communication campaigns are discussed. PMID:21625405

  10. Undergraduate Students' Ability to Revise Text Effectively: Relationships with Topic Knowledge and Working Memory

    ERIC Educational Resources Information Center

    Adams, Anne-Marie; Simmons, Fiona; Willis, Catherine; Pawling, Ralph

    2010-01-01

    In order to communicate understanding, students are often required to produce texts which present an explicit, coherent argument. This study examined the extent to which individual differences in undergraduates' topic knowledge and working memory skills were related to their ability to revise texts to better fulfil these goals. Forty-seven…

  11. Were Knowledge Management Abilities of University Students Enhanced after Creating Personal Blog-Based Portfolios?

    ERIC Educational Resources Information Center

    Chang, Chi-Cheng; Liang, Chaoyun; Tseng, Kuo-Hung; Tseng, Ju-Shih; Chen, To-Yu

    2013-01-01

    The effect of creating blog-based portfolios on knowledge management (KM) abilities among university students was examined in the present study. Participants included 43 students majoring in Multimedia and Game Science at a University in Taiwan. Students spent nine weeks creating their personal portfolios by using a blog. The "t"-test…

  12. Pharmacy executive leadership issues and associated skills, knowledge, and abilities.

    PubMed

    Meadows, Andrew B; Maine, Lucinda L; Keyes, Elizabeth K; Pearson, Kathy; Finstuen, Kenn

    2005-01-01

    To identify challenges that current and future pharmacy executives are facing or will face in the future and to define what skills, knowledge, and abilities (SKAs) are required to successfully negotiate these challenges. Delphi method for executive decision making. Civilian pharmacy profession. 110 pharmacists who graduated from the GlaxoSmithKline Executive Management Program for Pharmacy Leaders. Two iterations of the Delphi method for executive decision making separated by an expert panel content analysis. Round 1--participants were asked to identify five major issues they believed to be of greatest importance to pharmacy leaders in the next 5-10 years and name specific SKAs that might be needed by future leaders to successfully deal with those issues. An expert panel reviewed the issues, classified issues into specific domains, and titled each domain. Round 2-participants rated the SKAs on a 7-point scale according to their individual assessment of importance in each domain. For Delphi rounds 1 and 2, response rates were 21.8% and 18.2%, respectively. More than 100 total issue statements were identified. The expert panel sorted the issues into five domains: management and development of the pharmacy workforce, pharmacy finance, total quality management of work-flow systems, influences on the practice of pharmacy, and professional pharmacy leadership. Five of the top 15 SKAs-and all four highest ranked items--came from the professional pharmacy leadership domain, including ability to see the big picture, ability to demonstrate the value of pharmacy services, ability to lead and manage in an ethical manner, and skills for influencing an organization's senior leadership. Through successful integration of communication skills, critical thinking, and problem solving techniques, future public-sector pharmacy executives will be better equipped to effectively position their organizations and the profession for the challenges that lie ahead.

  13. Language and Reading Instruction in Early Years' Classrooms: The Knowledge and Self-Rated Ability of Australian Teachers

    ERIC Educational Resources Information Center

    Stark, Hannah L.; Snow, Pamela C.; Eadie, Patricia A.; Goldfeld, Sharon R.

    2016-01-01

    This study sought to investigate the level of knowledge of language constructs in a cohort of Australian teachers and to examine their self-rated ability and confidence in that knowledge. Seventy-eight teachers from schools across the Australian state of Victoria completed a questionnaire which included items from existing measures, as well as…

  14. Medical Writing Competency Model - Section 2: Knowledge, Skills, Abilities, and Behaviors.

    PubMed

    Clemow, David B; Wagner, Bertil; Marshallsay, Christopher; Benau, Dan; L'Heureux, Darryl; Brown, David H; Dasgupta, Devjani Ghosh; Girten, Eileen; Hubbard, Frank; Gawrylewski, Helle-Mai; Ebina, Hiroko; Stoltenborg, Janet; York, J P; Green, Kim; Wood, Linda Fossati; Toth, Lisa; Mihm, Michael; Katz, Nancy R; Vasconcelos, Nina-Maria; Sakiyama, Norihisa; Whitsell, Robin; Gopalakrishnan, Shobha; Bairnsfather, Susan; Wanderer, Tatyana; Schindler, Thomas M; Mikyas, Yeshi; Aoyama, Yumiko

    2018-01-01

    This article provides Section 2 of the 2017 Edition 2 Medical Writing Competency Model that describes the knowledge, skills, abilities, and behaviors that professional medical writers need in order to perform effectively within the life sciences industry. What a medical writer should know, what they should be able to do, and how they should use this knowledge and these skills to facilitate their primary work function is a focus. Regulatory, publication, and other scientific writing as well as management of writing activities are covered. The full Model also includes Section 1, which covers the core work functions and associated tasks and activities related to professional medical writing within the life sciences industry; Section 1 is included in a companion article. The Model was developed to aid medical writers and managers within the life sciences industry regarding medical writing hiring, training, expectation and goal setting, performance evaluation, career development, retention, and role value sharing to cross-functional partners.

  15. Prior Knowledge about Objects Determines Neural Color Representation in Human Visual Cortex.

    PubMed

    Vandenbroucke, A R E; Fahrenfort, J J; Meuwese, J D I; Scholte, H S; Lamme, V A F

    2016-04-01

    To create subjective experience, our brain must translate physical stimulus input by incorporating prior knowledge and expectations. For example, we perceive color and not wavelength information, and this in part depends on our past experience with colored objects ( Hansen et al. 2006; Mitterer and de Ruiter 2008). Here, we investigated the influence of object knowledge on the neural substrates underlying subjective color vision. In a functional magnetic resonance imaging experiment, human subjects viewed a color that lay midway between red and green (ambiguous with respect to its distance from red and green) presented on either typical red (e.g., tomato), typical green (e.g., clover), or semantically meaningless (nonsense) objects. Using decoding techniques, we could predict whether subjects viewed the ambiguous color on typical red or typical green objects based on the neural response of veridical red and green. This shift of neural response for the ambiguous color did not occur for nonsense objects. The modulation of neural responses was observed in visual areas (V3, V4, VO1, lateral occipital complex) involved in color and object processing, as well as frontal areas. This demonstrates that object memory influences wavelength information relatively early in the human visual system to produce subjective color vision. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  16. Can Clinical Scenario Videos Improve Dental Students' Perceptions of the Basic Sciences and Ability to Apply Content Knowledge?

    PubMed

    Miller, Cynthia Jayne; Metz, Michael James

    2015-12-01

    Dental students often have difficulty understanding the importance of basic science classes, such as physiology, for their future careers. To help alleviate this problem, the aim of this study was to create and evaluate a series of video modules using simulated patients and custom-designed animations that showcase medical emergencies in the dental practice. First-year students in a dental physiology course formatively assessed their knowledge using embedded questions in each of the three videos; 108 to 114 of the total 120 first-year students answered the questions, for a 90-95% response rate. These responses indicated that while the students could initially recognize the cause of the medical emergency, they had difficulty in applying their knowledge of physiology to the scenario. In two of the three videos, students drastically improved their ability to answer high-level clinical questions at the conclusion of the video. Additionally, when compared to the previous year of the course, there was a significant improvement in unit exam scores on clinically related questions (6.2% increase). Surveys were administered to the first-year students who participated in the video modules and fourth-year students who had completed the course prior to implementation of any clinical material. The response rate for the first-year students was 96% (115/120) and for the fourth-year students was 57% (68/120). The first-year students indicated a more positive perception of the physiology course and its importance for success on board examinations and their dental career than the fourth-year students. The students perceived that the most positive aspects of the modules were the clear applications of physiology to real-life dental situations, the interactive nature of the videos, and the improved student comprehension of course concepts. These results suggest that online modules may be used successfully to improve students' perceptions of the basic sciences and enhance their ability to

  17. Enhancing the metalinguistic abilities of pre-service teachers via coursework targeting language structure knowledge.

    PubMed

    Purvis, Caralyn J; McNeill, Brigid C; Everatt, John

    2016-04-01

    Low metalinguistic knowledge of pre-service and in-service teachers is likely to restrict the provision of evidence-based literacy instruction in the classroom. Despite such concerns, relatively few studies have examined the effects of teacher preparation coursework in building pre-service teachers' language structure knowledge. This study examined the effects of 7 h of language structure coursework, delivered over 7 weeks, on 121 New Zealand pre-service teachers in their initial year of study. Changes in participants' phonological awareness, morphological awareness, and orthographic knowledge were tracked across the teaching period. The impact of the coursework for participants who presented with strong spelling (n = 24) and poor spelling (n = 24) ability was also compared. The cohort demonstrated significant gains across all measures. Strong spellers responded more favourably to the teaching than poor spellers, even when accounting for initial levels of meta-linguistic knowledge. Implications for the development of teacher preparation programmes that enhance the provision of effective literacy instruction are discussed.

  18. Students' Ability to Apply Their Knowledge in a Gaming Exercise: An Exploratory Study

    ERIC Educational Resources Information Center

    Fuglseth, Anna Mette; Grønhaug, Kjell; Jörnsten, Kurt

    2018-01-01

    This paper reports on a study exploring master students' ability to apply their knowledge when solving an internal pricing problem in a supply chain. Analyses of 33 negotiation progress reports and 8 recordings of discussions demonstrate that most of the students were not able to apply relevant concepts and models to guide their handling of the…

  19. Prior-knowledge-based spectral mixture analysis for impervious surface mapping

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Zhang, Jinshui; He, Chunyang; Zhou, Yuyu

    2014-01-03

    In this study, we developed a prior-knowledge-based spectral mixture analysis (PKSMA) to map impervious surfaces by using endmembers derived separately for high- and low-density urban regions. First, an urban area was categorized into high- and low-density urban areas, using a multi-step classification method. Next, in high-density urban areas that were assumed to have only vegetation and impervious surfaces (ISs), the Vegetation-Impervious model (V-I) was used in a spectral mixture analysis (SMA) with three endmembers: vegetation, high albedo, and low albedo. In low-density urban areas, the Vegetation-Impervious-Soil model (V-I-S) was used in an SMA analysis with four endmembers: high albedo, lowmore » albedo, soil, and vegetation. The fraction of IS with high and low albedo in each pixel was combined to produce the final IS map. The root mean-square error (RMSE) of the IS map produced using PKSMA was about 11.0%, compared to 14.52% using four-endmember SMA. Particularly in high-density urban areas, PKSMA (RMSE = 6.47%) showed better performance than four-endmember (15.91%). The results indicate that PKSMA can improve IS mapping compared to traditional SMA by using appropriately selected endmembers and is particularly strong in high-density urban areas.« less

  20. Comprehension Challenges in the Fourth Grade: The Roles of Text Cohesion, Text Genre, and Readers' Prior Knowledge

    ERIC Educational Resources Information Center

    McNamara, Danielle S.; Ozuru, Yasuhiro; Floyd, Randy G.

    2011-01-01

    We examined young readers' comprehension as a function of text genre (narrative, science), text cohesion (high, low), and readers' abilities (reading decoding skills and world knowledge). The overarching purpose of this study was to contribute to our understanding of the "fourth grade slump". Children in grade 4 read four texts,…

  1. The Development of Children's Ability to Fill the Gaps in Their Knowledge by Consulting Experts

    ERIC Educational Resources Information Center

    Aguiar, Naomi R.; Stoess, Caryn J.; Taylor, Marjorie

    2012-01-01

    This research investigated children's ability to recognize gaps in their knowledge and seek missing information from appropriate informants. In Experiment 1, forty-five 4- and 5-year-olds were adept in assigning questions from 3 domains (medicine, firefighting, and farming) to corresponding experts (doctor, firefighter, or farmer). However, when…

  2. The Role of Knowledge Structures in the Ability of Preservice Elementary Teachers to Diagnose a Child's Understanding of Molecular Kinetics

    ERIC Educational Resources Information Center

    Bischoff, Paul J.

    2006-01-01

    This study explored preservice teachers' (n = 25) knowledge structures and their mastery of content knowledge in relation to their ability to diagnose the strengths and weaknesses of a fourth grader's videotaped explanations of a scientific phenomenon, i.e., molecular kinetic properties of air. Participants' knowledge structures were analyzed…

  3. Network reconstruction based on proteomic data and prior knowledge of protein connectivity using graph theory.

    PubMed

    Stavrakas, Vassilis; Melas, Ioannis N; Sakellaropoulos, Theodore; Alexopoulos, Leonidas G

    2015-01-01

    Modeling of signal transduction pathways is instrumental for understanding cells' function. People have been tackling modeling of signaling pathways in order to accurately represent the signaling events inside cells' biochemical microenvironment in a way meaningful for scientists in a biological field. In this article, we propose a method to interrogate such pathways in order to produce cell-specific signaling models. We integrate available prior knowledge of protein connectivity, in a form of a Prior Knowledge Network (PKN) with phosphoproteomic data to construct predictive models of the protein connectivity of the interrogated cell type. Several computational methodologies focusing on pathways' logic modeling using optimization formulations or machine learning algorithms have been published on this front over the past few years. Here, we introduce a light and fast approach that uses a breadth-first traversal of the graph to identify the shortest pathways and score proteins in the PKN, fitting the dependencies extracted from the experimental design. The pathways are then combined through a heuristic formulation to produce a final topology handling inconsistencies between the PKN and the experimental scenarios. Our results show that the algorithm we developed is efficient and accurate for the construction of medium and large scale signaling networks. We demonstrate the applicability of the proposed approach by interrogating a manually curated interaction graph model of EGF/TNFA stimulation against made up experimental data. To avoid the possibility of erroneous predictions, we performed a cross-validation analysis. Finally, we validate that the introduced approach generates predictive topologies, comparable to the ILP formulation. Overall, an efficient approach based on graph theory is presented herein to interrogate protein-protein interaction networks and to provide meaningful biological insights.

  4. Student Reasoning from Data Tables: Data Interpretation in Light of Student Ability and Prior Belief

    NASA Astrophysics Data System (ADS)

    Bogdan, Abigail Marie

    Here I present my work studying introductory physics students proficiency with the control of variables strategy to evaluate simple data tables. In this research, a primary goal was to identify and to describe the reasoning strategies that students use preferentially when evaluating simple data tables where the control of variables strategy is the normative evaluation strategy. In addition, I aimed to identify and describe the factors that affect students reasoning strategies when analyzing these simple data tables. In a series of experiments, I tested 1,360 introductory physics students, giving them simple tables of experimental data to analyze. Generally, each of the experiments that I conducted had two conditions. In both of these conditions, the data filling the tables was identical; however, in the first condition, the data table was presented in a physical context and students were given a short pre-test to measure their beliefs about the context. In the second condition, the table was given in a more generic context. This was repeated with multiple data tables and physical contexts. In addition to the data table task, students were given several measures of cognitive ability. By using students answers on the pretest about physical context, I was able to measure whether or not each students prior beliefs were consistent with the relationships shown in the data tables. Across all the experiments conducted here, I found that those students whose prior beliefs were consistent with the data were over three times more likely to draw a valid inference from the table than students whose prior beliefs were inconsistent with the data. By further analyzing students responses, I found evidence that this difference in performance could be accounted for by the presence of a belief bias. Students tended to cite data in suboptimal ways, frequently treating their own theories as a source of evidence to be supplemented by or illustrated with examples from the data. Because of

  5. An Investigation of Relationships between Students' Mathematical Problem-Posing Abilities and Their Mathematical Content Knowledge

    ERIC Educational Resources Information Center

    Van Harpen, Xianwei Y.; Presmeg, Norma C.

    2013-01-01

    The importance of students' problem-posing abilities in mathematics has been emphasized in the K-12 curricula in the USA and China. There are claims that problem-posing activities are helpful in developing creative approaches to mathematics. At the same time, there are also claims that students' mathematical content knowledge could be highly…

  6. The use of geospatial technologies to increase students' spatial abilities and knowledge of certain atmospheric science content

    NASA Astrophysics Data System (ADS)

    Hedley, Mikell Lynne

    2008-10-01

    The purpose of the study was to use geospatial technologies to improve the spatial abilities and specific atmospheric science content knowledge of students in high schools and junior highs in primarily high-needs schools. These technologies include remote sensing, geographic information systems, and global positioning systems. The program involved training the teachers in the use of the technologies at a five-day institute. Scientists who use the technologies in their research taught the basics of their use and scientific background. Standards-based activities were used to integrate the technologies in the classroom setting. Students were tested before any instruction in the technologies and then tested two other times. They used the technologies in field data collection and used that data in an inquiry-based project. Their projects were presented at a mini-science conference with scientists, teachers, parents, and other students in attendance. Significant differences were noted from pre-test to second post-test in the test in both the spatial abilities and science section. There was a gain in both spatial abilities and in specific atmospheric science content knowledge.

  7. Influence of Prior Knowledge and Interest on Fourth- and Fifth-Grade Passage Comprehension on the Qualitative Reading Inventory-4

    ERIC Educational Resources Information Center

    Clark, Mary Kristen; Kamhi, Alan G.

    2014-01-01

    Purpose: In 2 experiments, we examined the influence of prior knowledge and interest on 4th- and 5th-grade students' passage comprehension scores on the Qualitative Reading Inventory-4 (QRI-4) and 2 experimenter constructed passages. Method: In Experiment 1, 4th- and 5th-grade students were administered 4 Level 4 passages or 4 Level 5…

  8. Prior Knowledge Activation: How Different Concept Mapping Tasks Lead to Substantial Differences in Cognitive Processes, Learning Outcomes, and Perceived Self-Efficacy

    ERIC Educational Resources Information Center

    Gurlitt, Johannes; Renkl, Alexander

    2010-01-01

    Two experiments investigated the effects of characteristic features of concept mapping used for prior knowledge activation. Characteristic demands of concept mapping include connecting lines representing the relationships between concepts and labeling these lines, specifying the type of the semantic relationships. In the first experiment,…

  9. Discrete Logic Modelling Optimization to Contextualize Prior Knowledge Networks Using PRUNET

    PubMed Central

    Androsova, Ganna; del Sol, Antonio

    2015-01-01

    High-throughput technologies have led to the generation of an increasing amount of data in different areas of biology. Datasets capturing the cell’s response to its intra- and extra-cellular microenvironment allows such data to be incorporated as signed and directed graphs or influence networks. These prior knowledge networks (PKNs) represent our current knowledge of the causality of cellular signal transduction. New signalling data is often examined and interpreted in conjunction with PKNs. However, different biological contexts, such as cell type or disease states, may have distinct variants of signalling pathways, resulting in the misinterpretation of new data. The identification of inconsistencies between measured data and signalling topologies, as well as the training of PKNs using context specific datasets (PKN contextualization), are necessary conditions to construct reliable, predictive models, which are current challenges in the systems biology of cell signalling. Here we present PRUNET, a user-friendly software tool designed to address the contextualization of a PKNs to specific experimental conditions. As the input, the algorithm takes a PKN and the expression profile of two given stable steady states or cellular phenotypes. The PKN is iteratively pruned using an evolutionary algorithm to perform an optimization process. This optimization rests in a match between predicted attractors in a discrete logic model (Boolean) and a Booleanized representation of the phenotypes, within a population of alternative subnetworks that evolves iteratively. We validated the algorithm applying PRUNET to four biological examples and using the resulting contextualized networks to predict missing expression values and to simulate well-characterized perturbations. PRUNET constitutes a tool for the automatic curation of a PKN to make it suitable for describing biological processes under particular experimental conditions. The general applicability of the implemented

  10. Second Language Idiom Learning: The Effects of Lexical Knowledge and Pedagogical Sequencing

    ERIC Educational Resources Information Center

    Zyzik, Eve

    2011-01-01

    This article examines the acquisition of Spanish idioms in a classroom setting that was supplemented with explicit instruction over a 10-week period. The research design manipulated two variables: prior lexical knowledge and idiom organization. Sixty-five second language (L2) learners completed pre- and posttests that measured their ability to…

  11. Obstacles to Using Prior Research and Evaluations.

    ERIC Educational Resources Information Center

    Orwin, Robert G.

    1985-01-01

    The manner in which results and methods are reported influences the ability of the synthesis of prior studies for planning new evaluations. Confidence ratings, coding conventions, and supplemental evidence can partially overcome the difficulties. Planners must acknowledge the influence of their own judgement in using prior research. (Author)

  12. Language knowledge and event knowledge in language use.

    PubMed

    Willits, Jon A; Amato, Michael S; MacDonald, Maryellen C

    2015-05-01

    This paper examines how semantic knowledge is used in language comprehension and in making judgments about events in the world. We contrast knowledge gleaned from prior language experience ("language knowledge") and knowledge coming from prior experience with the world ("world knowledge"). In two corpus analyses, we show that previous research linking verb aspect and event representations have confounded language and world knowledge. Then, using carefully chosen stimuli that remove this confound, we performed four experiments that manipulated the degree to which language knowledge or world knowledge should be salient and relevant to performing a task, finding in each case that participants use the type of knowledge most appropriate to the task. These results provide evidence for a highly context-sensitive and interactionist perspective on how semantic knowledge is represented and used during language processing. Copyright © 2015. Published by Elsevier Inc.

  13. The impact of prior knowledge from participant instructions in a mock crime P300 Concealed Information Test.

    PubMed

    Winograd, Michael R; Rosenfeld, J Peter

    2014-12-01

    In P300-Concealed Information Tests used with mock crime scenarios, the amount of detail revealed to a participant prior to the commission of the mock crime can have a serious impact on a study's validity. We predicted that exposure to crime details through instructions would bias detection rates toward enhanced sensitivity. In a 2 × 2 factorial design, participants were either informed (through mock crime instructions) or naïve as to the identity of a to-be-stolen item, and then either committed (guilty) or did not commit (innocent) the crime. Results showed that prior knowledge of the stolen item was sufficient to cause 69% of innocent-informed participants to be incorrectly classified as guilty. Further, we found a trend toward enhanced detection rate for guilty-informed participants over guilty-naïve participants. Results suggest that revealing details to participants through instructions biases detection rates in the P300-CIT toward enhanced sensitivity. Copyright © 2014 Elsevier B.V. All rights reserved.

  14. Impact of a Required Pharmaceutical Calculations Course on Mathematics Ability and Knowledge Retention

    PubMed Central

    Buring, Shauna M.; Papas, Elizabeth

    2013-01-01

    Objective. To assess doctor of pharmacy (PharmD) students’ mathematics ability by content area before and after completing a required pharmaceutical calculations course and to analyze changes in scores. Methods. A mathematics skills assessment was administered to 2 cohorts of pharmacy students (class of 2013 and 2014) before and after completing a pharmaceutical calculations course. The posttest was administered to the second cohort 6 months after completing the course to assess knowledge retention. Results. Both cohorts performed significantly better on the posttest (cohort 1, 13% higher scores; cohort 2, 15.9% higher scores). Significant improvement on posttest scores was observed in 6 of the 10 content areas for cohorts 1 and 2. Both cohorts scored lower in percentage calculations on the posttest than on the pretest. Conclusions. A required, 1-credit-hour pharmaceutical calculations course improved PharmD students’ overall ability to perform fundamental and application-based calculations. PMID:23966727

  15. Impact of a required pharmaceutical calculations course on mathematics ability and knowledge retention.

    PubMed

    Hegener, Michael A; Buring, Shauna M; Papas, Elizabeth

    2013-08-12

    To assess doctor of pharmacy (PharmD) students' mathematics ability by content area before and after completing a required pharmaceutical calculations course and to analyze changes in scores. A mathematics skills assessment was administered to 2 cohorts of pharmacy students (class of 2013 and 2014) before and after completing a pharmaceutical calculations course. The posttest was administered to the second cohort 6 months after completing the course to assess knowledge retention. Both cohorts performed significantly better on the posttest (cohort 1, 13% higher scores; cohort 2, 15.9% higher scores). Significant improvement on posttest scores was observed in 6 of the 10 content areas for cohorts 1 and 2. Both cohorts scored lower in percentage calculations on the posttest than on the pretest. A required, 1-credit-hour pharmaceutical calculations course improved PharmD students' overall ability to perform fundamental and application-based calculations.

  16. Investigating the Effect of Origami Instruction on Preservice Teachers' Spatial Ability and Geometric Knowledge for Teaching

    ERIC Educational Resources Information Center

    Akayuure, Peter; Asiedu-Addo, S. K.; Alebna, Victor

    2016-01-01

    Whereas origami is said to have pedagogical benefits in geometry education, research is inclusive about its effect on spatial ability and geometric knowledge among preservice teachers. The study investigated the effect of origami instruction on these aspects using pretest posttest quasi-experiment design. The experimental group consisted of 52…

  17. Learning outside the Laboratory: Ability and Non-Ability Influences on Acquiring Political Knowledge

    ERIC Educational Resources Information Center

    Hambrick, David Z.; Meinz, Elizabeth J.; Pink, Jeffrey E.; Pettibone, Jonathan C.; Oswald, Frederick L.

    2010-01-01

    The purpose of this study was to identify sources of individual differences in knowledge acquired under natural conditions. Through its direct influence on background knowledge, crystallized intelligence (Gc) had a major impact on political knowledge, acquired over a period of more than 2 months, but there were independent influences of…

  18. Relations among Conceptual Knowledge, Procedural Knowledge, and Procedural Flexibility in Two Samples Differing in Prior Knowledge

    ERIC Educational Resources Information Center

    Schneider, Michael; Rittle-Johnson, Bethany; Star, Jon R.

    2011-01-01

    Competence in many domains rests on children developing conceptual and procedural knowledge, as well as procedural flexibility. However, research on the developmental relations between these different types of knowledge has yielded unclear results, in part because little attention has been paid to the validity of the measures or to the effects of…

  19. Exploring the Impact of Prior Knowledge and Appropriate Feedback on Students' Perceived Cognitive Load and Learning Outcomes: Animation-Based Earthquakes Instruction

    ERIC Educational Resources Information Center

    Yeh, Ting-Kuang; Tseng, Kuan-Yun; Cho, Chung-Wen; Barufaldi, James P.; Lin, Mei-Shin; Chang, Chun-Yen

    2012-01-01

    The aim of this study was to develop an animation-based curriculum and to evaluate the effectiveness of animation-based instruction; the report involved the assessment of prior knowledge and the appropriate feedback approach, for the purpose of reducing perceived cognitive load and improving learning. The curriculum was comprised of five subunits…

  20. Maternal Knowledge of Nutrition, Problem-Solving Abilities and the Introduction of Complementary Foods into Infants' Diets

    ERIC Educational Resources Information Center

    Hart, Chantelle Nobile; Drotar, Dennis

    2006-01-01

    The purpose of the present study was to identify variables (maternal knowledge and problem-solving ability) associated with the early introduction of complementary foods (i.e. foods other than breastmilk or formula) into infants diets. Ninety-eight primarily African-American mothers who presented to an urban, ambulatory care clinic in the Midwest…

  1. Language knowledge and event knowledge in language use

    PubMed Central

    Willits, Jon A.; Amato, Michael S.; MacDonald, Maryellen C.

    2018-01-01

    This paper examines how semantic knowledge is used in language comprehension and in making judgments about events in the world. We contrast knowledge gleaned from prior language experience (“language knowledge”) and knowledge coming from prior experience with the world (“world knowledge”). In two corpus analyses, we show that previous research linking verb aspect and event representations have confounded language and world knowledge. Then, using carefully chosen stimuli that remove this confound, we performed four experiments that manipulated the degree to which language knowledge or world knowledge should be salient and relevant to performing a task, finding in each case that participants use the type of knowledge most appropriate to the task. These results provide evidence for a highly context-sensitive and interactionist perspective on how semantic knowledge is represented and used during language processing. PMID:25791750

  2. Main Road Extraction from ZY-3 Grayscale Imagery Based on Directional Mathematical Morphology and VGI Prior Knowledge in Urban Areas

    PubMed Central

    Liu, Bo; Wu, Huayi; Wang, Yandong; Liu, Wenming

    2015-01-01

    Main road features extracted from remotely sensed imagery play an important role in many civilian and military applications, such as updating Geographic Information System (GIS) databases, urban structure analysis, spatial data matching and road navigation. Current methods for road feature extraction from high-resolution imagery are typically based on threshold value segmentation. It is difficult however, to completely separate road features from the background. We present a new method for extracting main roads from high-resolution grayscale imagery based on directional mathematical morphology and prior knowledge obtained from the Volunteered Geographic Information found in the OpenStreetMap. The two salient steps in this strategy are: (1) using directional mathematical morphology to enhance the contrast between roads and non-roads; (2) using OpenStreetMap roads as prior knowledge to segment the remotely sensed imagery. Experiments were conducted on two ZiYuan-3 images and one QuickBird high-resolution grayscale image to compare our proposed method to other commonly used techniques for road feature extraction. The results demonstrated the validity and better performance of the proposed method for urban main road feature extraction. PMID:26397832

  3. Effects of Prior Economic Education, Native Language, and Gender on Economic Knowledge of First-Year Students in Higher Education. A Comparative Study between Germany and the USA

    ERIC Educational Resources Information Center

    Brückner, Sebastian; Förster, Manuel; Zlatkin-Troitschanskaia, Olga; Walstad, William B.

    2015-01-01

    The assessment of university students' economic knowledge has become an increasingly important research area within and across countries. Particularly, the different influences of prior education, native language, and gender as some of the main prerequisites on students' economic knowledge have been highlighted since long. However, the findings…

  4. Children's Mathematical Knowledge Prior to Starting School

    ERIC Educational Resources Information Center

    Gervasoni, Ann; Perry, Bob

    2013-01-01

    The introduction of the "Early Years Learning Framework and the Australian Curriculum-Mathematics" in Australian preschools and primary schools has caused early childhood educators to reconsider what may be appropriate levels of mathematics knowledge to expect from children as they start school. This paper reports on initial data from an…

  5. How Word Decoding, Vocabulary and Prior Topic Knowledge Predict Reading Comprehension. A Study of Language-Minority Students in Norwegian Fifth Grade Classrooms

    ERIC Educational Resources Information Center

    Rydland, Veslemoy; Aukrust, Vibeke Grover; Fulland, Helene

    2012-01-01

    This study examined the contribution of word decoding, first-language (L1) and second-language (L2) vocabulary and prior topic knowledge to L2 reading comprehension. For measuring reading comprehension we employed two different reading tasks: Woodcock Passage Comprehension and a researcher-developed content-area reading assignment (the Global…

  6. Object segmentation and recovery via neural oscillators implementing the similarity and prior knowledge gestalt rules.

    PubMed

    Ursino, Mauro; Magosso, Elisa; La Cara, Giuseppe-Emiliano; Cuppini, Cristiano

    2006-09-01

    Object recognition requires the solution of the binding and segmentation problems, i.e., grouping different features to achieve a coherent representation. Synchronization of neural activity in the gamma-band, associated with gestalt perception, has often been proposed as a putative mechanism to solve these problems, not only as to low-level processing, but also in higher cortical functions. In the present work, a network of Wilson-Cowan oscillators is used to segment simultaneous objects, and recover an object from partial or corrupted information, by implementing two gestalt rules: similarity and prior knowledge. The network consists of H different areas, each devoted to representation of a particular feature of the object, according to a topological organization. The similarity law is realized via lateral intra-area connections, arranged as a "Mexican-hat". Prior knowledge is realized via inter-area connections, which link properties belonging to a previously memorized object. A global inhibitor allows segmentation of several objects avoiding interference. Simulation results, performed using three simultaneous input objects, show that the network is able to detect an object even in difficult conditions (i.e., when some features are absent or shifted with respect to the original one). Moreover, the trade-off between sensitivity (capacity to detect true positives) and specificity (capacity to reject false positives) can be controlled acting on the extension of lateral synapses (i.e., on the level of accepted similarity). Finally, the network can also deal with correlated objects, i.e., objects which have some common features. Simulations performed using a different number of objects (2, 3, 4 or 5) suggest that the network is able to segment and recall up to four objects, but the oscillation frequency must increase, the lower the number of objects simultaneously present. The model, although quite simpler compared with neurophysiology, may represent a theoretical

  7. A clinical knowledge measurement tool to assess the ability of community pharmacists to detect drug-related problems.

    PubMed

    Williams, Mackenzie; Peterson, Gregory M; Tenni, Peter C; Bindoff, Ivan K

    2012-08-01

    Drug-related problems (DRPs) are associated with significant morbidity and mortality, with most DRPs thought to be preventable. Community pharmacists can detect and either prevent or resolve many of these DRPs. A survey-based clinical knowledge measurement tool was designed and validated to estimate a community pharmacist's clinical knowledge and ability to detect and appropriately resolve DRPs. Nine clinical cases with seven multiple-choice statements (63 statements in total) were constructed, based on scenarios that were found to occur frequently in Australian community pharmacies. The statements aimed to assess a pharmacist's ability to identify, gather relevant information about and make appropriate recommendations to resolve, a DRP. The survey was pilot tested with 18 academics at three Australian pharmacy schools, resulting in the removal of 23 statements. The survey was then administered to undergraduate pharmacy students (28 fourth-year, 41 third-year and 42 first-year students) and to 433 Australian community pharmacists who were participating in an intervention documentation trial. The pharmacists' resultant survey scores were correlated against their actual rate of documenting clinical interventions. The tool had relatively good internal consistency. Significant differences were seen between the three groups of students (P < 0.01). Community pharmacists with additional clinical qualifications had a significantly higher score than other participating pharmacists (P < 0.01). A moderate, but significant, correlation was seen between the pharmacists' survey score and their clinical intervention rate in practice during the trial (P < 0.01). The clinical knowledge measurement tool appeared to estimate a pharmacist's ability to detect and resolve DRPs within the community pharmacy environment. © 2012 The Authors. IJPP © 2012 Royal Pharmaceutical Society.

