Sample records for achieve learning objectives

  1. [Learning objectives achievement in ethics education for medical school students].

    PubMed

    Chae, Sujin; Lim, Kiyoung

    2015-06-01

    This study aimed to examine the necessity for research ethics and learning objectives in ethics education at the undergraduate level. A total of 393 fourth-year students, selected from nine medical schools, participated in a survey about learning achievement and the necessity for it. It was found that the students had very few chances to receive systematic education in research ethics and that they assumed that research ethics education was provided during graduate school or residency programs. Moreover, the students showed a relatively high learning performance in life ethics, while learning achievement was low in research ethics. Medical school students revealed low interest in and expectations of research ethics in general; therefore, it is necessary to develop guidelines for research ethics in the present situation, in which medical education mainly focuses on life ethics.

  2. Storytelling in the digital world: achieving higher-level learning objectives.

    PubMed

    Schwartz, Melissa R

    2012-01-01

    Nursing students are not passive media consumers but instead live in a technology ecosystem where digital is the language they speak. To prepare the next generation of nurses, educators must incorporate multiple technologies to improve higher-order learning. The author discusses the evolution and use of storytelling as part of the digital world and how digital stories can be aligned with Bloom's Taxonomy so that students achieve higher-level learning objectives.

  3. The Computer Book of the Internal Medicine Resident: competence acquisition and achievement of learning objectives.

    PubMed

    Oristrell, J; Oliva, J C; Casanovas, A; Comet, R; Jordana, R; Navarro, M

    2014-01-01

    The Computer Book of the Internal Medicine resident (CBIMR) is a computer program that was validated to analyze the acquisition of competences in teams of Internal Medicine residents. To analyze the characteristics of the rotations during the Internal Medicine residency and to identify the variables associated with the acquisition of clinical and communication skills, the achievement of learning objectives and resident satisfaction. All residents of our service (n=20) participated in the study during a period of 40 months. The CBIMR consisted of 22 self-assessment questionnaires specific for each rotation, with items on services (clinical workload, disease protocolization, resident responsibilities, learning environment, service organization and teamwork) and items on educational outcomes (acquisition of clinical and communication skills, achievement of learning objectives, overall satisfaction). Associations between services features and learning outcomes were analyzed using bivariate and multivariate analysis. An intense clinical workload, high resident responsibilities and disease protocolization were associated with the acquisition of clinical skills. High clinical competence and teamwork were both associated with better communication skills. Finally, an adequate learning environment was associated with increased clinical competence, the achievement of educational goals and resident satisfaction. Potentially modifiable variables related with the operation of clinical services had a significant impact on the acquisition of clinical and communication skills, the achievement of educational goals, and resident satisfaction during the specialized training in Internal Medicine. Copyright © 2013 Elsevier España, S.L. All rights reserved.

  4. The Effect of General Objectives Defined by Behavioral Objectives on Achievement in a College Zoology Course.

    ERIC Educational Resources Information Center

    Rushin, John W.; Baller, William

    1981-01-01

    Tests the effect of developmental level objectives on student achievement and efficiency in a zoology course. These objectives were found to have no significant effect on achievement, but they did significantly increase student efficiency in learning the content material of the module. (Author)

  5. Intelligent Discovery for Learning Objects Using Semantic Web Technologies

    ERIC Educational Resources Information Center

    Hsu, I-Ching

    2012-01-01

    The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…

  6. The Place of Multiple Intelligence in Achieving the Objectives and Goals of Open and Distance Learning Institutions: A Critical Analysis

    ERIC Educational Resources Information Center

    Ojo, Olugbenga David; Olakulehin, Felix Kayode

    2006-01-01

    This paper examined the nature of open and distance learning institutions as organizations where synergy of efforts of all personnel is required in order to achieve the aims and objectives of the institution. It explored the huge infrastructural and personnel requirements of distance learning institutions, especially at inception, and the…

  7. Representing and Learning Complex Object Interactions

    PubMed Central

    Zhou, Yilun; Konidaris, George

    2017-01-01

    We present a framework for representing scenarios with complex object interactions, in which a robot cannot directly interact with the object it wishes to control, but must instead do so via intermediate objects. For example, a robot learning to drive a car can only indirectly change its pose, by rotating the steering wheel. We formalize such complex interactions as chains of Markov decision processes and show how they can be learned and used for control. We describe two systems in which a robot uses learning from demonstration to achieve indirect control: playing a computer game, and using a hot water dispenser to heat a cup of water. PMID:28593181

  8. Object Oriented Learning Objects

    ERIC Educational Resources Information Center

    Morris, Ed

    2005-01-01

    We apply the object oriented software engineering (OOSE) design methodology for software objects (SOs) to learning objects (LOs). OOSE extends and refines design principles for authoring dynamic reusable LOs. Our learning object class (LOC) is a template from which individualised LOs can be dynamically created for, or by, students. The properties…

  9. Cooperative Learning and Learning Achievement in Social Science Subjects for Sociable Students

    ERIC Educational Resources Information Center

    Herpratiwi; Darsono; Sasmiati; Pujiyatli

    2018-01-01

    Purpose: The research objective was to compare students' learning achievement for sociable learning motivation students in social science (IPS) using cooperative learning. Research Methods: This research used a quasi-experimental method with a pre-test/post-test design involving 35 fifth-grade students. The learning process was conducted four…

  10. Self Regulated Learning of High Achievers

    ERIC Educational Resources Information Center

    Rathod, Ami

    2010-01-01

    The study was conducted on high achievers of Senior Secondary school. Main objectives were to identify the self regulated learners among the high achievers, to find out dominant components and characteristics operative in self regulated learners and to compare self regulated learning of learners with respect to their subject (science and non…

  11. Using Weblog in Cooperative Learning to Improve the Achievement of History Learning

    ERIC Educational Resources Information Center

    Leng, Lim Hooi; Leng, Chin Hai; Abedalaziz, Nabeel

    2013-01-01

    This research investigates the use of Weblog in Cooperative Learning to enhance students' learning of History. The main issues of this study were the lack of interest and low achievement scores in History learning. The objectives of this study are to explore the incorporation of Weblog in Cooperative Learning within the teaching and learning…

  12. Learning Object Repositories

    ERIC Educational Resources Information Center

    Lehman, Rosemary

    2007-01-01

    This chapter looks at the development and nature of learning objects, meta-tagging standards and taxonomies, learning object repositories, learning object repository characteristics, and types of learning object repositories, with type examples. (Contains 1 table.)

  13. A Model for Predicting Learning Flow and Achievement in Corporate e-Learning

    ERIC Educational Resources Information Center

    Joo, Young Ju; Lim, Kyu Yon; Kim, Su Mi

    2012-01-01

    The primary objective of this study was to investigate the determinants of learning flow and achievement in corporate online training. Self-efficacy, intrinsic value, and test anxiety were selected as learners' motivational factors, while perceived usefulness and ease of use were also selected as learning environmental factors. Learning flow was…

  14. Common Learning Objectives for Undergraduate Control Systems Laboratories

    ERIC Educational Resources Information Center

    Reck, Rebecca M.

    2017-01-01

    Course objectives, like research objectives and product requirements, help provide clarity and direction for faculty and students. Unfortunately, course and laboratory objectives are not always clearly stated. Without a clear set of objectives, it can be hard to design a learning experience and determine whether students are achieving the intended…

  15. An Achievement Degree Analysis Approach to Identifying Learning Problems in Object-Oriented Programming

    ERIC Educational Resources Information Center

    Allinjawi, Arwa A.; Al-Nuaim, Hana A.; Krause, Paul

    2014-01-01

    Students often face difficulties while learning object-oriented programming (OOP) concepts. Many papers have presented various assessment methods for diagnosing learning problems to improve the teaching of programming in computer science (CS) higher education. The research presented in this article illustrates that although max-min composition is…

  16. Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects

    PubMed Central

    Chuang, Lewis L.; Vuong, Quoc C.; Bülthoff, Heinrich H.

    2012-01-01

    There is evidence that observers use learned object motion to recognize objects. For instance, studies have shown that reversing the learned direction in which a rigid object rotated in depth impaired recognition accuracy. This motion reversal can be achieved by playing animation sequences of moving objects in reverse frame order. In the current study, we used this sequence-reversal manipulation to investigate whether observers encode the motion of dynamic objects in visual memory, and whether such dynamic representations are encoded in a way that is dependent on the viewing conditions. Participants first learned dynamic novel objects, presented as animation sequences. Following learning, they were then tested on their ability to recognize these learned objects when their animation sequence was shown in the same sequence order as during learning or in the reverse sequence order. In Experiment 1, we found that non-rigid motion contributed to recognition performance; that is, sequence-reversal decreased sensitivity across different tasks. In subsequent experiments, we tested the recognition of non-rigidly deforming (Experiment 2) and rigidly rotating (Experiment 3) objects across novel viewpoints. Recognition performance was affected by viewpoint changes for both experiments. Learned non-rigid motion continued to contribute to recognition performance and this benefit was the same across all viewpoint changes. By comparison, learned rigid motion did not contribute to recognition performance. These results suggest that non-rigid motion provides a source of information for recognizing dynamic objects, which is not affected by changes to viewpoint. PMID:22661939

  17. Learning Objects and Gerontology

    ERIC Educational Resources Information Center

    Weinreich, Donna M.; Tompkins, Catherine J.

    2006-01-01

    Virtual AGE (vAGE) is an asynchronous educational environment that utilizes learning objects focused on gerontology and a learning anytime/anywhere philosophy. This paper discusses the benefits of asynchronous instruction and the process of creating learning objects. Learning objects are "small, reusable chunks of instructional media" Wiley…

  18. Teaching and Assessing Ethics as a Learning Objective: One School's Journey

    ERIC Educational Resources Information Center

    Templin, Carl R.; Christensen, David

    2009-01-01

    This paper reports the results of a ten-year effort to establish ethics as a learning objective for all business students, to assess the effectiveness in achieving that learning objective and to incorporate ethical conduct as a part of the school's organizational culture. First, it addresses the importance of ethics instruction for all business…

  19. Matching medical student achievement to learning objectives and outcomes: a paradigm shift for an implemented teaching module.

    PubMed

    Atta, Ihab Shafek; AlQahtani, Fahd Nasser

    2018-01-01

    Low student achievement in a basic imaging module was the impetus for an assessment of the module. A valid, reliable, and structured Likert scale was designed to measure the degree of student satisfaction with the domains of the module, including learning objectives (LO), teaching strategy and tools (TT), assessment tools (AT), and allotted credit hours (CH). Further analysis was conducted of student dissatisfaction to determine the subdomain in which module improvement was to be implemented. Statistical analysis of data among Likert scale domains was conducted. Likert scale data showed the TT domain to be the major reason for low student achievement. Statistical studies revealed 57/117 students (48.6%) were dissatisfied with TT, compared with LO 16/117 (13.6%), AT 54/117 (46.1%), and CH 12/117 (10.2%). Significant P -values were obtained for LO vs TT ( P <0.0001), LO vs AT ( P <0.0001), LO vs CH ( P <0.03), TT vs CH ( P <0.0001), and AT vs CH ( P <0.0001). No significant difference was observed between TT and AT ( P <0.29). Regarding TT, 41/117 (34.9%) students were dissatisfied with lectures (L) compared to hospital-based teaching (HPT) 24/117 (20%), problem-based learning (PBL) 8/117 (6.8%), self-directed learning (SDL) 3/117 (2.5%), and seminars (S) 4/117 (3.4%). Significant P -values were obtained for L vs HPT ( P <0.0001), L vs PBL ( P <0.0001), L vs SDL ( P <0.0001), L vs S ( P <0.0001), HPT vs PBL ( P <0.002), HPT vs SDL ( P <0.0001), and HPT vs S ( P <0.0001). Regarding lecture modifications, student satisfaction was 78.3% compared to 52% before modification. A significant P -value ( P <0.0001) was obtained between Likert scale domains before and after modification. Lecture modification resulted in a good student response and satisfaction. The major reason for low student achievement was the teaching tools, particularly the lectures. Major modifications to lectures improved student achievement. The students and most of the teaching staff were highly

  20. Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning.

    PubMed

    Qiao, Hong; Li, Yinlin; Li, Fengfu; Xi, Xuanyang; Wu, Wei

    2016-10-01

    Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms and structures, and these models provide new solutions for visual recognition tasks. In this paper, based on the recent biological evidence, we propose a framework to mimic the active and dynamic learning and recognition process of the primate visual cortex. From principle point of view, the main contributions are that the framework can achieve unsupervised learning of episodic features (including key components and their spatial relations) and semantic features (semantic descriptions of the key components), which support higher level cognition of an object. From performance point of view, the advantages of the framework are as follows: 1) learning episodic features without supervision-for a class of objects without a prior knowledge, the key components, their spatial relations and cover regions can be learned automatically through a deep neural network (DNN); 2) learning semantic features based on episodic features-within the cover regions of the key components, the semantic geometrical values of these components can be computed based on contour detection; 3) forming the general knowledge of a class of objects-the general knowledge of a class of objects can be formed, mainly including the key components, their spatial relations and average semantic values, which is a concise description of the class; and 4) achieving higher level cognition and dynamic updating-for a test image, the model can achieve classification and subclass semantic descriptions. And the test samples with high confidence are selected to dynamically update the whole model. Experiments are conducted on face images, and a good performance is achieved in each layer of the DNN and the semantic description learning process. Furthermore, the model can be generalized to recognition tasks of other objects with learning ability.

  1. Building Interoperable Learning Objects Using Reduced Learning Object Metadata

    ERIC Educational Resources Information Center

    Saleh, Mostafa S.

    2005-01-01

    The new e-learning generation depends on Semantic Web technology to produce learning objects. As the production of these components is very costly, they should be produced and registered once, and reused and adapted in the same context or in other contexts as often as possible. To produce those components, developers should use learning standards…

  2. A mediation analysis of achievement motives, goals, learning strategies, and academic achievement.

    PubMed

    Diseth, Age; Kobbeltvedt, Therese

    2010-12-01

    Previous research is inconclusive regarding antecedents and consequences of achievement goals, and there is a need for more research in order to examine the joint effects of different types of motives and learning strategies as predictors of academic achievement. To investigate the relationship between achievement motives, achievement goals, learning strategies (deep, surface, and strategic), and academic achievement in a hierarchical model. Participants were 229 undergraduate students (mean age: 21.2 years) of psychology and economics at the University of Bergen, Norway. Variables were measured by means of items from the Achievement Motives Scale (AMS), the Approaches and Study Skills Inventory for Students, and an achievement goal scale. Correlation analysis showed that academic achievement (examination grade) was positively correlated with performance-approach goal, mastery goal, and strategic learning strategies, and negatively correlated with performance-avoidance goal and surface learning strategy. A path analysis (structural equation model) showed that achievement goals were mediators between achievement motives and learning strategies, and that strategic learning strategies mediated the relationship between achievement goals and academic achievement. This study integrated previous findings from several studies and provided new evidence on the direct and indirect effects of different types of motives and learning strategies as predictors of academic achievement.

  3. Assessment of the core learning objectives curriculum for the urology clerkship.

    PubMed

    Rapp, David E; Gong, Edward M; Reynolds, W Stuart; Lucioni, Alvaro; Zagaja, Gregory P

    2007-11-01

    The traditional approach to the surgical clerkship has limitations, including variability of clinical exposure. To optimize student education we developed and introduced the core learning objectives curriculum, which is designed to allow students freedom to direct their learning and focus on core concepts. We performed a prospective, randomized, controlled study to compare the efficacy of core learning objectives vs traditional curricula through objective and subjective measures. Medical students were randomly assigned to the core learning objectives or traditional curricula during the 2-week urology clerkship. Faculty was blinded to student assignment. Upon rotation completion all students were given a 20-question multiple choice examination covering basic urology concepts. In addition, students completed a questionnaire addressing subjective clerkship satisfaction, comprising 15 questions. Between June 2005 and January 2007, 10 core learning objectives students and 10 traditional students completed the urology clerkship. The average +/- SEM multiple choice examination score was 12.1 +/- 0.87 and 9.8 +/- 0.59 for students assigned to the core learning objectives and traditional curricula, respectively (p <0.05). Subjective scores were higher in the core learning objectives cohort, although this result did not attain statistical significance (124.9 +/- 3.72 vs 114.3 +/- 4.96, p = 0.1). Core learning objectives students reported higher satisfaction in all 15 assessed subjective end points. Our experience suggests that the core learning objectives model may be an effective educational tool to help students achieve a broad and directed exposure to the core urological concepts.

  4. Relationship of Perceptual Learning Styles and Academic Achievement among High School Students

    ERIC Educational Resources Information Center

    Rani, K. V.

    2016-01-01

    Perceptual Learning styles are different ways in which people process the information in the course of learning, intimately involved in producing more effective response stimuli. The objective of the study was to find out the correlation between the variables of Perceptual learning style in total and with its dimensions to Academic achievement.…

  5. Development of inquiry-based learning activities integrated with the local learning resource to promote learning achievement and analytical thinking ability of Mathayomsuksa 3 student

    NASA Astrophysics Data System (ADS)

    Sukji, Paweena; Wichaidit, Pacharee Rompayom; Wichaidit, Sittichai

    2018-01-01

    The objectives of this study were to: 1) compare learning achievement and analytical thinking ability of Mathayomsuksa 3 students before and after learning through inquiry-based learning activities integrated with the local learning resource, and 2) compare average post-test score of learning achievement and analytical thinking ability to its cutting score. The target of this study was 23 Mathayomsuksa 3 students who were studying in the second semester of 2016 academic year from Banchatfang School, Chainat Province. Research instruments composed of: 1) 6 lesson plans of Environment and Natural Resources, 2) the learning achievement test, and 3) analytical thinking ability test. The results showed that 1) student' learning achievement and analytical thinking ability after learning were higher than that of before at the level of .05 statistical significance, and 2) average posttest score of student' learning achievement and analytical thinking ability were higher than its cutting score at the level of .05 statistical significance. The implication of this research is for science teachers and curriculum developers to design inquiry activities that relate to student's context.