  8. Identifying pathogenic processes by integrating microarray data with prior knowledge

    PubMed Central

    2014-01-01

    Background It is of great importance to identify molecular processes and pathways that are involved in disease etiology. Although there has been an extensive use of various high-throughput methods for this task, pathogenic pathways are still not completely understood. Often the set of genes or proteins identified as altered in genome-wide screens show a poor overlap with canonical disease pathways. These findings are difficult to interpret, yet crucial in order to improve the understanding of the molecular processes underlying the disease progression. We present a novel method for identifying groups of connected molecules from a set of differentially expressed genes. These groups represent functional modules sharing common cellular function and involve signaling and regulatory events. Specifically, our method makes use of Bayesian statistics to identify groups of co-regulated genes based on the microarray data, where external information about molecular interactions and connections are used as priors in the group assignments. Markov chain Monte Carlo sampling is used to search for the most reliable grouping. Results Simulation results showed that the method improved the ability of identifying correct groups compared to traditional clustering, especially for small sample sizes. Applied to a microarray heart failure dataset the method found one large cluster with several genes important for the structure of the extracellular matrix and a smaller group with many genes involved in carbohydrate metabolism. The method was also applied to a microarray dataset on melanoma cancer patients with or without metastasis, where the main cluster was dominated by genes related to keratinocyte differentiation. Conclusion Our method found clusters overlapping with known pathogenic processes, but also pointed to new connections extending beyond the classical pathways. PMID:24758699

  9. Using Students' Prior Knowledge to Teach Social Penetration Theory

    ERIC Educational Resources Information Center

    Chornet-Roses, Daniel

    2010-01-01

    Bransford, Brown, and Cocking argue that acknowledging students' prior ideas and beliefs about a subject and incorporating them into the classroom enhances student learning. This article presents an activity which serves to hone three student learning outcomes: analysis of communication, inductive reasoning, and self-reflection. The goal of this…

  10. Creating a Learning Continuum: A Critical Look at the Intersection of Prior Knowledge, Outdoor Education, and Next Generation Science Standards Disciplinary Core Ideas and Practices

    NASA Astrophysics Data System (ADS)

    Schlobohm, Trisha Leigh

    Outdoor School is a cherished educational tradition in the Portland, OR region. This program's success is attributed to its presumed ability to positively impact affective and cognitive student outcomes. Residential programs such as Outdoor School are considered to be an important supplement to the classroom model of learning because they offer an authentic, contextually rich learning environment. References to relevant literature support the idea that student gains in affective and cognitive domains occur as a result of the multi-sensory, enjoyable, hands-on nature of outdoor learning. The sample population for this study was 115 sixth graders from a demographically diverse Portland, OR school district. This study used an instrument developed by the Common Measures System that was administered to students as part of Outdoor School's professional and program development project. The affective student outcome data measured by the Common Measures instrument was complemented by a formative assessment probe ascertaining prior knowledge of the definition of plants and field notes detailing Field Study instructor lesson content. This first part of this study examined the changes that take place in students' attitudes toward science as a result of attending Outdoor School. The second part took a look at how Outdoor School instruction in the Plants field study aligned with NGSS MS-LS Disciplinary Core Ideas and Practices. The third section of the study compared how Outdoor School instruction in the Plants Field Study and students' prior knowledge of what defines a plant aligned with NGSS MS-LS DCIs. The intent of the research was to arrive at a more nuanced understanding of how students' attitudes toward science are influenced by participating in an outdoor education program and contribute to the development of a continuum between classroom and outdoor school learning using Next Generation Science Standards Disciplinary Core Ideas and Practices as a framework. Results of

  11. Why is a Pomegranate an Apple? The Role of Shape, Taxonomic Relatedness, and Prior Lexical Knowledge in Children's Overextensions of "Apple" and "Dog."

    ERIC Educational Resources Information Center

    Gelman, Susan A.; Croft, William; Fu, Panfang; Clausner, Timothy; Gottfried, Gail

    1998-01-01

    Examined how object shape, taxonomic relatedness, and prior lexical knowledge influenced children's overextensions (e.g., referring to pomegranates as apples). Researchers presented items that disentangled the three factors and used a novel comprehension task where children could indicate negative exemplars. Error patterns differed by task and by…

  12. Superposing pure quantum states with partial prior information

    NASA Astrophysics Data System (ADS)

    Dogra, Shruti; Thomas, George; Ghosh, Sibasish; Suter, Dieter

    2018-05-01

    The principle of superposition is an intriguing feature of quantum mechanics, which is regularly exploited in many different circumstances. A recent work [M. Oszmaniec et al., Phys. Rev. Lett. 116, 110403 (2016), 10.1103/PhysRevLett.116.110403] shows that the fundamentals of quantum mechanics restrict the process of superimposing two unknown pure states, even though it is possible to superimpose two quantum states with partial prior knowledge. The prior knowledge imposes geometrical constraints on the choice of input states. We discuss an experimentally feasible protocol to superimpose multiple pure states of a d -dimensional quantum system and carry out an explicit experimental realization for two single-qubit pure states with partial prior information on a two-qubit NMR quantum information processor.

  13. The Effects of Prior Knowledge on Children's Memory and Suggestibility

    ERIC Educational Resources Information Center

    Elischberger, Holger B.

    2005-01-01

    In this study, 5- and 6-year-olds were read a story and asked to recall its details. Two independent factors-prestory knowledge and poststory suggestions-were crossed to examine the effects on children's story recall. The results indicated that prestory social knowledge about the story protagonist as well as academic knowledge relating to the…

  14. The enhancement of mathematical analogical reasoning ability of university students through concept attainment model

    NASA Astrophysics Data System (ADS)

    Angraini, L. M.; Kusumah, Y. S.; Dahlan, J. A.

    2018-05-01

    This study aims to see the enhancement of mathematical analogical reasoning ability of the university students through concept attainment model learning based on overall and Prior Mathematical Knowledge (PMK) and interaction of both. Quasi experiments with the design of this experimental-controlled equivalent group involved 54 of second semester students at the one of State Islamic University. The instrument used is pretest-postest. Kolmogorov-Smirnov test, Levene test, t test, two-way ANOVA test were used to analyse the data. The result of this study includes: (1) The enhancement of the mathematical analogical reasoning ability of the students who gets the learning of concept attainment model is better than the enhancement of the mathematical analogical reasoning ability of the students who gets the conventional learning as a whole and based on PMK; (2) There is no interaction between the learning that is used and PMK on enhancing mathematical analogical reasoning ability.

  15. The Influence of Age-Related Differences in Prior Knowledge and Attentional Refreshing Opportunities on Episodic Memory.

    PubMed

    Loaiza, Vanessa M; Rhodes, Matthew G; Anglin, Julia

    2015-09-01

    The assumption that working memory (WM) is embedded within long-term memory suggests that the effectiveness of switching information between activated states in WM (i.e., attentional refreshing) may depend on whether that information is semantically relevant. Given that older adults often have greater general knowledge than younger adults, age-related deficits in episodic memory (EM) could be ameliorated by studying information that has existing semantic representations compared with unknown information. Younger and older adults completed a modified operation span task that varied the number of refreshing opportunities. The memoranda used were equally known to younger and older adults (neutral words; e.g., father), better known to older adults than younger adults (dated words; e.g., mirth), or unknown to both groups (unknown words; e.g., cobot). Results for immediate and delayed recall indicated an age-related improvement for dated memoranda and no age difference for unknown memoranda. Furthermore, refreshing opportunities predicted delayed recall of neutral memoranda more strongly for younger adults than older adults, whereas older adults' recall advantage for dated memoranda was explained by their prior knowledge and not refreshing opportunities. The results suggest that older adults' EM deficits could potentially be ameliorated by incorporating their superior knowledge to supplement relatively ineffective attentional refreshing in WM. © The Author 2013. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  16. The Effects of Feedback during Exploratory Mathematics Problem Solving: Prior Knowledge Matters

    ERIC Educational Resources Information Center

    Fyfe, Emily R.; Rittle-Johnson, Bethany; DeCaro, Marci S.

    2012-01-01

    Providing exploratory activities prior to explicit instruction can facilitate learning. However, the level of guidance provided during the exploration has largely gone unstudied. In this study, we examined the effects of 1 form of guidance, feedback, during exploratory mathematics problem solving for children with varying levels of prior domain…

  17. Learn and apply: using multi-sensory storytelling to gather knowledge about preferences and abilities of children with profound intellectual and multiple disabilities--three case studies.

    PubMed

    Brug, Annet Ten; Van der Putten, Annette A J; Vlaskamp, Carla

    2013-12-01

    Knowledge about the preferences and abilities of children with profound intellectual and multiple disabilities (PIMDs) is crucial for providing appropriate activities. Multi-sensory storytelling (MSST) can be an ideal activity for gathering such knowledge about children with PIMDs. The aim of this study was to analyse whether using MSST did lead to changes in teachers' knowledge about preferences and abilities and whether this knowledge was then applied in practice. Three dyads of children with PIMDs and their teachers read an MSST book 20 times during a 10-week period. A questionnaire designed to identify the teachers' current knowledge was filled in before the 1st and again after the 10th and 20th reading sessions. Also, the teachers were asked for their opinion about their newly gathered knowledge. In all three cases, changes in the teachers' knowledge were observed. However, teachers are insufficiently aware of their new knowledge and do not apply it in practice.

  18. Novel joint TOA/RSSI-based WCE location tracking method without prior knowledge of biological human body tissues.

    PubMed

    Ito, Takahiro; Anzai, Daisuke; Jianqing Wang

    2014-01-01

    This paper proposes a novel joint time of arrival (TOA)/received signal strength indicator (RSSI)-based wireless capsule endoscope (WCE) location tracking method without prior knowledge of biological human tissues. Generally, TOA-based localization can achieve much higher localization accuracy than other radio frequency-based localization techniques, whereas wireless signals transmitted from a WCE pass through various kinds of human body tissues, as a result, the propagation velocity inside a human body should be different from one in free space. Because the variation of propagation velocity is mainly affected by the relative permittivity of human body tissues, instead of pre-measurement for the relative permittivity in advance, we simultaneously estimate not only the WCE location but also the relative permittivity information. For this purpose, this paper first derives the relative permittivity estimation model with measured RSSI information. Then, we pay attention to a particle filter algorithm with the TOA-based localization and the RSSI-based relative permittivity estimation. Our computer simulation results demonstrates that the proposed tracking methods with the particle filter can accomplish an excellent localization accuracy of around 2 mm without prior information of the relative permittivity of the human body tissues.

  19. Visualizing topography: Effects of presentation strategy, gender, and spatial ability

    NASA Astrophysics Data System (ADS)

    McAuliffe, Carla

    2003-10-01

    This study investigated the effect of different presentation strategies (2-D static visuals, 3-D animated visuals, and 3-D interactive, animated visuals) and gender on achievement, time-spent-on visual treatment, and attitude during a computer-based science lesson about reading and interpreting topographic maps. The study also examined the relationship of spatial ability and prior knowledge to gender, achievement, and time-spent-on visual treatment. Students enrolled in high school chemistry-physics were pretested and given two spatial ability tests. They were blocked by gender and randomly assigned to one of three levels of presentation strategy or the control group. After controlling for the effects of spatial ability and prior knowledge with analysis of covariance, three significant differences were found between the versions: (a) the 2-D static treatment group scored significantly higher on the posttest than the control group; (b) the 3-D animated treatment group scored significantly higher on the posttest than the control group; and (c) the 2-D static treatment group scored significantly higher on the posttest than the 3-D interactive animated treatment group. Furthermore, the 3-D interactive animated treatment group spent significantly more time on the visual screens than the 2-D static treatment group. Analyses of student attitudes revealed that most students felt the landform visuals in the computer-based program helped them learn, but not in a way they would describe as fun. Significant differences in attitude were found by treatment and by gender. In contrast to findings from other studies, no gender differences were found on either of the two spatial tests given in this study. Cognitive load, cognitive involvement, and solution strategy are offered as three key factors that may help explain the results of this study. Implications for instructional design include suggestions about the use of 2-D static, 3-D animated and 3-D interactive animations as well

  20. The development of children's ability to fill the gaps in their knowledge by consulting experts.

    PubMed

    Aguiar, Naomi R; Stoess, Caryn J; Taylor, Marjorie

    2012-01-01

    This research investigated children's ability to recognize gaps in their knowledge and seek missing information from appropriate informants. In Experiment 1, forty-five 4- and 5-year-olds were adept in assigning questions from 3 domains (medicine, firefighting, and farming) to corresponding experts (doctor, firefighter, or farmer). However, when given the options of answering the same questions themselves or assigning them to an expert (Experiment 2), only 6-year-olds were consistently able to recognize when they did not know answers and then assign test questions correctly. Four- and 5-year-olds tended to overestimate their own knowledge or assign questions to the wrong expert. This result was replicated in Experiment 3, in which 5-year-olds were given incentives for correct answers. © 2012 The Authors. Child Development © 2012 Society for Research in Child Development, Inc.

  1. Verbal and nonverbal behavior of ability-grouped dyads

    NASA Astrophysics Data System (ADS)

    Jones, M. Gail; Carter, Glenda

    In this study we describe the social interactions of ability-grouped dyads as they constructed knowledge of balance concepts to elucidate the relationship between interactions and conceptual growth. The verbal and nonverbal behaviors of 30 fifth-grade students were recorded as they completed three activities related to balance. These student interactions were examined within a framework of social cognition. For each dyad, characteristics of ability-grouped dyads were identified. Results revealed that high-achieving students effectively used prior experiences, maintained focus on the learning task, and were able to manipulate the equipment effectively to construct knowledge. Low-achieving students exhibited off-task behavior, lacked a metacognitive framework for organizing the learning tasks, centered on irrelevant features of the equipment, and were unable to use language effectively to mediate learning. Within low-high student dyads, high-achieving students typically modeled thinking processes and strategies for manipulating equipment. In addition, they focused the low-achieving students on the components of the tasks while verbally monitoring their progress, thus enabling low students to identify the critical features necessary for concept construction. These results highlighted the differences that students have in the use of language and tools. Low students' inefficient use of tools has implications for the ways science teachers structure lessons and group students for laboratory work.Received: 8 March 1993; Revised: 6 January 1994;

  2. Conditional reasoning in autism: activation and integration of knowledge and belief.

    PubMed

    McKenzie, Rebecca; Evans, Jonathan St B T; Handley, Simon J

    2010-03-01

    Everyday conditional reasoning is typically influenced by prior knowledge and belief in the form of specific exceptions known as counterexamples. This study explored whether adolescents with autism spectrum disorder (ASD; N = 26) were less influenced by background knowledge than typically developing adolescents (N = 38) when engaged in conditional reasoning. Participants were presented with pretested valid and invalid conditional inferences with varying available counterexamples. The group with ASD showed significantly less influence of prior knowledge on valid inferences (p = .01) and invalid inferences (p = .01) compared with the typical group. In a secondary probability judgment task, no significant group differences were found in probabilistic judgments of the believability of the premises. Further experiments found that results could not be explained by differences between the groups in the ability to generate counterexamples or any tendency among adolescents with ASD to exhibit a "yes" response pattern. It was concluded that adolescents with ASD tend not to spontaneously contextualize presented material when engaged in everyday reasoning. These findings are discussed with reference to weak central coherence theory and the conditional reasoning literature.

  3. Reliability and Validity of the Pediatric Palliative Care Questionnaire for Measuring Self-Efficacy, Knowledge, and Adequacy of Prior Medical Education among Pediatric Fellows

    PubMed Central

    Cohen, Harvey J.; Popat, Rita A.; Halamek, Louis P.

    2015-01-01

    Abstract Background: Interventions to improve pediatric trainee education in palliative care have been limited by a lack of reliable and valid tools for measuring effectiveness. Objective: We developed a questionnaire to measure pediatric fellows' self-efficacy (comfort), knowledge, and perceived adequacy of prior medical education. We measured the questionnaire's reliability and validity. Methods: The questionnaire contains questions regarding self-efficacy (23), knowledge (10), fellow's perceived adequacy of prior medical education (6), and demographics. The survey was developed with palliative care experts, and sent to fellows in U.S. pediatric cardiology, critical care, hematology/ oncology, and neonatal-perinatal medicine programs. Measures of reliability, internal consistency, and validity were calculated. Results: One hundred forty-seven fellows completed the survey at test and retest. The self-efficacy and medical education questionnaires showed high internal consistency of 0.95 and 0.84. The test-retest reliability for the Self-Efficacy Summary Score, measured by intraclass correlation coefficient (ICC) and weighted kappa, was 0.78 (item range 0.44–0.81) and 0.61 (item range 0.36–0.70), respectively. For the Adequacy of Medical Education Summary Score, ICC was 0.85 (item range 0.6–0.78) and weighted kappa was 0.63 (item range 0.47–0.62). Validity coefficients for these two questionnaires were 0.88 and 0.92. Fellows answered a mean of 8.8/10 knowledge questions correctly; percentage agreement ranged from 65% to 99%. Conclusions: This questionnaire is capable of assessing self-efficacy and fellow-perceived adequacy of their prior palliative care training. We recommend use of this tool for fellowship programs seeking to evaluate fellow education in palliative care, or for research studies assessing the effectiveness of a palliative care educational intervention. PMID:26185912

  4. [Patient information prior to sterilization].

    PubMed

    Rasmussen, O V; Henriksen, L O; Baldur, B; Hansen, T

    1992-09-14

    The law in Denmark prescribes that the patient and the general practitioner to whom the patient directs his or her request for sterilization are obliged to confirm by their signatures that the patient has received information about sterilization, its risk and consequences. We asked 97 men and 96 women, if they had received this information prior to their sterilization. They were also asked about their knowledge about sterilization. 54% of the women and 35% of the men indicated that they had not received information. Only few of these wished further information by the hospital doctor. Knowledge about sterilization was good. It is concluded that the information to the patient prior to sterilization is far from optimal. The patients' signature confirming verbal information is not a sufficient safeguard. We recommend, among other things, that the patient should receive written information and that both the general practitioner and the hospital responsible for the operation should ensure that optimal information is received by the patient.

  5. Examining the Inseparability of Content Knowledge from LSP Reading Ability: An Approach Combining Bifactor-Multidimensional Item Response Theory and Structural Equation Modeling

    ERIC Educational Resources Information Center

    Cai, Yuyang; Kunnan, Antony John

    2018-01-01

    This study examined the separability of domain-general and domain-specific content knowledge from Language for Specific Purposes (LSP) reading ability. A pool of 1,491 nursing students in China participated by responding to a nursing English test and a nursing knowledge test. Primary data analysis involved four steps: (a) conducting a…

  6. [Validation of patients' knowledge after informed consent prior to coronary angiography].

    PubMed

    Eran, A; Erdmann, E; Yüksel, D; Dahlem, K M; Er, F

    2011-11-01

    The informed consent of the patient is required before any medical intervention can be done. The impact of the provided information on the subsequent knowledge of the patient is regularly questioned. In the present investigation we aimed to determine the knowledge of the patients about invasive coronary angiography (CA) after they had been optimally vs. standard vs. not at all informed. 300 consecutive patients who were admitted for planned CA were included. Of these, 150 in-patients were informed by especially trained physicians one day before CA and 50 out-patients were informed by their general practitioner or cardiologist several days before admission. 100 in-patients were included before they were informed. In a standardized interview the predefined knowledge of the patients was assessed by an independent physician before CA in previously informed patients and after hospital admission in non-informed patients. The differences in knowledge between informed in- and out-patients were low. Especially their knowledge about potential complications was not different. Generally, patients could remember less serious complications better than life-threatening ones. Two previously informed patients (1 %) affirmed that they were not informed. The knowledge of non-informed patients was much lower than the knowledge of patients who had been informed. The knowledge and remembrance of patients after having detailed information about medical interventions is limited. Optimization of the informative interview did not really improve this knowledge. In contrast to non-informed patients the provided information did, however, increase the knowledge. © Georg Thieme Verlag KG Stuttgart · New York.

  7. The effect of expert knowledge on medical search: medical experts have specialized abilities for detecting serious lesions.

    PubMed

    Nakashima, Ryoichi; Watanabe, Chisaki; Maeda, Eriko; Yoshikawa, Takeharu; Matsuda, Izuru; Miki, Soichiro; Yokosawa, Kazuhiko

    2015-09-01

    How does domain-specific knowledge influence the experts' performance in their domain of expertise? Specifically, can visual search experts find, with uniform efficiency, any type of target in their domain of expertise? We examined whether acquired knowledge of target importance influences an expert's visual search performance. In some professional searches (e.g., medical screenings), certain targets are rare; one aim of this study was to examine the extent to which experts miss such targets in their searches. In one experiment, radiologists (medical experts) engaged in a medical lesion search task in which both the importance (i.e., seriousness/gravity) and the prevalence of targets varied. Results showed decreased target detection rates in the low prevalence conditions (i.e., the prevalence effect). Also, experts were better at detecting important (versus unimportant) lesions. Results of an experiment using novices ruled out the possibility that decreased performance with unimportant targets was due to low target noticeability/visibility. Overall, the findings suggest that radiologists do not have a generalized ability to detect any type of lesion; instead, they have acquired a specialized ability to detect only those important lesions relevant for effective medical practices.

  8. Effects of diabetic case management on knowledge, self-management abilities, health behaviors, and health service utilization for diabetes in Korea.

    PubMed

    Shin, Soon Ae; Kim, Hyeongsu; Lee, Kunsei; Lin, Vivian; Liu, George; Shin, Eunyoung

    2015-01-01

    This study aimed to evaluate the effects of a case management program for diabetics, using a pre-post comparison design. The study population comprised 6007 diabetics who received case management intervention in 2006 and were sampled nationwide in Korea. Before and after the intervention, the study population answered questions regarding their knowledge of diabetes, self-management ability, and health behaviors. Body mass index (BMI) was also calculated. Healthcare service utilization for diabetes was extracted from health insurance claim data from 2005 to 2007. The case management program significantly improved the study population's knowledge of diabetes and ability to self-manage nutrition, blood glucose monitoring, foot and oral care, and medications. This program also significantly changed the study population's health behaviors regarding smoking, alcohol drinking, and exercise, and BMI was positively affected. In the over-serviced subgroup, there was a significant decrease in the number of consultations (mean=7.0; SD=19.5) after intervention. Conversely, in the under-serviced subgroup, there was a significant increase in the number of consultations (mean=3.2; SD=7.9) and the days of prescribed medication (mean=66.4; SD=120.3) after intervention. This study showed that the case management program led the study population to improve their knowledge, self-management ability, health behaviors, and utilization of health care. It is necessary in future studies to evaluate the appropriateness of healthcare usage and clinical outcome by using a control group to determine the direct effectiveness of this case management program.

  9. Stepwise group sparse regression (SGSR): gene-set-based pharmacogenomic predictive models with stepwise selection of functional priors.

    PubMed

    Jang, In Sock; Dienstmann, Rodrigo; Margolin, Adam A; Guinney, Justin

    2015-01-01

    Complex mechanisms involving genomic aberrations in numerous proteins and pathways are believed to be a key cause of many diseases such as cancer. With recent advances in genomics, elucidating the molecular basis of cancer at a patient level is now feasible, and has led to personalized treatment strategies whereby a patient is treated according to his or her genomic profile. However, there is growing recognition that existing treatment modalities are overly simplistic, and do not fully account for the deep genomic complexity associated with sensitivity or resistance to cancer therapies. To overcome these limitations, large-scale pharmacogenomic screens of cancer cell lines--in conjunction with modern statistical learning approaches--have been used to explore the genetic underpinnings of drug response. While these analyses have demonstrated the ability to infer genetic predictors of compound sensitivity, to date most modeling approaches have been data-driven, i.e. they do not explicitly incorporate domain-specific knowledge (priors) in the process of learning a model. While a purely data-driven approach offers an unbiased perspective of the data--and may yield unexpected or novel insights--this strategy introduces challenges for both model interpretability and accuracy. In this study, we propose a novel prior-incorporated sparse regression model in which the choice of informative predictor sets is carried out by knowledge-driven priors (gene sets) in a stepwise fashion. Under regularization in a linear regression model, our algorithm is able to incorporate prior biological knowledge across the predictive variables thereby improving the interpretability of the final model with no loss--and often an improvement--in predictive performance. We evaluate the performance of our algorithm compared to well-known regularization methods such as LASSO, Ridge and Elastic net regression in the Cancer Cell Line Encyclopedia (CCLE) and Genomics of Drug Sensitivity in Cancer (Sanger

  10. Minimally Informative Prior Distributions for PSA

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Dana L. Kelly; Robert W. Youngblood; Kurt G. Vedros

    2010-06-01

    A salient feature of Bayesian inference is its ability to incorporate information from a variety of sources into the inference model, via the prior distribution (hereafter simply “the prior”). However, over-reliance on old information can lead to priors that dominate new data. Some analysts seek to avoid this by trying to work with a minimally informative prior distribution. Another reason for choosing a minimally informative prior is to avoid the often-voiced criticism of subjectivity in the choice of prior. Minimally informative priors fall into two broad classes: 1) so-called noninformative priors, which attempt to be completely objective, in that themore » posterior distribution is determined as completely as possible by the observed data, the most well known example in this class being the Jeffreys prior, and 2) priors that are diffuse over the region where the likelihood function is nonnegligible, but that incorporate some information about the parameters being estimated, such as a mean value. In this paper, we compare four approaches in the second class, with respect to their practical implications for Bayesian inference in Probabilistic Safety Assessment (PSA). The most commonly used such prior, the so-called constrained noninformative prior, is a special case of the maximum entropy prior. This is formulated as a conjugate distribution for the most commonly encountered aleatory models in PSA, and is correspondingly mathematically convenient; however, it has a relatively light tail and this can cause the posterior mean to be overly influenced by the prior in updates with sparse data. A more informative prior that is capable, in principle, of dealing more effectively with sparse data is a mixture of conjugate priors. A particular diffuse nonconjugate prior, the logistic-normal, is shown to behave similarly for some purposes. Finally, we review the so-called robust prior. Rather than relying on the mathematical abstraction of entropy, as does the

  11. An Analysis of the Changes in Ability and Knowledge of Students Taking A-Level Physics and Mathematics over a 35 Year Period

    ERIC Educational Resources Information Center

    Barham, Peter J.

    2012-01-01

    New undergraduate students arriving to study physics at the University of Bristol from 1975 onwards have all taken the same test of their knowledge and understanding of physics and mathematics. Many of the questions test knowledge of material that has been in the A-level syllabus for maths or physics throughout this period. The ability of incoming…

  12. Uncovering and Informing Preservice Teachers' Prior Knowledge about Poverty

    ERIC Educational Resources Information Center

    Mundy, Charlotte Anne; Leko, Melinda Marie

    2015-01-01

    This study explored 30 preservice teachers' knowledge on issues related to poverty. In an open-ended questionnaire, preservice teachers' perceptions of poverty and how teachers should respond to students from poverty were explored. Results indicated that preservice teachers' knowledge was nonspecific and lacked focus on the relationship among…

  13. Epigenetic priors for identifying active transcription factor binding sites.

    PubMed

    Cuellar-Partida, Gabriel; Buske, Fabian A; McLeay, Robert C; Whitington, Tom; Noble, William Stafford; Bailey, Timothy L

    2012-01-01

    Accurate knowledge of the genome-wide binding of transcription factors in a particular cell type or under a particular condition is necessary for understanding transcriptional regulation. Using epigenetic data such as histone modification and DNase I, accessibility data has been shown to improve motif-based in silico methods for predicting such binding, but this approach has not yet been fully explored. We describe a probabilistic method for combining one or more tracks of epigenetic data with a standard DNA sequence motif model to improve our ability to identify active transcription factor binding sites (TFBSs). We convert each data type into a position-specific probabilistic prior and combine these priors with a traditional probabilistic motif model to compute a log-posterior odds score. Our experiments, using histone modifications H3K4me1, H3K4me3, H3K9ac and H3K27ac, as well as DNase I sensitivity, show conclusively that the log-posterior odds score consistently outperforms a simple binary filter based on the same data. We also show that our approach performs competitively with a more complex method, CENTIPEDE, and suggest that the relative simplicity of the log-posterior odds scoring method makes it an appealing and very general method for identifying functional TFBSs on the basis of DNA and epigenetic evidence. FIMO, part of the MEME Suite software toolkit, now supports log-posterior odds scoring using position-specific priors for motif search. A web server and source code are available at http://meme.nbcr.net. Utilities for creating priors are at http://research.imb.uq.edu.au/t.bailey/SD/Cuellar2011. t.bailey@uq.edu.au Supplementary data are available at Bioinformatics online.

  14. Use of Assessments in College Chemistry Courses: Examining Students' Prior Conceptual Knowledge, Chemistry Self-efficacy, and Attitude

    NASA Astrophysics Data System (ADS)

    Villafane-Garcia, Sachel M.

    Students' retention in STEM-related careers is of great concern for educators and researchers, especially the retention of underrepresented groups such as females, Hispanics, and Blacks in these careers. Therefore it is important to study factors that could potentially influence students' decision to stay in STEM. The work described in this dissertation involved three research studies where assessments have been used in college chemistry courses to assess students' prior content knowledge, chemistry-self-efficacy, and attitude toward science. These three factors have been suggested to have an influence on students' performance in a course and could eventually be a retention factor. The first research study involved the development and use of an instrument to measure biochemistry prior knowledge of foundational concepts from chemistry and biology that are considered important for biochemistry learning. This instrument was developed with a parallel structure where three items were used to measure a concept and common incorrect ideas were used as distractors. The specific structure of this instrument allows the identification of common incorrect ideas that students have when entering biochemistry and that can hinder students' learning of biochemistry concepts. This instrument was given as pre/posttest to students enrolled in introductory biochemistry courses. The findings indicated that some incorrect ideas are persistent even after instruction, as is the case for bond energy and the structure of the alpha helix concepts. This study highlights the importance of measuring prior conceptual knowledge; so that instructors can plan interventions to help students overcome their incorrect ideas. For the second research study, students' chemistry self-efficacy was measured five times during a semester of preparatory college chemistry. Chemistry self-efficacy beliefs have been linked to students' achievement, and students with stronger self-efficacy are more likely to try

  15. Effects of Type of Exploratory Strategy and Prior Knowledge on Middle School Students' Learning of Chemical Formulas from a 3D Role-Playing Game

    ERIC Educational Resources Information Center

    Chen, Ming-Puu; Wong, Yu-Ting; Wang, Li-Chun

    2014-01-01

    The purpose of this study was to examine the effects of the type of exploratory strategy and level of prior knowledge on middle school students' performance and motivation in learning chemical formulas via a 3D role-playing game (RPG). Two types of exploratory strategies-RPG exploratory with worked-example and RPG exploratory without…

  16. Knowledge, Skills, and Abilities for the Market Economy: An Investigation of Student Perceptions before and after China's WTO Entry

    ERIC Educational Resources Information Center

    Stivers, Bonnie P.; Veliyath, Raj; Joyce, Teresa; Adams, Janet S.

    2010-01-01

    This exploratory study conducted in the People's Republic of China sought to determine the managerial knowledge, skills, and abilities (KSAs) that are perceived as important for the Chinese market economy. Questionnaire responses were collected from 145 business students in 2001 (before China's WTO entry) and 141 business students in 2006 (after…

  17. Knowledge, Skills and Abilities of International Business Majors: What We Teach Them "versus" What Companies Need Them to Know

    ERIC Educational Resources Information Center

    Prestwich, Roger; Ho-Kim, Thu-Mai

    2007-01-01

    To compete in a global environment, firms need people with the appropriate international knowledge, skills and abilities (KSA). Undergraduate international business (IB) majors may not be taught the specific KSA that match those business needs. This study surveyed the most active international companies in Minnesota (USA) that had recently hired…

  18. Pre-service teacher professional development on climate change: Assessment of workshop success and influence of prior knowledge

    NASA Astrophysics Data System (ADS)

    Veron, D. E.; Ad-Marbach, G.; Fox-Lykens, R.; Ozbay, G.; Sezen-Barrie, A.; Wolfson, J.

    2017-12-01

    As states move to adopt the next generation science standards, in-service teachers are being provided with professional development that introduces climate change content and best practices for teaching climate change in the classroom. However, research has shown that it is challenging to bring this information into the higher education curriculum in education courses for pre-service teachers due to curricular and programming constraints. Over two years, the Maryland and Delaware Climate Change Assessment and Research (MADE-CLEAR) project explored a professional development approach for pre-service teachers which employed paired workshops that resulted in participant-developed lesson plans based on climate change content. The workshops were designed to provide pre-service teachers with climate change content related to the carbon cycle and to model a variety of techniques and activities for presenting this information in the classroom. Lesson plans were developed between the first and second workshop, presented at the second workshop and discussed with peers and in-service teachers, and then revised in response to feedback from the second workshop. Participant climate change content knowledge was assessed before the first workshop, and after the final revision of the lesson plan was submitted to the MADE-CLEAR team. Climate content knowledge was also assessed using the same survey for additional pre-service teacher groups who did not participate in the professional development. Results show that while the paired workshop approach increased climate content knowledge, the amount of improvement varied depending on the participants' prior knowledge in climate change content. In addition, some alternate conceptions of climate change were not altered by participant involvement in the professional development approach. Revised lesson plans showed understanding of underlying climate change impacts and demonstrated awareness of appropriate techniques for introducing this

  19. When being a girl matters less: accessibility of gender-related self-knowledge in single-sex and coeducational classes and its impact on students' physics-related self-concept of ability.

    PubMed

    Kessels, Ursula; Hannover, Bettina

    2008-06-01

    Establishing or preserving single-sex schooling has been widely discussed as a way of bringing more girls into the natural sciences. We test the assumption that the beneficial effects of single-sex education on girls' self-concept of ability in masculine subjects such as physics are due to the lower accessibility of gender-related self-knowledge in single-sex classes. N=401 eighth-graders (mean age 14.0 years) from coeducational comprehensive schools. Random assignment of students to single-sex vs. coeducational physics classes throughout the eighth grade. At the end of the year, students' physics-related self-concept of ability was measured using a questionnaire. In a subsample of N=134 students, the accessibility of gender-related self-knowledge during physics classes was assessed by measuring latencies and endorsement of sex-typed trait adjectives. Girls from single-sex physics classes reported a better physics-related self-concept of ability than girls from coeducational classes, while boys' self-concept of ability did not vary according to class composition. For both boys and girls, gender-related self-knowledge was less accessible in single-sex classes than in mixed-sex classes. To the extent that girls' feminine self-knowledge was relatively less accessible than their masculine self-knowledge, their physics-related self-concept of ability improved at the end of the school year. By revealing the importance of the differential accessibility of gender-related self-knowledge in single- and mixed-sex settings, our study clarifies why single-sex schooling helps adolescents to gain a better self-concept of ability in school subjects that are considered inappropriate for their own sex.

  20. Effects of Diabetic Case Management on Knowledge, Self-Management Abilities, Health Behaviors, and Health Service Utilization for Diabetes in Korea

    PubMed Central

    Shin, Soon Ae; Lee, Kunsei; Lin, Vivian; Liu, George; Shin, Eunyoung

    2015-01-01

    Purpose This study aimed to evaluate the effects of a case management program for diabetics, using a pre-post comparison design. Materials and Methods The study population comprised 6007 diabetics who received case management intervention in 2006 and were sampled nationwide in Korea. Before and after the intervention, the study population answered questions regarding their knowledge of diabetes, self-management ability, and health behaviors. Body mass index (BMI) was also calculated. Healthcare service utilization for diabetes was extracted from health insurance claim data from 2005 to 2007. Results The case management program significantly improved the study population's knowledge of diabetes and ability to self-manage nutrition, blood glucose monitoring, foot and oral care, and medications. This program also significantly changed the study population's health behaviors regarding smoking, alcohol drinking, and exercise, and BMI was positively affected. In the over-serviced subgroup, there was a significant decrease in the number of consultations (mean=7.0; SD=19.5) after intervention. Conversely, in the under-serviced subgroup, there was a significant increase in the number of consultations (mean=3.2; SD=7.9) and the days of prescribed medication (mean=66.4; SD=120.3) after intervention. Conclusion This study showed that the case management program led the study population to improve their knowledge, self-management ability, health behaviors, and utilization of health care. It is necessary in future studies to evaluate the appropriateness of healthcare usage and clinical outcome by using a control group to determine the direct effectiveness of this case management program. PMID:25510771

  1. Marginally specified priors for non-parametric Bayesian estimation

    PubMed Central

    Kessler, David C.; Hoff, Peter D.; Dunson, David B.

    2014-01-01

    Summary Prior specification for non-parametric Bayesian inference involves the difficult task of quantifying prior knowledge about a parameter of high, often infinite, dimension. A statistician is unlikely to have informed opinions about all aspects of such a parameter but will have real information about functionals of the parameter, such as the population mean or variance. The paper proposes a new framework for non-parametric Bayes inference in which the prior distribution for a possibly infinite dimensional parameter is decomposed into two parts: an informative prior on a finite set of functionals, and a non-parametric conditional prior for the parameter given the functionals. Such priors can be easily constructed from standard non-parametric prior distributions in common use and inherit the large support of the standard priors on which they are based. Additionally, posterior approximations under these informative priors can generally be made via minor adjustments to existing Markov chain approximation algorithms for standard non-parametric prior distributions. We illustrate the use of such priors in the context of multivariate density estimation using Dirichlet process mixture models, and in the modelling of high dimensional sparse contingency tables. PMID:25663813

  2. The correlation between ostomy knowledge and self-care ability with psychosocial adjustment in Chinese patients with a permanent colostomy: a descriptive study .

    PubMed

    Cheng, Fang; Meng, Ai-feng; Yang, Li-Fang; Zhang, Yi-nan

    2013-07-01

    A colostomy can have a negative impact on patient quality of life. Research suggests that psychosocial adaptation is positively associated with quality of life, but few reports address this adaptation and its related factors in patients with a permanent colostomy. A 4-month, descriptive study was conducted to assess the impact of ostomy knowledge and ability to self-care on the psychosocial adjustment of 54 Chinese outpatients (47 men, 14 participants 40 to 50 years old, 40 participants 50 to 70 years old) with a permanent colostomy to investigate the correlation between stoma knowledge, self-care ability, and psychosocial adjustment. Assessment instruments included a sociodemographic data questionnaire and a Chinese translation of the Ostomy Adjustment Inventory-23 that comprises 20 items in three domains (positive emotions, negative emotions, and social life). Participants rated statements on a scale from 0 (totally disagree) to 4 (totally agree); a score of 40 indicates a low level of psychosocial adjustment. Participants also completed the Stoma-related Knowledge Scale, comprising 14 5-point Likert scale questions where low scores indicate low knowledge, and they answered one question regarding self-care ability. Data were analyzed using statistical software for social science. The average stoma-related knowledge score suggested moderate levels of knowledge (45.112 ± 13.358). Twenty (20) participants managed all stoma care aspects independently, 30 required some assistance, and four (4) required care by someone else. The three domains of psychosocial adjustment scores (positive emotions, negative emotions, and social life) were 17.60 ± 4.093,12.92 ± 3.440, and 19.15 ± 6.316, respectively. Knowledge and the three domains of psychosocial adjustment were positively correlated with positive emotion (r = .610, P = 0.001), negative emotion (r = .696, P = 0.000), and social life adjustment (r = .617, P = 0.001). A significant difference in psychosocial adjustment

  3. Absolute Thickness Measurements on Coatings Without Prior Knowledge of Material Properties Using Terahertz Energy

    NASA Technical Reports Server (NTRS)

    Roth, Don J.; Cosgriff, Laura M.; Harder, Bryan; Zhu, Dongming; Martin, Richard E.

    2013-01-01

    This study investigates the applicability of a novel noncontact single-sided terahertz electromagnetic measurement method for measuring thickness in dielectric coating systems having either dielectric or conductive substrate materials. The method does not require knowledge of the velocity of terahertz waves in the coating material. The dielectric coatings ranged from approximately 300 to 1400 m in thickness. First, the terahertz method was validated on a bulk dielectric sample to determine its ability to precisely measure thickness and density variation. Then, the method was studied on simulated coating systems. One simulated coating consisted of layered thin paper samples of varying thicknesses on a ceramic substrate. Another simulated coating system consisted of adhesive-backed Teflon adhered to conducting and dielectric substrates. Alumina samples that were coated with a ceramic adhesive layer were also investigated. Finally, the method was studied for thickness measurement of actual thermal barrier coatings (TBC) on ceramic substrates. The unique aspects and limitations of this method for thickness measurements are discussed.

  4. Erythro-Myeloid Progenitors: “definitive” hematopoiesis in the conceptus prior to the emergence of hematopoietic stem cells

    PubMed Central

    Frame, Jenna M.; McGrath, Kathleen E.; Palis, James

    2013-01-01

    Erythro-myeloid progenitors (EMP) serve as a major source of hematopoiesis in the developing conceptus prior to the formation of a permanent blood system. In this review, we summarize the current knowledge regarding the emergence, fate, and potential of this hematopoietic stem cell (HSC)-independent wave of hematopoietic progenitors, focusing on the murine embryo as a model system. A better understanding of the temporal and spatial control of hematopoietic emergence in the embryo will ultimately improve our ability to derive hematopoietic stem and progenitor cells from embryonic stem cells and induced pluripotent stem cells to serve therapeutic purposes. PMID:24095199

  5. The Role of Frontal Cortical and Medial-Temporal Lobe Brain Areas in Learning a Bayesian Prior Belief on Reversals

    PubMed Central

    Jang, Anthony I.; Costa, Vincent D.; Rudebeck, Peter H.; Chudasama, Yogita; Murray, Elisabeth A.

    2015-01-01

    Reversal learning has been extensively studied across species as a task that indexes the ability to flexibly make and reverse deterministic stimulus–reward associations. Although various brain lesions have been found to affect performance on this task, the behavioral processes affected by these lesions have not yet been determined. This task includes at least two kinds of learning. First, subjects have to learn and reverse stimulus–reward associations in each block of trials. Second, subjects become more proficient at reversing choice preferences as they experience more reversals. We have developed a Bayesian approach to separately characterize these two learning processes. Reversal of choice behavior within each block is driven by a combination of evidence that a reversal has occurred, and a prior belief in reversals that evolves with experience across blocks. We applied the approach to behavior obtained from 89 macaques, comprising 12 lesion groups and a control group. We found that animals from all of the groups reversed more quickly as they experienced more reversals, and correspondingly they updated their prior beliefs about reversals at the same rate. However, the initial values of the priors that the various groups of animals brought to the task differed significantly, and it was these initial priors that led to the differences in behavior. Thus, by taking a Bayesian approach we find that variability in reversal-learning performance attributable to different neural systems is primarily driven by different prior beliefs about reversals that each group brings to the task. SIGNIFICANCE STATEMENT The ability to use prior knowledge to adapt choice behavior is critical for flexible decision making. Reversal learning is often studied as a form of flexible decision making. However, prior studies have not identified which brain regions are important for the formation and use of prior beliefs to guide choice behavior. Here we develop a Bayesian approach that

  6. Toward Independent L2 Readers: Effects of Text Adjuncts, Subject Knowledge, L1 Reading, and L2 Proficiency

    ERIC Educational Resources Information Center

    Brantmeier, Cindy; Hammadou Sullivan, JoAnn; Strube, Michael

    2014-01-01

    With 97 learners in an advanced Spanish course, the study examines the effects of textual enhancement adjuncts, prior subject knowledge, first language (L1) reading ability, and second language (L2) Spanish proficiency on L2 comprehension of scientific passages. Readings included two texts with two types of embedded questions: a pause or written…

  7. Prior schemata transfer as an account for assessing the intuitive use of new technology.

    PubMed

    Fischer, Sandrine; Itoh, Makoto; Inagaki, Toshiyuki

    2015-01-01

    New devices are considered intuitive when they allow users to transfer prior knowledge. Drawing upon fundamental psychology experiments that distinguish prior knowledge transfer from new schema induction, a procedure was specified for assessing intuitive use. This procedure was tested with 31 participants who, prior to using an on-board computer prototype, studied its screenshots in reading vs. schema induction conditions. Distinct patterns of transfer or induction resulted for features of the prototype whose functions were familiar or unfamiliar, respectively. Though moderated by participants' cognitive style, these findings demonstrated a means for quantitatively assessing transfer of prior knowledge as the operation that underlies intuitive use. Implications for interface evaluation and design, as well as potential improvements to the procedure, are discussed. Copyright © 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  8. Effects of Process-Oriented and Product-Oriented Worked Examples and Prior Knowledge on Learner Problem Solving and Attitude: A Study in the Domain of Microeconomics

    ERIC Educational Resources Information Center

    Brooks, Christopher Darren

    2009-01-01

    The purpose of this study was to investigate the effectiveness of process-oriented and product-oriented worked example strategies and the mediating effect of prior knowledge (high versus low) on problem solving and learner attitude in the domain of microeconomics. In addition, the effect of these variables on learning efficiency as well as the…

  9. Cognitive Effects of Bilingualism: Digging Deeper for the Contributions of Language Dominance, Linguistic Knowledge, Socio-Economic Status and Cognitive Abilities

    ERIC Educational Resources Information Center

    Mueller Gathercole, Virginia C.; Thomas, Enlli Mon; Jones, Leah; Guasch, Nestor Vinas; Young, Nia; Hughes, Emma K.

    2010-01-01

    This study explores the extent to which a bilingual advantage can be observed for executive function tasks in children of varying levels of language dominance, and examines the contributions of general cognitive knowledge, linguistic abilities, language use and socio-economic level to performance. Welsh-English bilingual and English monolingual…

  10. Reducing scan angle using adaptive prior knowledge for a limited-angle intrafraction verification (LIVE) system for conformal arc radiotherapy.

    PubMed

    Zhang, Yawei; Yin, Fang-Fang; Zhang, You; Ren, Lei

    2017-05-07

    The purpose of this study is to develop an adaptive prior knowledge guided image estimation technique to reduce the scan angle needed in the limited-angle intrafraction verification (LIVE) system for 4D-CBCT reconstruction. The LIVE system has been previously developed to reconstruct 4D volumetric images on-the-fly during arc treatment for intrafraction target verification and dose calculation. In this study, we developed an adaptive constrained free-form deformation reconstruction technique in LIVE to further reduce the scanning angle needed to reconstruct the 4D-CBCT images for faster intrafraction verification. This technique uses free form deformation with energy minimization to deform prior images to estimate 4D-CBCT based on kV-MV projections acquired in extremely limited angle (orthogonal 3°) during the treatment. Note that the prior images are adaptively updated using the latest CBCT images reconstructed by LIVE during treatment to utilize the continuity of the respiratory motion. The 4D digital extended-cardiac-torso (XCAT) phantom and a CIRS 008A dynamic thoracic phantom were used to evaluate the effectiveness of this technique. The reconstruction accuracy of the technique was evaluated by calculating both the center-of-mass-shift (COMS) and 3D volume-percentage-difference (VPD) of the tumor in reconstructed images and the true on-board images. The performance of the technique was also assessed with varied breathing signals against scanning angle, lesion size, lesion location, projection sampling interval, and scanning direction. In the XCAT study, using orthogonal-view of 3° kV and portal MV projections, this technique achieved an average tumor COMS/VPD of 0.4  ±  0.1 mm/5.5  ±  2.2%, 0.6  ±  0.3 mm/7.2  ±  2.8%, 0.5  ±  0.2 mm/7.1  ±  2.6%, 0.6  ±  0.2 mm/8.3  ±  2.4%, for baseline drift, amplitude variation, phase shift, and patient breathing signal variation

  11. What Next? Promoting Alternatives to Ability Grouping.

    ERIC Educational Resources Information Center

    Wheelock, Anne; Hawley, Willis D.

    With new knowledge and tools at their disposal, educators at all levels are exploring alternatives to ability grouping in order to improve schooling for all students. Bringing about positive results requires the development and utilization of knowledge about how ability grouping affects schools, exploration of beliefs that support grouping, and…

  12. `She Has to Drink Blood of the Snake': Culture and prior knowledge in science|health education

    NASA Astrophysics Data System (ADS)

    Bricker, Leah A.; Reeve, Suzanne; Bell, Philip

    2014-06-01

    In this analysis, we argue that science education should attend more deeply to youths' cultural resources and practices (e.g. material, social, and intellectual). Inherent in our argument is a call for revisiting conceptions of 'prior knowledge' to theorize how people make sense of the complex ecologies of experience, ideas, and cultural practices that undergird any learning moment. We illustrate our argument using examples from the domain of personal health, chosen because of its tremendous societal impact and its significant areas of overlap with biology, chemistry, physics, and other scientific disciplines taught as core subjects in schools. Using data from a team ethnography of young people's science and technology learning across settings and over developmental timescales, we highlight two youths' experiences and understandings related to personal health, and how those experiences and understandings influenced the youths' sense-making about the natural world. We then discuss the implications of our argument for science education.

  13. Medical student knowledge and attitudes regarding ECT prior to and after viewing ECT scenes from movies.

    PubMed

    Walter, Garry; McDonald, Andrew; Rey, Joseph M; Rosen, Alan

    2002-03-01

    We surveyed samples of medical students in the United Kingdom (U.K.) and Australia, prior to their psychiatry placement, to ascertain views about electroconvulsive therapy (ECT) and the effect on those views of watching ECT scenes in movies. A 26-item questionnaire was constructed by the authors and administered to the students. At set times during the questionnaire, students were asked to view five movie clips showing, or making reference to, ECT. The clips were from Return to Oz, The Hudsucker Proxy, Ordinary People, One Flew Over the Cuckoo's Nest, and Beverly Hillbillies. Ninety-four students participated in the study. Levels of knowledge about the indications, side effects, and mode of administration were poor, and attitudes were generally negative. Viewing the ECT scenes influenced attitudes toward the treatment; after viewing, one-third of the students decreased their support for ECT, and the proportion of students who would dissuade a family member or friend from having ECT rose from less than 10% to almost 25%.

  14. Prior-based artifact correction (PBAC) in computed tomography

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Heußer, Thorsten, E-mail: thorsten.heusser@dkfz-heidelberg.de; Brehm, Marcus; Ritschl, Ludwig

    2014-02-15

    Purpose: Image quality in computed tomography (CT) often suffers from artifacts which may reduce the diagnostic value of the image. In many cases, these artifacts result from missing or corrupt regions in the projection data, e.g., in the case of metal, truncation, and limited angle artifacts. The authors propose a generalized correction method for different kinds of artifacts resulting from missing or corrupt data by making use of available prior knowledge to perform data completion. Methods: The proposed prior-based artifact correction (PBAC) method requires prior knowledge in form of a planning CT of the same patient or in form ofmore » a CT scan of a different patient showing the same body region. In both cases, the prior image is registered to the patient image using a deformable transformation. The registered prior is forward projected and data completion of the patient projections is performed using smooth sinogram inpainting. The obtained projection data are used to reconstruct the corrected image. Results: The authors investigate metal and truncation artifacts in patient data sets acquired with a clinical CT and limited angle artifacts in an anthropomorphic head phantom data set acquired with a gantry-based flat detector CT device. In all cases, the corrected images obtained by PBAC are nearly artifact-free. Compared to conventional correction methods, PBAC achieves better artifact suppression while preserving the patient-specific anatomy at the same time. Further, the authors show that prominent anatomical details in the prior image seem to have only minor impact on the correction result. Conclusions: The results show that PBAC has the potential to effectively correct for metal, truncation, and limited angle artifacts if adequate prior data are available. Since the proposed method makes use of a generalized algorithm, PBAC may also be applicable to other artifacts resulting from missing or corrupt data.« less

  15. Middle school students' knowledge of autism.

    PubMed

    Campbell, Jonathan M; Barger, Brian D

    2011-06-01

    Authors examined 1,015 middle school students' knowledge of autism using a single item of prior awareness and a 10-item Knowledge of Autism (KOA) scale. The KOA scale was designed to assess students' knowledge of the course, etiology, and symptoms associated with autism. Less than half of students (46.1%) reported having heard of autism; however, most students correctly responded that autism was a chronic condition that was not communicable. Students reporting prior awareness of autism scored higher on 9 of 10 KOA scale items when compared to their naïve counterparts. Prior awareness of autism and KOA scores also differed across schools. A more detailed understanding of developmental changes in students' knowledge of autism should improve peer educational interventions.

  16. Cognitive abilities of health and art college students a pilot study.

    PubMed

    AlAbdulwahab, Sami S; Kachanathu, Shaji John; AlKhamees, Abdullah K

    2016-05-01

    [Purpose] The selection of a college major is a struggle that high school students undergo every year; however, there is a dearth of studies examining the role of cognitive ability tests as a tool for determining the aptitude of prospective students. Hence, the purpose of this study was to assess cognitive ability differences among students. [Subjects and Methods] A convenience sample of 60 college students (30 health science and 30 art students) with a mean age of 19 ± 1.6 years, voluntarily participated in this study. Cognitive ability was assessed using the self-administered Cognitive Assessment of Minnesota (CAM) scale under the supervision of a researcher. [Results] The findings indicated that there was a significant cognitive ability difference between health science and art students, especially in the cognitive components of knowledge, calculation, and thinking. However, the difference in the social cognitive component of both the health science and art students was not significant. [Conclusion] The results indicate that the health science students' cognitive abilities were better than those of the art students. This finding implies that it is important for high school graduates to undertake a cognitive ability assessment prior to choosing a subject major. Hence, it is recommended that cognitive scales should be included as an aptitude assessment tool for the decision-makers and prospective students to determine an appropriate career, since it might reduce the percentage of university drop-out ratio.

  17. Knowledge Structures of Entering Computer Networking Students and Their Instructors

    ERIC Educational Resources Information Center

    DiCerbo, Kristen E.

    2007-01-01

    Students bring prior knowledge to their learning experiences. This prior knowledge is known to affect how students encode and later retrieve new information learned. Teachers and content developers can use information about students' prior knowledge to create more effective lessons and materials. In many content areas, particularly the sciences,…

  18. Assessing Professional Decision-Making Abilities.

    ERIC Educational Resources Information Center

    McNergney, Robert; Hinson, Stephanie

    1985-01-01

    Describes Teacher Development Decision Exercises, a computer-based method of diagnosing abilities of elementary and secondary school supervisors (principals, staff developers, curriculum coordinators) to make professional preactive or planning decisions. This approval simulates assessment of supervisors' abilities to use professional knowledge to…

  19. The Effects of Prior Knowledge and Instruction on Understanding Image Formation.

    ERIC Educational Resources Information Center

    Galili, Igal; And Others

    1993-01-01

    Reports a study (n=27) concerning the knowledge about image formation exhibited by students following instruction in geometrical optics in an activity-based college physics course for prospective elementary teachers. Student diagrams and verbal comments indicate their knowledge can be described as an intermediate state: a hybridization of…

  20. When Generating Answers Benefits Arithmetic Skill: The Importance of Prior Knowledge

    ERIC Educational Resources Information Center

    Rittle-Johnson, Bethany; Kmicikewycz, Alexander Oleksij

    2008-01-01

    People remember information better if they generate the information while studying rather than read the information. However, prior research has not investigated whether this generation effect extends to related but unstudied items and has not been conducted in classroom settings. We compared third graders' success on studied and unstudied…

  1. Integrating prior information into microwave tomography part 2: Impact of errors in prior information on microwave tomography image quality.

    PubMed

    Kurrant, Douglas; Fear, Elise; Baran, Anastasia; LoVetri, Joe

    2017-12-01

    The authors have developed a method to combine a patient-specific map of tissue structure and average dielectric properties with microwave tomography. The patient-specific map is acquired with radar-based techniques and serves as prior information for microwave tomography. The impact that the degree of structural detail included in this prior information has on image quality was reported in a previous investigation. The aim of the present study is to extend this previous work by identifying and quantifying the impact that errors in the prior information have on image quality, including the reconstruction of internal structures and lesions embedded in fibroglandular tissue. This study also extends the work of others reported in literature by emulating a clinical setting with a set of experiments that incorporate heterogeneity into both the breast interior and glandular region, as well as prior information related to both fat and glandular structures. Patient-specific structural information is acquired using radar-based methods that form a regional map of the breast. Errors are introduced to create a discrepancy in the geometry and electrical properties between the regional map and the model used to generate the data. This permits the impact that errors in the prior information have on image quality to be evaluated. Image quality is quantitatively assessed by measuring the ability of the algorithm to reconstruct both internal structures and lesions embedded in fibroglandular tissue. The study is conducted using both 2D and 3D numerical breast models constructed from MRI scans. The reconstruction results demonstrate robustness of the method relative to errors in the dielectric properties of the background regional map, and to misalignment errors. These errors do not significantly influence the reconstruction accuracy of the underlying structures, or the ability of the algorithm to reconstruct malignant tissue. Although misalignment errors do not significantly impact

  2. GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge.

    PubMed

    Wagner, Florian

    2015-01-01

    Genome-wide expression profiling is a widely used approach for characterizing heterogeneous populations of cells, tissues, biopsies, or other biological specimen. The exploratory analysis of such data typically relies on generic unsupervised methods, e.g. principal component analysis (PCA) or hierarchical clustering. However, generic methods fail to exploit prior knowledge about the molecular functions of genes. Here, I introduce GO-PCA, an unsupervised method that combines PCA with nonparametric GO enrichment analysis, in order to systematically search for sets of genes that are both strongly correlated and closely functionally related. These gene sets are then used to automatically generate expression signatures with functional labels, which collectively aim to provide a readily interpretable representation of biologically relevant similarities and differences. The robustness of the results obtained can be assessed by bootstrapping. I first applied GO-PCA to datasets containing diverse hematopoietic cell types from human and mouse, respectively. In both cases, GO-PCA generated a small number of signatures that represented the majority of lineages present, and whose labels reflected their respective biological characteristics. I then applied GO-PCA to human glioblastoma (GBM) data, and recovered signatures associated with four out of five previously defined GBM subtypes. My results demonstrate that GO-PCA is a powerful and versatile exploratory method that reduces an expression matrix containing thousands of genes to a much smaller set of interpretable signatures. In this way, GO-PCA aims to facilitate hypothesis generation, design of further analyses, and functional comparisons across datasets.

  3. Improving students’ mathematical representational ability through RME-based progressive mathematization

    NASA Astrophysics Data System (ADS)

    Warsito; Darhim; Herman, T.

    2018-01-01

    This study aims to determine the differences in the improving of mathematical representation ability based on progressive mathematization with realistic mathematics education (PMR-MP) with conventional learning approach (PB). The method of research is quasi-experiments with non-equivalent control group designs. The study population is all students of class VIII SMPN 2 Tangerang consisting of 6 classes, while the sample was taken two classes with purposive sampling technique. The experimental class is treated with PMR-MP while the control class is treated with PB. The instruments used are test of mathematical representation ability. Data analysis was done by t-test, ANOVA test, post hoc test, and descriptive analysis. The result of analysis can be concluded that: 1) there are differences of mathematical representation ability improvement between students treated by PMR-MP and PB, 2) no interaction between learning approach (PMR-MP, PB) and prior mathematics knowledge (PAM) to improve students’ mathematical representation; 3) Students’ mathematical representation improvement in the level of higher PAM is better than medium, and low PAM students. Thus, based on the process of mathematization, it is very important when the learning direction of PMR-MP emphasizes on the process of building mathematics through a mathematical model.

  4. Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR)

    PubMed Central

    Hammer, Eva M.; Kaufmann, Tobias; Kleih, Sonja C.; Blankertz, Benjamin; Kübler, Andrea

    2014-01-01

    Modulation of sensorimotor rhythms (SMR) was suggested as a control signal for brain-computer interfaces (BCI). Yet, there is a population of users estimated between 10 to 50% not able to achieve reliable control and only about 20% of users achieve high (80–100%) performance. Predicting performance prior to BCI use would facilitate selection of the most feasible system for an individual, thus constitute a practical benefit for the user, and increase our knowledge about the correlates of BCI control. In a recent study, we predicted SMR-BCI performance from psychological variables that were assessed prior to the BCI sessions and BCI control was supported with machine-learning techniques. We described two significant psychological predictors, namely the visuo-motor coordination ability and the ability to concentrate on the task. The purpose of the current study was to replicate these results thereby validating these predictors within a neurofeedback based SMR-BCI that involved no machine learning.Thirty-three healthy BCI novices participated in a calibration session and three further neurofeedback training sessions. Two variables were related with mean SMR-BCI performance: (1) a measure for the accuracy of fine motor skills, i.e., a trade for a person’s visuo-motor control ability; and (2) subject’s “attentional impulsivity”. In a linear regression they accounted for almost 20% in variance of SMR-BCI performance, but predictor (1) failed significance. Nevertheless, on the basis of our prior regression model for sensorimotor control ability we could predict current SMR-BCI performance with an average prediction error of M = 12.07%. In more than 50% of the participants, the prediction error was smaller than 10%. Hence, psychological variables played a moderate role in predicting SMR-BCI performance in a neurofeedback approach that involved no machine learning. Future studies are needed to further consolidate (or reject) the present predictors. PMID:25147518

  5. Tacit knowledge.

    PubMed

    Walker, Alexander Muir

    2017-04-01

    Information that is not made explicit is nonetheless embedded in most of our standard procedures. In its simplest form, embedded information may take the form of prior knowledge held by the researcher and presumed to be agreed to by consumers of the research product. More interesting are the settings in which the prior information is held unconsciously by both researcher and reader, or when the very form of an "effective procedure" incorporates its creator's (unspoken) understanding of a problem. While it may not be productive to exhaustively detail the embedded or tacit knowledge that manifests itself in creative scientific work, at least at the beginning, we may want to routinize methods for extracting and documenting the ways of thinking that make "experts" expert. We should not back away from both expecting and respecting the tacit knowledge the pervades our work and the work of others.

  6. Pursuing a Purpose: The Role of Career Exploration Courses and Service-Learning Internships in Recognizing and Developing Knowledge, Skills, and Abilities

    ERIC Educational Resources Information Center

    Peterson, Jamie J.; Wardwell, Clair; Will, Kelsey; Campana, Kristie L.

    2014-01-01

    The purpose of this study was to describe the knowledge, skills, and abilities (KSAs) undergraduate psychology students were able to articulate while engaging in a career preparation seminar with an embedded service-learning internship. Results from the students' reflective journals indicated students were able to describe a wide range of…

  7. Medical-surgical nurses' perceived self-confidence and leadership abilities as first responders in acute patient deterioration events.

    PubMed

    Hart, Patricia L; Spiva, LeeAnna; Baio, Pamela; Huff, Barbara; Whitfield, Denice; Law, Tammy; Wells, Tiffany; Mendoza, Inocenica G

    2014-10-01

    To explore and understand medical-surgical nurses' perceived self-confidence and leadership abilities as first responders in recognising and responding to clinical deterioration prior to the arrival of an emergency response team. Patients are admitted to hospitals with multiple, complex health issues who are more likely to experience clinical deterioration. The majority of clinical deterioration events occur on medical-surgical units, and medical-surgical nurses are frequently the first healthcare professionals to identify signs and symptoms of clinical deterioration and initiate life-saving interventions. A prospective, cross-sectional, descriptive quantitative design using a survey method was used. Nurses were recruited from an integrated healthcare system located in the south-east United States. Nurses completed a demographic, a self-confidence and a leadership ability questionnaire. One hundred and forty-eight nurses participated in the study. Nurses felt moderately self-confident in recognising, assessing and intervening during clinical deterioration events. In addition, nurses felt moderately comfortable performing leadership skills prior to the arrival of an emergency response team. A significant, positive relationship was found between perceived self-confidence and leadership abilities. Age and certification status were significant predictors of nurses' leadership ability. Although nurses felt moderately self-confident and comfortable with executing leadership abilities, improvement is needed to ensure nurses are competent in recognising patients' deterioration cues and making sound decisions in taking appropriate, timely actions to rescue patients. Further strategies need to be developed to increase nurses' self-confidence and execution of leadership abilities in handling deterioration events for positive patient outcomes. Educational provisions should focus on various clinical deterioration events to build nurses' self-confidence and leadership abilities

  8. Order priors for Bayesian network discovery with an application to malware phylogeny

    DOE PAGES

    Oyen, Diane; Anderson, Blake; Sentz, Kari; ...

    2017-09-15

    Here, Bayesian networks have been used extensively to model and discover dependency relationships among sets of random variables. We learn Bayesian network structure with a combination of human knowledge about the partial ordering of variables and statistical inference of conditional dependencies from observed data. Our approach leverages complementary information from human knowledge and inference from observed data to produce networks that reflect human beliefs about the system as well as to fit the observed data. Applying prior beliefs about partial orderings of variables is an approach distinctly different from existing methods that incorporate prior beliefs about direct dependencies (or edges)more » in a Bayesian network. We provide an efficient implementation of the partial-order prior in a Bayesian structure discovery learning algorithm, as well as an edge prior, showing that both priors meet the local modularity requirement necessary for an efficient Bayesian discovery algorithm. In benchmark studies, the partial-order prior improves the accuracy of Bayesian network structure learning as well as the edge prior, even though order priors are more general. Our primary motivation is in characterizing the evolution of families of malware to aid cyber security analysts. For the problem of malware phylogeny discovery, we find that our algorithm, compared to existing malware phylogeny algorithms, more accurately discovers true dependencies that are missed by other algorithms.« less

  9. Order priors for Bayesian network discovery with an application to malware phylogeny

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Oyen, Diane; Anderson, Blake; Sentz, Kari

    Here, Bayesian networks have been used extensively to model and discover dependency relationships among sets of random variables. We learn Bayesian network structure with a combination of human knowledge about the partial ordering of variables and statistical inference of conditional dependencies from observed data. Our approach leverages complementary information from human knowledge and inference from observed data to produce networks that reflect human beliefs about the system as well as to fit the observed data. Applying prior beliefs about partial orderings of variables is an approach distinctly different from existing methods that incorporate prior beliefs about direct dependencies (or edges)more » in a Bayesian network. We provide an efficient implementation of the partial-order prior in a Bayesian structure discovery learning algorithm, as well as an edge prior, showing that both priors meet the local modularity requirement necessary for an efficient Bayesian discovery algorithm. In benchmark studies, the partial-order prior improves the accuracy of Bayesian network structure learning as well as the edge prior, even though order priors are more general. Our primary motivation is in characterizing the evolution of families of malware to aid cyber security analysts. For the problem of malware phylogeny discovery, we find that our algorithm, compared to existing malware phylogeny algorithms, more accurately discovers true dependencies that are missed by other algorithms.« less

  10. A comment on priors for Bayesian occupancy models

    PubMed Central

    Gerber, Brian D.