  6. Assessing Learning, Quality and Engagement in Learning Objects: The Learning Object Evaluation Scale for Students (LOES-S)

    ERIC Educational Resources Information Center

    Kay, Robin H.; Knaack, Liesel

    2009-01-01

    Learning objects are interactive web-based tools that support the learning of specific concepts by enhancing, amplifying, and/or guiding the cognitive processes of learners. Research on the impact, effectiveness, and usefulness of learning objects is limited, partially because comprehensive, theoretically based, reliable, and valid evaluation…

  7. Learned filters for object detection in multi-object visual tracking

    NASA Astrophysics Data System (ADS)

    Stamatescu, Victor; Wong, Sebastien; McDonnell, Mark D.; Kearney, David

    2016-05-01

    We investigate the application of learned convolutional filters in multi-object visual tracking. The filters were learned in both a supervised and unsupervised manner from image data using artificial neural networks. This work follows recent results in the field of machine learning that demonstrate the use learned filters for enhanced object detection and classification. Here we employ a track-before-detect approach to multi-object tracking, where tracking guides the detection process. The object detection provides a probabilistic input image calculated by selecting from features obtained using banks of generative or discriminative learned filters. We present a systematic evaluation of these convolutional filters using a real-world data set that examines their performance as generic object detectors.

  8. Large-scale weakly supervised object localization via latent category learning.

    PubMed

    Chong Wang; Kaiqi Huang; Weiqiang Ren; Junge Zhang; Maybank, Steve

    2015-04-01

    Localizing objects in cluttered backgrounds is challenging under large-scale weakly supervised conditions. Due to the cluttered image condition, objects usually have large ambiguity with backgrounds. Besides, there is also a lack of effective algorithm for large-scale weakly supervised localization in cluttered backgrounds. However, backgrounds contain useful latent information, e.g., the sky in the aeroplane class. If this latent information can be learned, object-background ambiguity can be largely reduced and background can be suppressed effectively. In this paper, we propose the latent category learning (LCL) in large-scale cluttered conditions. LCL is an unsupervised learning method which requires only image-level class labels. First, we use the latent semantic analysis with semantic object representation to learn the latent categories, which represent objects, object parts or backgrounds. Second, to determine which category contains the target object, we propose a category selection strategy by evaluating each category's discrimination. Finally, we propose the online LCL for use in large-scale conditions. Evaluation on the challenging PASCAL Visual Object Class (VOC) 2007 and the large-scale imagenet large-scale visual recognition challenge 2013 detection data sets shows that the method can improve the annotation precision by 10% over previous methods. More importantly, we achieve the detection precision which outperforms previous results by a large margin and can be competitive to the supervised deformable part model 5.0 baseline on both data sets.

  9. Action-Driven Visual Object Tracking With Deep Reinforcement Learning.

    PubMed

    Yun, Sangdoo; Choi, Jongwon; Yoo, Youngjoon; Yun, Kimin; Choi, Jin Young

    2018-06-01

    In this paper, we propose an efficient visual tracker, which directly captures a bounding box containing the target object in a video by means of sequential actions learned using deep neural networks. The proposed deep neural network to control tracking actions is pretrained using various training video sequences and fine-tuned during actual tracking for online adaptation to a change of target and background. The pretraining is done by utilizing deep reinforcement learning (RL) as well as supervised learning. The use of RL enables even partially labeled data to be successfully utilized for semisupervised learning. Through the evaluation of the object tracking benchmark data set, the proposed tracker is validated to achieve a competitive performance at three times the speed of existing deep network-based trackers. The fast version of the proposed method, which operates in real time on graphics processing unit, outperforms the state-of-the-art real-time trackers with an accuracy improvement of more than 8%.

  10. Interoperability Gap Challenges for Learning Object Repositories & Learning Management Systems

    ERIC Educational Resources Information Center

    Mason, Robert T.

    2011-01-01

    An interoperability gap exists between Learning Management Systems (LMSs) and Learning Object Repositories (LORs). Learning Objects (LOs) and the associated Learning Object Metadata (LOM) that is stored within LORs adhere to a variety of LOM standards. A common LOM standard found in LORs is the Sharable Content Object Reference Model (SCORM)…

  11. Visual object tracking by correlation filters and online learning

    NASA Astrophysics Data System (ADS)

    Zhang, Xin; Xia, Gui-Song; Lu, Qikai; Shen, Weiming; Zhang, Liangpei

    2018-06-01

    Due to the complexity of background scenarios and the variation of target appearance, it is difficult to achieve high accuracy and fast speed for object tracking. Currently, correlation filters based trackers (CFTs) show promising performance in object tracking. The CFTs estimate the target's position by correlation filters with different kinds of features. However, most of CFTs can hardly re-detect the target in the case of long-term tracking drifts. In this paper, a feature integration object tracker named correlation filters and online learning (CFOL) is proposed. CFOL estimates the target's position and its corresponding correlation score using the same discriminative correlation filter with multi-features. To reduce tracking drifts, a new sampling and updating strategy for online learning is proposed. Experiments conducted on 51 image sequences demonstrate that the proposed algorithm is superior to the state-of-the-art approaches.

  12. Understanding Learner Acceptance of Learning Objects: The Roles of Learning Object Characteristics and Individual Differences

    ERIC Educational Resources Information Center

    Lau, Siong-Hoe; Woods, Peter C.

    2009-01-01

    Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…

  13. Influence of a Metacognitive Scaffolding for Information Search in B-"Learning" Courses on Learning Achievement and Its Relationship with Cognitive and Learning Style

    ERIC Educational Resources Information Center

    Huertas, Adriana; López, Omar; Sanabria, Luis

    2017-01-01

    The research's objective is to evaluate the differential effect that a metacognitive scaffolding for information web searches has on learning achievement of high school students with different cognitive style in the field dependence and independence dimension and on learning style in the dimension proposed by Honey and Alonso known as CHAEA. One…

  14. Multiple Intelligence Approach to Curriculum Transaction in Achieving the Educational Objectives at Secondary School Level

    ERIC Educational Resources Information Center

    Francis, Reni

    2012-01-01

    The purpose of this study was to foster learning through the Multiple Intelligence Approach in achieving educational objectives across the levels of Revised Bloom's Taxonomy. Multiple intelligences approach facilitates ways for students by ensuring that curriculum and instruction validate the strengths and build on the assets that students possess…

  15. Teacher Trainees as Learning Object Designers: Problems and Issues in Learning Object Development Process

    ERIC Educational Resources Information Center

    Guler, Cetin; Altun, Arif

    2010-01-01

    Learning objects (LOs) can be defined as resources that are reusable, digital with the aim of fulfilling learning objectives (or expectations). Educators, both at the individual and institutional levels, are cautioned about the fact that LOs are to be processed through a proper development process. Who should be involved in the LO development…

  16. Professional Learning Communities Impact on Student Achievement

    ERIC Educational Resources Information Center

    Hamilton, Jan L.

    2013-01-01

    This study examined the impact of the Professional Learning Community model on student achievement in the state of California. Specifically, the study compared student achievement between two school types: Professional Learning Community schools and Non Professional Learning schools. The research utilized existing API scores for California schools…

  17. Learning to Appraise the Quality of Qualitative Research Articles: A Contextualized Learning Object for Constructing Knowledge

    ERIC Educational Resources Information Center

    Chenail, Ronald J.

    2011-01-01

    Helping beginning qualitative researchers critically appraise qualitative research articles is a common learning objective for introductory methodology courses. To aid students in achieving competency in appraising the quality of qualitative research articles, a multi-part activity incorporating the Critical Appraisal Skills Programme's (CASP)…

  18. Relationship between the learning style preferences of medical students and academic achievement

    PubMed Central

    Almigbal, Turky H.

    2015-01-01

    Objectives: To investigate the relationship between the learning style preferences of Saudi medical students and their academic achievements. Methods: A cross-sectional study was conducted among 600 medical students at King Saud University in Riyadh, Kingdom of Saudi Arabia from October 2012 to July 2013. The Visual, Aural, Read/Write, and Kinesthetic questionnaire (VARK) questionnaire was used to categorize learning style preferences. Descriptive and analytical statistics were used to identify the learning style preferences of medical students and their relationship to academic achievement, gender, marital status, residency, different teaching curricula, and study resources (for example, teachers’ PowerPoint slides, textbooks, and journals). Results: The results indicated that 261 students (43%) preferred to learn using all VARK modalities. There was a significant difference in learning style preferences between genders (p=0.028). The relationship between learning style preferences and students in different teaching curricula was also statistically significant (p=0.047). However, learning style preferences are not related to a student’s academic achievements, marital status, residency, or study resources (for example, teachers’ PowerPoint slides, textbooks, and journals). Also, after being adjusted to other studies’ variables, the learning style preferences were not related to GPA. Conclusion: Our findings can be used to improve the quality of teaching in Saudi Arabia; students would be advantaged if teachers understood the factors that can be related to students’ learning styles. PMID:25737179

  19. Mere exposure alters category learning of novel objects.

    PubMed

    Folstein, Jonathan R; Gauthier, Isabel; Palmeri, Thomas J

    2010-01-01

    We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of how statistical learning can influence visual object learning.

  20. Mere Exposure Alters Category Learning of Novel Objects

    PubMed Central

    Folstein, Jonathan R.; Gauthier, Isabel; Palmeri, Thomas J.

    2010-01-01

    We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of how statistical learning can influence visual object learning. PMID:21833209

  1. Learning Objects and Virtual Learning Environments Technical Evaluation Criteria

    ERIC Educational Resources Information Center

    Kurilovas, Eugenijus; Dagiene, Valentina

    2009-01-01

    The main scientific problems investigated in this article deal with technical evaluation of quality attributes of the main components of e-Learning systems (referred here as DLEs--Digital Libraries of Educational Resources and Services), i.e., Learning Objects (LOs) and Virtual Learning Environments (VLEs). The main research object of the work is…

  2. Will Flexible Learning Raise Student Achievement?

    ERIC Educational Resources Information Center

    Guest, Ross

    2005-01-01

    This paper presents both theoretical and survey evidence on the effect of flexible learning--in particular, the shift to a more student-centred approach to learning--on academic achievement by students. A survey was conducted of 577 business students at a major Australian university in order to elicit their preferences for academic achievement and…

  3. Implementing Infrastructures for Managing Learning Objects

    ERIC Educational Resources Information Center

    Klemke, Roland; Ternier, Stefaan; Kalz, Marco; Specht, Marcus

    2010-01-01

    Making learning objects available is critical to reuse learning resources. Making content transparently available and providing added value to different stakeholders is among the goals of the European Commission's eContentplus programme. This paper analyses standards and protocols relevant for making learning objects accessible in distributed data…

  4. Learning Objects--Instructional Metadata and Sequencing.

    ERIC Educational Resources Information Center

    Redeker, Giselher

    The main focus of current discussions within the standardization process of learning technology is on economical opportunities and technical aspects of learning objects. There has been little discussion about the instructional or didactical issues. The purpose of this paper is to conceptualize a taxonomy of learning objects for the facilitation of…

  5. Learning Object Retrieval and Aggregation Based on Learning Styles

    ERIC Educational Resources Information Center

    Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel

    2017-01-01

    The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…

  6. Perceptual Learning of Object Shape

    PubMed Central

    Golcu, Doruk; Gilbert, Charles D.

    2009-01-01

    Recognition of objects is accomplished through the use of cues that depend on internal representations of familiar shapes. We used a paradigm of perceptual learning during visual search to explore what features human observers use to identify objects. Human subjects were trained to search for a target object embedded in an array of distractors, until their performance improved from near-chance levels to over 80% of trials in an object specific manner. We determined the role of specific object components in the recognition of the object as a whole by measuring the transfer of learning from the trained object to other objects sharing components with it. Depending on the geometric relationship of the trained object with untrained objects, transfer to untrained objects was observed. Novel objects that shared a component with the trained object were identified at much higher levels than those that did not, and this could be used as an indicator of which features of the object were important for recognition. Training on an object also transferred to the components of the object when these components were embedded in an array of distractors of similar complexity. These results suggest that objects are not represented in a holistic manner during learning, but that their individual components are encoded. Transfer between objects was not complete, and occurred for more than one component, regardless of how well they distinguish the object from distractors. This suggests that a joint involvement of multiple components was necessary for full performance. PMID:19864574

  7. The International Learning Object Metadata Survey

    ERIC Educational Resources Information Center

    Friesen, Norm

    2004-01-01

    A wide range of projects and organizations is currently making digital learning resources (learning objects) available to instructors, students, and designers via systematic, standards-based infrastructures. One standard that is central to many of these efforts and infrastructures is known as Learning Object Metadata (IEEE 1484.12.1-2002, or LOM).…

  8. How to Achieve Learning Impact.

    ERIC Educational Resources Information Center

    Peterson, Bob

    1978-01-01

    Although learning can be defined in cognitive, affective, or behavioral terms, the specification of communication, planning, or evaluation skills in behavioral terms is most appropriate in management training. Learning objectives are most effectively reached in a closed rather than open loop learning design. In designs, the learner's reactions and…

  9. Relationship between the Learning Styles Preferences and Academic Achievement

    NASA Astrophysics Data System (ADS)

    Awang, H.; Samad, N. Abd; Faiz, N. S. Mohd; Roddin, R.; Kankia, J. D.

    2017-08-01

    The individual learning differences that have been much explored relate to differences in personality, learning styles, strategies and conceptual of learning. This article studies the learning style profile exhibited by students towards the academic achievement in Malaysian Polytechnic. The relationship between learning styles of Polytechnic students and their academic achievement based on VARK learning styles model. The target population was international business students of Malaysian Polytechnic. By means of randomly sampling method, 103 students were selected as sample of research. By descriptive - survey research method and a questionnaire adapted from VARK Learning Style Index, required data were collected. According to the results, no significantly difference between learning style and academic achievement of students. Students academic achievement was quite similar to their individual learning styles. These facts reveal that each learning style has its own strengths and weaknesses.

  10. Predictable Locations Aid Early Object Name Learning

    PubMed Central

    Benitez, Viridiana L.; Smith, Linda B.

    2012-01-01

    Expectancy-based localized attention has been shown to promote the formation and retrieval of multisensory memories in adults. Three experiments show that these processes also characterize attention and learning in 16- to 18- month old infants and, moreover, that these processes may play a critical role in supporting early object name learning. The three experiments show that infants learn names for objects when those objects have predictable rather than varied locations, that infants who anticipate the location of named objects better learn those object names, and that infants integrate experiences that are separated in time but share a common location. Taken together, these results suggest that localized attention, cued attention, and spatial indexing are an inter-related set of processes in young children that aid in the early building of coherent object representations. The relevance of the experimental results and spatial attention for everyday word learning are discussed. PMID:22989872

  11. Use of SMART Learning Objectives to Introduce Continuing Professional Development Into the Pharmacy Curriculum

    PubMed Central

    Khandoobhai, Anand; Leadon, Kim

    2012-01-01

    Objective. To determine whether a 2-year continuing professional development (CPD) training program improved first-year (P1) and second-year (P2) pharmacy students’ ability to write SMART (specific, measurable, achievable, relevant, and timed) learning objectives. Design. First-year students completed live or online CPD training, including creating portfolios and writing SMART objectives prior to their summer introductory pharmacy practice experience (IPPE). In year 2, P1 and P2 students were included. SMART learning objectives were graded and analyzed. Assessment. On several objectives, the 2011 P1 students (n = 130) scored higher than did the P2 cohort (n = 105). In 2011, P2 students outscored their own performance in 2010. In 2011, P1 students who had been trained in online modules performed the same as did live-session trainees with respect to SMART objectives. Conclusion. With focused online or live training, students are capable of incorporating principles of CPD by writing SMART learning objectives. PMID:22611277

  12. Learning to distinguish similar objects

    NASA Astrophysics Data System (ADS)

    Seibert, Michael; Waxman, Allen M.; Gove, Alan N.

    1995-04-01

    This paper describes how the similarities and differences among similar objects can be discovered during learning to facilitate recognition. The application domain is single views of flying model aircraft captured in silhouette by a CCD camera. The approach was motivated by human psychovisual and monkey neurophysiological data. The implementation uses neural net processing mechanisms to build a hierarchy that relates similar objects to superordinate classes, while simultaneously discovering the salient differences between objects within a class. Learning and recognition experiments both with and without the class similarity and difference learning show the effectiveness of the approach on this visual data. To test the approach, the hierarchical approach was compared to a non-hierarchical approach, and was found to improve the average percentage of correctly classified views from 77% to 84%.

  13. Evoked prior learning experience and approach to learning as predictors of academic achievement.

    PubMed

    Trigwell, Keith; Ashwin, Paul; Millan, Elena S

    2013-09-01

    In separate studies and research from different perspectives, five factors are found to be among those related to higher quality outcomes of student learning (academic achievement). Those factors are higher self-efficacy, deeper approaches to learning, higher quality teaching, students' perceptions that their workload is appropriate, and greater learning motivation. University learning improvement strategies have been built on these research results. To investigate how students' evoked prior experience, perceptions of their learning environment, and their approaches to learning collectively contribute to academic achievement. This is the first study to investigate motivation and self-efficacy in the same educational context as conceptions of learning, approaches to learning and perceptions of the learning environment. Undergraduate students (773) from the full range of disciplines were part of a group of over 2,300 students who volunteered to complete a survey of their learning experience. On completing their degrees 6 and 18 months later, their academic achievement was matched with their learning experience survey data. A 77-item questionnaire was used to gather students' self-report of their evoked prior experience (self-efficacy, learning motivation, and conceptions of learning), perceptions of learning context (teaching quality and appropriate workload), and approaches to learning (deep and surface). Academic achievement was measured using the English honours degree classification system. Analyses were conducted using correlational and multi-variable (structural equation modelling) methods. The results from the correlation methods confirmed those found in numerous earlier studies. The results from the multi-variable analyses indicated that surface approach to learning was the strongest predictor of academic achievement, with self-efficacy and motivation also found to be directly related. In contrast to the correlation results, a deep approach to learning was

  14. Liberating Learning Object Design from the Learning Style of Student Instructional Designers

    ERIC Educational Resources Information Center

    Akpinar, Yavuz

    2007-01-01

    Learning objects are a new form of learning resource, and the design of these digital environments has many facets. To investigate senior instructional design students' use of reflection tools in designing learning objects, a series of studies was conducted using the Reflective Action Instructional Design and Learning Object Review Instrument…

  15. Bloom's taxonomy of cognitive learning objectives.

    PubMed

    Adams, Nancy E

    2015-07-01

    Information professionals who train or instruct others can use Bloom's taxonomy to write learning objectives that describe the skills and abilities that they desire their learners to master and demonstrate. Bloom's taxonomy differentiates between cognitive skill levels and calls attention to learning objectives that require higher levels of cognitive skills and, therefore, lead to deeper learning and transfer of knowledge and skills to a greater variety of tasks and contexts.