    2018-01-01

    Understanding patterns of species occurrence and the processes underlying these patterns is fundamental to the study of ecology. One of the more commonly used approaches to investigate species occurrence patterns is occupancy modeling, which can account for imperfect detection of a species during surveys. In recent years, there has been a proliferation of Bayesian modeling in ecology, which includes fitting Bayesian occupancy models. The Bayesian framework is appealing to ecologists for many reasons, including the ability to incorporate prior information through the specification of prior distributions on parameters. While ecologists almost exclusively intend to choose priors so that they are “uninformative” or “vague”, such priors can easily be unintentionally highly informative. Here we report on how the specification of a “vague” normally distributed (i.e., Gaussian) prior on coefficients in Bayesian occupancy models can unintentionally influence parameter estimation. Using both simulated data and empirical examples, we illustrate how this issue likely compromises inference about species-habitat relationships. While the extent to which these informative priors influence inference depends on the data set, researchers fitting Bayesian occupancy models should conduct sensitivity analyses to ensure intended inference, or employ less commonly used priors that are less informative (e.g., logistic or t prior distributions). We provide suggestions for addressing this issue in occupancy studies, and an online tool for exploring this issue under different contexts. PMID:29481554

  11. A comment on priors for Bayesian occupancy models.

    PubMed

    Northrup, Joseph M; Gerber, Brian D

    2018-01-01

    Understanding patterns of species occurrence and the processes underlying these patterns is fundamental to the study of ecology. One of the more commonly used approaches to investigate species occurrence patterns is occupancy modeling, which can account for imperfect detection of a species during surveys. In recent years, there has been a proliferation of Bayesian modeling in ecology, which includes fitting Bayesian occupancy models. The Bayesian framework is appealing to ecologists for many reasons, including the ability to incorporate prior information through the specification of prior distributions on parameters. While ecologists almost exclusively intend to choose priors so that they are "uninformative" or "vague", such priors can easily be unintentionally highly informative. Here we report on how the specification of a "vague" normally distributed (i.e., Gaussian) prior on coefficients in Bayesian occupancy models can unintentionally influence parameter estimation. Using both simulated data and empirical examples, we illustrate how this issue likely compromises inference about species-habitat relationships. While the extent to which these informative priors influence inference depends on the data set, researchers fitting Bayesian occupancy models should conduct sensitivity analyses to ensure intended inference, or employ less commonly used priors that are less informative (e.g., logistic or t prior distributions). We provide suggestions for addressing this issue in occupancy studies, and an online tool for exploring this issue under different contexts.

  12. Estimated maximal and current brain volume predict cognitive ability in old age

    PubMed Central

    Royle, Natalie A.; Booth, Tom; Valdés Hernández, Maria C.; Penke, Lars; Murray, Catherine; Gow, Alan J.; Maniega, Susana Muñoz; Starr, John; Bastin, Mark E.; Deary, Ian J.; Wardlaw, Joanna M.

    2013-01-01

    Brain tissue deterioration is a significant contributor to lower cognitive ability in later life; however, few studies have appropriate data to establish how much influence prior brain volume and prior cognitive performance have on this association. We investigated the associations between structural brain imaging biomarkers, including an estimate of maximal brain volume, and detailed measures of cognitive ability at age 73 years in a large (N = 620), generally healthy, community-dwelling population. Cognitive ability data were available from age 11 years. We found positive associations (r) between general cognitive ability and estimated brain volume in youth (male, 0.28; females, 0.12), and in measured brain volume in later life (males, 0.27; females, 0.26). Our findings show that cognitive ability in youth is a strong predictor of estimated prior and measured current brain volume in old age but that these effects were the same for both white and gray matter. As 1 of the largest studies of associations between brain volume and cognitive ability with normal aging, this work contributes to the wider understanding of how some early-life factors influence cognitive aging. PMID:23850342

  13. Estimated maximal and current brain volume predict cognitive ability in old age.

    PubMed

    Royle, Natalie A; Booth, Tom; Valdés Hernández, Maria C; Penke, Lars; Murray, Catherine; Gow, Alan J; Maniega, Susana Muñoz; Starr, John; Bastin, Mark E; Deary, Ian J; Wardlaw, Joanna M

    2013-12-01

    Brain tissue deterioration is a significant contributor to lower cognitive ability in later life; however, few studies have appropriate data to establish how much influence prior brain volume and prior cognitive performance have on this association. We investigated the associations between structural brain imaging biomarkers, including an estimate of maximal brain volume, and detailed measures of cognitive ability at age 73 years in a large (N = 620), generally healthy, community-dwelling population. Cognitive ability data were available from age 11 years. We found positive associations (r) between general cognitive ability and estimated brain volume in youth (male, 0.28; females, 0.12), and in measured brain volume in later life (males, 0.27; females, 0.26). Our findings show that cognitive ability in youth is a strong predictor of estimated prior and measured current brain volume in old age but that these effects were the same for both white and gray matter. As 1 of the largest studies of associations between brain volume and cognitive ability with normal aging, this work contributes to the wider understanding of how some early-life factors influence cognitive aging. Copyright © 2013 Elsevier Inc. All rights reserved.

  14. Verbal Ability and Teacher Effectiveness

    ERIC Educational Resources Information Center

    Andrew, Michael D.; Cobb, Casey D.; Giampietro, Peter J.

    2005-01-01

    Critics of traditional teacher education programs have suggested that verbal ability along with subject knowledge is sufficient for measuring good teaching. A small group of research studies is called upon to support this contention. This article reviews these studies, analyzes the role of verbal ability in teaching, and presents research…

  15. Effects of team-based learning on problem-solving, knowledge and clinical performance of Korean nursing students.

    PubMed

    Kim, Hae-Ran; Song, Yeoungsuk; Lindquist, Ruth; Kang, Hee-Young

    2016-03-01

    Team-based learning (TBL) has been used as a learner-centered teaching strategy in efforts to improve students' problem-solving, knowledge and practice performance. Although TBL has been used in nursing education in Korea for a decade, few studies have studied its effects on Korean nursing students' learning outcomes. To examine the effects of TBL on problem-solving ability and learning outcomes (knowledge and clinical performance) of Korean nursing students. Randomized controlled trial. 63 third-year undergraduate nursing students attending a single university were randomly assigned to the TBL group (n=32), or a control group (n=31). The TBL and control groups attended 2h of class weekly for 3weeks. Three scenarios with pulmonary disease content were employed in both groups. However, the control group received lectures and traditional case study teaching/learning strategies instead of TBL. A questionnaire of problem-solving ability was administered at baseline, prior to students' exposure to the teaching strategies. Students' problem-solving ability, knowledge of pulmonary nursing care, and clinical performance were assessed following completion of the three-week pulmonary unit. After the three-week educational interventions, the scores on problem-solving ability in the TBL group were significantly improved relative to that of the control group (t=10.89, p<.001). In addition, there were significant differences in knowledge, and in clinical performance with standardized patients between the two groups (t=2.48, p=.016, t=12.22, p<.001). This study demonstrated that TBL is an effective teaching strategy to enhance problem-solving ability, knowledge and clinical performance. More research on other specific learning outcomes of TBL for nursing students is recommended. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge

    PubMed Central

    Wagner, Florian

    2015-01-01

    Method Genome-wide expression profiling is a widely used approach for characterizing heterogeneous populations of cells, tissues, biopsies, or other biological specimen. The exploratory analysis of such data typically relies on generic unsupervised methods, e.g. principal component analysis (PCA) or hierarchical clustering. However, generic methods fail to exploit prior knowledge about the molecular functions of genes. Here, I introduce GO-PCA, an unsupervised method that combines PCA with nonparametric GO enrichment analysis, in order to systematically search for sets of genes that are both strongly correlated and closely functionally related. These gene sets are then used to automatically generate expression signatures with functional labels, which collectively aim to provide a readily interpretable representation of biologically relevant similarities and differences. The robustness of the results obtained can be assessed by bootstrapping. Results I first applied GO-PCA to datasets containing diverse hematopoietic cell types from human and mouse, respectively. In both cases, GO-PCA generated a small number of signatures that represented the majority of lineages present, and whose labels reflected their respective biological characteristics. I then applied GO-PCA to human glioblastoma (GBM) data, and recovered signatures associated with four out of five previously defined GBM subtypes. My results demonstrate that GO-PCA is a powerful and versatile exploratory method that reduces an expression matrix containing thousands of genes to a much smaller set of interpretable signatures. In this way, GO-PCA aims to facilitate hypothesis generation, design of further analyses, and functional comparisons across datasets. PMID:26575370

  17. Measuring Knowledge Elaboration Based on a Computer-Assisted Knowledge Map Analytical Approach to Collaborative Learning

    ERIC Educational Resources Information Center

    Zheng, Lanqin; Huang, Ronghuai; Hwang, Gwo-Jen; Yang, Kaicheng

    2015-01-01

    The purpose of this study is to quantitatively measure the level of knowledge elaboration and explore the relationships between prior knowledge of a group, group performance, and knowledge elaboration in collaborative learning. Two experiments were conducted to investigate the level of knowledge elaboration. The collaborative learning objective in…

  18. Implementing CLIL in Higher Education in Thailand: The Extent to Which CLIL Improves Agricultural Students' Writing Ability, Agricultural Content, and Cultural Knowledge

    ERIC Educational Resources Information Center

    Chansri, Charinee; Wasanasomsithi, Punchalee

    2016-01-01

    The present study aimed to investigate the extent to which a CLIL (Content and Language Integrated Learning) course at university level in Thailand improves undergraduate Agricultural students' writing ability, agricultural content, and cultural knowledge. The study sample consisted of 27 students majoring in Agriculture at a public university in…

  19. Predicting student performance in sonographic scanning using spatial ability as an ability determinent of skill acquisition

    NASA Astrophysics Data System (ADS)

    Clem, Douglas Wayne

    Spatial ability refers to an individual's capacity to visualize and mentally manipulate three dimensional objects. Since sonographers manually manipulate 2D and 3D sonographic images to generate multi-viewed, logical, sequential renderings of an anatomical structure, it can be assumed that spatial ability is central to the perception and interpretation of these medical images. Using Ackerman's theory of ability determinants of skilled performance as a conceptual framework, this study explored the relationship of spatial ability and learning sonographic scanning. Beginning first year sonography students from four different educational institutions were administered a spatial abilities test prior to their initial scanning lab coursework. The students' spatial test scores were compared with their scanning competency performance scores. A significant relationship between the students' spatial ability scores and their scanning performance scores was found. This result suggests that the use of spatial ability tests for admission to sonography programs may improve candidate selection, as well as assist programs in adjusting instruction and curriculum for students who demonstrate low spatial ability.

  20. The effects of a socioscientific issues instructional model in secondary agricultural education on students' content knowledge, scientific reasoning ability, argumentation skills, and views of the nature of science

    NASA Astrophysics Data System (ADS)

    Shoulders, Catherine Woglom

    The purpose of this study was to determine the effects of a socioscientific issues-based instructional model on secondary agricultural education students' content knowledge, scientific reasoning ability, argumentation skills, and views of the nature of science. This study utilized a pre-experimental, single group pretest-posttest design to assess the impacts of a nine-week unit that incorporated a socioscientific issue into instruction on secondary agriculture students' agriscience content knowledge, scientific reasoning ability, argumentation skills, and views of the nature of science. The population for this study was Florida's secondary students enrolled in agricultural education. The accessible population was students enrolled in Agriscience Foundations classes in Florida. A convenience sample of Florida's Agriscience Foundations teachers attending a summer professional development or Chapter Officer Leadership Training session was taken. Paired-samples t tests were conducted to determine the impact the treatment had on students' agriscience content knowledge on distal and proximal assessments, as well as on students' scientific reasoning ability, argumentation skills related to number of argumentation justifications and quality of those justifications, and views of the nature of science. Paired-samples t tests were also conducted to determine whether the treatment yielded results with middle school or high school students. Statistical analysis found significant improvements in students' agriscience content knowledge, scientific reasoning ability, and argumentation skills. High school students' scores resulted in significant improvements in proximal content knowledge assessments and argumentation justification quality. Middle school students' scores resulted in significant improvements in proximal content knowledge assessments and scientific reasoning ability. No significant difference was found between students' views of the nature of science before and after

  1. The shaping of social perception by stimulus and knowledge cues to human animacy

    PubMed Central

    Ramsey, Richard; Liepelt, Roman; Prinz, Wolfgang; Hamilton, Antonia F. de C.

    2016-01-01

    Although robots are becoming an ever-growing presence in society, we do not hold the same expectations for robots as we do for humans, nor do we treat them the same. As such, the ability to recognize cues to human animacy is fundamental for guiding social interactions. We review literature that demonstrates cortical networks associated with person perception, action observation and mentalizing are sensitive to human animacy information. In addition, we show that most prior research has explored stimulus properties of artificial agents (humanness of appearance or motion), with less investigation into knowledge cues (whether an agent is believed to have human or artificial origins). Therefore, currently little is known about the relationship between stimulus and knowledge cues to human animacy in terms of cognitive and brain mechanisms. Using fMRI, an elaborate belief manipulation, and human and robot avatars, we found that knowledge cues to human animacy modulate engagement of person perception and mentalizing networks, while stimulus cues to human animacy had less impact on social brain networks. These findings demonstrate that self–other similarities are not only grounded in physical features but are also shaped by prior knowledge. More broadly, as artificial agents fulfil increasingly social roles, a challenge for roboticists will be to manage the impact of pre-conceived beliefs while optimizing human-like design. PMID:26644594

  2. The shaping of social perception by stimulus and knowledge cues to human animacy.

    PubMed

    Cross, Emily S; Ramsey, Richard; Liepelt, Roman; Prinz, Wolfgang; de C Hamilton, Antonia F

    2016-01-19

    Although robots are becoming an ever-growing presence in society, we do not hold the same expectations for robots as we do for humans, nor do we treat them the same. As such, the ability to recognize cues to human animacy is fundamental for guiding social interactions. We review literature that demonstrates cortical networks associated with person perception, action observation and mentalizing are sensitive to human animacy information. In addition, we show that most prior research has explored stimulus properties of artificial agents (humanness of appearance or motion), with less investigation into knowledge cues (whether an agent is believed to have human or artificial origins). Therefore, currently little is known about the relationship between stimulus and knowledge cues to human animacy in terms of cognitive and brain mechanisms. Using fMRI, an elaborate belief manipulation, and human and robot avatars, we found that knowledge cues to human animacy modulate engagement of person perception and mentalizing networks, while stimulus cues to human animacy had less impact on social brain networks. These findings demonstrate that self-other similarities are not only grounded in physical features but are also shaped by prior knowledge. More broadly, as artificial agents fulfil increasingly social roles, a challenge for roboticists will be to manage the impact of pre-conceived beliefs while optimizing human-like design. © 2015 The Authors.

  3. Recognition of Prior Learning: The Participants' Perspective

    ERIC Educational Resources Information Center

    Miguel, Marta C.; Ornelas, José H.; Maroco, João P.

    2016-01-01

    The current narrative on lifelong learning goes beyond formal education and training, including learning at work, in the family and in the community. Recognition of prior learning is a process of evaluation of those skills and knowledge acquired through life experience, allowing them to be formally recognized by the qualification systems. It is a…

  4. A review of nurses' knowledge, attitudes, and ability to communicate the risks and benefits of complementary and alternative medicine.

    PubMed

    Chang, Hsiao-Yun; Chang, Huai-Lu

    2015-06-01

    This study reviewed existing literature to investigate how frequently nurses include complementary and alternative forms of medicine in their clinical practice. In so doing, we investigated nurses' knowledge of and attitudes towards complementary and alternative medicine as well as their ability to communicate the risks and benefits of these therapies with patients. Little information is available concerning nurses' knowledge and attitudes towards complementary and alternative medicine or how they incorporate these therapies into their practice. In addition, little is known about the ability of nurses to communicate the risks and benefits of complementary and alternative medicine to their patients. This study used a scoping review method to map and synthesise existing literature. Both electronic and manual searches were used to identify relevant studies published between January 2007 and January 2014. The review was conducted in five stages: (1) identification of research question(s), (2) locate studies, (3) selection of studies, (4) charting of data, and (5) collating, summarising, and reporting of results. Fifteen papers met the inclusion criteria for this review, among which 53·7% referenced how frequently nurses include complementary and alternative medicine in their practice. We found that 66·4% of nurses had positive attitudes towards complementary and alternative medicine; however, 77·4% did not possess a comprehensive understanding of the associated risks and benefits. In addition, nearly half of the respondents (47·3-67·7%) reported feeling uncomfortable discussing complementary and alternative medicine therapies with their patients. The lack of knowledge about complementary and alternative medicine among nurses is a cause for concern, particularly in light of its widespread application. Findings from this study suggest that health care professionals need to promote evidence informed decision-making in complementary and alternative medicine practice

  5. Assessing Teachers' Science Content Knowledge: A Strategy for Assessing Depth of Understanding

    NASA Astrophysics Data System (ADS)

    McConnell, Tom J.; Parker, Joyce M.; Eberhardt, Jan

    2013-06-01

    One of the characteristics of effective science teachers is a deep understanding of science concepts. The ability to identify, explain and apply concepts is critical in designing, delivering and assessing instruction. Because some teachers have not completed extensive courses in some areas of science, especially in middle and elementary grades, many professional development programs attempt to strengthen teachers' content knowledge. Assessing this content knowledge is challenging. Concept inventories are reliable and efficient, but do not reveal depth of knowledge. Interviews and observations are time-consuming. The Problem Based Learning Project for Teachers implemented a strategy that includes pre-post instruments in eight content strands that permits blind coding of responses and comparison across teachers and groups of teachers. The instruments include two types of open-ended questions that assess both general knowledge and the ability to apply Big Ideas related to specific science topics. The coding scheme is useful in revealing patterns in prior knowledge and learning, and identifying ideas that are challenging or not addressed by learning activities. The strengths and limitations of the scoring scheme are identified through comparison of the findings to case studies of four participating teachers from middle and elementary schools. The cases include examples of coded pre- and post-test responses to illustrate some of the themes seen in teacher learning. The findings raise questions for future investigation that can be conducted using analyses of the coded responses.

  6. The influence of analogical reasoning instruction on the pedagogical reasoning ability of preservice elementary teachers

    NASA Astrophysics Data System (ADS)

    James, Mark Charles

    Novice teachers with little prior knowledge of science concepts often resort to teaching science as a litany of jargon and definitions. The primary objective of this study was to establish the efficacy of analogy-based pedagogy on influencing the teaching performance of preservice elementary teachers, a group that has been identified for their particular difficulties in teaching science content. While numerous studies have focused on the efficacy of analogy-based instruction on the conceptual knowledge of learners, this was the first study to focus on the influence of analogy-based pedagogy instruction on the teaching performance of novice teachers. The study utilized a treatment/contrast group design where treatment and contrast groups were obtained from intact sections of a university course on methods of teaching science for preservice elementary education students. Preservice teachers in the treatment group were provided instruction in pedagogy that guided them in the generation of analogies to aid in the explanation phase of their learning cycle lessons. The process of generating and evaluating analogies for use in teaching was instrumental in focusing the preservice teachers' lesson planning efforts on critical attributes in target concepts, and away from misplaced concentrations on jargon and definitions. Teaching performance was primarily analyzed using coded indicants of Shulman's (1986) six stages of pedagogical reasoning ability. The primary data source was preservice teachers' work submitted for a major course assignment where the preservice teachers interviewed an elementary school student to gauge prior knowledge of Newtonian force concepts. The culmination of the semester-long assignment was the design of an individualized lesson that was presented by the preservice teachers to individual elementary school students. The results of this study strongly suggest that instruction in methods to include analogy-based pedagogy within a learning cycle lesson

  7. Interactive web-based learning modules prior to general medicine advanced pharmacy practice experiences.

    PubMed

    Isaacs, Alex N; Walton, Alison M; Nisly, Sarah A

    2015-04-25

    To implement and evaluate interactive web-based learning modules prior to advanced pharmacy practice experiences (APPEs) on inpatient general medicine. Three clinical web-based learning modules were developed for use prior to APPEs in 4 health care systems. The aim of the interactive modules was to strengthen baseline clinical knowledge before the APPE to enable the application of learned material through the delivery of patient care. For the primary endpoint, postassessment scores increased overall and for each individual module compared to preassessment scores. Postassessment scores were similar among the health care systems. The survey demonstrated positive student perceptions of this learning experience. Prior to inpatient general medicine APPEs, web-based learning enabled the standardization and assessment of baseline student knowledge across 4 health care systems.

  8. Socioeconomic Position Across the Life Course and Cognitive Ability Later in Life: The Importance of Considering Early Cognitive Ability.

    PubMed

    Foverskov, Else; Mortensen, Erik Lykke; Holm, Anders; Pedersen, Jolene Lee Masters; Osler, Merete; Lund, Rikke

    2017-11-01

    Investigate direct and indirect associations between markers of socioeconomic position (SEP) across the life course and midlife cognitive ability while addressing methodological limitations in prior work. Longitudinal data from the Danish Metropolit cohort of men born in 1953 ( N = 2,479) who completed ability tests at age 12, 18, and 56-58 linked to register-based information on paternal occupational class, educational attainment, and occupational level. Associations were assessed using structural equation models, and different models were estimated to examine the importance of accounting for childhood ability and measurement error. Associations between adult SEP measures and midlife ability decreased significantly when adjusting for childhood ability and measurement error. The association between childhood and midlife ability was by far the strongest. The impact of adult SEP on later life ability may be exaggerated when not accounting for the stability of individual differences in cognitive ability and measurement error in test scores.

  9. Assessment of cognitive factors that impact on student knowledge of genetics

    NASA Astrophysics Data System (ADS)

    Gerow, Tracy Nelson

    1999-12-01

    Attaining an understanding of basic principles of inheritance and their implications is crucial for all people as society is confronted with a variety of ethical, sociological and ecological questions generated by the rapid growth of genetic knowledge. College level students are burdened by terminology, have difficulty making associations among related ideas, and often possess misconceptions or fragmented ideas about how traits are inherited. Subject comprehension is evaluated mostly with objective testing techniques that don't show how well students truly understand concepts. This research was done to determine how prior subject knowledge in biology and general cognitive ability affected community college students' understanding of several genetic principles both before and after completing a one-semester college biology course. Understanding of genetic principles was determined with a videotape assessment that evaluated student written explanations of experimental events. The evaluations were then used to place students into three categories: descriptive, transitional, and relational type learners. A subset of students was interviewed to better determine how thoroughly genetic concepts depicted in the videotape program were understood. Prior subject matter knowledge and cognitive level were discovered to be moderately correlated with ability to explain genetic phenomena. Most students in this study were categorized as either descriptive or transitional learners. Descriptive type students gave less detailed explanations, employed less successful problem solving methods, had more misconceptions and used feedback less effectively than did transitional type learners. The study results show that science teachers need to be aware of the heterogeneity existing in their students' background knowledge and cognitive skills. It demonstrated that a large contingency of students, descriptive learners, lack a framework of knowledge upon which to build new concepts or change

  10. Expectation prior to human papilloma virus vaccination: 11 to 12-Year-old girls' written narratives.

    PubMed

    Forsner, M; Nilsson, S; Finnström, B; Mörelius, E

    2016-09-01

    Expectations prior to needle-related procedures can influence individuals' decision making and compliance with immunization programmes. To protect from human papilloma virus (HPV) and cervical cancer, the immunization needs to be given before sexual debut raising interest for this study's aim to investigate how 11 to 12-year-old girls narrate about their expectations prior to HPV vaccination. A total of 27 girls aged 11 to 12 years participated in this qualitative narrative study by writing short narratives describing their expectations. The requirement for inclusion was to have accepted HPV vaccination. Data were subjected to qualitative content analysis. Findings showed the following expectations: going to hurt, going to be scared and going to turn out fine. The expectations were based on the girls' previous experiences, knowledge and self-image. The latent content revealed that the girls tried to transform uneasiness to confidence. The conclusion drawn from this study is that most girls of this age seem confident about their ability to cope with possible unpleasantness related to vaccinations. However, nurses need to find strategies to help those children who feel uneasy about needle-related procedures. © The Author(s) 2015.

  11. Teaching genetics prior to teaching evolution improves evolution understanding but not acceptance

    PubMed Central

    Mead, Rebecca; Hejmadi, Momna

    2017-01-01

    What is the best way to teach evolution? As microevolution may be configured as a branch of genetics, it being a short conceptual leap from understanding the concepts of mutation and alleles (i.e., genetics) to allele frequency change (i.e., evolution), we hypothesised that learning genetics prior to evolution might improve student understanding of evolution. In the UK, genetics and evolution are typically taught to 14- to 16-y-old secondary school students as separate topics with few links, in no particular order and sometimes with a large time span between. Here, then, we report the results of a large trial into teaching order of evolution and genetics. We modified extant questionnaires to ascertain students’ understanding of evolution and genetics along with acceptance of evolution. Students were assessed prior to teaching, immediately post teaching and again after several months. Teachers were not instructed what to teach, just to teach in a given order. Regardless of order, teaching increased understanding and acceptance, with robust signs of longer-term retention. Importantly, teaching genetics before teaching evolution has a significant (p < 0.001) impact on improving evolution understanding by 7% in questionnaire scores beyond the increase seen for those taught in the inverse order. For lower ability students, an improvement in evolution understanding was seen only if genetics was taught first. Teaching genetics first additionally had positive effects on genetics understanding, by increasing knowledge. These results suggest a simple, minimally disruptive, zero-cost intervention to improve evolution understanding: teach genetics first. This same alteration does not, however, result in a significantly increased acceptance of evolution, which reflects a weak correlation between knowledge and acceptance of evolution. Qualitative focus group data highlights the role of authority figures in determination of acceptance. PMID:28542179

  12. Teaching genetics prior to teaching evolution improves evolution understanding but not acceptance.

    PubMed

    Mead, Rebecca; Hejmadi, Momna; Hurst, Laurence D

    2017-05-01

    What is the best way to teach evolution? As microevolution may be configured as a branch of genetics, it being a short conceptual leap from understanding the concepts of mutation and alleles (i.e., genetics) to allele frequency change (i.e., evolution), we hypothesised that learning genetics prior to evolution might improve student understanding of evolution. In the UK, genetics and evolution are typically taught to 14- to 16-y-old secondary school students as separate topics with few links, in no particular order and sometimes with a large time span between. Here, then, we report the results of a large trial into teaching order of evolution and genetics. We modified extant questionnaires to ascertain students' understanding of evolution and genetics along with acceptance of evolution. Students were assessed prior to teaching, immediately post teaching and again after several months. Teachers were not instructed what to teach, just to teach in a given order. Regardless of order, teaching increased understanding and acceptance, with robust signs of longer-term retention. Importantly, teaching genetics before teaching evolution has a significant (p < 0.001) impact on improving evolution understanding by 7% in questionnaire scores beyond the increase seen for those taught in the inverse order. For lower ability students, an improvement in evolution understanding was seen only if genetics was taught first. Teaching genetics first additionally had positive effects on genetics understanding, by increasing knowledge. These results suggest a simple, minimally disruptive, zero-cost intervention to improve evolution understanding: teach genetics first. This same alteration does not, however, result in a significantly increased acceptance of evolution, which reflects a weak correlation between knowledge and acceptance of evolution. Qualitative focus group data highlights the role of authority figures in determination of acceptance.

  13. The Nature of Preschool Phonological Processing Abilities and Their Relations to Vocabulary, General Cognitive Abilities, and Print Knowledge

    ERIC Educational Resources Information Center

    Lonigan, Christopher J.; Anthony, Jason L.; Phillips, Beth M.; Purpura, David J.; Wilson, Shauna B.; McQueen, Jessica D.

    2009-01-01

    The development of reading-related phonological processing abilities represents an important developmental milestone in the process of learning to read. In this cross-sectional study, confirmatory factor analysis was used to examine the structure of phonological processing abilities in 129 younger preschoolers (M = 40.88 months, SD = 4.65) and 304…

  14. Knowledge of resting heart rate mediates the relationship between intelligence and the heartbeat counting task.

    PubMed

    Murphy, Jennifer; Millgate, Edward; Geary, Hayley; Ichijo, Eri; Coll, Michel-Pierre; Brewer, Rebecca; Catmur, Caroline; Bird, Geoffrey

    2018-03-01

    Evidence suggests that intelligence is positively associated with performance on the heartbeat counting task (HCT). The HCT is often employed as measure of interoception - the ability to perceive the internal state of one's body - however it's use remains controversial as performance on the HCT is strongly influenced by knowledge of resting heart rate. This raises the possibility that heart rate knowledge may mediate the previously-observed association between intelligence and HCT performance. Study One demonstrates an association between intelligence and HCT performance (N = 94), and Study Two demonstrates that this relationship is mediated by knowledge of the average resting heart rate (N = 134). These data underscore the need to account for the influence of prior knowledge and beliefs when examining individual differences in cardiac interoceptive accuracy using the HCT. Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.

  15. A Prototype of Pilot Knowledge Evaluation by an Intelligent CAI (Computer -Aided Instruction) System Using a Bayesian Diagnostic Model.

    DTIC Science & Technology

    1987-06-01

    to a field of research called Computer-Aided Instruction (CAI). CAI is a powerful methodology for enhancing the overall quaiity and effectiveness of...provides a very powerful tool for statistical inference, especially when pooling informations from different source is appropriate. Thus. prior...04 , 2 ’ .. ."k, + ++ ,,;-+-,..,,..v ->’,0,,.’ I The power of the model lies in its ability to adapt a diagnostic session to the level of knowledge

  16. New Knowledge Derived from Learned Knowledge: Functional-Anatomic Correlates of Stimulus Equivalence

    ERIC Educational Resources Information Center

    Schlund, Michael W.; Hoehn-Saric, Rudolf; Cataldo, Michael F.

    2007-01-01

    Forming new knowledge based on knowledge established through prior learning is a central feature of higher cognition that is captured in research on stimulus equivalence (SE). Numerous SE investigations show that reinforcing behavior under control of distinct sets of arbitrary conditional relations gives rise to stimulus control by new, "derived"…

  17. Effects of pressure ulcer classification system education programme on knowledge and visual differential diagnostic ability of pressure ulcer classification and incontinence-associated dermatitis for clinical nurses in Korea.

    PubMed

    Lee, Yun Jin; Kim, Jung Yoon

    2016-03-01

    The objective of this study was to evaluate the effect of pressure ulcer classification system education on clinical nurses' knowledge and visual differential diagnostic ability of pressure ulcer (PU) classification and incontinence-associated dermatitis (IAD). One group pre and post-test was used. A convenience sample of 407 nurses, participating in PU classification education programme of continuing education, were enrolled. The education programme was composed of a 50-minute lecture on PU classification and case-studies. The PU Classification system and IAD knowledge test (PUCS-KT) and visual differential diagnostic ability tool (VDDAT), consisting of 21 photographs including clinical information were used. Paired t-test was performed using SPSS/WIN 20.0. The overall mean difference of PUCS-KT (t = -11·437, P<0·001) and VDDAT (t = -21·113, P<0·001) was significantly increased after PU classification education. Overall understanding of six PU classification and IAD after education programme was increased, but lacked visual differential diagnostic ability regarding Stage III PU, suspected deep tissue injury (SDTI), and Unstageable. Continuous differentiated education based on clinical practice is needed to improve knowledge and visual differential diagnostic ability for PU classification, and comparison experiment study is required to examine effects of education programmes. © 2016 Medicalhelplines.com Inc and John Wiley & Sons Ltd.

  18. Adaptive Prior Variance Calibration in the Bayesian Continual Reassessment Method

    PubMed Central

    Zhang, Jin; Braun, Thomas M.; Taylor, Jeremy M.G.