  16. Dental Students’ Educational Achievement in Relation to Their Learning Styles: A Cross-sectional Study in Iran

    PubMed Central

    Hosseini, Seyed Masoud; Amery, Hamideh; Emadzadeh, Ali; Babazadeh, Saber

    2015-01-01

    Background and Objectives: In recent decades, many studies have been carried out on the importance of Kolb experiential learning theory (ELT) in teaching-learning processes and its effect on learning outcomes. However, some experts have criticized the Kolb theory and argue that there are some ambiguities on the validity of the theory as an important predictor of achievement. This study has been carried out on dental students’ educational achievement in relation to their dominant learning styles based on Kolb theory in Mashhad University of Medical Sciences (Iran). Methods: In a cross sectional study, Kolb Learning Style Inventory (LSI Ver. 3.1) as well as a questionnaire containing students’ demographic data, academic achievement marks including grade point average (GPA), theoretical and practical courses marks, and the comprehensive basic sciences exam (CBSE) scores were administered on a purposive sample of 162 dental students who had passed their comprehensive basic sciences exam. Educational achievement data were analyzed in relation to students’ dominant learning styles, using descriptive and analytical statistics including χ2, Kruskal-Wallis and two-way ANOVA tests. Results: The dominant learning styles of students were Assimilating (53.1%), Converging (24.1%), Diverging (14.2%) and Accommodating (8.6%). Although, the students with Assimilating and Converging learning styles had a better performance on their educational achievement, there was no significant relationship between educational achievement and dominant learning style (P≥0.05). Conclusion: Findings support that the dominant learning style is not exclusively an essential factor to predict educational achievement. Rather, it shows learning preferences of students that may be considered in designing learning opportunities by the teachers. PMID:26156915

  17. Development of learning objectives for neurology in a veterinary curriculum: part I: undergraduates.

    PubMed

    Lin, Yu-Wei; Volk, Holger A; Penderis, Jacques; Tipold, Andrea; Ehlers, Jan P

    2015-01-13

    With an increasing caseload of veterinary neurology patients in first opinion practice, there is a requirement to establish relevant learning objectives for veterinary neurology encompassing knowledge, skills and attitudes for veterinary undergraduate students in Europe. With help of experts in veterinary neurology from the European College of Veterinary Neurology (ECVN) and the European Society of Veterinary Neurology (ESVN) a survey of veterinary neurologic learning objectives using a modified Delphi method was conducted. The first phase comprised the development of a draft job description and learning objectives by a working group established by the ECVN. In the second phase, a quantitative questionnaire (multiple choice, Likert scale and free text) covering 140 learning objectives and subdivided into 8 categories was sent to 341 ESVN and ECVN members and a return rate of 62% (n = 213/341) was achieved. Of these 140 learning objectives ECVN Diplomates and ESVN members considered 42 (30%) objectives as not necessary for standard clinical veterinary neurology training, 94 (67%) were graded to be learned at a beginner level and 4 (3%) at an advanced level. The following objectives were interpreted as the most important day one skills: interpret laboratory tests, perform a neurological examination and establish a neuroanatomical localization. In this survey the three most important diseases of the central nervous system included epilepsy, intervertebral disc disease and inflammatory diseases. The three most important diseases of the peripheral nervous system included polyradiculoneuritis, myasthenia gravis and toxic neuropathies. The results of this study should help to reform the veterinary curriculum regarding neurology and may reduce the phenomenon of "Neurophobia".

  18. How learning might strengthen existing visual object representations in human object-selective cortex.

    PubMed

    Brants, Marijke; Bulthé, Jessica; Daniels, Nicky; Wagemans, Johan; Op de Beeck, Hans P

    2016-02-15

    Visual object perception is an important function in primates which can be fine-tuned by experience, even in adults. Which factors determine the regions and the neurons that are modified by learning is still unclear. Recently, it was proposed that the exact cortical focus and distribution of learning effects might depend upon the pre-learning mapping of relevant functional properties and how this mapping determines the informativeness of neural units for the stimuli and the task to be learned. From this hypothesis we would expect that visual experience would strengthen the pre-learning distributed functional map of the relevant distinctive object properties. Here we present a first test of this prediction in twelve human subjects who were trained in object categorization and differentiation, preceded and followed by a functional magnetic resonance imaging session. Specifically, training increased the distributed multi-voxel pattern information for trained object distinctions in object-selective cortex, resulting in a generalization from pre-training multi-voxel activity patterns to after-training activity patterns. Simulations show that the increased selectivity combined with the inter-session generalization is consistent with a training-induced strengthening of a pre-existing selectivity map. No training-related neural changes were detected in other regions. In sum, training to categorize or individuate objects strengthened pre-existing representations in human object-selective cortex, providing a first indication that the neuroanatomical distribution of learning effects depends upon the pre-learning mapping of visual object properties. Copyright © 2015 Elsevier Inc. All rights reserved.

  19. Self-Regulated Learning and a Sense of Achievement in MOOCs among High School Science and Technology Students

    ERIC Educational Resources Information Center

    Cohen, Lizi; Magen-Nagar, Noga

    2016-01-01

    This study, conducted in Israel, examined how learning strategies and motivational orientations contributed to high school students' sense of achievement in a massive open online course. The objective was to integrate an innovative teaching-learning strategy into the educational system that is based on online learning for students in subjects that…

  20. Authoring of Learning Objects in Context

    ERIC Educational Resources Information Center

    Specht, Marcus; Kravcik, Milos

    2006-01-01

    Learning objects and content interchange standards provide new possibilities for e-learning. Nevertheless the content often lacks context data to find appropriate use for adaptive learning on demand and personalized learning experiences. In the Remotely Accessible Field Trips (RAFT) project mobile authoring of learning content in context has shown…

  1. Learning Objects and the E-Learning Cost Dilemma

    ERIC Educational Resources Information Center

    Weller, Martin

    2004-01-01

    The creation of quality e-learning material creates a cost dilemma for many institutions, since it has both high variable and high fixed costs. This cost dilemma means that economies of scale are difficult to achieve, which may result in a consequent reduction in the quality of the learning material. Based on the experience of creating a masters…

  2. Hybrid Multiagent System for Automatic Object Learning Classification

    NASA Astrophysics Data System (ADS)

    Gil, Ana; de La Prieta, Fernando; López, Vivian F.

    The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories. This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives.

  3. Convergence analysis of sliding mode trajectories in multi-objective neural networks learning.

    PubMed

    Costa, Marcelo Azevedo; Braga, Antonio Padua; de Menezes, Benjamin Rodrigues

    2012-09-01

    The Pareto-optimality concept is used in this paper in order to represent a constrained set of solutions that are able to trade-off the two main objective functions involved in neural networks supervised learning: data-set error and network complexity. The neural network is described as a dynamic system having error and complexity as its state variables and learning is presented as a process of controlling a learning trajectory in the resulting state space. In order to control the trajectories, sliding mode dynamics is imposed to the network. It is shown that arbitrary learning trajectories can be achieved by maintaining the sliding mode gains within their convergence intervals. Formal proofs of convergence conditions are therefore presented. The concept of trajectory learning presented in this paper goes further beyond the selection of a final state in the Pareto set, since it can be reached through different trajectories and states in the trajectory can be assessed individually against an additional objective function. Copyright © 2012 Elsevier Ltd. All rights reserved.

  4. An Investigation on the Correlation of Learner Styles and Learning Objects Characteristics in a Proposed Learning Objects Management Model (LOMM)

    ERIC Educational Resources Information Center

    Wanapu, Supachanun; Fung, Chun Che; Kerdprasop, Nittaya; Chamnongsri, Nisachol; Niwattanakul, Suphakit

    2016-01-01

    The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system.…

  5. Learning anatomy via mobile augmented reality: Effects on achievement and cognitive load.

    PubMed

    Küçük, Sevda; Kapakin, Samet; Göktaş, Yüksel

    2016-10-01

    Augmented reality (AR), a new generation of technology, has attracted the attention of educators in recent years. In this study, a MagicBook was developed for a neuroanatomy topic by using mobile augmented reality (mAR) technology. This technology integrates virtual learning objects into the real world and allow users to interact with the environment using mobile devices. The purpose of this study was to determine the effects of learning anatomy via mAR on medical students' academic achievement and cognitive load. The mixed method was applied in the study. The random sample consisted of 70 second-year undergraduate medical students: 34 in an experimental group and 36 in a control group. Academic achievement test and cognitive load scale were used as data collection tool. A one-way MANOVA test was used for analysis. The experimental group, which used mAR applications, reported higher achievement and lower cognitive load. The use of mAR applications in anatomy education contributed to the formation of an effective and productive learning environment. Student cognitive load decreased as abstract information became concrete in printed books via multimedia materials in mAR applications. Additionally, students were able to access the materials in the MagicBook anytime and anywhere they wanted. The mobile learning approach helped students learn better by exerting less cognitive effort. Moreover, the sensory experience and real time interaction with environment may provide learning satisfaction and enable students to structure their knowledge to complete the learning tasks. Anat Sci Educ 9: 411-421. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

  6. Achievement Motivation: From the Perspective of Learned Hopelessness.

    ERIC Educational Resources Information Center

    Au, Chung-park

    1995-01-01

    Introduces the concept of learned hopelessness, with special attention on its development from the helplessness theory of depression, and its application to studies of achievement motivation. Highlights conceptual and assessment issues that arise in researching learned hopelessness and achievement motivation. (DSK)

  7. Design, Development, and Validation of Learning Objects

    ERIC Educational Resources Information Center

    Nugent, Gwen; Soh, Leen-Kiat; Samal, Ashok

    2006-01-01

    A learning object is a small, stand-alone, mediated content resource that can be reused in multiple instructional contexts. In this article, we describe our approach to design, develop, and validate Shareable Content Object Reference Model (SCORM) compliant learning objects for undergraduate computer science education. We discuss the advantages of…

  8. A Case Study: Developing Learning Objects with an Explicit Learning Design

    ERIC Educational Resources Information Center

    Watson, Julie

    2010-01-01

    In learning object design an emphasis on visual attractiveness and high technological impact has seemed to persist while content frequently reflects a lack of clear pedagogical basis for the application of learning objects for online learning. Most apparent is the absence of supportive scaffolding for the student user; interactivity built on an…

  9. Dynamic Learning Objects to Teach Java Programming Language

    ERIC Educational Resources Information Center

    Narasimhamurthy, Uma; Al Shawkani, Khuloud

    2010-01-01

    This article describes a model for teaching Java Programming Language through Dynamic Learning Objects. The design of the learning objects was based on effective learning design principles to help students learn the complex topic of Java Programming. Visualization was also used to facilitate the learning of the concepts. (Contains 1 figure and 2…

  10. A Mobile Gamification Learning System for Improving the Learning Motivation and Achievements

    ERIC Educational Resources Information Center

    Su, C-H.; Cheng, C-H.

    2015-01-01

    This paper aims to investigate how a gamified learning approach influences science learning, achievement and motivation, through a context-aware mobile learning environment, and explains the effects on motivation and student learning. A series of gamified learning activities, based on MGLS (Mobile Gamification Learning System), was developed and…

  11. Influence of Strategy of Learning and Achievement Motivation of Learning Achievement Class VIII Students of State Junior High School in District Blitar

    ERIC Educational Resources Information Center

    Ayundawati, Dyah; Setyosari, Punaji; Susilo, Herawati; Sihkabuden

    2016-01-01

    This study aims for know influence of problem-based learning strategies and achievement motivation on learning achievement. The method used in this research is quantitative method. The instrument used in this study is two fold instruments to measure moderator variable (achievement motivation) and instruments to measure the dependent variable (the…

  12. Assessing the Effectiveness of STAD Model and Problem Based Learning in Mathematics Learning Achievement and Problem Solving Ability

    ERIC Educational Resources Information Center

    Rattanatumma, Tawachai; Puncreobutr, Vichian

    2016-01-01

    The objective of this study was to compare the effectiveness of teaching methods in improving Mathematics Learning Achievement and Problem solving ability of students at an international college. This is a Quasi-Experimental Research which was done the study with the first year students who have registered to study Mathematics subject at St.…

  13. Physical Development and Health, Grades 3, 6, 8, 10, 12. State Goals for Learning and Sample Learning Objectives.

    ERIC Educational Resources Information Center

    Illinois State Board of Education, Springfield.

    This document sets forth the state goals for learning in the area of physical development and health for elementary and secondary students in Illinois. The final objective of this schooling is to provide students with the knowledge and attitudes to achieve healthful living throughout their lives and to acquire physical fitness, coordination, and…

  14. The Effects of Brain Based Learning Approach on Motivation and Students Achievement in Mathematics Learning

    NASA Astrophysics Data System (ADS)

    Mekarina, M.; Ningsih, Y. P.

    2017-09-01

    This classroom action research is based by the facts that the students motivation and achievement mathematics learning is less. One of the factors causing is learning that does not provide flexibility to students to empower the potential of the brain optimally. The aim of this research was to improve the student motivation and achievement in mathematics learning by implementing brain based learning approach. The subject of this research was student of grade XI in senior high school. The research consisted of two cycles. Data of student achievement from test, and the student motivation through questionnaire. Furthermore, the finding of this research showed the result of the analysis was the implementation of brain based learning approach can improve student’s achievement and motivation in mathematics learning.

  15. Student Involvement in Learning and School Achievement.

    ERIC Educational Resources Information Center

    Anderson, Lorin W.

    The purpose of the study was to investigate the relationship between selected student characteristics, student involvement in learning, and achievement. Both naturalistic (n = 28, 27) and experimental studies were conducted. In the experimental study, two classes (n = 29, 26) learned a sequence of matrix arithmetic by mastery learning strategies.…

  16. Mobile Learning and Achievement Goal Orientation Profiles

    ERIC Educational Resources Information Center

    Asplund, Minna

    2014-01-01

    Students with different achievement goal orientations have different approaches towards learning and studying. There is a widespread interest to find an easy access into learning spaces for those students who have low motivation with fear of failure and academic withdrawal. Mobile learning offers an easily accessible chance with low threshold to…

  17. Personality Traits, Learning and Academic Achievements

    ERIC Educational Resources Information Center

    Jensen, Mikael

    2015-01-01

    There has been an increased interest in personality traits (especially the five-factor model) in relation to education and learning over the last decade. Previous studies have shown a relation between personality traits and learning, and between personality traits and academic achievement. The latter is typically described in terms of Grade Point…

  18. Self-regulated learning strategies used in surgical clerkship and the relationship with clinical achievement.

    PubMed

    Turan, Sevgi; Konan, Ali

    2012-01-01

    Self-regulated learning indicates students' skills in controlling their own learning. Self-regulated learning, which a context-specific process, emphasizes autonomy and control. Students gain more autonomy with respect to learning in the clinical years. Examining the self-regulated learning skills of students in this period will provide important clues about the level at which students are ready to use these skills in real-life conditions. The self-regulated learning strategies used by medical students in surgical clerkship were investigated in this study and their relation with clinical achievement was analyzed. The study was conducted during the surgery clerkship of medical students. The participation rate was 94% (309 students). Motivated Strategies for Learning Questionnaire (MSLQ), a case-based examination, Objective Structured Clinical Examination (OSCE), and tutor evaluations for assessing achievement were used. The relationship between the Motivated Strategies for Learning Questionnaire scores of the students and clinical achievement was analyzed with multilinear regression analysis. The findings showed that students use self-regulated learning skills at medium levels during their surgery clerkship. A relationship between these skills and OSCE scores and tutor evaluations was determined. OSCE scores of the students were observed to increase in conjunction with increased self-efficacy levels. However, as students' beliefs regarding control over learning increased, OSCE scores decreased. No significant relationship was defined between self-regulated learning skills and case-based examination scores. We observed that a greater self-efficacy for learning resulted in higher OSCE scores. Conversely, students who believe that learning is a result of their own effort had lower OSCE scores. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  19. Student generated learning objectives: extent of congruence with faculty set objectives and factors influencing their generation.

    PubMed

    Abdul Ghaffar Al-Shaibani, Tarik A; Sachs-Robertson, Annette; Al Shazali, Hafiz O; Sequeira, Reginald P; Hamdy, Hosam; Al-Roomi, Khaldoon

    2003-07-01

    A problem-based learning strategy is used for curriculum planning and implementation at the Arabian Gulf University, Bahrain. Problems are constructed in a way that faculty-set objectives are expected to be identified by students during tutorials. Students in small groups, along with a tutor functioning as a facilitator, identify learning issues and define their learning objectives. We compared objectives identified by student groups with faculty-set objectives to determine extent of congruence, and identified factors that influenced students' ability at identifying faculty-set objectives. Male and female students were segregated and randomly grouped. A faculty tutor was allocated for each group. This study was based on 13 problems given to entry-level medical students. Pooled objectives of these problems were classified into four categories: structural, functional, clinical and psychosocial. Univariate analysis of variance was used for comparison, and a p > 0.05 was considered significant. The mean of overall objectives generated by the students was 54.2%, for each problem. Students identified psychosocial learning objectives more readily than structural ones. Female students identified more psychosocial objectives, whereas male students identified more of structural objectives. Tutor characteristics such as medical/non-medical background, and the years of teaching were correlated with categories of learning issues identified. Students identify part of the faculty-set learning objectives during tutorials with a faculty tutor acting as a facilitator. Students' gender influences types of learning issues identified. Content expertise of tutors does not influence identification of learning needs by students.

  20. Consequences, Characteristics, and Causes of Mathematical Learning Disabilities and Persistent Low Achievement in Mathematics

    PubMed Central

    Geary, David C.

    2011-01-01

    Objective The goals of the review are threefold; a) to highlight the educational and employment consequences of poorly developed mathematical competencies; b) overview the characteristics of the children with persistently low achievement in mathematics; and c) provide a primer on cognitive science research that is aimed at identifying the cognitive mechanisms underlying these learning disabilities and associated cognitive interventions. Method Literatures on the educational and economic consequences of poor mathematics achievement were reviewed and integrated with reviews of epidemiological, behavioral genetic, and cognitive science studies of poor mathematics achievement. Results Poor mathematical competencies are common among adults and result in employment difficulties and difficulties in many common day-to-day activities. Among students, about 7% of children and adolescents have a mathematical learning disability (MLD) and another 10% show persistent low achievement (LA) in mathematics despite average abilities in most other areas. Children with MLD and their LA peers have deficits in understanding and representing numerical magnitude, difficulties retrieving basic arithmetic facts from long-term memory, and delays in learning mathematical procedures. These deficits and delays cannot be attributed to intelligence, but are related to working memory deficits for children with MLD, but not LA children. Interventions that target these cognitive deficits are in development and preliminary results are promising. Conclusion Mathematical learning disabilities and learning difficulties associated with persistent low achievement in mathematics are common and not attributable to intelligence. These individuals have identifiable number and memory delays and deficits that appear to be specific to mathematics learning. The most promising interventions are those that target these specific deficits and, in addition, for children with MLD interventions that target their low

  1. Remembering Math: The Design of Digital Learning Objects to Spark Professional Learning

    ERIC Educational Resources Information Center

    Halverson, Richard; Wolfenstein, Moses; Williams, Caroline C.; Rockman, Charles

    2009-01-01

    This article describes how the design of digital learning objects can spark professional learning. The challenge was to build learning objects that would help experienced special education teachers, who had been teaching in math classes, to demonstrate their proficiency in middle and secondary school mathematics on the PRAXIS examination. While…

  2. Relating Preferred Learning Style to Student Achievement.

    ERIC Educational Resources Information Center

    Thomas, Heather; Cox, Robin; Kojima, Takahiro

    The paper examines the learning style preferences of 44 second-year Japanese college students pursuing an undergraduate degree and learning English as a Second Language at a New Zealand college. The goal is to learn more about between style and achievement, and how to cater to such students as multi-dimensional individuals and as members of a…

  3. An explanatory model of academic achievement based on aptitudes, goal orientations, self-concept and learning strategies.

    PubMed

    Miñano Pérez, Pablo; Castejón Costa, Juan-Luis; Gilar Corbí, Raquel

    2012-03-01

    As a result of studies examining factors involved in the learning process, various structural models have been developed to explain the direct and indirect effects that occur between the variables in these models. The objective was to evaluate a structural model of cognitive and motivational variables predicting academic achievement, including general intelligence, academic self-concept, goal orientations, effort and learning strategies. The sample comprised of 341 Spanish students in the first year of compulsory secondary education. Different tests and questionnaires were used to evaluate each variable, and Structural Equation Modelling (SEM) was applied to contrast the relationships of the initial model. The model proposed had a satisfactory fit, and all the hypothesised relationships were significant. General intelligence was the variable most able to explain academic achievement. Also important was the direct influence of academic self-concept on achievement, goal orientations and effort, as well as the mediating ability of effort and learning strategies between academic goals and final achievement.

  4. Learning while Babbling: Prelinguistic Object-Directed Vocalizations Indicate a Readiness to Learn

    ERIC Educational Resources Information Center

    Goldstein, Michael H.; Schwade, Jennifer; Briesch, Jacquelyn; Syal, Supriya

    2010-01-01

    Two studies illustrate the functional significance of a new category of prelinguistic vocalizing--object-directed vocalizations (ODVs)--and show that these sounds are connected to learning about words and objects. Experiment 1 tested 12-month-old infants' perceptual learning of objects that elicited ODVs. Fourteen infants' vocalizations were…

  5. A Framework for the Flexible Content Packaging of Learning Objects and Learning Designs

    ERIC Educational Resources Information Center

    Lukasiak, Jason; Agostinho, Shirley; Burnett, Ian; Drury, Gerrard; Goodes, Jason; Bennett, Sue; Lockyer, Lori; Harper, Barry

    2004-01-01

    This paper presents a platform-independent method for packaging learning objects and learning designs. The method, entitled a Smart Learning Design Framework, is based on the MPEG-21 standard, and uses IEEE Learning Object Metadata (LOM) to provide bibliographic, technical, and pedagogical descriptors for the retrieval and description of learning…

  6. Learning styles and academic achievement among undergraduate medical students in Thailand.

    PubMed

    Jiraporncharoen, Wichuda; Angkurawaranon, Chaisiri; Chockjamsai, Manoch; Deesomchok, Athavudh; Euathrongchit, Juntima

    2015-01-01

    This study aimed to explore the associations between learning styles and high academic achievement and to ascertain whether the factors associated with high academic achievement differed between preclinical and clinical students. A survey was conducted among undergraduate medical students in Chiang Mai University, Thailand. The Index of Learning Styles questionnaire was used to assess each student's learning style across four domains. High academic achievement was defined as a grade point average of at least 3.0. Of the 1,248 eligible medical students, 1,014 (81.3%) participated. Learning styles differed between the preclinical and clinical students in the active/reflective domain. A sequential learning style was associated with high academic achievement in both preclinical and clinical students. A reflective learning style was only associated with high academic achievement among preclinical students. The association between learning styles and academic achievement may have differed between preclinical and clinical students due to different learning content and teaching methods. Students should be encouraged to be flexible in their own learning styles in order to engage successfully with various and changing teaching methods across the curriculum. Instructors should be also encouraged to provide a variety of teaching materials and resources to suit different learning styles.

  7. Learning styles and academic achievement among undergraduate medical students in Thailand

    PubMed Central

    Jiraporncharoen, Wichuda; Angkurawaranon, Chaisiri; Chockjamsai, Manoch; Deesomchok, Athavudh; Euathrongchit, Juntima

    2015-01-01

    Purpose: This study aimed to explore the associations between learning styles and high academic achievement and to ascertain whether the factors associated with high academic achievement differed between preclinical and clinical students. Methods: A survey was conducted among undergraduate medical students in Chiang Mai University, Thailand. The Index of Learning Styles questionnaire was used to assess each student’s learning style across four domains. High academic achievement was defined as a grade point average of at least 3.0. Results: Of the 1,248 eligible medical students, 1,014 (81.3%) participated. Learning styles differed between the preclinical and clinical students in the active/reflective domain. A sequential learning style was associated with high academic achievement in both preclinical and clinical students. A reflective learning style was only associated with high academic achievement among preclinical students. Conclusion: The association between learning styles and academic achievement may have differed between preclinical and clinical students due to different learning content and teaching methods. Students should be encouraged to be flexible in their own learning styles in order to engage successfully with various and changing teaching methods across the curriculum. Instructors should be also encouraged to provide a variety of teaching materials and resources to suit different learning styles. PMID:26165948

  8. Writing objectives and evaluating learning in the affective domain.

    PubMed

    Maier-Lorentz, M M

    1999-01-01

    Staff educators recognize the importance of affective competency for effective nursing practice. Inservice programs must include affective learning with objectives stated in measurable terms. Staff educators often express frustration in developing affective objectives and evaluating the learning outcome because attitudes and feelings are usually inferred from observations. This article presents affective learning objectives for a gerontological nursing inservice program and a rating scale that measures attitudes to evaluate the learning outcome.

  9. Students' Metacognition and Cognitive Style and Their Effect on Cognitive Load and Learning Achievement

    ERIC Educational Resources Information Center

    López-Vargas, Omar; Ibáñez-Ibáñez, Jaime; Racines-Prada, Oswaldo

    2017-01-01

    The present research's objective is to examine the effects of metacognitive scaffolding and cognitive style in the Field Dependence-Independence (FDI) dimension on cognitive load (CL) and learning achievement (LA) in high school students, when they interact with a hypermedia environment on philosophy (logic). Fifty-four students belonging to two…

  10. A Comparison of the Effects of an Advanced Organizer and/or Behavioral Objectives on the Achievement of Disadvantaged Biology Students.

    ERIC Educational Resources Information Center

    Kahle, Jane Butler

    The use of an advanced organizer (a generalizable, encompassing concept) prior to an individualized instructional sequence in a self-paced, audiotutorial learning format was accompanied by gains in individual unit achievement and in retention by disadvantaged biology students. Although behavioral objectives generally were shown to make no…

  11. Finding the Right Mix: Teaching Methods as Predictors for Student Progress on Learning Objectives

    ERIC Educational Resources Information Center

    Glover, Jacob I.

    2012-01-01

    This study extends existing student ratings research by exploring how teaching methods, individually and collectively, influence a minimum standard of student achievement on learning objectives and how class size impacts this influence. Twenty teaching methods were used to predict substantial or exceptional progress on each of 12 learning…

  12. The Effects of Project-Based Learning Activities on Academic Achievement and Motivation in Mathematics in Eighth-Grade Students

    ERIC Educational Resources Information Center

    Mudrich, Rachel Marie

    2017-01-01

    The purpose of this research study was to determine if project-based learning activities (PBLA) incorporated into an eighth-grade mathematics classroom have an effect on students' academic achievement and motivation toward learning. The control group used the traditional instruction method to cover mathematic objective skills that are Common Core…

  13. Patterns of Learning Object Reuse in the Connexions Repository

    ERIC Educational Resources Information Center

    Duncan, S. M.

    2009-01-01

    Since the term "learning object" was first published, there has been either an explicit or implicit expectation of reuse. There has also been a lot of speculation about why learning objects are, or are not, reused. This study quantitatively examined the actual amount and type of learning object use, to include reuse, modification, and translation,…

  14. Spatiotemporal information during unsupervised learning enhances viewpoint invariant object recognition

    PubMed Central

    Tian, Moqian; Grill-Spector, Kalanit

    2015-01-01

    Recognizing objects is difficult because it requires both linking views of an object that can be different and distinguishing objects with similar appearance. Interestingly, people can learn to recognize objects across views in an unsupervised way, without feedback, just from the natural viewing statistics. However, there is intense debate regarding what information during unsupervised learning is used to link among object views. Specifically, researchers argue whether temporal proximity, motion, or spatiotemporal continuity among object views during unsupervised learning is beneficial. Here, we untangled the role of each of these factors in unsupervised learning of novel three-dimensional (3-D) objects. We found that after unsupervised training with 24 object views spanning a 180° view space, participants showed significant improvement in their ability to recognize 3-D objects across rotation. Surprisingly, there was no advantage to unsupervised learning with spatiotemporal continuity or motion information than training with temporal proximity. However, we discovered that when participants were trained with just a third of the views spanning the same view space, unsupervised learning via spatiotemporal continuity yielded significantly better recognition performance on novel views than learning via temporal proximity. These results suggest that while it is possible to obtain view-invariant recognition just from observing many views of an object presented in temporal proximity, spatiotemporal information enhances performance by producing representations with broader view tuning than learning via temporal association. Our findings have important implications for theories of object recognition and for the development of computational algorithms that learn from examples. PMID:26024454

  15. Assessing Complex Learning Objectives through Analytics

    NASA Astrophysics Data System (ADS)

    Horodyskyj, L.; Mead, C.; Buxner, S.; Semken, S. C.; Anbar, A. D.

    2016-12-01

    A significant obstacle to improving the quality of education is the lack of easy-to-use assessments of higher-order thinking. Most existing assessments focus on recall and understanding questions, which demonstrate lower-order thinking. Traditionally, higher-order thinking is assessed with practical tests and written responses, which are time-consuming to analyze and are not easily scalable. Computer-based learning environments offer the possibility of assessing such learning outcomes based on analysis of students' actions within an adaptive learning environment. Our fully online introductory science course, Habitable Worlds, uses an intelligent tutoring system that collects and responds to a range of behavioral data, including actions within the keystone project. This central project is a summative, game-like experience in which students synthesize and apply what they have learned throughout the course to identify and characterize a habitable planet from among hundreds of stars. Student performance is graded based on completion and accuracy, but two additional properties can be utilized to gauge higher-order thinking: (1) how efficient a student is with the virtual currency within the project and (2) how many of the optional milestones a student reached. In the project, students can use the currency to check their work and "unlock" convenience features. High-achieving students spend close to the minimum amount required to reach these goals, indicating a high-level of concept mastery and efficient methodology. Average students spend more, indicating effort, but lower mastery. Low-achieving students were more likely to spend very little, which indicates low effort. Differences on these metrics were statistically significant between all three of these populations. We interpret this as evidence that high-achieving students develop and apply efficient problem-solving skills as compared to lower-achieving student who use more brute-force approaches.

  16. The effects of different learning environments on students' motivation for learning and their achievement.

    PubMed

    Baeten, Marlies; Dochy, Filip; Struyven, Katrien

    2013-09-01

    Research in higher education on the effects of student-centred versus lecture-based learning environments generally does not take into account the psychological need support provided in these learning environments. From a self-determination theory perspective, need support is important to study because it has been associated with benefits such as autonomous motivation and achievement. The purpose of the study is to investigate the effects of different learning environments on students' motivation for learning and achievement, while taking into account the perceived need support. First-year student teachers (N= 1,098) studying a child development course completed questionnaires assessing motivation and perceived need support. In addition, a prior knowledge test and case-based assessment were administered. A quasi-experimental pre-test/post-test design was set up consisting of four learning environments: (1) lectures, (2) case-based learning (CBL), (3) alternation of lectures and CBL, and (4) gradual implementation with lectures making way for CBL. Autonomous motivation and achievement were higher in the gradually implemented CBL environment, compared to the CBL environment. Concerning achievement, two additional effects were found; students in the lecture-based learning environment scored higher than students in the CBL environment, and students in the gradually implemented CBL environment scored higher than students in the alternated learning environment. Additionally, perceived need support was positively related to autonomous motivation, and negatively to controlled motivation. The study shows the importance of gradually introducing students to CBL, in terms of their autonomous motivation and achievement. Moreover, the study emphasizes the importance of perceived need support for students' motivation. © 2012 The British Psychological Society.

  17. The Impact of Professional Learning Communities on Student Achievement

    ERIC Educational Resources Information Center

    DiNardo, Lynne M.

    2010-01-01

    Professional learning communities (PLC) are one strategy aimed at facilitating teacher professional development, with a focus on increasing student achievement. This mixed methods study investigated the impact of professional learning on student achievement. A total of 6 teachers and 121 students recruited from the third and fifth grades of a…

  18. Incremental Structured Dictionary Learning for Video Sensor-Based Object Tracking

    PubMed Central

    Xue, Ming; Yang, Hua; Zheng, Shibao; Zhou, Yi; Yu, Zhenghua

    2014-01-01

    To tackle robust object tracking for video sensor-based applications, an online discriminative algorithm based on incremental discriminative structured dictionary learning (IDSDL-VT) is presented. In our framework, a discriminative dictionary combining both positive, negative and trivial patches is designed to sparsely represent the overlapped target patches. Then, a local update (LU) strategy is proposed for sparse coefficient learning. To formulate the training and classification process, a multiple linear classifier group based on a K-combined voting (KCV) function is proposed. As the dictionary evolves, the models are also trained to timely adapt the target appearance variation. Qualitative and quantitative evaluations on challenging image sequences compared with state-of-the-art algorithms demonstrate that the proposed tracking algorithm achieves a more favorable performance. We also illustrate its relay application in visual sensor networks. PMID:24549252

  19. Instructional Objectives, Learner Personality and Prediction of Academic Achievement.

    ERIC Educational Resources Information Center

    Kelley, Russell Victor, Jr.

    This study investigated three questions: the relationship between the use of stated instructional objectives and achievement in audio-tutorial (A-T) instruction, the relationship of learner personality and achievement under conditions of A-T, as well as determining the power of selected batteries of intellective and personality variables to…

  20. Using Large Data to Analyze the Effect of Learning Attitude for Cooperative Learning between the High Achievement Students and the Low Achievement Students

    ERIC Educational Resources Information Center

    Chia-Ling, Hsu; Ya-Fung, Chang

    2017-01-01

    This study is to investigate the effect of the cooperation learning between the high achievement students and the low achievement students. Nowadays, the influences of the flipped classroom are all over the world in the secondary school education. Therefore, the cooperative learning becomes hot teaching strategies again. However, the learning…

  1. The Effects of Learning Styles and Meaningful Learning on the Learning Achievement of Gamification Health Education Curriculum

    ERIC Educational Resources Information Center

    Fan, Kuo-Kuang; Xiao, Peng-wei; Su, Chung-Ho

    2015-01-01

    This study aims to discuss the correlations among learning styles, meaningful learning, and learning achievement. Directed at the rather difficult to comprehend human blood circulation unit in the biology materials for junior high school students, a Mobile Meaningful Blood Circulation Learning System, called MMBCLS gamification learning, was…

  2. Predicting Physics Achievement: Attitude towards Physics, Self-Efficacy of Learning Physics, and Mathematics Achievement

    ERIC Educational Resources Information Center

    Kapucu, Serkan

    2017-01-01

    This study aims to explore the relationships among Turkish high school students' attitude towards physics, self-efficacy of learning physics, mathematics achievement, and physics achievement. To investigate the relationships, a unique questionnaire that identifies the attitude, self-efficacy and achievements were delivered to a total of 301 high…

  3. Participative Knowledge Production of Learning Objects for E-Books.

    ERIC Educational Resources Information Center

    Dodero, Juan Manuel; Aedo, Ignacio; Diaz, Paloma

    2002-01-01

    Defines a learning object as any digital resource that can be reused to support learning and thus considers electronic books as learning objects. Highlights include knowledge management; participative knowledge production, i.e. authoring electronic books by a distributed group of authors; participative knowledge production architecture; and…

  4. Student Team Achievement Divisions (STAD) Technique through the Moodle to Enhance Learning Achievement

    ERIC Educational Resources Information Center

    Tiantong, Monchai; Teemuangsai, Sanit

    2013-01-01

    One of the benefits of using collaborative learning is enhancing learning achievement and increasing social skills, and the second benefits is as the more students work together in collaborative groups, the more they understand, retain, and feel better about themselves and their peers, moreover working together in a collaborative environment…

  5. Applying Objective Diagnostic Criteria to Students in a College Support Program for Learning Disabilities

    ERIC Educational Resources Information Center

    Sparks, Richard L.; Lovett, Benjamin J.