    2012-01-01

    Use of the Continual Reassessment Method (CRM) and other model-based approaches to design in Phase I clinical trials has increased due to the ability of the CRM to identify the maximum tolerated dose (MTD) better than the 3+3 method. However, the CRM can be sensitive to the variance selected for the prior distribution of the model parameter, especially when a small number of patients are enrolled. While methods have emerged to adaptively select skeletons and to calibrate the prior variance only at the beginning of a trial, there has not been any approach developed to adaptively calibrate the prior variance throughout a trial. We propose three systematic approaches to adaptively calibrate the prior variance during a trial and compare them via simulation to methods proposed to calibrate the variance at the beginning of a trial. PMID:22987660

  19. Incorporating linguistic knowledge for learning distributed word representations.

    PubMed

    Wang, Yan; Liu, Zhiyuan; Sun, Maosong

    2015-01-01

    Combined with neural language models, distributed word representations achieve significant advantages in computational linguistics and text mining. Most existing models estimate distributed word vectors from large-scale data in an unsupervised fashion, which, however, do not take rich linguistic knowledge into consideration. Linguistic knowledge can be represented as either link-based knowledge or preference-based knowledge, and we propose knowledge regularized word representation models (KRWR) to incorporate these prior knowledge for learning distributed word representations. Experiment results demonstrate that our estimated word representation achieves better performance in task of semantic relatedness ranking. This indicates that our methods can efficiently encode both prior knowledge from knowledge bases and statistical knowledge from large-scale text corpora into a unified word representation model, which will benefit many tasks in text mining.

  20. Incorporating Linguistic Knowledge for Learning Distributed Word Representations

    PubMed Central

    Wang, Yan; Liu, Zhiyuan; Sun, Maosong

    2015-01-01

    Combined with neural language models, distributed word representations achieve significant advantages in computational linguistics and text mining. Most existing models estimate distributed word vectors from large-scale data in an unsupervised fashion, which, however, do not take rich linguistic knowledge into consideration. Linguistic knowledge can be represented as either link-based knowledge or preference-based knowledge, and we propose knowledge regularized word representation models (KRWR) to incorporate these prior knowledge for learning distributed word representations. Experiment results demonstrate that our estimated word representation achieves better performance in task of semantic relatedness ranking. This indicates that our methods can efficiently encode both prior knowledge from knowledge bases and statistical knowledge from large-scale text corpora into a unified word representation model, which will benefit many tasks in text mining. PMID:25874581

  1. Pharmacy executives: leadership issues and associated skills, knowledge, and abilities in the U.S. Department of Defense.

    PubMed

    Meadows, Andrew B; Finstuen, Kenn; Hudak, Ronald P

    2003-01-01

    To identify the issues or problems that current and aspiring U.S. Department of Defense (DoD) pharmacy executives will face in the future and to define the skills, knowledge, and abilities (SKAs) required to successfully address these issues. Delphi method for executive decision making. DoD. Ninety-three pharmacists serving in the military grades of lieutenant colonel/commander and colonel/captain, as well as pharmacists selected for promotion to those grades. iterations of the Delphi method for executive decision making separated by an expert panel content analysis. Round 1--participants identified five major issues believed to be of greatest importance to pharmacy executives and reported specific SKAs that might be needed to successfully manage those issues. An expert panel sorted these issues into meaningful domains, then provided an appropriate title for each domain. Round 2--on a 7-point scale, respondents rated the SKA items according to their assessment of how much a future DoD pharmacy executive would need each SKA. Response rates were 44.1% and 46.2% for Delphi rounds 1 and 2, respectively. The first round generated 62 unique issues facing pharmacy executives. The expert panel reviewed and sorted the issues into eight domains and selected an appropriate title for each domain. The domains identified by the panel were human resources, pharmacy operations/business practices, information management and technology, financial resources, formulary management, drug therapy management, pharmacy benefit management, and leadership. During round 2, 73.3% of the top 15 rated SKAs came from the drug therapy management, leadership, and formulary management domains. The three highest-rated SKAs were "ability to see the big picture," "ability to build strong relations with medical staffs," and "skills in both writing and verbal communication." The issues facing future DoD pharmacy executives will require them to expand their clinical abilities as well as their ability to

  2. Students’ Cognitive Abilities in Plant Anatomy Practical Work

    NASA Astrophysics Data System (ADS)

    Setiono, S.; Rustaman, N. Y.; Rahmat, A.; Anggraeni, S.

    2017-09-01

    Cognitive abilities is fundamental for the students, as it is closely related to higher thinking skills such as the ability to think critically, creatively, and problem solving. This descriptive study aims to investigate the cognitive abilities of biology prospective teachers in the course of Plant Anatomy Practicum based on the cognitive process dimension and dimensions of knowledge the using the framework of Revision of Bloom taxonomy. A number of biology prospective teachers was involved in this study (n=42). The instrument used to collect data for students’ cognitive process mastery in the form of multiple choice with 5 options. Research finding shows that the average student’s cognitive ability is 68.10. The acquisition of knowledge mastery of cognitive ability is still under the criterion of mastery in the course of the Plant Anatomy Practicum (75). Validity and reliability of the instrument (0,71) and (0,81). It is necessary to design lecture programs both in the class and laboratory to develop student’ cognitive abilities.

  3. Figure-ground segmentation based on class-independent shape priors

    NASA Astrophysics Data System (ADS)

    Li, Yang; Liu, Yang; Liu, Guojun; Guo, Maozu

    2018-01-01

    We propose a method to generate figure-ground segmentation by incorporating shape priors into the graph-cuts algorithm. Given an image, we first obtain a linear representation of an image and then apply directional chamfer matching to generate class-independent, nonparametric shape priors, which provide shape clues for the graph-cuts algorithm. We then enforce shape priors in a graph-cuts energy function to produce object segmentation. In contrast to previous segmentation methods, the proposed method shares shape knowledge for different semantic classes and does not require class-specific model training. Therefore, the approach obtains high-quality segmentation for objects. We experimentally validate that the proposed method outperforms previous approaches using the challenging PASCAL VOC 2010/2012 and Berkeley (BSD300) segmentation datasets.

  4. Memory and the Moses illusion: failures to detect contradictions with stored knowledge yield negative memorial consequences.

    PubMed

    Bottoms, Hayden C; Eslick, Andrea N; Marsh, Elizabeth J

    2010-08-01

    Although contradictions with stored knowledge are common in daily life, people often fail to notice them. For example, in the Moses illusion, participants fail to notice errors in questions such as "How many animals of each kind did Moses take on the Ark?" despite later showing knowledge that the Biblical reference is to Noah, not Moses. We examined whether error prevalence affected participants' ability to detect distortions in questions, and whether this in turn had memorial consequences. Many of the errors were overlooked, but participants were better able to catch them when they were more common. More generally, the failure to detect errors had negative memorial consequences, increasing the likelihood that the errors were used to answer later general knowledge questions. Methodological implications of this finding are discussed, as it suggests that typical analyses likely underestimate the size of the Moses illusion. Overall, answering distorted questions can yield errors in the knowledge base; most importantly, prior knowledge does not protect against these negative memorial consequences.

  5. Aging and Memory as Discrimination: Influences of Encoding Specificity, Cue Overload, and Prior Knowledge

    PubMed Central

    2016-01-01

    From the perspective of memory-as-discrimination, whether a cue leads to correct retrieval simultaneously depends on the cue’s relationship to (a) the memory target and (b) the other retrieval candidates. A corollary of the view is that increasing encoding-retrieval match may only help memory if it improves the cue’s capacity to discriminate the target from competitors. Here, age differences in this discrimination process were assessed by manipulating the overlap between cues present at encoding and retrieval orthogonally with cue–target distinctiveness. In Experiment 1, associative memory differences for cue–target sets between young and older adults were minimized through training and retrieval efficiency was assessed through response time. In Experiment 2, age-group differences in associative memory were left to vary and retrieval efficiency was assessed through accuracy. Both experiments showed age-invariance in memory-as-discrimination: cues increasing encoding-retrieval match did not benefit memory unless they also improved discrimination between the target and competitors. Predictions based on the age-related associative deficit were also supported: prior knowledge alleviated age-related associative deficits (Experiment 1), and increasing encoding-retrieval match benefited older more than young adults (Experiment 2). We suggest that the latter occurred because older adults’ associative memory deficits reduced the impact of competing retrieval candidates—hence the age-related benefit was not attributable to encoding-retrieval match per se, but rather it was a joint function of an increased probability of the cue connecting to the target combined with a decrease in competing retrieval candidates. PMID:27831714

  6. Aging and memory as discrimination: Influences of encoding specificity, cue overload, and prior knowledge.

    PubMed

    Badham, Stephen P; Poirier, Marie; Gandhi, Navina; Hadjivassiliou, Anna; Maylor, Elizabeth A

    2016-11-01

    From the perspective of memory-as-discrimination, whether a cue leads to correct retrieval simultaneously depends on the cue's relationship to (a) the memory target and (b) the other retrieval candidates. A corollary of the view is that increasing encoding-retrieval match may only help memory if it improves the cue's capacity to discriminate the target from competitors. Here, age differences in this discrimination process were assessed by manipulating the overlap between cues present at encoding and retrieval orthogonally with cue-target distinctiveness. In Experiment 1, associative memory differences for cue-target sets between young and older adults were minimized through training and retrieval efficiency was assessed through response time. In Experiment 2, age-group differences in associative memory were left to vary and retrieval efficiency was assessed through accuracy. Both experiments showed age-invariance in memory-as-discrimination: cues increasing encoding-retrieval match did not benefit memory unless they also improved discrimination between the target and competitors. Predictions based on the age-related associative deficit were also supported: prior knowledge alleviated age-related associative deficits (Experiment 1), and increasing encoding-retrieval match benefited older more than young adults (Experiment 2). We suggest that the latter occurred because older adults' associative memory deficits reduced the impact of competing retrieval candidates-hence the age-related benefit was not attributable to encoding-retrieval match per se, but rather it was a joint function of an increased probability of the cue connecting to the target combined with a decrease in competing retrieval candidates. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  7. Cabri 3D - assisted collaborative learning to enhance junior high school students’ spatial ability

    NASA Astrophysics Data System (ADS)

    Muntazhimah; Miatun, A.

    2018-01-01

    The main purpose of this quasi-experimental study was to determine the enhancement of spatial ability of junior high school students who learned through Cabri-3D assisted collaborative learning. The methodology of this study was the nonequivalent group that was conducted to students of the eighth grade in a junior high school as a population. Samples consisted one class of the experimental group who studied with Cabri-3D assisted collaborative learning and one class as a control group who got regular learning activity. The instrument used in this study was a spatial ability test. Analyzing normalized gain of students’ spatial ability based on mathemathical prior knowledge (MPK) and its interactions was tested by two-way ANOVA at a significance level of 5% then continued with using Post Hoc Scheffe test. The research results showed that there was significant difference in enhancement of the spatial ability between students who learnt with Cabri 3D assisted collaborative learning and students who got regular learning, there was significant difference in enhancement of the spatial ability between students who learnt with cabri 3D assisted collaborative learning and students who got regular learning in terms of MPK and there is no significant interaction between learning (Cabri-3D assisted collaborative learning and regular learning) with students’ MPK (high, medium, and low) toward the enhancement of students’ spatial abilities. From the above findings, it can be seen that cabri-3D assisted collaborative learning could enhance spatial ability of junior high school students.

  8. Theoretical implementation of prior knowledge in the design of a multi-scale prosthesis satisfaction questionnaire.

    PubMed

    Schürmann, Tim; Beckerle, Philipp; Preller, Julia; Vogt, Joachim; Christ, Oliver

    2016-12-19

    In product development for lower limb prosthetic devices, a set of special criteria needs to be met. Prosthetic devices have a direct impact on the rehabilitation process after an amputation with both perceived technological and psychological aspects playing an important role. However, available psychometric questionnaires fail to consider the important links between these two dimensions. In this article a probabilistic latent trait model is proposed with seven technical and psychological factors which measure satisfaction with the prosthesis. The results of a first study are used to determine the basic parameters of the statistical model. These distributions represent hypotheses about factor loadings between manifest items and latent factors of the proposed psychometric questionnaire. A study was conducted and analyzed to form hypotheses for the prior distributions of the questionnaire's measurement model. An expert agreement study conducted on 22 experts was used to determine the prior distribution of item-factor loadings in the model. Model parameters that had to be specified as part of the measurement model were informed prior distributions on the item-factor loadings. For the current 70 items in the questionnaire, each factor loading was set to represent the certainty with which experts had assigned the items to their respective factors. Considering only the measurement model and not the structural model of the questionnaire, 70 out of 217 informed prior distributions on parameters were set. The use of preliminary studies to set prior distributions in latent trait models, while being a relatively new approach in psychological research, provides helpful information towards the design of a seven factor questionnaire that means to identify relations between technical and psychological factors in prosthetic product design and rehabilitation medicine.

  9. How Knowledge Powers Reading

    ERIC Educational Resources Information Center

    Lemov, Doug

    2017-01-01

    Recent research shows that reading comprehension relies heavily on prior knowledge. Far more than generic "reading skills" like drawing inferences, making predictions, and knowing the function of subheads, how well students learn from a nonfiction text depends on their background knowledge of the text's subject matter. And in a cyclical…

  10. Language Ability Predicts the Development of Behavior Problems in Children

    PubMed Central

    Petersen, Isaac T.; Bates, John E.; D’Onofrio, Brian M.; Coyne, Claire A.; Lansford, Jennifer E.; Dodge, Kenneth A.; Pettit, Gregory S.; Van Hulle, Carol A.

    2013-01-01

    Prior studies have suggested, but not fully established, that language ability is important for regulating attention and behavior. Language ability may have implications for understanding attention-deficit hyperactivity disorder (ADHD) and conduct disorders, as well as subclinical problems. This article reports findings from two longitudinal studies to test (a) whether language ability has an independent effect on behavior problems, and (b) the direction of effect between language ability and behavior problems. In Study 1 (N = 585), language ability was measured annually from ages 7 to 13 years by language subtests of standardized academic achievement tests administered at the children’s schools. Inattentive-hyperactive (I-H) and externalizing (EXT) problems were reported annually by teachers and mothers. In Study 2 (N = 11,506), language ability (receptive vocabulary) and mother-rated I-H and EXT problems were measured biannually from ages 4 to 12 years. Analyses in both studies showed that language ability predicted within-individual variability in the development of I-H and EXT problems over and above the effects of sex, ethnicity, socioeconomic status (SES), and performance in other academic and intellectual domains (e.g., math, reading comprehension, reading recognition, and short-term memory [STM]). Even after controls for prior levels of behavior problems, language ability predicted later behavior problems more strongly than behavior problems predicted later language ability, suggesting that the direction of effect may be from language ability to behavior problems. The findings suggest that language ability may be a useful target for the prevention or even treatment of attention deficits and EXT problems in children. PMID:23713507

  11. Segmentation of kidney using C-V model and anatomy priors

    NASA Astrophysics Data System (ADS)

    Lu, Jinghua; Chen, Jie; Zhang, Juan; Yang, Wenjia

    2007-12-01

    This paper presents an approach for kidney segmentation on abdominal CT images as the first step of a virtual reality surgery system. Segmentation for medical images is often challenging because of the objects' complicated anatomical structures, various gray levels, and unclear edges. A coarse to fine approach has been applied in the kidney segmentation using Chan-Vese model (C-V model) and anatomy prior knowledge. In pre-processing stage, the candidate kidney regions are located. Then C-V model formulated by level set method is applied in these smaller ROI, which can reduce the calculation complexity to a certain extent. At last, after some mathematical morphology procedures, the specified kidney structures have been extracted interactively with prior knowledge. The satisfying results on abdominal CT series show that the proposed approach keeps all the advantages of C-V model and overcome its disadvantages.

  12. Awareness tool for safe and responsible driving (OSCAR): a potential educational intervention for increasing interest, openness and knowledge about the abilities required and compensatory strategies among older drivers.

    PubMed

    Levasseur, Mélanie; Audet, Thérèse; Gélinas, Isabelle; Bédard, Michel; Langlais, Marie-Ève; Therrien, France-Hélène; Renaud, Judith; Coallier, Jean-Claude; D'Amours, Monia

    2015-01-01

    This pilot study aimed to verify the impact of the awareness tool for safe and responsible driving (OSCAR) on older adults' (1) interest, openness, and knowledge about the abilities and compensatory strategies required for safe driving; (2) awareness of changes that have occurred in their own driving abilities; and (3) actual utilization of compensatory strategies. A preexperimental design, including a pretest (T0) and posttest (T1) 8 to 10 weeks after exposure to the intervention, was used with 48 drivers aged between 67 and 84. The participants had a valid driving license and drove at least once a week. Overall, the results demonstrate that OSCAR increased interest, openness, and knowledge about the abilities and compensatory strategies of older drivers (P <.01). After exposure to OSCAR, the majority of the participants confirmed that changes had occurred in at least one of their abilities. Moreover, half of the older drivers reported having started using 6 or more compensatory strategies. In summary, in addition to increasing older adults' interest, openness, and knowledge to discussion about driving, OSCAR also improved awareness of the changes that could negatively impact safe driving and enhanced utilization of compensatory strategies. While promoting safe driving and the prevention of crashes and injuries, this intervention could ultimately help older adults maintain or increase their transportation mobility. More studies are needed to further evaluate OSCAR and identify ways to improve its effectiveness.

  13. Folate knowledge and consumer behaviour among pregnant New Zealand women prior to the potential introduction of mandatory fortification.

    PubMed

    Mallard, Simonette R; Houghton, Lisa A

    2012-01-01

    To reduce the risk of neural tube defects, the New Zealand Ministry of Health recommends women take supplemental folic acid from at least one month preconception until the end of the twelfth week of pregnancy, as well as consume folate-rich foods. A postpartum survey was conducted to describe folate knowledge and consumer behaviour among pregnant New Zealand women prior to the potential implementation of mandatory folic acid fortification of bread in May 2012. Increasing knowledge of folic acid recommendations was associated with higher supplement uptake among women who planned their pregnancies (p=0.001 for linear trend). Folic acid information failed to adequately reach some socio-demographic subgroups before conception, even when pregnancy was planned, including: indigenous Maori, Pacific and Asian women, younger women, women with large families, and women with lower educational attainment and income. Only half of all women surveyed knew some bread contained added folic acid, and among these women, less than 2% consistently chose voluntarily fortified bread during the periconceptional period by inspecting labels. Sixty-one percent of women indicated they were either in favour of mandatory fortification, or held no opinion on the matter, while 4% were opposed to the addition of folic acid to bread. Approximately one-third (35%) of women agreed with voluntary fortification. Future health promotion initiatives should be tailored toward women who are younger, less educated, with lower income, multiparous or of minority ethnicity status. Nonetheless, mandatory folic acid fortification may be required to attain the desired degree of equity.

  14. Spatial Abilities of Medical Graduates and Choice of Residency Programs

    ERIC Educational Resources Information Center

    Langlois, Jean; Wells, George A.; Lecourtois, Marc; Bergeron, Germain; Yetisir, Elizabeth; Martin, Marcel

    2015-01-01

    Spatial abilities have been related in previous studies to three-dimensional (3D) anatomy knowledge and the performance in technical skills. The objective of this study was to relate spatial abilities to residency programs with different levels of content of 3D anatomy knowledge and technical skills. The hypothesis was that the choice of residency…

  15. Can a Short Intensive Course Affect Entrepreneurial Ability, Knowledge and Intent, or Further Entrepreneurial Study? An Assessment of the SEED Programme, Dunedin, New Zealand

    ERIC Educational Resources Information Center

    Cornwall, Jon; Kirkwood, Jodyanne; Clark, Gavin J.; Silvey, Stephen; Appleby, Ruth D.; Wolkenhauer, Svea Mara; Panjabi, Jayashree; Gluyas, Eva; Brain, Chelsea; Abbott, Matthew

    2015-01-01

    The SEED (Student Enterprise Experience in Dunedin) programme was developed as a four-week, intensive entrepreneurial "boot camp" to provide a small group of participants with a highly experiential business course. Using pre-course and post-course surveys, the authors measured the entrepreneurial ability, knowledge and intentions of the…

  16. High School Students' Meta-Modeling Knowledge

    NASA Astrophysics Data System (ADS)

    Fortus, David; Shwartz, Yael; Rosenfeld, Sherman

    2016-12-01

    Modeling is a core scientific practice. This study probed the meta-modeling knowledge (MMK) of high school students who study science but had not had any explicit prior exposure to modeling as part of their formal schooling. Our goals were to (A) evaluate the degree to which MMK is dependent on content knowledge and (B) assess whether the upper levels of the modeling learning progression defined by Schwarz et al. (2009) are attainable by Israeli K-12 students. Nine Israeli high school students studying physics, chemistry, biology, or general science were interviewed individually, once using a context related to the science subject that they were learning and once using an unfamiliar context. All the interviewees displayed MMK superior to that of elementary and middle school students, despite the lack of formal instruction on the practice. Their MMK was independent of content area, but their ability to engage in the practice of modeling was content dependent. This study indicates that, given proper support, the upper levels of the learning progression described by Schwarz et al. (2009) may be attainable by K-12 science students. The value of explicitly focusing on MMK as a learning goal in science education is considered.

  17. Tools of the trade: Improving nurses' ability to access and evaluate research.

    PubMed

    Sleutel, Martha R; Bullion, John W; Sullivan, Ronnie

    2018-03-01

    To evaluate the effect of a manager-required RN competency on staff nurses' perceived knowledge, ability and frequency of information-seeking activities. Basing clinical practice on research and standards of care is essential to delivering appropriate care with optimal outcomes. Nurses' information-seeking abilities are critical for acquiring evidence-based answers to aid clinical decision-making, yet nurses under-utilize library resources and report barriers. A unit manager sought to test the effect of an innovative competency for acquiring and appraising evidence for practice. This longitudinal descriptive study evaluated 28 nurses before and after a 1-hr class, as well as 5 months later. The class covered library information services and the basics of critiquing research articles. Nurses had statistically significant improvements in four of five items measuring knowledge/ability and four of five items measuring frequency of information-seeking activities. At 5 months, most knowledge/ability items increased. There was no effect of nurse characteristics on outcomes. A required competency improved nurses' knowledge, ability and frequency of acquiring and appraising evidence with a single 1-hr class and a hands-on practice activity. Unit managers can have great impact on nurses' use of evidence for practice. © 2018 John Wiley & Sons Ltd.

  18. Automatic Detection of Student Mental Models during Prior Knowledge Activation in MetaTutor

    ERIC Educational Resources Information Center

    Rus, Vasile; Lintean, Mihai; Azevedo, Roger

    2009-01-01

    This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…

  19. Dissecting effects of complex mixtures: who's afraid of informative priors?

    PubMed

    Thomas, Duncan C; Witte, John S; Greenland, Sander

    2007-03-01

    Epidemiologic studies commonly investigate multiple correlated exposures, which are difficult to analyze appropriately. Hierarchical modeling provides a promising approach for analyzing such data by adding a higher-level structure or prior model for the exposure effects. This prior model can incorporate additional information on similarities among the correlated exposures and can be parametric, semiparametric, or nonparametric. We discuss the implications of applying these models and argue for their expanded use in epidemiology. While a prior model adds assumptions to the conventional (first-stage) model, all statistical methods (including conventional methods) make strong intrinsic assumptions about the processes that generated the data. One should thus balance prior modeling assumptions against assumptions of validity, and use sensitivity analyses to understand their implications. In doing so - and by directly incorporating into our analyses information from other studies or allied fields - we can improve our ability to distinguish true causes of disease from noise and bias.

  20. Explication: Working to Discover and Share New Knowledge from Prior Experience

    ERIC Educational Resources Information Center

    Franklin, Peter

    2007-01-01

    Purpose: The purpose of this paper is to develop the sustained argument that explication can contribute to the emergence and development of the philosopher-manager who is appropriately sceptical of generalisations, and confident in their own abilities to develop local, valid and meaningful theories based on their wisdom and personal experience.…

  1. Influence of prior knowledge of exercise duration on pacing strategies during game-based activities.

    PubMed

    Gabbett, Tim J; Walker, Ben; Walker, Shane

    2015-04-01

    To investigate the influence of prior knowledge of exercise duration on the pacing strategies employed during game-based activities. Twelve semiprofessional team-sport athletes (mean ± SD age 22.8 ± 2.1 y) participated in this study. Players performed 3 small-sided games in random order. In one condition (Control), players were informed that they would play the small-sided game for 12 min and then completed the 12-min game. In a 2nd condition (Deception), players were told that they would play the small-sided game for 6 minutes, but after completing the 6-min game, they were asked to complete another 6 min. In a 3rd condition (Unknown), players were not told how long they would be required to play the small-sided game, but the activity was terminated after 12 min. Movement was recorded using a GPS unit sampling at 10 Hz. Post hoc inspection of video footage was undertaken to count the number of possessions and the number and quality of disposals. Higher initial intensities were observed in the Deception (130.6 ± 3.3 m/min) and Unknown (129.3 ± 2.4 m/min) conditions than the Control condition (123.3 ± 3.4 m/min). Greater amounts of high-speed running occurred during the initial phases of the Deception condition, and more low-speed activity occurred during the Unknown condition. A moderately greater number of total skill involvements occurred in the Unknown condition than the Control condition. These findings suggest that during game-based activities, players alter their pacing strategy based on the anticipated endpoint of the exercise bout.

  2. The Relationship between Creative Thinking Ability and Creative Personality of Preschoolers

    ERIC Educational Resources Information Center

    Lee, Kyung-Hwa

    2005-01-01

    This study investigates the relationship between creative thinking ability and creative personality of preschoolers. Prior research showed that the correlation coefficient between creative thinking ability and creative personality of teenagers was very low (Hah, 1999), so this research was undertaken to validate the test and to examine how…

  3. Automatized spleen segmentation in non-contrast-enhanced MR volume data using subject-specific shape priors

    NASA Astrophysics Data System (ADS)

    Gloger, Oliver; Tönnies, Klaus; Bülow, Robin; Völzke, Henry

    2017-07-01

    To develop the first fully automated 3D spleen segmentation framework derived from T1-weighted magnetic resonance (MR) imaging data and to verify its performance for spleen delineation and volumetry. This approach considers the issue of low contrast between spleen and adjacent tissue in non-contrast-enhanced MR images. Native T1-weighted MR volume data was performed on a 1.5 T MR system in an epidemiological study. We analyzed random subsamples of MR examinations without pathologies to develop and verify the spleen segmentation framework. The framework is modularized to include different kinds of prior knowledge into the segmentation pipeline. Classification by support vector machines differentiates between five different shape types in computed foreground probability maps and recognizes characteristic spleen regions in axial slices of MR volume data. A spleen-shape space generated by training produces subject-specific prior shape knowledge that is then incorporated into a final 3D level set segmentation method. Individually adapted shape-driven forces as well as image-driven forces resulting from refined foreground probability maps steer the level set successfully to the segment the spleen. The framework achieves promising segmentation results with mean Dice coefficients of nearly 0.91 and low volumetric mean errors of 6.3%. The presented spleen segmentation approach can delineate spleen tissue in native MR volume data. Several kinds of prior shape knowledge including subject-specific 3D prior shape knowledge can be used to guide segmentation processes achieving promising results.

  4. WE-F-BRB-00: New Developments in Knowledge-Based Treatment Planning and Automation

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    NONE

    2015-06-15

    Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

  5. Phantom experiments using soft-prior regularization EIT for breast cancer imaging.

    PubMed

    Murphy, Ethan K; Mahara, Aditya; Wu, Xiaotian; Halter, Ryan J

    2017-06-01

    A soft-prior regularization (SR) electrical impedance tomography (EIT) technique for breast cancer imaging is described, which shows an ability to accurately reconstruct tumor/inclusion conductivity values within a dense breast model investigated using a cylindrical and a breast-shaped tank. The SR-EIT method relies on knowing the spatial location of a suspicious lesion initially detected from a second imaging modality. Standard approaches (using Laplace smoothing and total variation regularization) without prior structural information are unable to accurately reconstruct or detect the tumors. The soft-prior approach represents a very significant improvement to these standard approaches, and has the potential to improve conventional imaging techniques, such as automated whole breast ultrasound (AWB-US), by providing electrical property information of suspicious lesions to improve AWB-US's ability to discriminate benign from cancerous lesions. Specifically, the best soft-regularization technique found average absolute tumor/inclusion errors of 0.015 S m -1 for the cylindrical test and 0.055 S m -1 and 0.080 S m -1 for the breast-shaped tank for 1.8 cm and 2.5 cm inclusions, respectively. The standard approaches were statistically unable to distinguish the tumor from the mammary gland tissue. An analysis of false tumors (benign suspicious lesions) provides extra insight into the potential and challenges EIT has for providing clinically relevant information. The ability to obtain accurate conductivity values of a suspicious lesion (>1.8 cm) detected from another modality (e.g. AWB-US) could significantly reduce false positives and result in a clinically important technology.

  6. Bayesian hierarchical functional data analysis via contaminated informative priors.

    PubMed

    Scarpa, Bruno; Dunson, David B

    2009-09-01

    A variety of flexible approaches have been proposed for functional data analysis, allowing both the mean curve and the distribution about the mean to be unknown. Such methods are most useful when there is limited prior information. Motivated by applications to modeling of temperature curves in the menstrual cycle, this article proposes a flexible approach for incorporating prior information in semiparametric Bayesian analyses of hierarchical functional data. The proposed approach is based on specifying the distribution of functions as a mixture of a parametric hierarchical model and a nonparametric contamination. The parametric component is chosen based on prior knowledge, while the contamination is characterized as a functional Dirichlet process. In the motivating application, the contamination component allows unanticipated curve shapes in unhealthy menstrual cycles. Methods are developed for posterior computation, and the approach is applied to data from a European fecundability study.

  7. 5 CFR 4701.102 - Prior approval for certain outside employment.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... STANDARDS OF ETHICAL CONDUCT FOR EMPLOYEES OF THE FEDERAL ELECTION COMMISSION § 4701.102 Prior approval for... or consultation, which requires advanced knowledge in a field of science or learning customarily... obtain written approval from the Designated Agency Ethics Official before engaging in outside employment...

  8. 5 CFR 4701.102 - Prior approval for certain outside employment.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... STANDARDS OF ETHICAL CONDUCT FOR EMPLOYEES OF THE FEDERAL ELECTION COMMISSION § 4701.102 Prior approval for... or consultation, which requires advanced knowledge in a field of science or learning customarily... obtain written approval from the Designated Agency Ethics Official before engaging in outside employment...

  9. 5 CFR 4701.102 - Prior approval for certain outside employment.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... STANDARDS OF ETHICAL CONDUCT FOR EMPLOYEES OF THE FEDERAL ELECTION COMMISSION § 4701.102 Prior approval for... or consultation, which requires advanced knowledge in a field of science or learning customarily... obtain written approval from the Designated Agency Ethics Official before engaging in outside employment...

  10. Assessing the Knowledge, Skills, and Abilities of Public Health Professionals in Big City Governmental Health Departments.

    PubMed

    McGinty, Meghan D; Castrucci, Brian C; Rios, Debra M

    2017-12-13

    To identify essential knowledge, skills, and abilities (KSAs) for and characterize gaps in KSAs of professionals working in large, urban health departments. A survey was disseminated to potentially eligible supervisors within 26 of 28 health departments in the largest, most urban jurisdictions in the country. A supervisor was eligible to participate if he or she supervised at least 1 staff member whose highest level of education was a master's degree. A total of 645 eligible supervisors participated in the workforce survey for a response rate of 27.1% and cooperation rate of 55.2%. Supervisors were asked to rate the importance of KSAs to their masters-level staffs' work and indicate their staffs' proficiency. Fifty-eight percent of supervisors reported supervising staff with a master of public health/master of science in public health degree. More than 30% of supervisors indicated that all of the 30 KSAs were essential. Four of the top 10 KSAs rated as essential by supervisors pertained to the ability to communicate. The top skills gaps perceived by supervisors were professional staffs' ability to apply quality improvement concepts to their work (38.0%), understanding of the political system (37.7%), and ability to anticipate changes (33.8%). Public health practitioners receive training in methods, theories, and evidence-based approaches, yet further investment in the workforce is necessary to advance population health. A focus should be placed developing strategic skills rather than advancing narrow specialties. Findings from this research can guide the creation and implementation of training curricula and professional development programs offered within local health departments or targeted to their staff, as well as satisfaction of accreditation requirements. By focusing on building strategic skills, we can ensure a public health workforce that is equipped with the KSAs necessary to practice Public Health 3.0 and leaders who are able to serve as their communities

  11. Bayesian generalized linear mixed modeling of Tuberculosis using informative priors.

    PubMed

    Ojo, Oluwatobi Blessing; Lougue, Siaka; Woldegerima, Woldegebriel Assefa

    2017-01-01

    TB is rated as one of the world's deadliest diseases and South Africa ranks 9th out of the 22 countries with hardest hit of TB. Although many pieces of research have been carried out on this subject, this paper steps further by inculcating past knowledge into the model, using Bayesian approach with informative prior. Bayesian statistics approach is getting popular in data analyses. But, most applications of Bayesian inference technique are limited to situations of non-informative prior, where there is no solid external information about the distribution of the parameter of interest. The main aim of this study is to profile people living with TB in South Africa. In this paper, identical regression models are fitted for classical and Bayesian approach both with non-informative and informative prior, using South Africa General Household Survey (GHS) data for the year 2014. For the Bayesian model with informative prior, South Africa General Household Survey dataset for the year 2011 to 2013 are used to set up priors for the model 2014.