    2013-01-01

    This study examined whether a large group of postsecondary students participating in a support program for students classified as having learning disabilities (LD) met criteria for five objective diagnostic models for LD: IQ-achievement discrepancy (1.0 SD, 1.5 SD, and greater than 2.0 SD) models, a "Diagnostic and Statistical Manual of…

  6. Learning Objects, Repositories, Sharing and Reusability

    ERIC Educational Resources Information Center

    Koppi, Tony; Bogle, Lisa; Bogle, Mike

    2005-01-01

    The online Learning Resource Catalogue (LRC) Project has been part of an international consortium for several years and currently includes 25 institutions worldwide. The LRC Project has evolved for several pragmatic reasons into an academic network whereby members can identify and share reusable learning objects as well as collaborate in a number…

  7. Quantifying the Reuse of Learning Objects

    ERIC Educational Resources Information Center

    Elliott, Kristine; Sweeney, Kevin

    2008-01-01

    This paper reports the findings of one case study from a larger project, which aims to quantify the claimed efficiencies of reusing learning objects to develop e-learning resources. The case study describes how an online inquiry project "Diabetes: A waste of energy" was developed by searching for, evaluating, modifying and then…

  8. Aberrant Learning Achievement Detection Based on Person-Fit Statistics in Personalized e-Learning Systems

    ERIC Educational Resources Information Center

    Liu, Ming-Tsung; Yu, Pao-Ta

    2011-01-01

    A personalized e-learning service provides learning content to fit learners' individual differences. Learning achievements are influenced by cognitive as well as non-cognitive factors such as mood, motivation, interest, and personal styles. This paper proposes the Learning Caution Indexes (LCI) to detect aberrant learning patterns. The philosophy…

  9. Raising Retention and Achievement in Work-Based Learning

    ERIC Educational Resources Information Center

    Smith, Vikki

    2003-01-01

    Work based learning has been subject to some negative press in recent times. Particular emphasis has been given to poor inspection reports within the sector. The Raising Quality and Achievement programme of the Learning and Skills Development Agency, funded by the Learning and Skills Council as part of a grant for a programme of research and…

  10. 3D Game-Based Learning System for Improving Learning Achievement in Software Engineering Curriculum

    ERIC Educational Resources Information Center

    Su,Chung-Ho; Cheng, Ching-Hsue

    2013-01-01

    The advancement of game-based learning has encouraged many related studies, such that students could better learn curriculum by 3-dimension virtual reality. To enhance software engineering learning, this paper develops a 3D game-based learning system to assist teaching and assess the students' motivation, satisfaction and learning achievement. A…

  11. Learning Objects for Educational Applications via PDA Technology

    ERIC Educational Resources Information Center

    Churchill, Daniel

    2008-01-01

    This article discusses an ongoing study into issues relevant to the design of learning objects for educational applications via portable digital assistant (PDA) technology. The specific areas of inquiry in this study are: the kinds of learning objects that are effective for PDA delivery; contexts for their effective educational applications; and…

  12. Self-regulated learning and science achievement in a community college

    NASA Astrophysics Data System (ADS)

    Maslin, (Louisa) Lin-Yi L.

    Self-regulated learning involves students' use of strategies and skills to adapt and adjust towards achievement in school. This research investigates the extent to which self-regulated learning is employed by community college students, and also the correlates of self-regulated learning: Is it used more by students in advanced science classes or in some disciplines? Is there a difference in the use of it by students who complete a science course and those who do not? How does it relate to GPA and basic skills assessments and science achievement? Does it predict science achievement along with GPA and assessment scores? Community college students (N = 547) taking a science course responded to the Motivated Strategies for Learning Questionnaire (MSLQ). The scales measured three groups of variables: (1) cognitive strategies (rehearsal, elaboration, organization, and critical thinking); (2) metacognitive self-regulation strategies (planning, monitoring, and self-regulation); and (3) resource management strategies (time and study environment, effort regulation, peer learning, and help-seeking). Students' course scores, college GPA, and basic skills assessment scores were obtained from faculty and college records. Students who completed a science course were found to have higher measures on cumulative college GPAs and assessment scores, but not on self-regulated learning. Self-regulated learning was found not to be used differently between students in the advanced and beginning science groups, or between students in different disciplines. The exceptions were that the advanced group scored higher in critical thinking but lower in effort regulation than the beginning group. Course achievement was found to be mostly unrelated to self-regulated learning, except for several significant but very weak and negative relationships in elaboration, self-regulation, help-seeking, and effort regulation. Cumulative GPA emerged as the only significant predictor of science achievement

  13. Developing Learning Objectives for Accounting Ethics Using Bloom's Taxonomy

    ERIC Educational Resources Information Center

    Kidwell, Linda A.; Fisher, Dann G.; Braun, Robert L.; Swanson, Diane L.

    2013-01-01

    The purpose of our article is to offer a set of core knowledge learning objectives for accounting ethics education. Using Bloom's taxonomy of educational objectives, we develop learning objectives in six content areas: codes of ethical conduct, corporate governance, the accounting profession, moral development, classical ethics theories, and…

  14. The Usefulness of Learning Objects in Industry Oriented Learning Environments

    ERIC Educational Resources Information Center

    Fernando, Shantha; Sol, Henk; Dahanayake, Ajantha

    2012-01-01

    A model is presented to evaluate the usefulness of learning objects for industry oriented learning environments that emphasise training university graduates for job opportunities in a competitive industry oriented economy. Knowledge workers of the industry seek continuous professional development to keep their skills and knowledge up to date. Many…

  15. Achievement of learning outcome after implemented physical modules based on problem based learning

    NASA Astrophysics Data System (ADS)

    Isna, R.; Masykuri, M.; Sukarmin

    2018-03-01

    Implementation of Problem BasedLearning (PBL) modules can grow the students' thinking skills to solve the problems in daily life and equip the students into higher education levels. The purpose of this research is to know the achievement of learning outcome after implementation physics module based on PBL in Newton,s Law of Gravity. This research method use the experimental method with posttest only group design. To know the achievement of student learning outcomes was analyzed using t test through application of SPSS 18. Based on research result, it is found that the average of student learning outcomes after appliying physics module based on PBL has reached the minimal exhaustiveness criteria. In addition, students' scientific attitudes also improved at each meeting. Presentation activities which contained at learning sync are also able to practice speaking skills and broaden their knowledge. Looking at some shortcomings during the study, it is suggested the issues raised into learning should be a problem close to the life of students so that, the students are more active and enthusiastic in following the learning of physics.

  16. Analyzing the Effects of Various Concept Mapping Techniques on Learning Achievement under Different Learning Styles

    ERIC Educational Resources Information Center

    Chiou, Chei-Chang; Lee, Li-Tze; Tien, Li-Chu; Wang, Yu-Min

    2017-01-01

    This study explored the effectiveness of different concept mapping techniques on the learning achievement of senior accounting students and whether achievements attained using various techniques are affected by different learning styles. The techniques are computer-assisted construct-by-self-concept mapping (CACSB), computer-assisted…

  17. The Effects of Learning Strategy Instruction on Achievement, Attitude, and Achievement Motivation in a Physics Course

    NASA Astrophysics Data System (ADS)

    Sezgin Selçuk, Gamze; Sahin, Mehmet; Açıkgöz, Kamile Ün

    2011-01-01

    This article reports on the influence of learning strategy instruction on student teachers' physics achievement, attitude towards physics, and achievement motivation. A pre-test/post-test quasi-experimental design with matching control group was used in the study. Two groups of student teachers ( n = 75) who were enrolled in an introductory physics course participated in the study. In the experimental group, questioning, summarizing, and graphic organizers were taught. The control group did not receive any presentation on strategy learning. Data were collected via the pre- and post-administration of the Physics Course Achievement Test, the Scale of Attitudes towards Physics, and the Achievement Motivation Scale. Univariate and multivariate analyses of variance on the data revealed no significant differences in the attitude and achievement motivation between the strategy and control groups. However, the strategy group students were observed to have a tendency of more positive attitude and motivation than the control group students. Results also showed that explicit learning strategy instruction was more effective than traditional instruction in improving physics achievement of the participating students. The implications of these results for physics education are discussed.

  18. Promoting Creative Thinking Ability Using Contextual Learning Model in Technical Drawing Achievement

    NASA Astrophysics Data System (ADS)

    Mursid, R.

    2018-02-01

    The purpose of this study is to determine whether there is influence; the differences in the results between students that learn drawing techniques taught by the Contextual Innovative Model (CIM) and taught by Direct Instructional Model (DIM), the differences in achievement among students of technical drawing that have High Creative Thinking Ability (HCTA) with Low Creative Thinking Ability (LCTA), and the interaction between the learning model with the ability to think creatively to the achievement technical drawing. Quasi-experimental research method. Results of research appoint that: the achievement of students that learned technical drawing by using CIM is higher than the students that learned technical drawing by using DIM, the achievement of students of technical drawings HCTA is higher than the achievement of students who have technical drawing LCTA, and there are interactions between the use of learning models and creative thinking abilities in influencing student achievement technical drawing.

  19. Searching for and Positioning of Contextualized Learning Objects

    ERIC Educational Resources Information Center

    Baldiris, Silvia; Graf, Sabine; Fabregat, Ramon; Mendez, Nestor Dario Duque

    2012-01-01

    Learning object economies are marketplaces for the sharing and reuse of learning objects (LO). There are many motivations for stimulating the development of the LO economy. The main reason is the possibility of providing the right content, at the right time, to the right learner according to adequate quality standards in the context of a lifelong…

  20. Learning science in a cooperative setting: Academic achievement and affective outcomes

    NASA Astrophysics Data System (ADS)

    Lazarowitz, Reuven; Hertz-Lazarowitz, Rachel; Baird, J. Hugh

    A learning unit in earth science was taught to high school students, using a jigsaw-group mastery learning approach. The sample consisted of 73 students in the experimental group and 47 students who learned the topic in an individualized mastery learning approach. The study lasted 5 weeks. Pretests and posttests on academic achievement and affective outcomes were administered. Data were treated with an analysis of covariance. The results show that students of the experimental group achieved significantly higher on academic outcomes, both normative and objective scores. On the creative essay test, the differences in number of ideas and total essay score were not significant between the groups, although the mean scores for number of words were higher for the individualized mastery learning group. On the affective domain, jigsaw-group mastery learning students scored significantly higher on self-esteem, number of friends, and involvement in the classroom. No differences were found in cohesiveness, cooperation, competition, and attitudes toward the subject learned. The results are discussed through the evaluation and comparison of the two methods of instruction used in this study.The cooperative learning movement began in junior high schools as part of the desegregation process, aiming at facilitating positive ethnic relations and increasing academic achievement and social skills among diverse students (Aronson, Stephan, Sikes, Blaney, & Snapp, 1978; Sharan & Hertz-Lazarowitz, 1980; Slavin, 1980). However, elementary teachers quickly recognized the potential of cooperative methods, and such methods were adopted freely in elementary schools before becoming widespread on the junior and senior high level. It has only been during the past few years that application of cooperative learning has been studied extensively with these older students.Cooperative learning methods generally involve heterogeneous groups working together on tasks that are deliberately structured to

  1. Learning object correspondences with the observed transport shape measure.

    PubMed

    Pitiot, Alain; Delingette, Hervé; Toga, Arthur W; Thompson, Paul M

    2003-07-01

    We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense correspondence field between two objects, where the characteristics of the field bear close resemblance to those in the learning set. We introduce a new local shape measure we call the "observed transport measure", whose properties make it particularly amenable to the matching problem. From the values of our measure obtained at every point of the objects to be matched, we compute a distance matrix which embeds the correspondence problem in a highly expressive and redundant construct and facilitates its manipulation. We present two learning strategies that rely on the distance matrix and discuss their applications to the matching of a variety of 1-D, 2-D and 3-D objects, including the corpus callosum and ventricular surfaces.

  2. Modeling the Relations among Students' Epistemological Beliefs, Motivation, Learning Approach, and Achievement

    ERIC Educational Resources Information Center

    Kizilgunes, Berna; Tekkaya, Ceren; Sungur, Semra

    2009-01-01

    The authors proposed a model to explain how epistemological beliefs, achievement motivation, and learning approach related to achievement. The authors assumed that epistemological beliefs influence achievement indirectly through their effect on achievement motivation and learning approach. Participants were 1,041 6th-grade students. Results of the…

  3. Object-Location-Aware Hashing for Multi-Label Image Retrieval via Automatic Mask Learning.

    PubMed

    Huang, Chang-Qin; Yang, Shang-Ming; Pan, Yan; Lai, Han-Jiang

    2018-09-01

    Learning-based hashing is a leading approach of approximate nearest neighbor search for large-scale image retrieval. In this paper, we develop a deep supervised hashing method for multi-label image retrieval, in which we propose to learn a binary "mask" map that can identify the approximate locations of objects in an image, so that we use this binary "mask" map to obtain length-limited hash codes which mainly focus on an image's objects but ignore the background. The proposed deep architecture consists of four parts: 1) a convolutional sub-network to generate effective image features; 2) a binary "mask" sub-network to identify image objects' approximate locations; 3) a weighted average pooling operation based on the binary "mask" to obtain feature representations and hash codes that pay most attention to foreground objects but ignore the background; and 4) the combination of a triplet ranking loss designed to preserve relative similarities among images and a cross entropy loss defined on image labels. We conduct comprehensive evaluations on four multi-label image data sets. The results indicate that the proposed hashing method achieves superior performance gains over the state-of-the-art supervised or unsupervised hashing baselines.

  4. The correlation between achievement goals, learning strategies, and motivation in medical students.

    PubMed

    Kim, Sun; Hur, Yera; Park, Joo Hyun

    2014-03-01

    The purpose of this study is to investigate the pursuit of achievement goals in medical students and to assess the relationship between achievement goals, learning strategy, and motivation. Two hundred seventy freshman and sophomore premedical students and sophomore medical school students participated in this study, which used the Achievement Goals Scale and the Self-Regulated Learning Strategy Questionnaire. The achievement goals of medical students were oriented toward moderate performance approach levels, slightly high performance avoidance levels, and high mastery goals. About 40% of the students were high or low in all three achievement goals. The most successful adaptive learners in the areas of learning strategies, motivation, and school achievement were students from group 6, who scored high in both performance approach and mastery goals but low in performance avoidance goals. And goal achievement are related to the academic self-efficacy, learning strategies, and motivation in medical students. In the context of academic achievement, mastery goals and performance approach goals are adaptive goals.

  5. Perceptual Learning and Attention: Reduction of Object Attention Limitations with Practice

    PubMed Central

    Dosher, Barbara Anne; Han, Songmei; Lu, Zhong-Lin

    2012-01-01

    Perceptual learning has widely been claimed to be attention driven; attention assists in choosing the relevant sensory information and attention may be necessary in many cases for learning. In this paper, we focus on the interaction of perceptual learning and attention – that perceptual learning can reduce or eliminate the limitations of attention, or, correspondingly, that perceptual learning depends on the attention condition. Object attention is a robust limit on performance. Two attributes of a single attended object may be reported without loss, while the same two attributes of different objects can exhibit a substantial dual-report deficit due to the sharing of attention between objects. The current experiments document that this fundamental dual-object report deficit can be reduced, or eliminated, through perceptual learning that is partially specific to retinal location. This suggests that alternative routes established by practice may reduce the competition between objects for processing resources. PMID:19796653

  6. Towards an Object-Oriented Model for the Design and Development of Learning Objects

    ERIC Educational Resources Information Center

    Chrysostomou, Chrysostomos; Papadopoulos, George

    2008-01-01

    This work introduces the concept of an Object-Oriented Learning Object (OOLO) that is developed in a manner similar to the one that software objects are developed through Object-Oriented Software Engineering (OO SWE) techniques. In order to make the application of the OOLO feasible and efficient, an OOLO model needs to be developed based on…

  7. Object Familiarity Facilitates Foreign Word Learning in Preschoolers

    ERIC Educational Resources Information Center

    Sera, Maria D.; Cole, Caitlin A.; Oromendia, Mercedes; Koenig, Melissa A.

    2014-01-01

    Studying how children learn words in a foreign language can shed light on how language learning changes with development. In one experiment, we examined whether three-, four-, and five-year-olds could learn and remember words for familiar and unfamiliar objects in their native English and a foreign language. All age groups could learn and remember…

  8. Objective Academic Achievement and Subjective Personal Well-Being

    ERIC Educational Resources Information Center

    McDonald, Betty

    2012-01-01

    This paper examines the relationship between objective academic achievement (OAA) and subjective well-being (SWB). Using a sample of 515 adolescents from ten different high schools across a small country, semi-structured interviews, academic records and observations provided relevant data for the study. OAA was measured from examination results…

  9. A Sense of Achievement: Outcomes of Adult Learning.

    ERIC Educational Resources Information Center

    Foster, Pablo; Howard, Ursula; Reisenberger, Anna

    1997-01-01

    This report, which is an outgrowth of the Further Education Development Agency's (FEDA's) Learning Outcomes study, explores ways of identifying, recording, and valuing adult learners' goals and achievements in learning opportunities that are not designed to lead to qualifications. The following topics are discussed in the report's six chapters:…

  10. The Use of Concrete Learning Objects Taken from the History of Mathematics in Mathematics Education

    ERIC Educational Resources Information Center

    Bütüner, Suphi Önder

    2016-01-01

    This study aimed to reveal the effects of teaching with concrete learning objects taken from the history of mathematics on student achievement. Being a quasi-experimental study, it was conducted with two grade 8 classes in a secondary school located in Trabzon. The experimental group consisted of 27 students and the control group consisted of 25.…

  11. Effects of Learning Styles and Interest on Concentration and Achievement of Students in Mobile Learning

    ERIC Educational Resources Information Center

    Li, Xiaojie; Yang, Xianmin

    2016-01-01

    Learning concentration deserves in-depth investigation in the field of mobile learning. Therefore, this study examined the interaction effects of learning styles and interest on the learning concentration and academic achievement of students who were asked to learn conceptual knowledge via their mobile phones in a classroom setting. A total of 92…

  12. Can Learning Motivation Predict Learning Achievement? A Case Study of a Mobile Game-Based English Learning Approach

    ERIC Educational Resources Information Center

    Tsai, Chia-Hui; Cheng, Ching-Hsue; Yeh, Duen-Yian; Lin, Shih-Yun

    2017-01-01

    This study applied a quasi-experimental design to investigate the influence and predictive power of learner motivation for achievement, employing a mobile game-based English learning approach. A system called the Happy English Learning System, integrating learning material into a game-based context, was constructed and installed on mobile devices…

  13. Curriculum development for a national cardiotocography education program: a Delphi survey to obtain consensus on learning objectives.