  12. Bayesian generalized linear mixed modeling of Tuberculosis using informative priors

    PubMed Central

    Woldegerima, Woldegebriel Assefa

    2017-01-01

    TB is rated as one of the world’s deadliest diseases and South Africa ranks 9th out of the 22 countries with hardest hit of TB. Although many pieces of research have been carried out on this subject, this paper steps further by inculcating past knowledge into the model, using Bayesian approach with informative prior. Bayesian statistics approach is getting popular in data analyses. But, most applications of Bayesian inference technique are limited to situations of non-informative prior, where there is no solid external information about the distribution of the parameter of interest. The main aim of this study is to profile people living with TB in South Africa. In this paper, identical regression models are fitted for classical and Bayesian approach both with non-informative and informative prior, using South Africa General Household Survey (GHS) data for the year 2014. For the Bayesian model with informative prior, South Africa General Household Survey dataset for the year 2011 to 2013 are used to set up priors for the model 2014. PMID:28257437

  13. Identification of Knowledge, Skills, and Abilities for Army Design

    DTIC Science & Technology

    2014-04-01

    the problem. Ntuen and Leedom (2007) emphasized that an agile and adaptive commander regularly engages in metacognitive processes to assess whether the...described reflective thinking and metacognition as vital components of design. They described reflective thinking as involving self-awareness of...and evolutionary. It wasn’t like we sat down to write a battalion operations order.” Finally, the ability to hold and consider two distinct, and

  14. Numerical approximation abilities correlate with and predict informal but not formal mathematics abilities

    PubMed Central

    Libertus, Melissa E.; Feigenson, Lisa; Halberda, Justin

    2013-01-01

    Previous research has found a relationship between individual differences in children’s precision when nonverbally approximating quantities and their school mathematics performance. School mathematics performance emerges from both informal (e.g., counting) and formal (e.g., knowledge of mathematics facts) abilities. It remains unknown whether approximation precision relates to both of these types of mathematics abilities. In the present study we assessed the precision of numerical approximation in 85 3- to 7-year-old children four times over a span of two years. Additionally, at the last time point, we tested children’s informal and formal mathematics abilities using the Test of Early Mathematics Ability (TEMA-3; Ginsburg & Baroody, 2003). We found that children’s numerical approximation precision correlated with and predicted their informal, but not formal, mathematics abilities when controlling for age and IQ. These results add to our growing understanding of the relationship between an unlearned, non-symbolic system of quantity representation and the system of mathematical reasoning that children come to master through instruction. PMID:24076381

  15. Numerical approximation abilities correlate with and predict informal but not formal mathematics abilities.

    PubMed

    Libertus, Melissa E; Feigenson, Lisa; Halberda, Justin

    2013-12-01

    Previous research has found a relationship between individual differences in children's precision when nonverbally approximating quantities and their school mathematics performance. School mathematics performance emerges from both informal (e.g., counting) and formal (e.g., knowledge of mathematics facts) abilities. It remains unknown whether approximation precision relates to both of these types of mathematics abilities. In the current study, we assessed the precision of numerical approximation in 85 3- to 7-year-old children four times over a span of 2years. In addition, at the final time point, we tested children's informal and formal mathematics abilities using the Test of Early Mathematics Ability (TEMA-3). We found that children's numerical approximation precision correlated with and predicted their informal, but not formal, mathematics abilities when controlling for age and IQ. These results add to our growing understanding of the relationship between an unlearned nonsymbolic system of quantity representation and the system of mathematics reasoning that children come to master through instruction. Copyright © 2013 Elsevier Inc. All rights reserved.

  16. Knowledge management: An abstraction of knowledge base and database management systems

    NASA Technical Reports Server (NTRS)

    Riedesel, Joel D.

    1990-01-01

    Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.

  17. Elapsed decision time affects the weighting of prior probability in a perceptual decision task

    PubMed Central

    Hanks, Timothy D.; Mazurek, Mark E.; Kiani, Roozbeh; Hopp, Elizabeth; Shadlen, Michael N.

    2012-01-01

    Decisions are often based on a combination of new evidence with prior knowledge of the probable best choice. Optimal combination requires knowledge about the reliability of evidence, but in many realistic situations, this is unknown. Here we propose and test a novel theory: the brain exploits elapsed time during decision formation to combine sensory evidence with prior probability. Elapsed time is useful because (i) decisions that linger tend to arise from less reliable evidence, and (ii) the expected accuracy at a given decision time depends on the reliability of the evidence gathered up to that point. These regularities allow the brain to combine prior information with sensory evidence by weighting the latter in accordance with reliability. To test this theory, we manipulated the prior probability of the rewarded choice while subjects performed a reaction-time discrimination of motion direction using a range of stimulus reliabilities that varied from trial to trial. The theory explains the effect of prior probability on choice and reaction time over a wide range of stimulus strengths. We found that prior probability was incorporated into the decision process as a dynamic bias signal that increases as a function of decision time. This bias signal depends on the speed-accuracy setting of human subjects, and it is reflected in the firing rates of neurons in the lateral intraparietal cortex (LIP) of rhesus monkeys performing this task. PMID:21525274

  18. Elapsed decision time affects the weighting of prior probability in a perceptual decision task.

    PubMed

    Hanks, Timothy D; Mazurek, Mark E; Kiani, Roozbeh; Hopp, Elisabeth; Shadlen, Michael N

    2011-04-27

    Decisions are often based on a combination of new evidence with prior knowledge of the probable best choice. Optimal combination requires knowledge about the reliability of evidence, but in many realistic situations, this is unknown. Here we propose and test a novel theory: the brain exploits elapsed time during decision formation to combine sensory evidence with prior probability. Elapsed time is useful because (1) decisions that linger tend to arise from less reliable evidence, and (2) the expected accuracy at a given decision time depends on the reliability of the evidence gathered up to that point. These regularities allow the brain to combine prior information with sensory evidence by weighting the latter in accordance with reliability. To test this theory, we manipulated the prior probability of the rewarded choice while subjects performed a reaction-time discrimination of motion direction using a range of stimulus reliabilities that varied from trial to trial. The theory explains the effect of prior probability on choice and reaction time over a wide range of stimulus strengths. We found that prior probability was incorporated into the decision process as a dynamic bias signal that increases as a function of decision time. This bias signal depends on the speed-accuracy setting of human subjects, and it is reflected in the firing rates of neurons in the lateral intraparietal area (LIP) of rhesus monkeys performing this task.

  19. Optimal Multiple Surface Segmentation With Shape and Context Priors

    PubMed Central

    Bai, Junjie; Garvin, Mona K.; Sonka, Milan; Buatti, John M.; Wu, Xiaodong

    2014-01-01

    Segmentation of multiple surfaces in medical images is a challenging problem, further complicated by the frequent presence of weak boundary evidence, large object deformations, and mutual influence between adjacent objects. This paper reports a novel approach to multi-object segmentation that incorporates both shape and context prior knowledge in a 3-D graph-theoretic framework to help overcome the stated challenges. We employ an arc-based graph representation to incorporate a wide spectrum of prior information through pair-wise energy terms. In particular, a shape-prior term is used to penalize local shape changes and a context-prior term is used to penalize local surface-distance changes from a model of the expected shape and surface distances, respectively. The globally optimal solution for multiple surfaces is obtained by computing a maximum flow in a low-order polynomial time. The proposed method was validated on intraretinal layer segmentation of optical coherence tomography images and demonstrated statistically significant improvement of segmentation accuracy compared to our earlier graph-search method that was not utilizing shape and context priors. The mean unsigned surface positioning errors obtained by the conventional graph-search approach (6.30 ± 1.58 μm) was improved to 5.14 ± 0.99 μm when employing our new method with shape and context priors. PMID:23193309

  20. Balancing the Role of Priors in Multi-Observer Segmentation Evaluation

    PubMed Central

    Huang, Xiaolei; Wang, Wei; Lopresti, Daniel; Long, Rodney; Antani, Sameer; Xue, Zhiyun; Thoma, George

    2009-01-01

    Comparison of a group of multiple observer segmentations is known to be a challenging problem. A good segmentation evaluation method would allow different segmentations not only to be compared, but to be combined to generate a “true” segmentation with higher consensus. Numerous multi-observer segmentation evaluation approaches have been proposed in the literature, and STAPLE in particular probabilistically estimates the true segmentation by optimal combination of observed segmentations and a prior model of the truth. An Expectation–Maximization (EM) algorithm, STAPLE’S convergence to the desired local minima depends on good initializations for the truth prior and the observer-performance prior. However, accurate modeling of the initial truth prior is nontrivial. Moreover, among the two priors, the truth prior always dominates so that in certain scenarios when meaningful observer-performance priors are available, STAPLE can not take advantage of that information. In this paper, we propose a Bayesian decision formulation of the problem that permits the two types of prior knowledge to be integrated in a complementary manner in four cases with differing application purposes: (1) with known truth prior; (2) with observer prior; (3) with neither truth prior nor observer prior; and (4) with both truth prior and observer prior. The third and fourth cases are not discussed (or effectively ignored) by STAPLE, and in our research we propose a new method to combine multiple-observer segmentations based on the maximum a posterior (MAP) principle, which respects the observer prior regardless of the availability of the truth prior. Based on the four scenarios, we have developed a web-based software application that implements the flexible segmentation evaluation framework for digitized uterine cervix images. Experiment results show that our framework has flexibility in effectively integrating different priors for multi-observer segmentation evaluation and it also

  1. Making judgments about ability: the role of implicit theories of ability in moderating inferences from temporal and social comparison information.

    PubMed

    Butler, R

    2000-05-01

    Two studies examined the novel proposal that implicit theories of intelligence (C. S. Dweck & E. L. Leggett, 1988) moderate both the effects of performance trends on ability inferences and the perceived diagnosticity of temporal versus normative feedback. Results from 613 adolescents and 42 teachers confirmed that entity theorists perceived initial outcome as more diagnostic and inferred higher ability in another (Study 1) and in the self (Study 2) in a declining outcome condition; incremental theorists perceived last outcome as more diagnostic and inferred higher ability in an ascending condition. Experimental induction of beliefs about ability had similar effects. As predicted, self-appraisal was affected more by temporal feedback among incremental theorists and by normative feedback among entity theorists. Results help resolve prior mixed findings regarding order effects and responses to temporal and normative evaluation.

  2. Interplay between Content Knowledge and Scientific Argumentation

    ERIC Educational Resources Information Center

    Hakyolu, Hanife; Ogan-Bekiroglu, Feral

    2016-01-01

    This research study aimed to analyze the relationship between content knowledge and argumentation by examining students' prior subject matter knowledge and their production of arguments as well as by comparing students' arguments with their knowledge-in-use during scientific argumentation sessions. A correlational research design was carried out…

  3. Contribution of Morphological Awareness and Lexical Inferencing Ability to L2 Vocabulary Knowledge and Reading Comprehension among Advanced EFL Learners: Testing Direct and Indirect Effects

    ERIC Educational Resources Information Center

    Zhang, Dongbo; Koda, Keiko

    2012-01-01

    Within the Structural Equation Modeling framework, this study tested the direct and indirect effects of morphological awareness and lexical inferencing ability on L2 vocabulary knowledge and reading comprehension among advanced Chinese EFL readers in a university in China. Using both regular z-test and the bootstrapping (data-based resampling)…

  4. Bayesian bivariate meta-analysis of diagnostic test studies with interpretable priors.

    PubMed

    Guo, Jingyi; Riebler, Andrea; Rue, Håvard

    2017-08-30

    In a bivariate meta-analysis, the number of diagnostic studies involved is often very low so that frequentist methods may result in problems. Using Bayesian inference is particularly attractive as informative priors that add a small amount of information can stabilise the analysis without overwhelming the data. However, Bayesian analysis is often computationally demanding and the selection of the prior for the covariance matrix of the bivariate structure is crucial with little data. The integrated nested Laplace approximations method provides an efficient solution to the computational issues by avoiding any sampling, but the important question of priors remain. We explore the penalised complexity (PC) prior framework for specifying informative priors for the variance parameters and the correlation parameter. PC priors facilitate model interpretation and hyperparameter specification as expert knowledge can be incorporated intuitively. We conduct a simulation study to compare the properties and behaviour of differently defined PC priors to currently used priors in the field. The simulation study shows that the PC prior seems beneficial for the variance parameters. The use of PC priors for the correlation parameter results in more precise estimates when specified in a sensible neighbourhood around the truth. To investigate the usage of PC priors in practice, we reanalyse a meta-analysis using the telomerase marker for the diagnosis of bladder cancer and compare the results with those obtained by other commonly used modelling approaches. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

  5. Scientific Knowledge Discovery in Complex Semantic Networks of Geophysical Systems

    NASA Astrophysics Data System (ADS)

    Fox, P.

    2012-04-01

    The vast majority of explorations of the Earth's systems are limited in their ability to effectively explore the most important (often most difficult) problems because they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. Recent successes in the application of complex network theory and algorithms to climate data, raise expectations that more general graph-based approaches offer the opportunity for new discoveries. In the past ~ 5 years in the natural sciences there has substantial progress in providing both specialists and non-specialists the ability to describe in machine readable form, geophysical quantities and relations among them in meaningful and natural ways, effectively breaking the prior syntax barrier. The corresponding open-world semantics and reasoning provide higher-level interconnections. That is, semantics provided around the data structures, using semantically-equipped tools, and semantically aware interfaces between science application components allowing for discovery at the knowledge level. More recently, formal semantic approaches to continuous and aggregate physical processes are beginning to show promise and are soon likely to be ready to apply to geoscientific systems. To illustrate these opportunities, this presentation presents two application examples featuring domain vocabulary (ontology) and property relations (named and typed edges in the graphs). First, a climate knowledge discovery pilot encoding and exploration of CMIP5 catalog information with the eventual goal to encode and explore CMIP5 data. Second, a multi-stakeholder knowledge network for integrated assessments in marine ecosystems, where the data is highly inter-disciplinary.

  6. Affective Variables and Japanese L2 Reading Ability

    ERIC Educational Resources Information Center

    Kondo-Brown, Kimi

    2006-01-01

    This study investigates how 17 affective factors are related to Japanese second language (L2) reading comprehension and "kanji" knowledge test scores of 43 university students in advanced Japanese courses. Major findings are that: a) reading comprehension ability and "kanji" knowledge have direct associations with…

  7. Mathematical Learning Models that Depend on Prior Knowledge and Instructional Strategies

    ERIC Educational Resources Information Center

    Pritchard, David E.; Lee, Young-Jin; Bao, Lei

    2008-01-01

    We present mathematical learning models--predictions of student's knowledge vs amount of instruction--that are based on assumptions motivated by various theories of learning: tabula rasa, constructivist, and tutoring. These models predict the improvement (on the post-test) as a function of the pretest score due to intervening instruction and also…

  8. Prior familiarity with components enhances unconscious learning of relations.

    PubMed

    Scott, Ryan B; Dienes, Zoltan

    2010-03-01

    The influence of prior familiarity with components on the implicit learning of relations was examined using artificial grammar learning. Prior to training on grammar strings, participants were familiarized with either the novel symbols used to construct the strings or with irrelevant geometric shapes. Participants familiarized with the relevant symbols showed greater accuracy when judging the correctness of new grammar strings. Familiarity with elemental components did not increase conscious awareness of the basis for discriminations (structural knowledge) but increased accuracy even in its absence. The subjective familiarity of test strings predicted grammaticality judgments. However, prior exposure to relevant symbols did not increase overall test string familiarity or reliance on familiarity when making grammaticality judgments. Familiarity with the symbols increased the learning of relations between them (bigrams and trigrams) thus resulting in greater familiarity for grammatical versus ungrammatical strings. The results have important implications for models of implicit learning.

  9. The illogicality of stock-brokers: psychological experiments on the effects of prior knowledge and belief biases on logical reasoning in stock trading.

    PubMed

    Knauff, Markus; Budeck, Claudia; Wolf, Ann G; Hamburger, Kai

    2010-10-18

    Explanations for the current worldwide financial crisis are primarily provided by economists and politicians. However, in the present work we focus on the psychological-cognitive factors that most likely affect the thinking of people on the economic stage and thus might also have had an effect on the progression of the crises. One of these factors might be the effect of prior beliefs on reasoning and decision-making. So far, this question has been explored only to a limited extent. We report two experiments on logical reasoning competences of nineteen stock-brokers with long-lasting vocational experiences at the stock market. The premises of reasoning problems concerned stock trading and the experiments varied whether or not their conclusions--a proposition which is reached after considering the premises--agreed with the brokers' prior beliefs. Half of the problems had a conclusion that was highly plausible for stock-brokers while the other half had a highly implausible conclusion. The data show a strong belief bias. Stock-brokers were strongly biased by their prior knowledge. Lowest performance was found for inferences in which the problems caused a conflict between logical validity and the experts' belief. In these cases, the stock-brokers tended to make logically invalid inferences rather than give up their existing beliefs. Our findings support the thesis that cognitive factors have an effect on the decision-making on the financial market. In the present study, stock-brokers were guided more by past experience and existing beliefs than by logical thinking and rational decision-making. They had difficulties to disengage themselves from vastly anchored thinking patterns. However, we believe, that it is wrong to accuse the brokers for their "malfunctions", because such hard-wired cognitive principles are difficult to suppress even if the person is aware of them.

  10. Effects of prior information on decoding degraded speech: an fMRI study.

    PubMed

    Clos, Mareike; Langner, Robert; Meyer, Martin; Oechslin, Mathias S; Zilles, Karl; Eickhoff, Simon B

    2014-01-01

    Expectations and prior knowledge are thought to support the perceptual analysis of incoming sensory stimuli, as proposed by the predictive-coding framework. The current fMRI study investigated the effect of prior information on brain activity during the decoding of degraded speech stimuli. When prior information enabled the comprehension of the degraded sentences, the left middle temporal gyrus and the left angular gyrus were activated, highlighting a role of these areas in meaning extraction. In contrast, the activation of the left inferior frontal gyrus (area 44/45) appeared to reflect the search for meaningful information in degraded speech material that could not be decoded because of mismatches with the prior information. Our results show that degraded sentences evoke instantaneously different percepts and activation patterns depending on the type of prior information, in line with prediction-based accounts of perception. Copyright © 2012 Wiley Periodicals, Inc.

  11. Internal Medicine Residents' Retention of Knowledge and Skills in Bedside Ultrasound.

    PubMed

    Town, James A; Bergl, Paul A; Narang, Akhil; McConville, John F

    2016-10-01

    The long-term retention of knowledge and skills in bedside ultrasound by internal medicine residents after ultrasound training is not well understood. We sought to determine whether knowledge and skills acquired from focused training in bedside ultrasound are retained over time, and whether retention is related to independent practice. We conducted a prospective observational trial of 101 internal medicine residents at an academic medical center who participated in a bedside ultrasound workshop followed by 12 months of independent practice. Performance was measured on image-based knowledge and skills assessment using direct observation, both before the workshop and 12 months later. Individual usage data were obtained along with a survey on attitudes toward bedside ultrasound. Participants' mean knowledge assessment score increased from a baseline of 63.7% to 84.5% immediately after training ( P  < .001). At 12 months, mean knowledge score fell to 73.0%, significantly different from both prior assessments ( P  < .001). Despite knowledge decline, the mean skills assessment score improved from a baseline of 30.5% to 50.4% at 12 months ( P  < .001). Residents reporting more ultrasound use (> 25 examinations) had higher scores in baseline knowledge and skills assessments than those with lower usage (< 25 examinations). Change in knowledge and image acquisition skills between assessments was equal in both subgroups. Residents' knowledge of ultrasound improved after brief training but decayed over time, whereas skills showed marginal improvement over the study, with minimal support. Growth and retention of ultrasound abilities were not impacted by usage rates.

  12. Internal Medicine Residents' Retention of Knowledge and Skills in Bedside Ultrasound

    PubMed Central

    Town, James A.; Bergl, Paul A.; Narang, Akhil; McConville, John F.

    2016-01-01

    ABSTRACT Background  The long-term retention of knowledge and skills in bedside ultrasound by internal medicine residents after ultrasound training is not well understood. Objective  We sought to determine whether knowledge and skills acquired from focused training in bedside ultrasound are retained over time, and whether retention is related to independent practice. Methods  We conducted a prospective observational trial of 101 internal medicine residents at an academic medical center who participated in a bedside ultrasound workshop followed by 12 months of independent practice. Performance was measured on image-based knowledge and skills assessment using direct observation, both before the workshop and 12 months later. Individual usage data were obtained along with a survey on attitudes toward bedside ultrasound. Results  Participants' mean knowledge assessment score increased from a baseline of 63.7% to 84.5% immediately after training (P < .001). At 12 months, mean knowledge score fell to 73.0%, significantly different from both prior assessments (P < .001). Despite knowledge decline, the mean skills assessment score improved from a baseline of 30.5% to 50.4% at 12 months (P < .001). Residents reporting more ultrasound use (> 25 examinations) had higher scores in baseline knowledge and skills assessments than those with lower usage (< 25 examinations). Change in knowledge and image acquisition skills between assessments was equal in both subgroups. Conclusions  Residents' knowledge of ultrasound improved after brief training but decayed over time, whereas skills showed marginal improvement over the study, with minimal support. Growth and retention of ultrasound abilities were not impacted by usage rates. PMID:27777666

  13. Improving Bayesian credibility intervals for classifier error rates using maximum entropy empirical priors.

    PubMed

    Gustafsson, Mats G; Wallman, Mikael; Wickenberg Bolin, Ulrika; Göransson, Hanna; Fryknäs, M; Andersson, Claes R; Isaksson, Anders

    2010-06-01

    Successful use of classifiers that learn to make decisions from a set of patient examples require robust methods for performance estimation. Recently many promising approaches for determination of an upper bound for the error rate of a single classifier have been reported but the Bayesian credibility interval (CI) obtained from a conventional holdout test still delivers one of the tightest bounds. The conventional Bayesian CI becomes unacceptably large in real world applications where the test set sizes are less than a few hundred. The source of this problem is that fact that the CI is determined exclusively by the result on the test examples. In other words, there is no information at all provided by the uniform prior density distribution employed which reflects complete lack of prior knowledge about the unknown error rate. Therefore, the aim of the study reported here was to study a maximum entropy (ME) based approach to improved prior knowledge and Bayesian CIs, demonstrating its relevance for biomedical research and clinical practice. It is demonstrated how a refined non-uniform prior density distribution can be obtained by means of the ME principle using empirical results from a few designs and tests using non-overlapping sets of examples. Experimental results show that ME based priors improve the CIs when employed to four quite different simulated and two real world data sets. An empirically derived ME prior seems promising for improving the Bayesian CI for the unknown error rate of a designed classifier. Copyright 2010 Elsevier B.V. All rights reserved.

  14. Pedagogical Content Knowledge: Teacher’s Knowledge of Students in Learning Mathematics on Limit of Function Subject

    NASA Astrophysics Data System (ADS)

    Ma'rufi; Ketut Budayasa, I.; Juniati, Dwi

    2018-01-01

    This research aims at describing the profile of high school teacher’s Pedagogical Content Knowledge in learning mathematics from the perspective of teaching experience. Pedagogical Content Knowledge (PCK) covers teacher’s knowledge of subject matter, knowledge of pedagogy, and knowledge of students. The subject of this research was two high school mathematics teachers who have different teaching experience. The data were obtained through interview and observation then analyzed qualitatively. The focus of this research is the novice teacher’s PCK deals with knowledge of students. Knowledge of Student is defined as teacher’s knowledge about the students’ conception and misconception on limit of function material and teacher’s ability to cope with students’ difficulty, mistake, and misconception. The result of this research shows that novice teacher’s ability in analyzing the cause of students’ difficulty, mistake, and misconception was limited. Novice teacher tended to overcome the students’ difficulty, mistake, and misconception by re-explaining the procedure of question completion which is not understood by the students.

  15. Assessing the Previous Economic Knowledge of Beginning Students in Germany: Implications for Teaching Economics in Basic Courses

    ERIC Educational Resources Information Center

    Happ, Roland; Förster, Manuel; Zlatkin-Troitschanskaia, Olga; Carstensen, Vivian

    2016-01-01

    Study-related prior knowledge plays a decisive role in business and economics degree courses. Prior knowledge has a significant influence on knowledge acquisition in higher education, and teachers need information on it to plan their introductory courses accordingly. Very few studies have been conducted of first-year students' prior economic…

  16. Face recognition: a model specific ability.

    PubMed

    Wilmer, Jeremy B; Germine, Laura T; Nakayama, Ken

    2014-01-01

    In our everyday lives, we view it as a matter of course that different people are good at different things. It can be surprising, in this context, to learn that most of what is known about cognitive ability variation across individuals concerns the broadest of all cognitive abilities; an ability referred to as general intelligence, general mental ability, or just g. In contrast, our knowledge of specific abilities, those that correlate little with g, is severely constrained. Here, we draw upon our experience investigating an exceptionally specific ability, face recognition, to make the case that many specific abilities could easily have been missed. In making this case, we derive key insights from earlier false starts in the measurement of face recognition's variation across individuals, and we highlight the convergence of factors that enabled the recent discovery that this variation is specific. We propose that the case of face recognition ability illustrates a set of tools and perspectives that could accelerate fruitful work on specific cognitive abilities. By revealing relatively independent dimensions of human ability, such work would enhance our capacity to understand the uniqueness of individual minds.

  17. Event Segmentation Ability Uniquely Predicts Event Memory

    PubMed Central

    Sargent, Jesse Q.; Zacks, Jeffrey M.; Hambrick, David Z.; Zacks, Rose T.; Kurby, Christopher A.; Bailey, Heather R.; Eisenberg, Michelle L.; Beck, Taylor M.

    2013-01-01

    Memory for everyday events plays a central role in tasks of daily living, autobiographical memory, and planning. Event memory depends in part on segmenting ongoing activity into meaningful units. This study examined the relationship between event segmentation and memory in a lifespan sample to answer the following question: Is the ability to segment activity into meaningful events a unique predictor of subsequent memory, or is the relationship between event perception and memory accounted for by general cognitive abilities? Two hundred and eight adults ranging from 20 to 79 years old segmented movies of everyday events and attempted to remember the events afterwards. They also completed psychometric ability tests and tests measuring script knowledge for everyday events. Event segmentation and script knowledge both explained unique variance in event memory above and beyond the psychometric measures, and did so as strongly in older as in younger adults. These results suggest that event segmentation is a basic cognitive mechanism, important for memory across the lifespan. PMID:23942350

  18. Vocabulary Knowledge of Deaf and Hearing Postsecondary Students

    PubMed Central

    Sarchet, Thomastine; Marschark, Marc; Borgna, Georgianna; Convertino, Carol; Sapere, Patricia; Dirmyer, Richard

    2014-01-01

    Deaf children generally are found to have smaller English vocabularies than hearing peers, although studies involving children with cochlear implants have suggested that the gap may decrease or disappear with age. Less is known about the vocabularies of deaf and hard-of-hearing (DHH) postsecondary students or how their vocabulary knowledge relates to other aspects of academic achievement. This study used the Peabody Picture Vocabulary Test to examine the vocabulary knowledge of DHH and hearing postsecondary students as well as their awareness (predictions) of that knowledge. Relationships between vocabulary knowledge and print exposure, communication backgrounds, and reading and verbal abilities also were examined. Consistent with studies of children, hearing college students demonstrated significantly larger vocabularies than DHH students both with and without cochlear implants. DHH students were more likely to overestimate their vocabulary knowledge. Vocabulary scores were positively related to reading and verbal abilities but negatively related to sign language abilities. Among DHH students they also were positively related to measures of spoken language ability. Results are discussed in terms of related cognitive abilities, language fluency, and academic achievement of DHH students and implications for postsecondary education. PMID:25558473

  19. Nintendo Wii video-gaming ability predicts laparoscopic skill.

    PubMed

    Badurdeen, Shiraz; Abdul-Samad, Omar; Story, Giles; Wilson, Clare; Down, Sue; Harris, Adrian

    2010-08-01

    Studies using conventional consoles have suggested a possible link between video-gaming and laparoscopic skill. The authors hypothesized that the Nintendo Wii, with its motion-sensing interface, would provide a better model for laparoscopic tasks. This study investigated the relationship between Nintendo Wii skill, prior gaming experience, and laparoscopic skill. In this study, 20 participants who had minimal experience with either laparoscopic surgery or Nintendo Wii performed three tasks on a Webcam-based laparoscopic simulator and were assessed on three games on the Wii. The participants completed a questionnaire assessing prior gaming experience. The score for each of the three Wii games correlated positively with the laparoscopic score (r = 0.78, 0.63, 0.77; P < 0.001), as did the combined Wii score (r = 0.82; P < 0.001). The participants in the top tertile of Wii performance scored 60.3% higher on the laparoscopic tasks than those in the bottom tertile (P < 0.01). Partial correlation analysis with control for the effect of prior gaming experience showed a significant positive correlation between the Wii score and the laparoscopic score (r = 0.713; P < 0.001). Prior gaming experience also correlated positively with the laparoscopic score (r = 0.578; P < 0.01), but no significant difference in the laparoscopic score was observed when the participants in the top tertile of experience were compared with those in the bottom tertile (P = 0.26). The study findings suggest a skill overlap between the Nintendo Wii and basic laparoscopic tasks. Surgical candidates with advanced Nintendo Wii ability may possess higher baseline laparoscopic ability.

  20. Integrating Informative Priors from Experimental Research with Bayesian Methods

    PubMed Central

    Hamra, Ghassan; Richardson, David; MacLehose, Richard; Wing, Steve

    2013-01-01

    Informative priors can be a useful tool for epidemiologists to handle problems of sparse data in regression modeling. It is sometimes the case that an investigator is studying a population exposed to two agents, X and Y, where Y is the agent of primary interest. Previous research may suggest that the exposures have different effects on the health outcome of interest, one being more harmful than the other. Such information may be derived from epidemiologic analyses; however, in the case where such evidence is unavailable, knowledge can be drawn from toxicologic studies or other experimental research. Unfortunately, using toxicologic findings to develop informative priors in epidemiologic analyses requires strong assumptions, with no established method for its utilization. We present a method to help bridge the gap between animal and cellular studies and epidemiologic research by specification of an order-constrained prior. We illustrate this approach using an example from radiation epidemiology. PMID:23222512

  1. WE-F-BRB-01: The Power of Ontologies and Standardized Terminologies for Capturing Clinical Knowledge

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gabriel, P.

    2015-06-15

    Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

  2. Severe acute respiratory syndrome (SARS): knowledge, attitudes, practices and sources of information among physicians answering a SARS fever hotline service.

    PubMed

    Deng, J-F; Olowokure, B; Kaydos-Daniels, S C; Chang, H-J; Barwick, R S; Lee, M-L; Deng, C-Y; Factor, S H; Chiang, C-E; Maloney, S A

    2006-01-01

    In June 2003, Taiwan introduced a severe acute respiratory syndrome (SARS) telephone hotline service to provide concerned callers with rapid access to information, advice and appropriate referral where necessary. This paper reports an evaluation of the knowledge, attitude, practices and sources of information relating to SARS among physicians who staffed the SARS fever hotline service. A retrospective survey was conducted using a self-administered postal questionnaire. Participants were physicians who staffed a SARS hotline during the SARS epidemic in Taipei, Taiwan from June 1 to 10, 2003. A response rate of 83% was obtained. All respondents knew the causative agent of SARS, and knowledge regarding SARS features and preventive practices was good. However, only 54% of respondents knew the incubation period of SARS. Hospital guidelines and news media were the major information sources. In responding to two case scenarios most physicians were likely to triage callers at high risk of SARS appropriately, but not callers at low risk. Less than half of all respondents answered both scenarios correctly. The results obtained suggest that knowledge of SARS was generally good although obtained from both medical and non-medical sources. Specific knowledge was however lacking in certain areas and this affected the ability to appropriately triage callers. Standardized education and assessment of prior knowledge of SARS could improve the ability of physicians to triage callers in future outbreaks.

  3. Self-Monitoring and Knowledge-Building in Learning by Teaching

    ERIC Educational Resources Information Center

    Roscoe, Rod D.

    2014-01-01

    Prior research has established that learning by teaching depends upon peer tutors' engagement in knowledge-building, in which tutors integrate their knowledge and generate new knowledge through reasoning. However, many tutors adopt a "knowledge-telling bias" defined by shallow summarizing of source materials and didactic lectures.…

  4. Verbal Ability, Argument Order, and Attitude Formation

    PubMed Central

    Mozuraitis, Mindaugas; Chambers, Craig G.; Daneman, Meredyth

    2016-01-01

    The current study explored the interaction of verbal ability and presentation order on readers’ attitude formation when presented with two-sided arguments. Participants read arguments for and against compulsory voting and genetic engineering, and attitudes were assessed before and after reading the passages. Participants’ verbal ability was measured, combining vocabulary knowledge and reading comprehension skill. Results suggested that low verbal-ability participants were more persuaded by the most recent set of arguments whereas high verbal-ability participants formed attitudes independent of presentation order. Contrary to previous literature, individual differences in the personality trait need for cognition did not interact with presentation order. The results suggest that verbal ability is an important moderator of the effect of presentation order when formulating opinions from complex prose. PMID:27703437

  5. Cognitive flexibility and undergraduate physiology students: increasing advanced knowledge acquisition within an ill-structured domain.

    PubMed

    Rhodes, Ashley E; Rozell, Timothy G

    2017-09-01

    Cognitive flexibility is defined as the ability to assimilate previously learned information and concepts to generate novel solutions to new problems. This skill is crucial for success within ill-structured domains such as biology, physiology, and medicine, where many concepts are simultaneously required for understanding a complex problem, yet the problem consists of patterns or combinations of concepts that are not consistently used or needed across all examples. To succeed within ill-structured domains, a student must possess a certain level of cognitive flexibility: rigid thought processes and prepackaged informational retrieval schemes relying on rote memorization will not suffice. In this study, we assessed the cognitive flexibility of undergraduate physiology students using a validated instrument entitled Student's Approaches to Learning (SAL). The SAL evaluates how deeply and in what way information is processed, as well as the investment of time and mental energy that a student is willing to expend by measuring constructs such as elaboration and memorization. Our results indicate that students who rely primarily on memorization when learning new information have a smaller knowledge base about physiological concepts, as measured by a prior knowledge assessment and unit exams. However, students who rely primarily on elaboration when learning new information have a more well-developed knowledge base about physiological concepts, which is displayed by higher scores on a prior knowledge assessment and increased performance on unit exams. Thus students with increased elaboration skills possibly possess a higher level of cognitive flexibility and are more likely to succeed within ill-structured domains. Copyright © 2017 the American Physiological Society.

  6. High Altitude Long Endurance (HALE) Unmanned Aircraft System (UAS): Pilot Knowledge, Skills and Abilities

    NASA Technical Reports Server (NTRS)

    2005-01-01

    This report summarizes the initial work accomplished by the ACCESS 5 Human System Integration (HSI) team to identify Unmanned Aircraft System (UAS) Pilot Knowledge, Skill and Ability (KSA), Training and Medical requirements. To derive this information the following tasks were accomplished: a) Mission and Function analyses were performed; b) Applicable FARs and FAA Advisory Circulars (ACs) were reviewed; c) Meetings were conducted with NASA and FAA Human Factors personnel; d) Surveys were completed by ACCESS 5 HSI Working group UA Pilots; e) Coordination meetings were conducted with the ACCESS 5 Policy IPT. The results of these efforts were used to develop a summary of the current qualifications. for an individual to function as a Pilot In Command (PIC) for UAs currently flown by UNITE companies, to develop preliminary Pilot KSAs for each phase of flight, and to delineate preliminary Pilot Training and Medical requirements. These results are to be provided to the Policy IPT to support their development of recommendations for UA Pilot Rating Criteria, training and medical qualifications. It is expected that the initially an instrument rated pilot will be required to serve as the PIC. However, as operational experience is gained, and automation is applied to accomplish various system functions, it is expected that pilot rating criteria could be lessened.

  7. An empirical Bayes approach to network recovery using external knowledge.

    PubMed

    Kpogbezan, Gino B; van der Vaart, Aad W; van Wieringen, Wessel N; Leday, Gwenaël G R; van de Wiel, Mark A

    2017-09-01

    Reconstruction of a high-dimensional network may benefit substantially from the inclusion of prior knowledge on the network topology. In the case of gene interaction networks such knowledge may come for instance from pathway repositories like KEGG, or be inferred from data of a pilot study. The Bayesian framework provides a natural means of including such prior knowledge. Based on a Bayesian Simultaneous Equation Model, we develop an appealing Empirical Bayes (EB) procedure that automatically assesses the agreement of the used prior knowledge with the data at hand. We use variational Bayes method for posterior densities approximation and compare its accuracy with that of Gibbs sampling strategy. Our method is computationally fast, and can outperform known competitors. In a simulation study, we show that accurate prior data can greatly improve the reconstruction of the network, but need not harm the reconstruction if wrong. We demonstrate the benefits of the method in an analysis of gene expression data from GEO. In particular, the edges of the recovered network have superior reproducibility (compared to that of competitors) over resampled versions of the data. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  8. An analysis of the changes in ability and knowledge of students taking A-level physics and mathematics over a 35 year period

    NASA Astrophysics Data System (ADS)

    Barham, Peter J.

    2012-03-01

    New undergraduate students arriving to study physics at the University of Bristol from 1975 onwards have all taken the same test of their knowledge and understanding of physics and mathematics. Many of the questions test knowledge of material that has been in the A-level syllabus for maths or physics throughout this period. The ability of incoming students to answer these questions declined significantly in the 1990s with average scores falling from around 75% up to 1990 to below 50% after 2000 against a background of increasing A-level grades of the entrants to the programme. It is suggested that changes in teaching and examination methods have caused students to be less able to carry out multi-stage calculations and that the introduction of modular examinations may have encouraged a culture where students tend to forget material learnt in previous modules.

  9. Lending a Helping Hand: Voluntary Engagement in Knowledge Sharing

    ERIC Educational Resources Information Center

    Mergel, Ines; Lazer, David; Binz-Scharf, Maria Christina

    2008-01-01

    Knowledge is essential for the functioning of every social system, especially for professionals in knowledge-intensive organisations. Since individuals do not possess all the work-related knowledge that they require, they turn to others in search for that knowledge. While prior research has mainly focused on antecedents and consequences of…

  10. Optimal sampling with prior information of the image geometry in microfluidic MRI.

    PubMed

    Han, S H; Cho, H; Paulsen, J L

    2015-03-01

    Recent advances in MRI acquisition for microscopic flows enable unprecedented sensitivity and speed in a portable NMR/MRI microfluidic analysis platform. However, the application of MRI to microfluidics usually suffers from prolonged acquisition times owing to the combination of the required high resolution and wide field of view necessary to resolve details within microfluidic channels. When prior knowledge of the image geometry is available as a binarized image, such as for microfluidic MRI, it is possible to reduce sampling requirements by incorporating this information into the reconstruction algorithm. The current approach to the design of the partial weighted random sampling schemes is to bias toward the high signal energy portions of the binarized image geometry after Fourier transformation (i.e. in its k-space representation). Although this sampling prescription is frequently effective, it can be far from optimal in certain limiting cases, such as for a 1D channel, or more generally yield inefficient sampling schemes at low degrees of sub-sampling. This work explores the tradeoff between signal acquisition and incoherent sampling on image reconstruction quality given prior knowledge of the image geometry for weighted random sampling schemes, finding that optimal distribution is not robustly determined by maximizing the acquired signal but from interpreting its marginal change with respect to the sub-sampling rate. We develop a corresponding sampling design methodology that deterministically yields a near optimal sampling distribution for image reconstructions incorporating knowledge of the image geometry. The technique robustly identifies optimal weighted random sampling schemes and provides improved reconstruction fidelity for multiple 1D and 2D images, when compared to prior techniques for sampling optimization given knowledge of the image geometry. Copyright © 2015 Elsevier Inc. All rights reserved.

  11. Students' Ability in Science: Results from a Test Development Study

    ERIC Educational Resources Information Center

    Akkanat, Cigdem; Gokdere, Murat

    2017-01-01

    Student's ability to use and manipulate scientific concepts has been widely explored; however there is still a need to define the characteristics and nature of science ability. Also, the tests and performance scales that require minimal conceptual knowledge to measure this ability are relatively less common. The aim of this study was to develop an…

  12. Assignment of a non-informative prior when using a calibration function

    NASA Astrophysics Data System (ADS)

    Lira, I.; Grientschnig, D.

    2012-01-01

    The evaluation of measurement uncertainty associated with the use of calibration functions was addressed in a talk at the 19th IMEKO World Congress 2009 in Lisbon (Proceedings, pp 2346-51). Therein, an example involving a cubic function was analysed by a Bayesian approach and by the Monte Carlo method described in Supplement 1 to the 'Guide to the Expression of Uncertainty in Measurement'. Results were found to be discrepant. In this paper we examine a simplified version of the example and show that the reported discrepancy is caused by the choice of the prior in the Bayesian analysis, which does not conform to formal rules for encoding the absence of prior knowledge. Two options for assigning a non-informative prior free from this shortcoming are considered; they are shown to be equivalent.

  13. Ten-Month-Old Infants Use Prior Information to Identify an Actor's Goal

    ERIC Educational Resources Information Center

    Sommerville, Jessica A.; Crane, Catharyn C.

    2009-01-01

    For adults, prior information about an individual's likely goals, preferences or dispositions plays a powerful role in interpreting ambiguous behavior and predicting and interpreting behavior in novel contexts. Across two studies, we investigated whether 10-month-old infants' ability to identify the goal of an ambiguous action sequence was…

  14. Polyenergetic known-component reconstruction without prior shape models

    NASA Astrophysics Data System (ADS)

    Zhang, C.; Zbijewski, W.; Zhang, X.; Xu, S.; Stayman, J. W.

    2017-03-01

    Purpose: Previous work has demonstrated that structural models of surgical tools and implants can be integrated into model-based CT reconstruction to greatly reduce metal artifacts and improve image quality. This work extends a polyenergetic formulation of known-component reconstruction (Poly-KCR) by removing the requirement that a physical model (e.g. CAD drawing) be known a priori, permitting much more widespread application. Methods: We adopt a single-threshold segmentation technique with the help of morphological structuring elements to build a shape model of metal components in a patient scan based on initial filtered-backprojection (FBP) reconstruction. This shape model is used as an input to Poly-KCR, a formulation of known-component reconstruction that does not require a prior knowledge of beam quality or component material composition. An investigation of performance as a function of segmentation thresholds is performed in simulation studies, and qualitative comparisons to Poly-KCR with an a priori shape model are made using physical CBCT data of an implanted cadaver and in patient data from a prototype extremities scanner. Results: We find that model-free Poly-KCR (MF-Poly-KCR) provides much better image quality compared to conventional reconstruction techniques (e.g. FBP). Moreover, the performance closely approximates that of Poly- KCR with an a prior shape model. In simulation studies, we find that imaging performance generally follows segmentation accuracy with slight under- or over-estimation based on the shape of the implant. In both simulation and physical data studies we find that the proposed approach can remove most of the blooming and streak artifacts around the component permitting visualization of the surrounding soft-tissues. Conclusion: This work shows that it is possible to perform known-component reconstruction without prior knowledge of the known component. In conjunction with the Poly-KCR technique that does not require knowledge of

  15. On the Scientific Basis of Ability Testing.

    ERIC Educational Resources Information Center

    Carroll, John B.; Horn, John L.

    1981-01-01

    Argues that despite aberrations, false starts, misapplications, and unfortunate crystallizations of methods and interpretations, the differential psychology of cognitive abilities is an important part of psychological knowledge about human beings. (Author/GC)

  16. Knowledge of Algebra for Teaching: A Framework of Knowledge and Practices

    ERIC Educational Resources Information Center

    McCrory, Raven; Floden, Robert; Ferrini-Mundy, Joan; Reckase, Mark D.; Senk, Sharon L.

    2012-01-01

    Defining what teachers need to know to teach algebra successfully is important for informing teacher preparation and professional development efforts. Based on prior research, analysis of video, interviews with teachers, and analysis of textbooks, we define categories of knowledge and practices of teaching for understanding and assessing teachers'…

  17. Enriching 3D optical surface scans with prior knowledge: tissue thickness computation by exploiting local neighborhoods.

    PubMed

    Wissel, Tobias; Stüber, Patrick; Wagner, Benjamin; Bruder, Ralf; Schweikard, Achim; Ernst, Floris

    2016-04-01

    Patient immobilization and X-ray-based imaging provide neither a convenient nor a very accurate way to ensure low repositioning errors or to compensate for motion in cranial radiotherapy. We therefore propose an optical tracking device that exploits subcutaneous structures as landmarks in addition to merely spatial registration. To develop such head tracking algorithms, precise and robust computation of these structures is necessary. Here, we show that the tissue thickness can be predicted with high accuracy and moreover exploit local neighborhood information within the laser spot grid on the forehead to further increase this estimation accuracy. We use statistical learning with Support Vector Regression and Gaussian Processes to learn a relationship between optical backscatter features and an MR tissue thickness ground truth. We compare different kernel functions for the data of five different subjects. The incident angle of the laser on the forehead as well as local neighborhoods is incorporated into the feature space. The latter represent the backscatter features from four neighboring laser spots. We confirm that the incident angle has a positive effect on the estimation error of the tissue thickness. The root-mean-square error falls even below 0.15 mm when adding the complete neighborhood information. This prior knowledge also leads to a smoothing effect on the reconstructed skin patch. Learning between different head poses yields similar results. The partial overlap of the point clouds makes the trade-off between novel information and increased feature space dimension obvious and hence feature selection by e.g., sequential forward selection necessary.

  18. The Contribution of General Reading Ability to Science Achievement

    ERIC Educational Resources Information Center

    Reed, Deborah K.; Petscher, Yaacov; Truckenmiller, Adrea J.

    2017-01-01

    This study explored the relationship between the reading ability and science achievement of students in grades 5, 8, and 9. Reading ability was assessed with four measures: word recognition, vocabulary, syntactic knowledge, and comprehension (23% of all passages were on science topics). Science achievement was assessed with state…

  19. Probe on training the practical ability of undergraduates

    NASA Astrophysics Data System (ADS)

    Wu, Qiaohui; Meng, Xiuxia; Leng, Bing

    2010-07-01

    Practical ability means physical and psychological characteristics that ensure the individual to make use of the knowledge and skills to solve the practical problems smoothly. Only with practical ability, the man can sum up experience from practice, at the same time he can identify problems and make innovation. This article describes the meaning and characteristics of practice and introduces how to build the capacity of the practical ability of students in foreign university. As well as the article put forward how to set up a practical training teaching system which can improve practical ability of college students and a series of training programs to help Chinese universities students to improve the student's practical ability and cultivate student's with a strong practical ability and high-quality talent.

  20. Essays on Knowledge Management

    ERIC Educational Resources Information Center

    Xiao, Wenli

    2012-01-01

    For many firms, particularly those operating in high technology and competitive markets, knowledge is cited as the most important strategic asset to the firm, which significantly drives its survival and success (Grant 1996, Webber 1993). Knowledge management (KM) impacts the firm's ability to develop process features that reduce manufacturing…

  1. The Recognition of Prior Learning. Quality Assurance in Education and Training.

    ERIC Educational Resources Information Center

    New Zealand Qualifications Authority, Wellington.

    As this booklet describes, New Zealand's Education Amendment Act of 1990 made the country's Qualifications Authority (QA) responsible for developing and implementing a process for recognition of prior learning (RPL) that would enable individuals to receive formal recognition for skills and knowledge they already possess. As of 1993, the QA had…

  2. A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy.

    PubMed

    Ji, Zhiwei; Wang, Bing; Yan, Ke; Dong, Ligang; Meng, Guanmin; Shi, Lei

    2017-12-21

    In recent years, the integration of 'omics' technologies, high performance computation, and mathematical modeling of biological processes marks that the systems biology has started to fundamentally impact the way of approaching drug discovery. The LINCS public data warehouse provides detailed information about cell responses with various genetic and environmental stressors. It can be greatly helpful in developing new drugs and therapeutics, as well as improving the situations of lacking effective drugs, drug resistance and relapse in cancer therapies, etc. In this study, we developed a Ternary status based Integer Linear Programming (TILP) method to infer cell-specific signaling pathway network and predict compounds' treatment efficacy. The novelty of our study is that phosphor-proteomic data and prior knowledge are combined for modeling and optimizing the signaling network. To test the power of our approach, a generic pathway network was constructed for a human breast cancer cell line MCF7; and the TILP model was used to infer MCF7-specific pathways with a set of phosphor-proteomic data collected from ten representative small molecule chemical compounds (most of them were studied in breast cancer treatment). Cross-validation indicated that the MCF7-specific pathway network inferred by TILP were reliable predicting a compound's efficacy. Finally, we applied TILP to re-optimize the inferred cell-specific pathways and predict the outcomes of five small compounds (carmustine, doxorubicin, GW-8510, daunorubicin, and verapamil), which were rarely used in clinic for breast cancer. In the simulation, the proposed approach facilitates us to identify a compound's treatment efficacy qualitatively and quantitatively, and the cross validation analysis indicated good accuracy in predicting effects of five compounds. In summary, the TILP model is useful for discovering new drugs for clinic use, and also elucidating the potential mechanisms of a compound to targets.

  3. Event segmentation ability uniquely predicts event memory.

    PubMed

    Sargent, Jesse Q; Zacks, Jeffrey M; Hambrick, David Z; Zacks, Rose T; Kurby, Christopher A; Bailey, Heather R; Eisenberg, Michelle L; Beck, Taylor M

    2013-11-01

    Memory for everyday events plays a central role in tasks of daily living, autobiographical memory, and planning. Event memory depends in part on segmenting ongoing activity into meaningful units. This study examined the relationship between event segmentation and memory in a lifespan sample to answer the following question: Is the ability to segment activity into meaningful events a unique predictor of subsequent memory, or is the relationship between event perception and memory accounted for by general cognitive abilities? Two hundred and eight adults ranging from 20 to 79years old segmented movies of everyday events and attempted to remember the events afterwards. They also completed psychometric ability tests and tests measuring script knowledge for everyday events. Event segmentation and script knowledge both explained unique variance in event memory above and beyond the psychometric measures, and did so as strongly in older as in younger adults. These results suggest that event segmentation is a basic cognitive mechanism, important for memory across the lifespan. Copyright © 2013 Elsevier B.V. All rights reserved.

  4. Why Bother to Calibrate? Model Consistency and the Value of Prior Information

    NASA Astrophysics Data System (ADS)

    Hrachowitz, Markus; Fovet, Ophelie; Ruiz, Laurent; Euser, Tanja; Gharari, Shervan; Nijzink, Remko; Savenije, Hubert; Gascuel-Odoux, Chantal

    2015-04-01

    Hydrological models frequently suffer from limited predictive power despite adequate calibration performances. This can indicate insufficient representations of the underlying processes. Thus ways are sought to increase model consistency while satisfying the contrasting priorities of increased model complexity and limited equifinality. In this study the value of a systematic use of hydrological signatures and expert knowledge for increasing model consistency was tested. It was found that a simple conceptual model, constrained by 4 calibration objective functions, was able to adequately reproduce the hydrograph in the calibration period. The model, however, could not reproduce 20 hydrological signatures, indicating a lack of model consistency. Subsequently, testing 11 models, model complexity was increased in a stepwise way and counter-balanced by using prior information about the system to impose "prior constraints", inferred from expert knowledge and to ensure a model which behaves well with respect to the modeller's perception of the system. We showed that, in spite of unchanged calibration performance, the most complex model set-up exhibited increased performance in the independent test period and skill to reproduce all 20 signatures, indicating a better system representation. The results suggest that a model may be inadequate despite good performance with respect to multiple calibration objectives and that increasing model complexity, if efficiently counter-balanced by available prior constraints, can increase predictive performance of a model and its skill to reproduce hydrological signatures. The results strongly illustrate the need to balance automated model calibration with a more expert-knowledge driven strategy of constraining models.

  5. Why Bother and Calibrate? Model Consistency and the Value of Prior Information.

    NASA Astrophysics Data System (ADS)

    Hrachowitz, M.; Fovet, O.; Ruiz, L.; Euser, T.; Gharari, S.; Nijzink, R.; Freer, J. E.; Savenije, H.; Gascuel-Odoux, C.

    2014-12-01

    Hydrological models frequently suffer from limited predictive power despite adequate calibration performances. This can indicate insufficient representations of the underlying processes. Thus ways are sought to increase model consistency while satisfying the contrasting priorities of increased model complexity and limited equifinality. In this study the value of a systematic use of hydrological signatures and expert knowledge for increasing model consistency was tested. It was found that a simple conceptual model, constrained by 4 calibration objective functions, was able to adequately reproduce the hydrograph in the calibration period. The model, however, could not reproduce 20 hydrological signatures, indicating a lack of model consistency. Subsequently, testing 11 models, model complexity was increased in a stepwise way and counter-balanced by using prior information about the system to impose "prior constraints", inferred from expert knowledge and to ensure a model which behaves well with respect to the modeller's perception of the system. We showed that, in spite of unchanged calibration performance, the most complex model set-up exhibited increased performance in the independent test period and skill to reproduce all 20 signatures, indicating a better system representation. The results suggest that a model may be inadequate despite good performance with respect to multiple calibration objectives and that increasing model complexity, if efficiently counter-balanced by available prior constraints, can increase predictive performance of a model and its skill to reproduce hydrological signatures. The results strongly illustrate the need to balance automated model calibration with a more expert-knowledge driven strategy of constraining models.

  6. Competence: Commodification of Human Ability

    ERIC Educational Resources Information Center

    Han, Soonghee

    2008-01-01

    The purpose of this article is to analyze the meaning and presumptions of competence in the concrete context of knowledge capitalism. First, the nature of competence as a "commodification of human ability" that obtains a standardized monetary value to sell in the labor market, is elucidated by applying Karl Marx's critical theory. Second, it is…

  7. The Mode of Theoretical Knowledge and Practical Knowledge Combination: The Significance of Internship

    ERIC Educational Resources Information Center

    Yong, Tang

    2012-01-01

    In China, the conflict of university talents training program and market demands is increasingly attracting public attention. In order to satisfy the markets, the graduates should have abilities of combining theoretical knowledge with practice. Aiming at the issue of combining theoretical and practical knowledge, this paper takes construction…

  8. Reference analysis of the signal + background model in counting experiments II. Approximate reference prior

    NASA Astrophysics Data System (ADS)

    Casadei, D.

    2014-10-01

    The objective Bayesian treatment of a model representing two independent Poisson processes, labelled as ``signal'' and ``background'' and both contributing additively to the total number of counted events, is considered. It is shown that the reference prior for the parameter of interest (the signal intensity) can be well approximated by the widely (ab)used flat prior only when the expected background is very high. On the other hand, a very simple approximation (the limiting form of the reference prior for perfect prior background knowledge) can be safely used over a large portion of the background parameters space. The resulting approximate reference posterior is a Gamma density whose parameters are related to the observed counts. This limiting form is simpler than the result obtained with a flat prior, with the additional advantage of representing a much closer approximation to the reference posterior in all cases. Hence such limiting prior should be considered a better default or conventional prior than the uniform prior. On the computing side, it is shown that a 2-parameter fitting function is able to reproduce extremely well the reference prior for any background prior. Thus, it can be useful in applications requiring the evaluation of the reference prior for a very large number of times.

  9. 28 CFR 12.3 - Prior registration with the Foreign Agents Registration Unit.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 28 Judicial Administration 1 2013-07-01 2013-07-01 false Prior registration with the Foreign Agents Registration Unit. 12.3 Section 12.3 Judicial Administration DEPARTMENT OF JUSTICE REGISTRATION OF CERTAIN PERSONS HAVING KNOWLEDGE OF FOREIGN ESPIONAGE, COUNTERESPIONAGE, OR SABOTAGE MATTERS UNDER THE ACT...

  10. 28 CFR 12.3 - Prior registration with the Foreign Agents Registration Unit.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 28 Judicial Administration 1 2014-07-01 2014-07-01 false Prior registration with the Foreign Agents Registration Unit. 12.3 Section 12.3 Judicial Administration DEPARTMENT OF JUSTICE REGISTRATION OF CERTAIN PERSONS HAVING KNOWLEDGE OF FOREIGN ESPIONAGE, COUNTERESPIONAGE, OR SABOTAGE MATTERS UNDER THE ACT...

  11. 28 CFR 12.3 - Prior registration with the Foreign Agents Registration Unit.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Prior registration with the Foreign Agents Registration Unit. 12.3 Section 12.3 Judicial Administration DEPARTMENT OF JUSTICE REGISTRATION OF CERTAIN PERSONS HAVING KNOWLEDGE OF FOREIGN ESPIONAGE, COUNTERESPIONAGE, OR SABOTAGE MATTERS UNDER THE ACT...

  12. 28 CFR 12.3 - Prior registration with the Foreign Agents Registration Unit.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 28 Judicial Administration 1 2011-07-01 2011-07-01 false Prior registration with the Foreign Agents Registration Unit. 12.3 Section 12.3 Judicial Administration DEPARTMENT OF JUSTICE REGISTRATION OF CERTAIN PERSONS HAVING KNOWLEDGE OF FOREIGN ESPIONAGE, COUNTERESPIONAGE, OR SABOTAGE MATTERS UNDER THE ACT...

  13. 28 CFR 12.3 - Prior registration with the Foreign Agents Registration Unit.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 28 Judicial Administration 1 2012-07-01 2012-07-01 false Prior registration with the Foreign Agents Registration Unit. 12.3 Section 12.3 Judicial Administration DEPARTMENT OF JUSTICE REGISTRATION OF CERTAIN PERSONS HAVING KNOWLEDGE OF FOREIGN ESPIONAGE, COUNTERESPIONAGE, OR SABOTAGE MATTERS UNDER THE ACT...

  14. Food safety knowledge of undergraduate students at a Canadian university: results of an online survey.

    PubMed

    Courtney, Sarah M; Majowicz, Shannon E; Dubin, Joel A

    2016-11-09

    Foodborne diseases are an important public health issue, and young adults are an important demographic to target with food safety education. Our objective was to assess the food safety knowledge of undergraduate students at a Canadian university, to identify potential areas for such education. In February 2015, we conducted an online survey of 485 undergraduate students at a university in Ontario, Canada. We assessed various food-related factors, including cooking frequency and prior food handling or preparation education. We then modeled the relationship between 'overall knowledge score' and the demographic and food skills/cooking experience predictors using multivariable log-binomial regression, to determine factors associated with relatively higher proportions of correct responses. Respondents were, on average, 20.5 years old, and the majority (64.8 %) lived off campus. Students cooked from basic ingredients infrequently, with 3 in 4 doing so a few times a year to never. Students averaged 6.2 correct answers to the 11 knowledge questions. Adjusting for other important covariates, older age and being a current food handler were associated with relatively higher knowledge, whereas working/volunteering in a hospital and infrequent cooking were associated with relatively lower knowledge. Males in the Faculty of Science had relatively higher knowledge than females in the Faculty of Science, both of whom had relatively higher knowledge than all students in other Faculties. Among students who had never taken a food preparation course, knowledge increased with self-reported cooking ability; however, among students who had taken such a course, knowledge was highest among those with low self-reported cooking ability. Consistent with other similar studies, students in Faculties outside of the Faculty of Science, younger students, and those who cook infrequently could benefit from food safety education. Supporting improved hand hygiene, in particular clarifying hand

  15. High School Students' Meta-Modeling Knowledge

    ERIC Educational Resources Information Center

    Fortus, David; Shwartz, Yael; Rosenfeld, Sherman

    2016-01-01

    Modeling is a core scientific practice. This study probed the meta-modeling knowledge (MMK) of high school students who study science but had not had any explicit prior exposure to modeling as part of their formal schooling. Our goals were to (A) evaluate the degree to which MMK is dependent on content knowledge and (B) assess whether the upper…

  16. Measuring Young Children's Alphabet Knowledge: Development and Validation of Brief Letter-Sound Knowledge Assessments

    ERIC Educational Resources Information Center

    Piasta, Shayne B.; Phillips, Beth M.; Williams, Jeffrey M.; Bowles, Ryan P.; Anthony, Jason L.

    2016-01-01

    Early childhood teachers are increasingly encouraged to support children's development of letter-sound abilities. Assessment of letter-sound knowledge is key in planning for effective instruction, yet the letter-sound knowledge assessments currently available and suitable for preschool-age children demonstrate significant limitations. The purpose…

  17. The Transition from Informal to Formal Mathematical Knowledge: Mediation by Numeral Knowledge

    ERIC Educational Resources Information Center

    Purpura, David J.; Baroody, Arthur J.; Lonigan, Christopher J.

    2013-01-01

    The purpose of the present study was to determine if numeral knowledge--the ability to identify Arabic numerals and connect Arabic numerals to their respective quantities--mediates the relation between informal and formal mathematical knowledge. A total of 206 3- to 5-year-old preschool children were assessed on 6 informal mathematics tasks and 2…

  18. Antecedents of emotion knowledge: Predictors of individual differences in young children

    PubMed Central

    Bennett, David S.; Bendersky, Margaret; Lewis, Michael

    2006-01-01

    Individual differences in emotion knowledge were examined among 188 4-year-old, predominantly African American children. Cognitive ability and negative emotionality, maternal characteristics (parenting, verbal intelligence, and depressive symptoms), environmental risk, and child sex were examined as predictors of emotion knowledge. Regression analyses indicated that cognitively skilled children who resided in relatively low risk environments with verbally intelligent mothers possessed greater emotion knowledge. Proximal (4-year) child cognitive ability was a stronger predictor than distal (2-year) cognitive ability. Positive parenting at 4 years was correlated with child emotion knowledge, but this relation disappeared when parenting was examined in the context of other predictors. These findings highlight the potential role of child cognitive ability, along with environmental risk and maternal verbal intelligence, in children’s emotion knowledge and demonstrate the importance of examining a variety of predictors for their unique contribution to emotion knowledge. PMID:16894396

  19. Using Dirichlet Priors to Improve Model Parameter Plausibility

    ERIC Educational Resources Information Center

    Rai, Dovan; Gong, Yue; Beck, Joseph E.

    2009-01-01

    Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better understand student learning there are two problems. First, a model's ability to predict student performance is at best weakly related to the accuracy of any one of its…

  20. Problem solving based learning model with multiple representations to improve student's mental modelling ability on physics

    NASA Astrophysics Data System (ADS)

    Haili, Hasnawati; Maknun, Johar; Siahaan, Parsaoran

    2017-08-01

    Physics is a lessons that related to students' daily experience. Therefore, before the students studying in class formally, actually they have already have a visualization and prior knowledge about natural phenomenon and could wide it themselves. The learning process in class should be aimed to detect, process, construct, and use students' mental model. So, students' mental model agree with and builds in the right concept. The previous study held in MAN 1 Muna informs that in learning process the teacher did not pay attention students' mental model. As a consequence, the learning process has not tried to build students' mental modelling ability (MMA). The purpose of this study is to describe the improvement of students' MMA as a effect of problem solving based learning model with multiple representations approach. This study is pre experimental design with one group pre post. It is conducted in XI IPA MAN 1 Muna 2016/2017. Data collection uses problem solving test concept the kinetic theory of gasses and interview to get students' MMA. The result of this study is clarification students' MMA which is categorized in 3 category; High Mental Modelling Ability (H-MMA) for 7Ability (M-MMA) for 3< x ≤ 7 score, and Low Mental Modelling Ability (L-MMA) for 0 ≤ x ≤ 3 score. The result shows that problem solving based learning model with multiple representations approach can be an alternative to be applied in improving students' MMA.

  1. Prospective regularization design in prior-image-based reconstruction

    NASA Astrophysics Data System (ADS)

    Dang, Hao; Siewerdsen, Jeffrey H.; Webster Stayman, J.

    2015-12-01

    Prior-image-based reconstruction (PIBR) methods leveraging patient-specific anatomical information from previous imaging studies and/or sequences have demonstrated dramatic improvements in dose utilization and image quality for low-fidelity data. However, a proper balance of information from the prior images and information from the measurements is required (e.g. through careful tuning of regularization parameters). Inappropriate selection of reconstruction parameters can lead to detrimental effects including false structures and failure to improve image quality. Traditional methods based on heuristics are subject to error and sub-optimal solutions, while exhaustive searches require a large number of computationally intensive image reconstructions. In this work, we propose a novel method that prospectively estimates the optimal amount of prior image information for accurate admission of specific anatomical changes in PIBR without performing full image reconstructions. This method leverages an analytical approximation to the implicitly defined PIBR estimator, and introduces a predictive performance metric leveraging this analytical form and knowledge of a particular presumed anatomical change whose accurate reconstruction is sought. Additionally, since model-based PIBR approaches tend to be space-variant, a spatially varying prior image strength map is proposed to optimally admit changes everywhere in the image (eliminating the need to know change locations a priori). Studies were conducted in both an ellipse phantom and a realistic thorax phantom emulating a lung nodule surveillance scenario. The proposed method demonstrated accurate estimation of the optimal prior image strength while achieving a substantial computational speedup (about a factor of 20) compared to traditional exhaustive search. Moreover, the use of the proposed prior strength map in PIBR demonstrated accurate reconstruction of anatomical changes without foreknowledge of change locations in

  2. Sex Differences in Spatial Abilities of Medical Graduates Entering Residency Programs

    ERIC Educational Resources Information Center

    Langlois, Jean; Wells, Georges A.; Lecourtois, Marc; Bergeron, Germain; Yetisir, Elizabeth; Martin, Marcel

    2013-01-01

    Sex differences favoring males in spatial abilities have been known by cognitive psychologists for more than half a century. Spatial abilities have been related to three-dimensional anatomy knowledge and the performance in technical skills. The issue of sex differences in spatial abilities has not been addressed formally in the medical field. The…

  3. Paired-Associate Learning Ability Accounts for Unique Variance in Orthographic Learning

    ERIC Educational Resources Information Center

    Wang, Hua-Chen; Wass, Malin; Castles, Anne

    2017-01-01

    Paired-associate learning is a dynamic measure of the ability to form new links between two items. This study aimed to investigate whether paired-associate learning ability is associated with success in orthographic learning, and if so, whether it accounts for unique variance beyond phonological decoding ability and orthographic knowledge. A group…

  4. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 68: Who is Managing Knowledge? The Implications for Knowledge Production and Management of Global Strategic Alliances in Knowledge Dependent Industries

    NASA Technical Reports Server (NTRS)

    Golich, Vicki L.; Pinelli, Thomas

    1998-01-01

    Knowledge is the foundation upon which researchers build as they innovate. Innovation lies at the core of a state's or a firm's ability to survive in a competitive world. Indeed, some economic historians ever that technological innovation, not trade, is the engine to economic growth. Despite the centrality of knowledge to corporate success, analysts have only recently shown an interest in the "knowledge capital" or "intellectual capital" of the firm, often literally trying to assign a value to this resource.