    PubMed

    Thellesen, Line; Hedegaard, Morten; Bergholt, Thomas; Colov, Nina P; Hoegh, Stinne; Sorensen, Jette L

    2015-08-01

    To define learning objectives for a national cardiotocography (CTG) education program based on expert consensus. A three-round Delphi survey. One midwife and one obstetrician from each maternity unit in Denmark were appointed based on CTG teaching experience and clinical obstetric experience. Following national and international guidelines, the research group determined six topics as important when using CTG: fetal physiology, equipment, indication, interpretation, clinical management, and communication/responsibility. In the first Delphi round, participants listed one to five learning objectives within the predefined topics. Responses were analyzed by a directed approach to content analysis. Phrasing was modified in accordance with Bloom's taxonomy. In the second and third Delphi rounds, participants rated each objective on a five-point relevance scale. Consensus was predefined as objectives with a mean rating value of ≥ 3. A prioritized list of CTG learning objectives. A total of 42 midwives and obstetricians from 21 maternity units were invited to participate, of whom 26 completed all three Delphi rounds, representing 18 maternity units. The final prioritized list included 40 objectives. The highest ranked objectives emphasized CTG interpretation and clinical management. The lowest ranked objectives emphasized fetal physiology. Mean ratings of relevance ranged from 3.15 to 5.00. National consensus on CTG learning objectives was achieved using the Delphi methodology. This was an initial step in developing a valid CTG education program. A prioritized list of objectives will clarify which topics to emphasize in a CTG education program. © 2015 Nordic Federation of Societies of Obstetrics and Gynecology.

  14. Correlation Between University Students' Kinematic Achievement and Learning Styles

    NASA Astrophysics Data System (ADS)

    Çirkinoǧlu, A. G.; Dem&ircidot, N.

    2007-04-01

    In the literature, some researches on kinematics revealed that students have many difficulties in connecting graphs and physics. Also some researches showed that the method used in classroom affects students' further learning. In this study the correlation between university students' kinematics achieve and learning style are investigated. In this purpose Kinematics Achievement Test and Learning Style Inventory were applied to 573 students enrolled in general physics 1 courses at Balikesir University in the fall semester of 2005-2006. Kinematics Test, consists of 12 multiple choose and 6 open ended questions, was developed by researchers to assess students' understanding, interpreting, and drawing graphs. Learning Style Inventory, a 24 items test including visual, auditory, and kinesthetic learning styles, was developed and used by Barsch. The data obtained from in this study were analyzed necessary statistical calculations (T-test, correlation, ANOVA, etc.) by using SPSS statistical program. Based on the research findings, the tentative recommendations are made.

  15. Effects of Traditional, Blended and E-Learning on Students' Achievement in Higher Education

    ERIC Educational Resources Information Center

    Al-Qahtani, Awadh A. Y.; Higgins, S. E.

    2013-01-01

    The study investigates the effect of e-learning, blended learning and classroom learning on students' achievement. Two experimental groups together with a control group from Umm Al-Qura University in Saudi Arabia were identified randomly. To assess students' achievement in the different groups, pre- and post-achievement tests were used. The…

  16. Layered Learning Design: Towards an Integration of Learning Design and Learning Object Perspectives

    ERIC Educational Resources Information Center

    Boyle, Tom

    2010-01-01

    The use of ICT to enhance teaching and learning depends on effective design, which operates at many levels of granularity from the small to the very large. This reflects the range of educational problems from course design down to the design of activities focused on specific learning objectives. For maximum impact these layers of design need to be…

  17. A study: Effect of Students Peer Assisted Learning on Magnetic Field Achievement

    NASA Astrophysics Data System (ADS)

    Mueanploy, Wannapa

    2016-04-01

    This study is the case study of Physic II Course for students of Pathumwan Institute of Technology. The purpose of this study is: 1) to develop cooperative learning method of peer assisted learning (PAL), 2) to compare the learning achievement before and after studied magnetic field lesson by cooperative learning method of peer assisted learning. The population was engineering students of Pathumwan Institute of Technology (PIT’s students) who registered Physic II Course during year 2014. The sample used in this study was selected from the 72 students who passed in Physic I Course. The control groups learning magnetic fields by Traditional Method (TM) and experimental groups learning magnetic field by method of peers assisted learning. The students do pretest before the lesson and do post-test after the lesson by 20 items achievement tests of magnetic field. The post-test higher than pretest achievement significantly at 0.01 level.

  18. Exploring emerging learning needs: a UK-wide consultation on environmental sustainability learning objectives for medical education.

    PubMed

    Walpole, Sarah C; Mortimer, Frances; Inman, Alice; Braithwaite, Isobel; Thompson, Trevor

    2015-12-24

    This study aimed to engage wide-ranging stakeholders and develop consensus learning objectives for undergraduate and postgraduate medical education. A UK-wide consultation garnered opinions of healthcare students, healthcare educators and other key stakeholders about environmental sustainability in medical education. The policy Delphi approach informed this study. Draft learning objectives were revised iteratively during three rounds of consultation: online questionnaire or telephone interview, face-to-face seminar and email consultation. Twelve draft learning objectives were developed based on review of relevant literature. In round one, 64 participants' median ratings of the learning objectives were 3.5 for relevance and 3.0 for feasibility on a Likert scale of one to four. Revisions were proposed, e.g. to highlight relevance to public health and professionalism. Thirty three participants attended round two. Conflicting opinions were explored. Added content areas included health benefits of sustainable behaviours. To enhance usability, restructuring provided three overarching learning objectives, each with subsidiary points. All participants from rounds one and two were contacted in round three, and no further edits were required. This is the first attempt to define consensus learning objectives for medical students about environmental sustainability. Allowing a wide range of stakeholders to comment on multiple iterations of the document stimulated their engagement with the issues raised and ownership of the resulting learning objectives.

  19. History, Context, and Policies of a Learning Object Repository

    ERIC Educational Resources Information Center

    Simpson, Steven Marshall

    2016-01-01

    Learning object repositories, a form of digital libraries, are robust systems that provide educators new ways to search for educational resources, collaborate with peers, and provide instruction to students in unique and varied ways. This study examines a learning object repository created by a large suburban school district to increase teaching…

  20. Predictable Locations Aid Early Object Name Learning

    ERIC Educational Resources Information Center

    Benitez, Viridiana L.; Smith, Linda B.

    2012-01-01

    Expectancy-based localized attention has been shown to promote the formation and retrieval of multisensory memories in adults. Three experiments show that these processes also characterize attention and learning in 16- to 18-month old infants and, moreover, that these processes may play a critical role in supporting early object name learning. The…

  1. Mechanisms of object recognition: what we have learned from pigeons

    PubMed Central

    Soto, Fabian A.; Wasserman, Edward A.

    2014-01-01

    Behavioral studies of object recognition in pigeons have been conducted for 50 years, yielding a large body of data. Recent work has been directed toward synthesizing this evidence and understanding the visual, associative, and cognitive mechanisms that are involved. The outcome is that pigeons are likely to be the non-primate species for which the computational mechanisms of object recognition are best understood. Here, we review this research and suggest that a core set of mechanisms for object recognition might be present in all vertebrates, including pigeons and people, making pigeons an excellent candidate model to study the neural mechanisms of object recognition. Behavioral and computational evidence suggests that error-driven learning participates in object category learning by pigeons and people, and recent neuroscientific research suggests that the basal ganglia, which are homologous in these species, may implement error-driven learning of stimulus-response associations. Furthermore, learning of abstract category representations can be observed in pigeons and other vertebrates. Finally, there is evidence that feedforward visual processing, a central mechanism in models of object recognition in the primate ventral stream, plays a role in object recognition by pigeons. We also highlight differences between pigeons and people in object recognition abilities, and propose candidate adaptive specializations which may explain them, such as holistic face processing and rule-based category learning in primates. From a modern comparative perspective, such specializations are to be expected regardless of the model species under study. The fact that we have a good idea of which aspects of object recognition differ in people and pigeons should be seen as an advantage over other animal models. From this perspective, we suggest that there is much to learn about human object recognition from studying the “simple” brains of pigeons. PMID:25352784

  2. Reinforcement active learning in the vibrissae system: optimal object localization.

    PubMed

    Gordon, Goren; Dorfman, Nimrod; Ahissar, Ehud

    2013-01-01

    Rats move their whiskers to acquire information about their environment. It has been observed that they palpate novel objects and objects they are required to localize in space. We analyze whisker-based object localization using two complementary paradigms, namely, active learning and intrinsic-reward reinforcement learning. Active learning algorithms select the next training samples according to the hypothesized solution in order to better discriminate between correct and incorrect labels. Intrinsic-reward reinforcement learning uses prediction errors as the reward to an actor-critic design, such that behavior converges to the one that optimizes the learning process. We show that in the context of object localization, the two paradigms result in palpation whisking as their respective optimal solution. These results suggest that rats may employ principles of active learning and/or intrinsic reward in tactile exploration and can guide future research to seek the underlying neuronal mechanisms that implement them. Furthermore, these paradigms are easily transferable to biomimetic whisker-based artificial sensors and can improve the active exploration of their environment. Copyright © 2012 Elsevier Ltd. All rights reserved.

  3. View-invariant object category learning, recognition, and search: how spatial and object attention are coordinated using surface-based attentional shrouds.

    PubMed

    Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio

    2009-02-01

    How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified mechanistic explanation of how spatial and object attention work together to search a scene and learn what is in it. The ARTSCAN model predicts how an object's surface representation generates a form-fitting distribution of spatial attention, or "attentional shroud". All surface representations dynamically compete for spatial attention to form a shroud. The winning shroud persists during active scanning of the object. The shroud maintains sustained activity of an emerging view-invariant category representation while multiple view-specific category representations are learned and are linked through associative learning to the view-invariant object category. The shroud also helps to restrict scanning eye movements to salient features on the attended object. Object attention plays a role in controlling and stabilizing the learning of view-specific object categories. Spatial attention hereby coordinates the deployment of object attention during object category learning. Shroud collapse releases a reset signal that inhibits the active view-invariant category in the What cortical processing stream. Then a new shroud, corresponding to a different object, forms in the Where cortical processing stream, and search using attention shifts and eye movements continues to learn new objects throughout a scene. The model mechanistically clarifies basic properties of attention shifts (engage, move, disengage) and inhibition of return. It simulates human reaction time data about object-based spatial attention shifts, and learns with 98.1% accuracy and a compression of 430 on a letter database whose letters vary in size, position, and orientation

  4. Investigating Elementary Students' Learning Approaches, Motivational Goals, and Achievement in Science

    ERIC Educational Resources Information Center

    Hacieminoglu, Esme; Yilmaz-Tuzun, Ozgul; Ertepinar, Hamide

    2009-01-01

    This study examined the relationships among students' learning approaches, motivational goals, previous science grades, and their science achievement for the concepts related to atomic theory and explored the effects of gender and sociodemographic variables on students' learning approaches, motivational goals, and their science achievement for the…

  5. Self-regulated learning and achievement by middle-school children.

    PubMed

    Sink, C A; Barnett, J E; Hixon, J E

    1991-12-01

    The relationship of self-regulated learning to the achievement test scores of 62 Grade 6 students was studied. Generally, the metacognitive and affective variables correlated significantly with teachers' grades and standardized test scores in mathematics, reading, and science. Planning and self-assessment significantly predicted the six measures of achievement. Step-wise multiple regression analyses using the metacognitive and affective variables largely indicate that students' and teachers' perceptions of scholastic ability and planning appear to be the most salient factors in predicting academic performance. The locus of control dimension had no utility in predicting classroom grades and performance on standardized measures of achievement. The implications of the findings for teaching and learning are discussed.

  6. From brain synapses to systems for learning and memory: Object recognition, spatial navigation, timed conditioning, and movement control.

    PubMed

    Grossberg, Stephen

    2015-09-24

    This article provides an overview of neural models of synaptic learning and memory whose expression in adaptive behavior depends critically on the circuits and systems in which the synapses are embedded. It reviews Adaptive Resonance Theory, or ART, models that use excitatory matching and match-based learning to achieve fast category learning and whose learned memories are dynamically stabilized by top-down expectations, attentional focusing, and memory search. ART clarifies mechanistic relationships between consciousness, learning, expectation, attention, resonance, and synchrony. ART models are embedded in ARTSCAN architectures that unify processes of invariant object category learning, recognition, spatial and object attention, predictive remapping, and eye movement search, and that clarify how conscious object vision and recognition may fail during perceptual crowding and parietal neglect. The generality of learned categories depends upon a vigilance process that is regulated by acetylcholine via the nucleus basalis. Vigilance can get stuck at too high or too low values, thereby causing learning problems in autism and medial temporal amnesia. Similar synaptic learning laws support qualitatively different behaviors: Invariant object category learning in the inferotemporal cortex; learning of grid cells and place cells in the entorhinal and hippocampal cortices during spatial navigation; and learning of time cells in the entorhinal-hippocampal system during adaptively timed conditioning, including trace conditioning. Spatial and temporal processes through the medial and lateral entorhinal-hippocampal system seem to be carried out with homologous circuit designs. Variations of a shared laminar neocortical circuit design have modeled 3D vision, speech perception, and cognitive working memory and learning. A complementary kind of inhibitory matching and mismatch learning controls movement. This article is part of a Special Issue entitled SI: Brain and Memory

  7. Managing and learning with multiple models: Objectives and optimization algorithms

    USGS Publications Warehouse

    Probert, William J. M.; Hauser, C.E.; McDonald-Madden, E.; Runge, M.C.; Baxter, P.W.J.; Possingham, H.P.

    2011-01-01

    The quality of environmental decisions should be gauged according to managers' objectives. Management objectives generally seek to maximize quantifiable measures of system benefit, for instance population growth rate. Reaching these goals often requires a certain degree of learning about the system. Learning can occur by using management action in combination with a monitoring system. Furthermore, actions can be chosen strategically to obtain specific kinds of information. Formal decision making tools can choose actions to favor such learning in two ways: implicitly via the optimization algorithm that is used when there is a management objective (for instance, when using adaptive management), or explicitly by quantifying knowledge and using it as the fundamental project objective, an approach new to conservation.This paper outlines three conservation project objectives - a pure management objective, a pure learning objective, and an objective that is a weighted mixture of these two. We use eight optimization algorithms to choose actions that meet project objectives and illustrate them in a simulated conservation project. The algorithms provide a taxonomy of decision making tools in conservation management when there is uncertainty surrounding competing models of system function. The algorithms build upon each other such that their differences are highlighted and practitioners may see where their decision making tools can be improved. ?? 2010 Elsevier Ltd.

  8. Speckle-learning-based object recognition through scattering media.

    PubMed

    Ando, Takamasa; Horisaki, Ryoichi; Tanida, Jun

    2015-12-28

    We experimentally demonstrated object recognition through scattering media based on direct machine learning of a number of speckle intensity images. In the experiments, speckle intensity images of amplitude or phase objects on a spatial light modulator between scattering plates were captured by a camera. We used the support vector machine for binary classification of the captured speckle intensity images of face and non-face data. The experimental results showed that speckles are sufficient for machine learning.

  9. EFL Teachers' Perception of University Students' Motivation and ESP Learning Achievement

    ERIC Educational Resources Information Center

    Dja'far, Veri Hardinansyah; Cahyono, Bambang Yudi; Bashtomi, Yazid

    2016-01-01

    This research aimed at examining Indonesian EFL Teachers' perception of students' motivation and English for Specific Purposes (ESP) learning achievement. It also explored the strategies applied by teachers based on their perception of students' motivation and ESP learning achievement. This research involved 204 students who took English for…

  10. Design of Learning Objects for Concept Learning: Effects of Multimedia Learning Principles and an Instructional Approach

    ERIC Educational Resources Information Center

    Chiu, Thomas K. F.; Churchill, Daniel

    2016-01-01

    Literature suggests using multimedia learning principles in the design of instructional material. However, these principles may not be sufficient for the design of learning objects for concept learning in mathematics. This paper reports on an experimental study that investigated the effects of an instructional approach, which includes two teaching…

  11. Learning strategies and general cognitive ability as predictors of gender- specific academic achievement.

    PubMed

    Ruffing, Stephanie; Wach, F-Sophie; Spinath, Frank M; Brünken, Roland; Karbach, Julia

    2015-01-01

    Recent research has revealed that learning behavior is associated with academic achievement at the college level, but the impact of specific learning strategies on academic success as well as gender differences therein are still not clear. Therefore, the aim of this study was to investigate gender differences in the incremental contribution of learning strategies over general cognitive ability in the prediction of academic achievement. The relationship between these variables was examined by correlation analyses. A set of t-tests was used to test for gender differences in learning strategies, whereas structural equation modeling as well as multi-group analyses were applied to investigate the incremental contribution of learning strategies for male and female students' academic performance. The sample consisted of 461 students (mean age = 21.2 years, SD = 3.2). Correlation analyses revealed that general cognitive ability as well as the learning strategies effort, attention, and learning environment were positively correlated with academic achievement. Gender differences were found in the reported application of many learning strategies. Importantly, the prediction of achievement in structural equation modeling revealed that only effort explained incremental variance (10%) over general cognitive ability. Results of multi-group analyses showed no gender differences in this prediction model. This finding provides further knowledge regarding gender differences in learning research and the specific role of learning strategies for academic achievement. The incremental assessment of learning strategy use as well as gender-differences in their predictive value contributes to the understanding and improvement of successful academic development.