  5. External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising

    NASA Astrophysics Data System (ADS)

    Xu, Jun; Zhang, Lei; Zhang, David

    2018-06-01

    Most of existing image denoising methods learn image priors from either external data or the noisy image itself to remove noise. However, priors learned from external data may not be adaptive to the image to be denoised, while priors learned from the given noisy image may not be accurate due to the interference of corrupted noise. Meanwhile, the noise in real-world noisy images is very complex, which is hard to be described by simple distributions such as Gaussian distribution, making real noisy image denoising a very challenging problem. We propose to exploit the information in both external data and the given noisy image, and develop an external prior guided internal prior learning method for real noisy image denoising. We first learn external priors from an independent set of clean natural images. With the aid of learned external priors, we then learn internal priors from the given noisy image to refine the prior model. The external and internal priors are formulated as a set of orthogonal dictionaries to efficiently reconstruct the desired image. Extensive experiments are performed on several real noisy image datasets. The proposed method demonstrates highly competitive denoising performance, outperforming state-of-the-art denoising methods including those designed for real noisy images.

  6. The Effects of a Socioscientific Issues Instructional Model in Secondary Agricultural Education on Students' Content Knowledge, Scientific Reasoning Ability, Argumentation Skills, and Views of the Nature of Science

    ERIC Educational Resources Information Center

    Shoulders, Catherine Woglom

    2012-01-01

    The purpose of this study was to determine the effects of a socioscientific issues-based instructional model on secondary agricultural education students' content knowledge, scientific reasoning ability, argumentation skills, and views of the nature of science. This study utilized a pre-experimental, single group pretest-posttest design to assess…

  7. Latent Structure of Motor Abilities in Pre-School Children

    ERIC Educational Resources Information Center

    Vatroslav, Horvat

    2011-01-01

    The theoretical and practical knowledge which have so far been acquired through work with pre-school children pointed to the conclusion that the structures of the latent dimensions of the motor abilities differ greatly from such a structure, in pre-school children and adults alike. Establishing the latent structure of the motor abilities in…

  8. Comfort and experience with online learning: trends over nine years and associations with knowledge.

    PubMed

    Cook, David A; Thompson, Warren G

    2014-07-01

    Some evidence suggests that attitude toward computer-based instruction is an important determinant of success in online learning. We sought to determine how comfort using computers and perceptions of prior online learning experiences have changed over the past decade, and how these associate with learning outcomes. Each year from 2003-2011 we conducted a prospective trial of online learning. As part of each year's study, we asked medicine residents about their comfort using computers and if their previous experiences with online learning were favorable. We assessed knowledge using a multiple-choice test. We used regression to analyze associations and changes over time. 371 internal medicine and family medicine residents participated. Neither comfort with computers nor perceptions of prior online learning experiences showed a significant change across years (p > 0.61), with mean comfort rating 3.96 (maximum 5 = very comfortable) and mean experience rating 4.42 (maximum 6 = strongly agree [favorable]). Comfort showed no significant association with knowledge scores (p = 0.39) but perceptions of prior experiences did, with a 1.56% rise in knowledge score for a 1-point rise in experience score (p = 0.02). Correlations among comfort, perceptions of prior experiences, and number of prior experiences were all small and not statistically significant. Comfort with computers and perceptions of prior experience with online learning remained stable over nine years. Prior good experiences (but not comfort with computers) demonstrated a modest association with knowledge outcomes, suggesting that prior course satisfaction may influence subsequent learning.

  9. Knowledge-based nonuniform sampling in multidimensional NMR.

    PubMed

    Schuyler, Adam D; Maciejewski, Mark W; Arthanari, Haribabu; Hoch, Jeffrey C

    2011-07-01

    The full resolution afforded by high-field magnets is rarely realized in the indirect dimensions of multidimensional NMR experiments because of the time cost of uniformly sampling to long evolution times. Emerging methods utilizing nonuniform sampling (NUS) enable high resolution along indirect dimensions by sampling long evolution times without sampling at every multiple of the Nyquist sampling interval. While the earliest NUS approaches matched the decay of sampling density to the decay of the signal envelope, recent approaches based on coupled evolution times attempt to optimize sampling by choosing projection angles that increase the likelihood of resolving closely-spaced resonances. These approaches employ knowledge about chemical shifts to predict optimal projection angles, whereas prior applications of tailored sampling employed only knowledge of the decay rate. In this work we adapt the matched filter approach as a general strategy for knowledge-based nonuniform sampling that can exploit prior knowledge about chemical shifts and is not restricted to sampling projections. Based on several measures of performance, we find that exponentially weighted random sampling (envelope matched sampling) performs better than shift-based sampling (beat matched sampling). While shift-based sampling can yield small advantages in sensitivity, the gains are generally outweighed by diminished robustness. Our observation that more robust sampling schemes are only slightly less sensitive than schemes highly optimized using prior knowledge about chemical shifts has broad implications for any multidimensional NMR study employing NUS. The results derived from simulated data are demonstrated with a sample application to PfPMT, the phosphoethanolamine methyltransferase of the human malaria parasite Plasmodium falciparum.

  10. When Prior Knowledge Interferes, Inhibitory Control Matters for Learning: The Case of Numerical Magnitude Representations

    ERIC Educational Resources Information Center

    Laski, Elida V.; Dulaney, Alana

    2015-01-01

    The present study tested the "interference hypothesis"-that learning and using more advanced representations and strategies requires the inhibition of prior, less advanced ones. Specifically, it examined the relation between inhibitory control and number line estimation performance. Experiment 1 compared the accuracy of adults' (N = 53)…

  11. A Study on Improving Information Processing Abilities Based on PBL

    ERIC Educational Resources Information Center

    Kim, Du Gyu; Lee, JaeMu

    2014-01-01

    This study examined an instruction method for the improvement of information processing abilities in elementary school students. Current elementary students are required to develop information processing abilities to create new knowledge for this digital age. There is, however, a shortage of instruction strategies for these information processing…

  12. Prior Knowledge, Older Age, and Higher Allowance Are Risk Factors for Self-Medication with Antibiotics among University Students in Southern China

    PubMed Central

    Pan, Hui; Cui, Binglin; Zhang, Dangui; Farrar, Jeremy; Law, Frieda; Ba-Thein, William

    2012-01-01

    Background Self-medication with antibiotics (SMA) has been reported among university students in many countries, but little research has been done on this issue in China. The objective of this study was to evaluate knowledge and behaviors of university students and risk factors concerning SMA. Methodology/Principal Findings Using a novel questionnaire-based data collection instrument, an anonymous online survey was conducted with the students of Shantou University (STU), a university comprising 8 schools/colleges in eastern Guangdong, China. Of 1,300 respondents (13.8% of total eligible participants), 47.8% had self-treated with antibiotics. Logistic regression analysis identified prior knowledge of antibiotics (PKA), older age, and higher monthly allowance as independent risk factors for SMA. PKA significantly influenced students' knowledge about antibiotics, their uses, and common adverse reactions (all p<0.05). Among self-medicated students, 61.7% used antibiotics at least twice in the previous year. Community pharmacies were the major source of self-prescribed antibiotics. Reported common indications for SMA were sore throat (59.7%), fever (38.2%), cough (37.4%), runny nose (29.3%), and nasal congestion (28.7%). While 74.1% of self-medication episodes were based on students' own experiences, only 31.1% of students claimed to understand the package insert. Alteration of antibiotics and dosage during the course of self-treatment was made by 63.8% and 55.6% of students, respectively. At least two kinds of antibiotics were simultaneously taken by 82.6% of students. The majority of self-medicated students failed to complete the course of antibiotics. Adverse reactions were reported by 16.3% of students. Amoxicillin was the most common antibiotic used for self-medication. Conclusions High prevalence of SMA was noted among STU students. Presence of risk factors and risk-associated behaviors/attitudes in the study population calls for focused educational intervention

  13. Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors.

    PubMed

    Jiang, Yu; Simon, Steve; Mayo, Matthew S; Gajewski, Byron J

    2015-02-20

    Slow recruitment in clinical trials leads to increased costs and resource utilization, which includes both the clinic staff and patient volunteers. Careful planning and monitoring of the accrual process can prevent the unnecessary loss of these resources. We propose two hierarchical extensions to the existing Bayesian constant accrual model: the accelerated prior and the hedging prior. The new proposed priors are able to adaptively utilize the researcher's previous experience and current accrual data to produce the estimation of trial completion time. The performance of these models, including prediction precision, coverage probability, and correct decision-making ability, is evaluated using actual studies from our cancer center and simulation. The results showed that a constant accrual model with strongly informative priors is very accurate when accrual is on target or slightly off, producing smaller mean squared error, high percentage of coverage, and a high number of correct decisions as to whether or not continue the trial, but it is strongly biased when off target. Flat or weakly informative priors provide protection against an off target prior but are less efficient when the accrual is on target. The accelerated prior performs similar to a strong prior. The hedging prior performs much like the weak priors when the accrual is extremely off target but closer to the strong priors when the accrual is on target or only slightly off target. We suggest improvements in these models and propose new models for future research. Copyright © 2014 John Wiley & Sons, Ltd.

  14. Number sense in infancy predicts mathematical abilities in childhood.

    PubMed

    Starr, Ariel; Libertus, Melissa E; Brannon, Elizabeth M

    2013-11-05

    Human infants in the first year of life possess an intuitive sense of number. This preverbal number sense may serve as a developmental building block for the uniquely human capacity for mathematics. In support of this idea, several studies have demonstrated that nonverbal number sense is correlated with mathematical abilities in children and adults. However, there has been no direct evidence that infant numerical abilities are related to mathematical abilities later in childhood. Here, we provide evidence that preverbal number sense in infancy predicts mathematical abilities in preschool-aged children. Numerical preference scores at 6 months of age correlated with both standardized math test scores and nonsymbolic number comparison scores at 3.5 years of age, suggesting that preverbal number sense facilitates the acquisition of numerical symbols and mathematical abilities. This relationship held even after controlling for general intelligence, indicating that preverbal number sense imparts a unique contribution to mathematical ability. These results validate the many prior studies purporting to show number sense in infancy and support the hypothesis that mathematics is built upon an intuitive sense of number that predates language.

  15. Performance of informative priors skeptical of large treatment effects in clinical trials: A simulation study.

    PubMed

    Pedroza, Claudia; Han, Weilu; Thanh Truong, Van Thi; Green, Charles; Tyson, Jon E

    2018-01-01

    One of the main advantages of Bayesian analyses of clinical trials is their ability to formally incorporate skepticism about large treatment effects through the use of informative priors. We conducted a simulation study to assess the performance of informative normal, Student- t, and beta distributions in estimating relative risk (RR) or odds ratio (OR) for binary outcomes. Simulation scenarios varied the prior standard deviation (SD; level of skepticism of large treatment effects), outcome rate in the control group, true treatment effect, and sample size. We compared the priors with regards to bias, mean squared error (MSE), and coverage of 95% credible intervals. Simulation results show that the prior SD influenced the posterior to a greater degree than the particular distributional form of the prior. For RR, priors with a 95% interval of 0.50-2.0 performed well in terms of bias, MSE, and coverage under most scenarios. For OR, priors with a wider 95% interval of 0.23-4.35 had good performance. We recommend the use of informative priors that exclude implausibly large treatment effects in analyses of clinical trials, particularly for major outcomes such as mortality.

  16. The Role of Prior Knowledge and Problem Contexts in Students' Explanations of Complex System

    ERIC Educational Resources Information Center

    Barth-Cohen, Lauren April

    2012-01-01

    The purpose of this dissertation is to study students' competencies in generating scientific explanations within the domain of complex systems, an interdisciplinary area in which students tend to have difficulties. While considering students' developing explanations of how complex systems work, I investigate the role of prior knowledge…

  17. Assessment of Knowledge Transfer in the Context of Biomechanics

    ERIC Educational Resources Information Center

    Hutchison, Randolph E.

    2011-01-01

    The dynamic act of knowledge transfer, or the connection of a student's prior knowledge to features of a new problem, could be considered one of the primary goals of education. Yet studies highlight more instances of failure than success. This dissertation focuses on how knowledge transfer takes place during individual problem solving, in…

  18. Do Knowledge-Component Models Need to Incorporate Representational Competencies?

    ERIC Educational Resources Information Center

    Rau, Martina Angela

    2017-01-01

    Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…

  19. Risk of future cardiovascular disease in women with prior preeclampsia: a focus group study.

    PubMed

    Seely, Ellen W; Rich-Edwards, Janet; Lui, Janet; Nicklas, Jacinda M; Saxena, Aditi; Tsigas, Eleni; Levkoff, Sue E

    2013-12-21

    A history of preeclampsia is a risk factor for the future development of hypertension and cardiovascular disease (CVD). The objective of this study was to assess, in women with prior preeclampsia, the level of knowledge regarding the link between preeclampsia and CVD, motivators for and barriers to lifestyle change and interest in a lifestyle modification program to decrease CVD risk following a pregnancy complicated by preeclampsia. Twenty women with a history of preeclampsia participated in 5 phone-based focus groups. Focus groups were recorded, transcribed, and analyzed. Qualitative content analysis was used to identify common themes across focus groups. Consensus was reached on a representative set of themes describing the data. Women with prior preeclampsia were in general unaware of the link between preeclampsia and future CVD but eager to learn about this link and motivated to achieve a healthy lifestyle. Major perceived barriers to lifestyle change were lack of time, cost of healthy foods and family responsibilities. Perceived facilitators included knowledge of the link between preeclampsia and CVD, a desire to stay healthy, and creating a healthy home for their children. Women with prior preeclampsia were interested in the idea of a web-based program focused on lifestyle strategies to decrease CVD risk in women. Women with prior preeclampsia were eager to learn about the link between preeclampsia and CVD and to take steps to reduce CVD risk. A web-based program to help women with prior preeclampsia adopt a healthy lifestyle may be an appropriate strategy for this population.

  20. Effects of Age and Ability on Self-Reported Memory Functioning and Knowledge of Memory Aging

    ERIC Educational Resources Information Center

    Reese, Celinda M.; Cherry, Katie E.

    2006-01-01

    The authors examined the effects of age and ability (as measured by education and verbal ability) on self-reported memory functioning in adulthood. In Study 1, the age and ability groups responded similarly to the Cognitive Failures Questionnaire (D. E. Broadbent, P. F. Cooper, P. Fitzgerald, & K. R. Parkes, 1982), but differences emerged when the…

  1. Nutrition Knowledge of Teen-Agers.

    ERIC Educational Resources Information Center

    Skinner, Jean D.; Woodburn, Margy J.

    1984-01-01

    Nutrition knowledge tests were administered to 1,193 adolescents in Oregon prior to instructional units on nutrition in health and home economics classes. Mean scores on the tests were low. Guidelines for nutrition educators of adolescents are presented. (Author/CJB)

  2. Interplay of Secondary Pre-Service Teacher Content Knowledge (CK), Pedagogical Content Knowledge (PCK) and Attitudes Regarding Scientific Inquiry Teaching within Teacher Training

    ERIC Educational Resources Information Center

    Smit, Robbert; Weitzel, Holger; Blank, Robert; Rietz, Florian; Tardent, Josiane; Robin, Nicolas

    2017-01-01

    Background: Beginning teachers encounter several constraints with respect to scientific inquiry. Depending on their prior beliefs, knowledge and understanding, these constraints affect their teaching of inquiry. Purpose: To investigate quantitatively the longitudinal relationship between pre-service teachers' knowledge and attitudes on scientific…

  3. Comfort and experience with online learning: trends over nine years and associations with knowledge

    PubMed Central

    2014-01-01

    Background Some evidence suggests that attitude toward computer-based instruction is an important determinant of success in online learning. We sought to determine how comfort using computers and perceptions of prior online learning experiences have changed over the past decade, and how these associate with learning outcomes. Methods Each year from 2003–2011 we conducted a prospective trial of online learning. As part of each year’s study, we asked medicine residents about their comfort using computers and if their previous experiences with online learning were favorable. We assessed knowledge using a multiple-choice test. We used regression to analyze associations and changes over time. Results 371 internal medicine and family medicine residents participated. Neither comfort with computers nor perceptions of prior online learning experiences showed a significant change across years (p > 0.61), with mean comfort rating 3.96 (maximum 5 = very comfortable) and mean experience rating 4.42 (maximum 6 = strongly agree [favorable]). Comfort showed no significant association with knowledge scores (p = 0.39) but perceptions of prior experiences did, with a 1.56% rise in knowledge score for a 1-point rise in experience score (p = 0.02). Correlations among comfort, perceptions of prior experiences, and number of prior experiences were all small and not statistically significant. Conclusions Comfort with computers and perceptions of prior experience with online learning remained stable over nine years. Prior good experiences (but not comfort with computers) demonstrated a modest association with knowledge outcomes, suggesting that prior course satisfaction may influence subsequent learning. PMID:24985690

  4. Profiles of Inconsistent Knowledge in Children's Pathways of Conceptual Change

    ERIC Educational Resources Information Center

    Schneider, Michael; Hardy, Ilonca

    2013-01-01

    Conceptual change requires learners to restructure parts of their conceptual knowledge base. Prior research has identified the fragmentation and the integration of knowledge as 2 important component processes of knowledge restructuring but remains unclear as to their relative importance and the time of their occurrence during development. Previous…

  5. Accreditation or Validation of Prior Experiential Learning: Knowledge and "Savoirs" in France-A Different Perspective?

    ERIC Educational Resources Information Center

    Pouget, Mireille; Osborne, Michael

    2004-01-01

    This article stems from the study of the process and application of Accreditation of Prior Experiential Learning (APEL) in the French higher education system, in France referred to as VAP (Validation des Acquis Professionnels ). The paper seeks to review not only the context in which the concepts underpinning VAP in France have developed, but also…

  6. Parent knowledge on paediatric burn prevention related to the home environment.

    PubMed

    Cox, Sharon G; Burahee, Abdus; Albertyn, Rene; Makahabane, Jahelihle; Rode, Heinz

    2016-12-01

    Burns amongst children in South Africa are common and usually occur in the immediate home environment. In surveys many parents have requested ongoing educational burn prevention programs. This exploratory thematic parent orientation study assessed the level of parental knowledge on burn prevention strategies in the home. Study populations included: Parent with a burned child admitted to hospital, parents of non-burnt hospital attenders and hospital naive parents unbiased by previous exposure to burns. Participants answered a burn prevention questionnaire consisting of five sections. In this, two pictures depicting the circumstances associated with paediatric burns sustained at home were used, one with 15 potential danger points and one sanitized. There was no educational intervention prior to parents viewing the pictures. There were 268 participants; 72 burnt inpatient, 97 non-burnt outpatients and 99 hospital naive participants. The inpatient population displayed the highest incidence of informal housing. A positive relationship was identified between the overall study population and burns general knowledge and prevention. Educated participants were more knowledgeable about burns and better at identifying risk factors. Knowledge about burns was higher in the outpatient population and the highest in the Naïve group when compared to the Inpatients group (p<0.01). The naïve group scored higher in prior knowledge about burns and burn prevention. Of the potential 15 danger points only four of 72 inpatients and three of 97 outpatients identified more than 80% of the potential danger points as compared to 43 of 99 of the naïve group. The dangling kettle cord, the use of a mug to pour paraffin into a lantern and the child pulling a tablecloth were the most common dangerous aspects identified. We demonstrated a positive correlation between participants' ability to identify potential dangers, identify safe practice and implementing safe practice. Our findings show that

  7. Anatomical knowledge retention in third-year medical students prior to obstetrics and gynecology and surgery rotations.

    PubMed

    Jurjus, Rosalyn A; Lee, Juliet; Ahle, Samantha; Brown, Kirsten M; Butera, Gisela; Goldman, Ellen F; Krapf, Jill M

    2014-01-01

    Surgical anatomy is taught early in medical school training. The literature shows that many physicians, especially surgical specialists, think that anatomical knowledge of medical students is inadequate and nesting of anatomical sciences later in the clinical curriculum may be necessary. Quantitative data concerning this perception of an anatomical knowledge deficit are lacking, as are specifics as to what content should be reinforced. This study identifies baseline areas of strength and weakness in the surgical anatomy knowledge of medical students entering surgical rotations. Third-year medical students completed a 20-25-question test at the beginning of the General Surgery and Obstetrics and Gynecology rotations. Knowledge of inguinal anatomy (45.3%), orientation in abdominal cavity (38.8%), colon (27.7%), and esophageal varices (12.8%) was poor. The numbers in parentheses are the percentage of questions answered correctly per topic. In comparing those scores to matched test items from this cohort as first-year students in the anatomy course, the drop in retention overall was very significant (P = 0.009) from 86.9 to 51.5%. Students also scored lower in questions relating to pelvic organs (46.7%), urogenital development (54.0%), pulmonary development (17.8%), and pregnancy (17.8%). These data showed that indeed, knowledge of surgical anatomy is poor for medical students entering surgical clerkships. These data collected will be utilized to create interactive learning modules, aimed at improving clinically relevant anatomical knowledge retention. These modules, which will be available to students during their inpatient surgical rotations, connect basic anatomy principles to clinical cases, with the ultimate goal of closing the anatomical knowledge gap. © 2014 American Association of Anatomists.

  8. Knowledge Management: The Bedrock of Enterprise Strategy.

    ERIC Educational Resources Information Center

    Stevens, George H.; Krasner, Scott M.

    2001-01-01

    Discussion of information technology and competitive advantages in organizations focuses on the scope of knowledge management, its goals, components, and outcomes. Highlights include the relationship between effective identification and use of existing knowledge; the creation and re-use of new knowledge; and the ability of an organization to…

  9. 49 CFR 240.209 - Procedures for making the determination on knowledge.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... knowledge. 240.209 Section 240.209 Transportation Other Regulations Relating to Transportation (Continued... determination on knowledge. (a) Each railroad, prior to initially certifying or recertifying any person as an... with the requirements of § 240.125 of this part, demonstrated sufficient knowledge of the railroad's...

  10. A cautionary note on Bayesian estimation of population size by removal sampling with diffuse priors.

    PubMed

    Bord, Séverine; Bioche, Christèle; Druilhet, Pierre

    2018-05-01

    We consider the problem of estimating a population size by removal sampling when the sampling rate is unknown. Bayesian methods are now widespread and allow to include prior knowledge in the analysis. However, we show that Bayes estimates based on default improper priors lead to improper posteriors or infinite estimates. Similarly, weakly informative priors give unstable estimators that are sensitive to the choice of hyperparameters. By examining the likelihood, we show that population size estimates can be stabilized by penalizing small values of the sampling rate or large value of the population size. Based on theoretical results and simulation studies, we propose some recommendations on the choice of the prior. Then, we applied our results to real datasets. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  11. Number sense in infancy predicts mathematical abilities in childhood

    PubMed Central

    Starr, Ariel; Libertus, Melissa E.; Brannon, Elizabeth M.

    2013-01-01

    Human infants in the first year of life possess an intuitive sense of number. This preverbal number sense may serve as a developmental building block for the uniquely human capacity for mathematics. In support of this idea, several studies have demonstrated that nonverbal number sense is correlated with mathematical abilities in children and adults. However, there has been no direct evidence that infant numerical abilities are related to mathematical abilities later in childhood. Here, we provide evidence that preverbal number sense in infancy predicts mathematical abilities in preschool-aged children. Numerical preference scores at 6 months of age correlated with both standardized math test scores and nonsymbolic number comparison scores at 3.5 years of age, suggesting that preverbal number sense facilitates the acquisition of numerical symbols and mathematical abilities. This relationship held even after controlling for general intelligence, indicating that preverbal number sense imparts a unique contribution to mathematical ability. These results validate the many prior studies purporting to show number sense in infancy and support the hypothesis that mathematics is built upon an intuitive sense of number that predates language. PMID:24145427

  12. [Management abilities of the head surgeon: essential for survival!].

    PubMed

    Jähne, J

    2012-04-01

    Due to increased economic challenges in the management of hospitals head surgeons do not only need excellent surgical expertise but also significant management qualities. The personality of head surgeons should include authenticity, sincerity, fairness and the ability to cooperate. Visionary leadership, strategic thinking and strategic management of the personnel are further prerequisites for success. Besides good abilities in communication head surgeons need knowledge of the operating figures for interpretation. To keep up with the own capabilities time and self-management is essential. A survival as head surgeon is likely if these qualities and abilities exist.

  13. Survey of rubella knowledge and acceptability of rubella vaccination among Brazilian adults prior to mass vaccination.

    PubMed

    Vieira, Juliana Costa; Carvalho, Marlene Tavares Barros de; Checchia, Ricardo L; Trombiere, Marcier; Flannery, Brendan

    2011-10-01

    Evaluate knowledge of rubella and acceptability of vaccination and identify sources of health information among brazilian adults to inform communication strategies for a national vaccination campaign to eliminate rubella and congenital rubella syndrome (CRS). From 5-8 July 2008 a qualitative telephone survey was conducted among a nonprobabilistic sample of brazilian adults 18 to 65 years of age (n = 1 023) from all five geographic regions of Brazil to measure knowledge of rubella and willingness to receive the vaccine and to identify sources of health information. Frequencies of responses were stratified by respondents' sex, age, education, and income. Although 69.9% of respondents said they knew what rubella was, actual knowledge of the disease was limited, with only 29.9% answering affirmatively when asked if they would recognize symptoms of rubella infection. Self-reported knowledge increased with increasing age, education, and income, and was higher among women than men. A total of 94.5% of the respondents expressed willingness to be vaccinated for rubella elimination. The most frequently mentioned sources of health information were television and doctors. Despite limited knowledge of rubella, brazilian adults expressed willingness to be vaccinated for disease elimination.

  14. Knowledge acquisition for temporal abstraction.

    PubMed

    Stein, A; Musen, M A; Shahar, Y

    1996-01-01

    Temporal abstraction is the task of detecting relevant patterns in data over time. The knowledge-based temporal-abstraction method uses knowledge about a clinical domain's contexts, external events, and parameters to create meaningful interval-based abstractions from raw time-stamped clinical data. In this paper, we describe the acquisition and maintenance of domain-specific temporal-abstraction knowledge. Using the PROTEGE-II framework, we have designed a graphical tool for acquiring temporal knowledge directly from expert physicians, maintaining the knowledge in a sharable form, and converting the knowledge into a suitable format for use by an appropriate problem-solving method. In initial tests, the tool offered significant gains in our ability to rapidly acquire temporal knowledge and to use that knowledge to perform automated temporal reasoning.

  15. Spotting Books and Countries: New Approaches to Estimating and Conceptualizing Prior Intelligence

    ERIC Educational Resources Information Center

    Scott, Kirsten M.; de Wit, Isabella; Deary, Ian J.

    2006-01-01

    We aimed to design alternative estimates of pre-morbid/prior intelligence to the National Adult Reading Test (NART) and the Spot-the-Word (STW) in order to tap non-vocabulary based knowledge stores. The rationale for the development of the new tests was that more cognitively able individuals acquire and retain more "singular facts" from their…

  16. Standard model of knowledge representation

    NASA Astrophysics Data System (ADS)

    Yin, Wensheng

    2016-09-01

    Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

  17. Addressing potential prior-data conflict when using informative priors in proof-of-concept studies.

    PubMed

    Mutsvari, Timothy; Tytgat, Dominique; Walley, Rosalind

    2016-01-01

    Bayesian methods are increasingly used in proof-of-concept studies. An important benefit of these methods is the potential to use informative priors, thereby reducing sample size. This is particularly relevant for treatment arms where there is a substantial amount of historical information such as placebo and active comparators. One issue with using an informative prior is the possibility of a mismatch between the informative prior and the observed data, referred to as prior-data conflict. We focus on two methods for dealing with this: a testing approach and a mixture prior approach. The testing approach assesses prior-data conflict by comparing the observed data to the prior predictive distribution and resorting to a non-informative prior if prior-data conflict is declared. The mixture prior approach uses a prior with a precise and diffuse component. We assess these approaches for the normal case via simulation and show they have some attractive features as compared with the standard one-component informative prior. For example, when the discrepancy between the prior and the data is sufficiently marked, and intuitively, one feels less certain about the results, both the testing and mixture approaches typically yield wider posterior-credible intervals than when there is no discrepancy. In contrast, when there is no discrepancy, the results of these approaches are typically similar to the standard approach. Whilst for any specific study, the operating characteristics of any selected approach should be assessed and agreed at the design stage; we believe these two approaches are each worthy of consideration. Copyright © 2015 John Wiley & Sons, Ltd.

  18. Prior-knowledge Fitting of Accelerated Five-dimensional Echo Planar J-resolved Spectroscopic Imaging: Effect of Nonlinear Reconstruction on Quantitation.

    PubMed

    Iqbal, Zohaib; Wilson, Neil E; Thomas, M Albert

    2017-07-24

    1 H Magnetic Resonance Spectroscopic imaging (SI) is a powerful tool capable of investigating metabolism in vivo from mul- tiple regions. However, SI techniques are time consuming, and are therefore difficult to implement clinically. By applying non-uniform sampling (NUS) and compressed sensing (CS) reconstruction, it is possible to accelerate these scans while re- taining key spectral information. One recently developed method that utilizes this type of acceleration is the five-dimensional echo planar J-resolved spectroscopic imaging (5D EP-JRESI) sequence, which is capable of obtaining two-dimensional (2D) spectra from three spatial dimensions. The prior-knowledge fitting (ProFit) algorithm is typically used to quantify 2D spectra in vivo, however the effects of NUS and CS reconstruction on the quantitation results are unknown. This study utilized a simulated brain phantom to investigate the errors introduced through the acceleration methods. Errors (normalized root mean square error >15%) were found between metabolite concentrations after twelve-fold acceleration for several low concentra- tion (<2 mM) metabolites. The Cramér Rao lower bound% (CRLB%) values, which are typically used for quality control, were not reflective of the increased quantitation error arising from acceleration. Finally, occipital white (OWM) and gray (OGM) human brain matter were quantified in vivo using the 5D EP-JRESI sequence with eight-fold acceleration.

  19. Relations between Prenatal Testosterone Levels and Cognitive Abilities at 4 Years.

    ERIC Educational Resources Information Center

    Finegan, Jo-Anne K.; And Others

    1992-01-01

    Compared children's cognitive abilities at four years and their prenatal amniotic fluid testosterone levels. For girls, prenatal testosterone levels were related in a curvilinear manner to language comprehension and classification abilities, and inversely related to counting and knowledge of number facts. For boys, no relationships were found. (BC)

  20. Anxiety symptoms prior to a prostate cancer diagnosis: Associations with knowledge and openness to treatment.

    PubMed

    Dillard, Amanda J; Scherer, Laura D; Ubel, Peter A; Alexander, Stewart; Fagerlin, Angela

    2017-02-01

    Research suggests that anxiety may be a common response to a cancer diagnosis, but research is needed to examine anxiety before diagnosis. Anxiety before diagnosis may relate to the comprehension of relevant health information or openness to potential treatments. This study examined anxiety and these outcomes in men who were waiting to learn of a prostate cancer diagnosis. One goal of this study was to determine whether anxiety would increase as men came closer to learning the results of their prostate cancer biopsy. Another goal was to test whether anxiety was associated with knowledge about prostate cancer or openness to different treatments. Men (N = 265) who were facing a prostate cancer diagnosis were surveyed at two time points. Time 1 occurred at the time of biopsy, and Time 2 occurred immediately before men received their biopsy result. At each time point, men reported their anxiety about prostate cancer and their biopsy result. At Time 2, they completed a knowledge test of information about prostate cancer and reported their openness to different potential treatments. Anxiety symptoms increased as men came closer to learning their diagnosis. Also, higher anxiety was associated with lower knowledge and greater openness to particular treatments like surgery. Interactions showed that when anxiety increased from Time 1 to Time 2, having high or low knowledge mattered less to treatment openness. Waiting for a cancer diagnosis is an important time period in which anxiety may increase and relate to information processing and openness to treatments. Statement of contribution What is already known on this subject? Men undergoing prostate cancer screening have been found to experience high and low levels of anxiety. Research has shown that negative emotions like anxiety are common following a cancer diagnosis, but little research has examined emotions right before diagnosis. Anxiety has been associated with information processing and motivation to engage in