  12. Teaching Business Simulation Games: Comparing Achievements Frontal Teaching vs. eLearning

    NASA Astrophysics Data System (ADS)

    Bregman, David; Keinan, Gila; Korman, Arik; Raanan, Yossi

    This paper addresses the issue of comparing results achieved by students taught the same course but in two drastically different - a regular, frontal method and an eLearning method. The subject taught required intensive communications among the students, thus making the eLearning students, a priori, less likely to do well in it. The research, comparing the achievements of students in a business simulation game over three semesters, shows that the use of eLearning method did not result in any differences in performance, grades or cooperation, thus strengthening the case for using eLearning in this type of course.

  13. Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments

    PubMed Central

    Hagiwara, Nobuko

    2017-01-01

    The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students’ skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs) in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students’ competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules’ learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed. PMID:29276425

  14. Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments.

    PubMed

    Hagiwara, Nobuko

    2017-01-01

    The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students' skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs) in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students' competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules' learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed.

  15. Two Models of Learning and Achievement: An Explanation for the Achievement Gap?

    ERIC Educational Resources Information Center

    Yeh, Stuart S.

    2015-01-01

    Background/Context: Despite decades of research, the persistence of the gap in student achievement between disadvantaged minority students and their middle-class peers remains unexplained. Purpose/Objective: The purpose of the current article is to propose a new model of the achievement gap. Research Design: Data were analyzed from three…

  16. The Analysis of the Relationship between Primary Learning Styles and Learning Objects in an Online Environment

    ERIC Educational Resources Information Center

    Özdemir, Muzaffer

    2016-01-01

    This study investigates the relationships between the primary learning styles of students and different learning objects presented simultaneously in an online learning environment in the context of the usage levels of these objects. A total of 103 sophomores from a Turkish State University participated in the study. Felder-Solomon Index of…

  17. Science Achievement in TIMSS Cognitive Domains Based on Learning Styles

    ERIC Educational Resources Information Center

    Kablan, Zeynel; Kaya, Sibel

    2013-01-01

    Problem Statement: The interest in raising levels of achievement in math and science has led to a focus on investigating the factors that shape achievement in these subjects. Understanding how different learning styles might influence science achievement may guide educators in their efforts to raise achievement. This study is an attempt to examine…

  18. 2013 AMAOs Guide: Annual Measurable Achievement Objectives (AMAOs). Title III, Part A Accountability System

    ERIC Educational Resources Information Center

    Texas Education Agency, 2013

    2013-01-01

    Under Title III of the No Child Left Behind Act of 2001 (NCLB), the Texas Education Agency is required to establish Annual Measurable Achievement Objectives (AMAOs) for the English language acquisition and academic achievement of limited English proficient (LEP) students. This 2013 Guide to Annual Measurable Achievement Objectives provides AMAO…

  19. Learning Object Names at Different Hierarchical Levels Using Cross-Situational Statistics.

    PubMed

    Chen, Chi-Hsin; Zhang, Yayun; Yu, Chen

    2018-05-01

    Objects in the world usually have names at different hierarchical levels (e.g., beagle, dog, animal). This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co-occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules significantly affected the learning of individual object labels, but not the learning of category labels. Learners' subsequent generalization of category labels indicated sensitivity to the structure of statistical input. Copyright © 2017 Cognitive Science Society, Inc.

  20. Learning Styles and Formative Assessment Strategy: Enhancing Student Achievement in Web-Based Learning

    ERIC Educational Resources Information Center

    Wang, K. H.; Wang, T. H.; Wang, W. L.; Huang, S. C.

    2006-01-01

    The purpose of this research was to investigate the effects of formative assessment and learning style on student achievement in a Web-based learning environment. A quasi-experimental research design was used. Participants were 455 seventh grade students from 12 classes of six junior high schools. A Web-based course, named BioCAL, combining three…

  1. Real-world visual statistics and infants' first-learned object names.

    PubMed

    Clerkin, Elizabeth M; Hart, Elizabeth; Rehg, James M; Yu, Chen; Smith, Linda B

    2017-01-05

    We offer a new solution to the unsolved problem of how infants break into word learning based on the visual statistics of everyday infant-perspective scenes. Images from head camera video captured by 8 1/2 to 10 1/2 month-old infants at 147 at-home mealtime events were analysed for the objects in view. The images were found to be highly cluttered with many different objects in view. However, the frequency distribution of object categories was extremely right skewed such that a very small set of objects was pervasively present-a fact that may substantially reduce the problem of referential ambiguity. The statistical structure of objects in these infant egocentric scenes differs markedly from that in the training sets used in computational models and in experiments on statistical word-referent learning. Therefore, the results also indicate a need to re-examine current explanations of how infants break into word learning.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Author(s).

  2. Real-world visual statistics and infants' first-learned object names

    PubMed Central

    Clerkin, Elizabeth M.; Hart, Elizabeth; Rehg, James M.; Yu, Chen

    2017-01-01

    We offer a new solution to the unsolved problem of how infants break into word learning based on the visual statistics of everyday infant-perspective scenes. Images from head camera video captured by 8 1/2 to 10 1/2 month-old infants at 147 at-home mealtime events were analysed for the objects in view. The images were found to be highly cluttered with many different objects in view. However, the frequency distribution of object categories was extremely right skewed such that a very small set of objects was pervasively present—a fact that may substantially reduce the problem of referential ambiguity. The statistical structure of objects in these infant egocentric scenes differs markedly from that in the training sets used in computational models and in experiments on statistical word-referent learning. Therefore, the results also indicate a need to re-examine current explanations of how infants break into word learning. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872373

  3. Learning strategies and general cognitive ability as predictors of gender- specific academic achievement

    PubMed Central

    Ruffing, Stephanie; Wach, F. -Sophie; Spinath, Frank M.; Brünken, Roland; Karbach, Julia

    2015-01-01

    Recent research has revealed that learning behavior is associated with academic achievement at the college level, but the impact of specific learning strategies on academic success as well as gender differences therein are still not clear. Therefore, the aim of this study was to investigate gender differences in the incremental contribution of learning strategies over general cognitive ability in the prediction of academic achievement. The relationship between these variables was examined by correlation analyses. A set of t-tests was used to test for gender differences in learning strategies, whereas structural equation modeling as well as multi-group analyses were applied to investigate the incremental contribution of learning strategies for male and female students’ academic performance. The sample consisted of 461 students (mean age = 21.2 years, SD = 3.2). Correlation analyses revealed that general cognitive ability as well as the learning strategies effort, attention, and learning environment were positively correlated with academic achievement. Gender differences were found in the reported application of many learning strategies. Importantly, the prediction of achievement in structural equation modeling revealed that only effort explained incremental variance (10%) over general cognitive ability. Results of multi-group analyses showed no gender differences in this prediction model. This finding provides further knowledge regarding gender differences in learning research and the specific role of learning strategies for academic achievement. The incremental assessment of learning strategy use as well as gender-differences in their predictive value contributes to the understanding and improvement of successful academic development. PMID:26347698

  4. Achieving interoperability for metadata registries using comparative object modeling.

    PubMed

    Park, Yu Rang; Kim, Ju Han

    2010-01-01

    Achieving data interoperability between organizations relies upon agreed meaning and representation (metadata) of data. For managing and registering metadata, many organizations have built metadata registries (MDRs) in various domains based on international standard for MDR framework, ISO/IEC 11179. Following this trend, two pubic MDRs in biomedical domain have been created, United States Health Information Knowledgebase (USHIK) and cancer Data Standards Registry and Repository (caDSR), from U.S. Department of Health & Human Services and National Cancer Institute (NCI), respectively. Most MDRs are implemented with indiscriminate extending for satisfying organization-specific needs and solving semantic and structural limitation of ISO/IEC 11179. As a result it is difficult to address interoperability among multiple MDRs. In this paper, we propose an integrated metadata object model for achieving interoperability among multiple MDRs. To evaluate this model, we developed an XML Schema Definition (XSD)-based metadata exchange format. We created an XSD-based metadata exporter, supporting both the integrated metadata object model and organization-specific MDR formats.

  5. Balancing the Assessment "of" Learning and "for" Learning in Support of Student Literacy Achievement

    ERIC Educational Resources Information Center

    Edwards, Patricia A.; Turner, Jennifer D.; Mokhtari, Kouider

    2008-01-01

    There is a delicate balance between the assessment of learning and assessment for learning. The recommendations included in this Assessment department may be useful for teachers working to achieve this balance and find a more accurate and complete understandings of students' literacy strengths and needs.

  6. The Influence of Emotions and Learning Preferences on Learning Strategy Use before Transition into High-Achiever Track Secondary School

    ERIC Educational Resources Information Center

    Obergriesser, Stefanie; Stoeger, Heidrun

    2016-01-01

    Research on the relationships between students' achievement emotions and their (self-regulated) learning behavior is growing. However, little is known about the relationships between students' learning preferences and achievement emotions and the extent to which these influence learning strategies. In this study we, first, looked at the…

  7. An Innovative Approach to Scheme Learning Map Considering Tradeoff Multiple Objectives

    ERIC Educational Resources Information Center

    Lin, Yu-Shih; Chang, Yi-Chun; Chu, Chih-Ping

    2016-01-01

    An important issue in personalized learning is to provide learners with customized learning according to their learning characteristics. This paper focused attention on scheming learning map as follows. The learning goal can be achieved via different pathways based on alternative materials, which have the relationships of prerequisite, dependence,…

  8. On the Effect of Learning Style on Scholastic Achievement

    ERIC Educational Resources Information Center

    Bhatti, Rahmatullah; Bart, William M.

    2013-01-01

    The present study was designed to explore the influence of learning styles on scholastic achievement levels. The participants in this study were undergraduate students studying social sciences at a Division 1 research university. The frequencies of the participants in the four learning style categories are the following: Convergent ("n"…

  9. Object Classification With Joint Projection and Low-Rank Dictionary Learning.

    PubMed

    Foroughi, Homa; Ray, Nilanjan; Hong Zhang

    2018-02-01

    For an object classification system, the most critical obstacles toward real-world applications are often caused by large intra-class variability, arising from different lightings, occlusion, and corruption, in limited sample sets. Most methods in the literature would fail when the training samples are heavily occluded, corrupted or have significant illumination or viewpoint variations. Besides, most of the existing methods and especially deep learning-based methods, need large training sets to achieve a satisfactory recognition performance. Although using the pre-trained network on a generic large-scale data set and fine-tune it to the small-sized target data set is a widely used technique, this would not help when the content of base and target data sets are very different. To address these issues simultaneously, we propose a joint projection and low-rank dictionary learning method using dual graph constraints. Specifically, a structured class-specific dictionary is learned in the low-dimensional space, and the discrimination is further improved by imposing a graph constraint on the coding coefficients, that maximizes the intra-class compactness and inter-class separability. We enforce structural incoherence and low-rank constraints on sub-dictionaries to reduce the redundancy among them, and also make them robust to variations and outliers. To preserve the intrinsic structure of data, we introduce a supervised neighborhood graph into the framework to make the proposed method robust to small-sized and high-dimensional data sets. Experimental results on several benchmark data sets verify the superior performance of our method for object classification of small-sized data sets, which include a considerable amount of different kinds of variation, and may have high-dimensional feature vectors.

  10. Digital learning objects in nursing consultation: technology assessment by undergraduate students.

    PubMed

    Silveira, DeniseTolfo; Catalan, Vanessa Menezes; Neutzling, Agnes Ludwig; Martinato, Luísa Helena Machado

    2010-01-01

    This study followed the teaching-learning process about the nursing consultation, based on digital learning objects developed through the active Problem Based Learning method. The goals were to evaluate the digital learning objects about nursing consultation, develop cognitive skills on the subject using problem based learning and identify the students' opinions on the use of technology. This is an exploratory and descriptive study with a quantitative approach. The sample consisted of 71 students in the sixth period of the nursing program at the Federal University of Rio Grande do Sul. The data was collected through a questionnaire to evaluate the learning objects. The results showed positive agreement (58%) on the content, usability and didactics of the proposed computer-mediated activity regarding the nursing consultation. The application of materials to the students is considered positive.

  11. Multi-Objective Reinforcement Learning-based Deep Neural Networks for Cognitive Space Communications

    NASA Technical Reports Server (NTRS)

    Ferreria, Paulo; Paffenroth, Randy; Wyglinski, Alexander M.; Hackett, Timothy; Bilen, Sven; Reinhart, Richard; Mortensen, Dale

    2017-01-01

    Future communication subsystems of space exploration missions can potentially benefit from software-defined radios (SDRs) controlled by machine learning algorithms. In this paper, we propose a novel hybrid radio resource allocation management control algorithm that integrates multi-objective reinforcement learning and deep artificial neural networks. The objective is to efficiently manage communications system resources by monitoring performance functions with common dependent variables that result in conflicting goals. The uncertainty in the performance of thousands of different possible combinations of radio parameters makes the trade-off between exploration and exploitation in reinforcement learning (RL) much more challenging for future critical space-based missions. Thus, the system should spend as little time as possible on exploring actions, and whenever it explores an action, it should perform at acceptable levels most of the time. The proposed approach enables on-line learning by interactions with the environment and restricts poor resource allocation performance through virtual environment exploration. Improvements in the multiobjective performance can be achieved via transmitter parameter adaptation on a packet-basis, with poorly predicted performance promptly resulting in rejected decisions. Simulations presented in this work considered the DVB-S2 standard adaptive transmitter parameters and additional ones expected to be present in future adaptive radio systems. Performance results are provided by analysis of the proposed hybrid algorithm when operating across a satellite communication channel from Earth to GEO orbit during clear sky conditions. The proposed approach constitutes part of the core cognitive engine proof-of-concept to be delivered to the NASA Glenn Research Center SCaN Testbed located onboard the International Space Station.

  12. Multi-Objective Reinforcement Learning-Based Deep Neural Networks for Cognitive Space Communications

    NASA Technical Reports Server (NTRS)

    Ferreria, Paulo Victor R.; Paffenroth, Randy; Wyglinski, Alexander M.; Hackett, Timothy M.; Bilen, Sven G.; Reinhart, Richard C.; Mortensen, Dale J.

    2017-01-01

    Future communication subsystems of space exploration missions can potentially benefit from software-defined radios (SDRs) controlled by machine learning algorithms. In this paper, we propose a novel hybrid radio resource allocation management control algorithm that integrates multi-objective reinforcement learning and deep artificial neural networks. The objective is to efficiently manage communications system resources by monitoring performance functions with common dependent variables that result in conflicting goals. The uncertainty in the performance of thousands of different possible combinations of radio parameters makes the trade-off between exploration and exploitation in reinforcement learning (RL) much more challenging for future critical space-based missions. Thus, the system should spend as little time as possible on exploring actions, and whenever it explores an action, it should perform at acceptable levels most of the time. The proposed approach enables on-line learning by interactions with the environment and restricts poor resource allocation performance through virtual environment exploration. Improvements in the multiobjective performance can be achieved via transmitter parameter adaptation on a packet-basis, with poorly predicted performance promptly resulting in rejected decisions. Simulations presented in this work considered the DVB-S2 standard adaptive transmitter parameters and additional ones expected to be present in future adaptive radio systems. Performance results are provided by analysis of the proposed hybrid algorithm when operating across a satellite communication channel from Earth to GEO orbit during clear sky conditions. The proposed approach constitutes part of the core cognitive engine proof-of-concept to be delivered to the NASA Glenn Research Center SCaN Testbed located onboard the International Space Station.

  13. Problem-Based Learning Environment in Basic Computer Course: Pre-Service Teachers' Achievement and Key Factors for Learning

    ERIC Educational Resources Information Center

    Efendioglu, Akin

    2015-01-01

    This experimental study aims to determine pre-service teachers' achievements and key factors that affect the learning process with regard to problem-based learning (PBL) and lecture-based computer course (LBCC) conditions. The research results showed that the pre-service teachers in the PBL group had significantly higher achievement scores than…

  14. Objectively measured sedentary time and academic achievement in schoolchildren.

    PubMed

    Lopes, Luís; Santos, Rute; Mota, Jorge; Pereira, Beatriz; Lopes, Vítor

    2017-03-01

    This study aimed to evaluate the relationship between objectively measured total sedentary time and academic achievement (AA) in Portuguese children. The sample comprised of 213 children (51.6% girls) aged 9.46 ± 0.43 years, from the north of Portugal. Sedentary time was measured with accelerometry, and AA was assessed using the Portuguese Language and Mathematics National Exams results. Multilevel linear regression models were fitted to assess regression coefficients predicting AA. The results showed that objectively measured total sedentary time was not associated with AA, after adjusting for potential confounders.

  15. Online Feature Transformation Learning for Cross-Domain Object Category Recognition.

    PubMed

    Zhang, Xuesong; Zhuang, Yan; Wang, Wei; Pedrycz, Witold

    2017-06-09

    In this paper, we introduce a new research problem termed online feature transformation learning in the context of multiclass object category recognition. The learning of a feature transformation is viewed as learning a global similarity metric function in an online manner. We first consider the problem of online learning a feature transformation matrix expressed in the original feature space and propose an online passive aggressive feature transformation algorithm. Then these original features are mapped to kernel space and an online single kernel feature transformation (OSKFT) algorithm is developed to learn a nonlinear feature transformation. Based on the OSKFT and the existing Hedge algorithm, a novel online multiple kernel feature transformation algorithm is also proposed, which can further improve the performance of online feature transformation learning in large-scale application. The classifier is trained with k nearest neighbor algorithm together with the learned similarity metric function. Finally, we experimentally examined the effect of setting different parameter values in the proposed algorithms and evaluate the model performance on several multiclass object recognition data sets. The experimental results demonstrate the validity and good performance of our methods on cross-domain and multiclass object recognition application.

  16. Scaffolding in Problem-Based Learning for Low-Achieving Learners

    ERIC Educational Resources Information Center

    Haruehansawasin, Sanit; Kiattikomol, Paiboon

    2018-01-01

    This research investigates scaffolding approaches for supporting low-achieving learners in a problem-based learning environment. The study was conducted in a vocational school with 3 different approaches to scaffolding using 3 groups in addition to a control group. The area of focus was a learning module using computer spreadsheets. The results…

  17. Learning viewpoint invariant object representations using a temporal coherence principle.

    PubMed

    Einhäuser, Wolfgang; Hipp, Jörg; Eggert, Julian; Körner, Edgar; König, Peter

    2005-07-01

    Invariant object recognition is arguably one of the major challenges for contemporary machine vision systems. In contrast, the mammalian visual system performs this task virtually effortlessly. How can we exploit our knowledge on the biological system to improve artificial systems? Our understanding of the mammalian early visual system has been augmented by the discovery that general coding principles could explain many aspects of neuronal response properties. How can such schemes be transferred to system level performance? In the present study we train cells on a particular variant of the general principle of temporal coherence, the "stability" objective. These cells are trained on unlabeled real-world images without a teaching signal. We show that after training, the cells form a representation that is largely independent of the viewpoint from which the stimulus is looked at. This finding includes generalization to previously unseen viewpoints. The achieved representation is better suited for view-point invariant object classification than the cells' input patterns. This property to facilitate view-point invariant classification is maintained even if training and classification take place in the presence of an--also unlabeled--distractor object. In summary, here we show that unsupervised learning using a general coding principle facilitates the classification of real-world objects, that are not segmented from the background and undergo complex, non-isomorphic, transformations.

  18. Learning Objects Update: Review and Critical Approach to Content Aggregation

    ERIC Educational Resources Information Center

    Balatsoukas, Panos; Morris, Anne; O'Brien, Ann

    2008-01-01

    The structure and composite nature of a learning object is still open to interpretation. Although several theoretical studies advocate integrated approaches to the structure and aggregation level of learning objects, in practice, many content specifications, such as SCORM, IMS Content Packaging, and course authoring tools, do not explicitly state…

  19. Learning Behavior and Achievement Analysis of a Digital Game-Based Learning Approach Integrating Mastery Learning Theory and Different Feedback Models

    ERIC Educational Resources Information Center

    Yang, Kai-Hsiang

    2017-01-01

    It is widely accepted that the digital game-based learning approach has the advantage of stimulating students' learning motivation, but simply using digital games in the classroom does not guarantee satisfactory learning achievement, especially in the case of the absence of a teacher. Integrating appropriate learning strategies into a game can…

  20. Form over Substance: Learning Objectives in the Business Core

    ERIC Educational Resources Information Center

    Stokes, Leonard; Rosetti, Joseph L.; King, Michelle

    2010-01-01

    While members of the business faculty community have been advocating active learning in the classroom, it appears that textbooks encourage learning from a passive perspective. A review of learning objectives from 16 textbooks used in Financial Accounting, Managerial Accounting, Finance, and Marketing demonstrates a focus on basically the same set…

  1. Object based implicit contextual learning: a study of eye movements.

    PubMed

    van Asselen, Marieke; Sampaio, Joana; Pina, Ana; Castelo-Branco, Miguel

    2011-02-01

    Implicit contextual cueing refers to a top-down mechanism in which visual search is facilitated by learned contextual features. In the current study we aimed to investigate the mechanism underlying implicit contextual learning using object information as a contextual cue. Therefore, we measured eye movements during an object-based contextual cueing task. We demonstrated that visual search is facilitated by repeated object information and that this reduction in response times is associated with shorter fixation durations. This indicates that by memorizing associations between objects in our environment we can recognize objects faster, thereby facilitating visual search.

  2. A Comparison of Emotional-Motivational (A-R-D Theory) Personality Characteristics in Learning Disabled, Normal Achieving, and High Achieving Children.

    ERIC Educational Resources Information Center

    Hufano, Linda D.

    The study examined emotional-motivational personality characteristics of 15 learning disabled, 15 normal achieving, and 15 high achieving students (grades 3-5). The study tested the hypothesis derived from the A-R-D (attitude-reinforcer-discriminative) theory of motivation that learning disabled (LD) children differ from normal and high achieving…

  3. Influences of an Inquiry-based Ubiquitous Gaming Design on Students' Learning Achievements, Motivation, Behavioral Patterns, and Tendency towards Critical Thinking and Problem Solving

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Chen, Chih-Hung

    2017-01-01

    In this paper, an inquiry-based ubiquitous gaming approach was proposed. The objective of the study was to enhance students' performances in in-field learning activities. To show the advantages of the approach, an experiment was carried out to assess the effects of it on students' learning achievement, motivation, critical thinking, and problem…

  4. Long-Term Learning, Achievement Tests, and Learner Centered Instruction

    ERIC Educational Resources Information Center

    Salinas, Moises F.; Kane-Johnson, Sarah E.; Vasil-Miller, Melissa A.

    2008-01-01

    The purpose of this study was to examine the effectiveness of achievement tests to measure long-term learning at the higher education level in traditional verses learner-centered classrooms. Volunteer instructors who use comprehensive achievement tests as an important component of their grading system were asked to complete an instrument that…

  5. Aversive Learning Modulates Cortical Representations of Object Categories

    PubMed Central

    Dunsmoor, Joseph E.; Kragel, Philip A.; Martin, Alex; LaBar, Kevin S.

    2014-01-01

    Experimental studies of conditioned learning reveal activity changes in the amygdala and unimodal sensory cortex underlying fear acquisition to simple stimuli. However, real-world fears typically involve complex stimuli represented at the category level. A consequence of category-level representations of threat is that aversive experiences with particular category members may lead one to infer that related exemplars likewise pose a threat, despite variations in physical form. Here, we examined the effect of category-level representations of threat on human brain activation using 2 superordinate categories (animals and tools) as conditioned stimuli. Hemodynamic activity in the amygdala and category-selective cortex was modulated by the reinforcement contingency, leading to widespread fear of different exemplars from the reinforced category. Multivariate representational similarity analyses revealed that activity patterns in the amygdala and object-selective cortex were more similar among exemplars from the threat versus safe category. Learning to fear animate objects was additionally characterized by enhanced functional coupling between the amygdala and fusiform gyrus. Finally, hippocampal activity co-varied with object typicality and amygdala activation early during training. These findings provide novel evidence that aversive learning can modulate category-level representations of object concepts, thereby enabling individuals to express fear to a range of related stimuli. PMID:23709642

  6. Learning by Creating and Exchanging Objects: The SCY Experience

    ERIC Educational Resources Information Center

    De Jong, Ton; Van Joolingen, Wouter R.; Giemza, Adam; Girault, Isabelle; Hoppe, Ulrich; Kindermann, Jorg; Kluge, Anders; Lazonder, Ard W.; Vold, Vibeke; Weinberger, Armin; Weinbrenner, Stefan; Wichmann, Astrid; Anjewierden, Anjo; Bodin, Marjolaine; Bollen, Lars; D'Ham, Cedric; Dolonen, Jan; Engler, Jan; Geraedts, Caspar; Grosskreutz, Henrik; Hovardas, Tasos; Julien, Rachel; Lechner, Judith; Ludvigsen, Sten; Matteman, Yuri; Meistadt, Oyvind; Naess, Bjorge; Ney, Muriel; Pedaste, Margus; Perritano, Anthony; Rinket, Marieke; Von Schlanbusch, Henrik; Sarapuu, Tago; Schulz, Florian; Sikken, Jakob; Slotta, Jim; Toussaint, Jeremy; Verkade, Alex; Wajeman, Claire; Wasson, Barbara; Zacharia, Zacharias C.; Van Der Zanden, Martine

    2010-01-01

    Science Created by You (SCY) is a project on learning in science and technology domains. SCY uses a pedagogical approach that centres around products, called "emerging learning objects" (ELOs) that are created by students. Students work individually and collaboratively in SCY-Lab (the general SCY learning environment) on "missions" that are guided…

  7. The effects of traditional learning and a learning cycle inquiry learning strategy on students' science achievement and attitudes toward elementary science

    NASA Astrophysics Data System (ADS)

    Ebrahim, Ali

    The purpose of this study is to examine the impact of two instructional methods on students' academic achievement and attitudes toward elementary science in the State of Kuwait: traditional teaching method and the 4-E learning cycle inquiry teaching method. The subjects were 111 students from four intact 4th grade classes. The experiment group (n = 56) received the learning cycle instruction while the control group (n = 55) received a more traditional approach over a four week period. The same female teacher taught the experimental and control groups for boys and a different female teacher taught experimental and control groups for girls. The dependent variables were measured through the use of: (1) a science achievement test to assess student achievement; and (2) an attitude survey to measure students' attitudes toward science. Quantitative data were collected on students' pre- and post-treatment achievement and attitudes measures. The two way MANOVA reveals that: the 4-E learning cycle instructional method produces significantly greater achievement and attitudes among fourth grade science students than the traditional teaching approach F (2, 93) = 19.765, (P = .000), corresponding to Wilks' Lambda = .702 with an effect size of .298 and a power of 1. In light of these findings, it is therefore suggested that students can achieve greater and have higher science attitudes when the 4-E learning cycle is used. In addition, these findings support the notion that effective instruction in teaching science, such as the 4-E learning cycle instruction, should be proposed and implemented in elementary schools.

  8. The Effects of Using Learning Objects in Two Different Settings

    ERIC Educational Resources Information Center

    Cakiroglu, Unal; Baki, Adnan; Akkan, Yasar

    2012-01-01

    The study compared the effects of Learning Objects (LOs) within different applications; in classroom and in extracurricular activities. So in this study, firstly a Learning Object Repository (LOR) has been designed in parallel with 9th grade school mathematics curriculum. One of the two treatment groups was named as "classroom group" (n…

  9. Quantifying the Value of Service-Learning: A Comparison of Grade Achievement between Service-Learning and Non-Service-Learning Students

    ERIC Educational Resources Information Center

    Brail, Shauna

    2016-01-01

    This study evaluates whether students who participate voluntarily in a service-learning activity achieve higher learning outcomes, measured by grades, than students who voluntarily choose not to participate in service learning. Analysis is based on a study of an introductory urban studies course at a large North American research university over a…

  10. An Analysis on Usage Preferences of Learning Objects and Learning Object Repositories among Pre-Service Teachers

    ERIC Educational Resources Information Center

    Yeni, Sabiha; Ozdener, Nesrin

    2014-01-01

    The purpose of the study is to investigate how pre-service teachers benefit from learning objects repositories while preparing course content. Qualitative and quantitative data collection methods were used in a mixed methods approach. This study was carried out with 74 teachers from the Faculty of Education. In the first phase of the study,…

  11. An Ontological Representation of Learning Objects and Learning Designs as Codified Knowledge

    ERIC Educational Resources Information Center

    Sanchez-Alonso, Salvador; Frosch-Wilke, Dirk

    2005-01-01

    Purpose: The aim of this paper is discussing about the similarities between the life cycle of knowledge management and the processes in which learning objects are created, evaluated and used. Design/methodology/approach: The paper describes LO and learning designs and depicts their integration into the knowledge life cycle (KLC) of the KMCI,…

  12. Guided Learning at Workstations about Drug Prevention with Low Achievers in Science Education

    ERIC Educational Resources Information Center

    Thomas, Heyne; Bogner, Franz X.

    2012-01-01

    Our study focussed on the cognitive achievement potential of low achieving eighth graders, dealing with drug prevention (cannabis). The learning process was guided by a teacher, leading this target group towards a modified learning at workstations which is seen as an appropriate approach for low achievers. We compared this specific open teaching…

  13. ICT Competence-Based Learning Object Recommendations for Teachers

    ERIC Educational Resources Information Center

    Sergis, Stylianos; Zervas, Panagiotis; Sampson, Demetrios G.

    2014-01-01

    Recommender Systems (RS) have been applied in the Technology enhanced Learning (TeL) field for facilitating, among others, Learning Object (LO) selection and retrieval. Most of the existing approaches, however, aim at accommodating the needs of learners and teacher-oriented RS are still an under-investigated field. Moreover, the systems that focus…

  14. Providing Author-Defined State Data Storage to Learning Objects

    ERIC Educational Resources Information Center

    Kassahun, Ayalew; Beulens, Adrie; Hartog, Rob

    2006-01-01

    Two major trends in eLearning are the shift from presentational towards activating learning objects and the shift from proprietary towards SCORM conformant delivery systems. In a large program on the design, development and use of digital learning material for food and biotechnology in higher education, a large amount of experience has been gained…

  15. The Open Learning Object Model to Promote Open Educational Resources

    ERIC Educational Resources Information Center

    Fulantelli, Giovanni; Gentile, Manuel; Taibi, Davide; Allegra, Mario

    2008-01-01

    In this paper we present the results of research work, that forms part of the activities of the EU-funded project SLOOP: Sharing Learning Objects in an Open Perspective, aimed at encouraging the definition, development and management of Open Educational Resources based on the Learning Object paradigm (Wiley, 2000). We present a model of Open…

  16. Mobile Authoring of Open Educational Resources as Reusable Learning Objects

    ERIC Educational Resources Information Center

    Kinshuk; Jesse, Ryan

    2013-01-01

    E-learning technologies have allowed authoring and playback of standardized reusable learning objects (RLO) for several years. Effective mobile learning requires similar functionality at both design time and runtime. Mobile devices can play RLO using applications like SMILE, mobile access to a learning management system (LMS), or other systems…

  17. The company objects keep: Linking referents together during cross-situational word learning.

    PubMed

    Zettersten, Martin; Wojcik, Erica; Benitez, Viridiana L; Saffran, Jenny

    2018-04-01

    Learning the meanings of words involves not only linking individual words to referents but also building a network of connections among entities in the world, concepts, and words. Previous studies reveal that infants and adults track the statistical co-occurrence of labels and objects across multiple ambiguous training instances to learn words. However, it is less clear whether, given distributional or attentional cues, learners also encode associations amongst the novel objects. We investigated the consequences of two types of cues that highlighted object-object links in a cross-situational word learning task: distributional structure - how frequently the referents of novel words occurred together - and visual context - whether the referents were seen on matching backgrounds. Across three experiments, we found that in addition to learning novel words, adults formed connections between frequently co-occurring objects. These findings indicate that learners exploit statistical regularities to form multiple types of associations during word learning.

  18. Gender and Ethnicity Differences Manifested in Chemistry Achievement and Self-Regulated Learning

    ERIC Educational Resources Information Center

    Veloo, Arsaythamby; Hong, Lee Hooi; Lee, Seung Chun

    2015-01-01

    The aim of this study is to examine whether gender and ethnicity differences are manifested in chemistry achievement and self-regulated learning among a matriculation programme students in Malaysia. The result of students' midterm chemistry exam was used as the measure of chemistry achievement. The information of self-regulated learning was…

  19. Learning to learn causal models.

    PubMed

    Kemp, Charles; Goodman, Noah D; Tenenbaum, Joshua B

    2010-09-01

    Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered. Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models. The schema organizes the objects into categories and specifies the causal powers and characteristic features of these categories and the characteristic causal interactions between categories. A schema of this kind allows causal models for subsequent objects to be rapidly learned, and we explore this accelerated learning in four experiments. Our results confirm that humans learn rapidly about the causal powers of novel objects, and we show that our framework accounts better for our data than alternative models of causal learning. Copyright © 2010 Cognitive Science Society, Inc.

  20. Proposal of a Framework for Internet Based Licensing of Learning Objects

    ERIC Educational Resources Information Center

    Santos, Osvaldo A.; Ramos, Fernando M. S.

    2004-01-01

    This paper presents a proposal of a framework whose main objective is to manage the delivery and rendering of learning objects in a digital rights controlled environment. The framework is based on a digital licensing scheme that requires each learning object to have the proper license in order to be rendered by a trusted player. A conceptual model…

  1. Multi-objective optimization of radiotherapy: distributed Q-learning and agent-based simulation

    NASA Astrophysics Data System (ADS)

    Jalalimanesh, Ammar; Haghighi, Hamidreza Shahabi; Ahmadi, Abbas; Hejazian, Hossein; Soltani, Madjid

    2017-09-01

    Radiotherapy (RT) is among the regular techniques for the treatment of cancerous tumours. Many of cancer patients are treated by this manner. Treatment planning is the most important phase in RT and it plays a key role in therapy quality achievement. As the goal of RT is to irradiate the tumour with adequately high levels of radiation while sparing neighbouring healthy tissues as much as possible, it is a multi-objective problem naturally. In this study, we propose an agent-based model of vascular tumour growth and also effects of RT. Next, we use multi-objective distributed Q-learning algorithm to find Pareto-optimal solutions for calculating RT dynamic dose. We consider multiple objectives and each group of optimizer agents attempt to optimise one of them, iteratively. At the end of each iteration, agents compromise the solutions to shape the Pareto-front of multi-objective problem. We propose a new approach by defining three schemes of treatment planning created based on different combinations of our objectives namely invasive, conservative and moderate. In invasive scheme, we enforce killing cancer cells and pay less attention about irradiation effects on normal cells. In conservative scheme, we take more care of normal cells and try to destroy cancer cells in a less stressed manner. The moderate scheme stands in between. For implementation, each of these schemes is handled by one agent in MDQ-learning algorithm and the Pareto optimal solutions are discovered by the collaboration of agents. By applying this methodology, we could reach Pareto treatment plans through building different scenarios of tumour growth and RT. The proposed multi-objective optimisation algorithm generates robust solutions and finds the best treatment plan for different conditions.

  2. Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    PubMed Central

    Hauffen, Karin; Bart, Eugene; Brady, Mark; Kersten, Daniel; Hegdé, Jay

    2012-01-01

    In order to quantitatively study object perception, be it perception by biological systems or by machines, one needs to create objects and object categories with precisely definable, preferably naturalistic, properties1. Furthermore, for studies on perceptual learning, it is useful to create novel objects and object categories (or object classes) with such properties2. Many innovative and useful methods currently exist for creating novel objects and object categories3-6 (also see refs. 7,8). However, generally speaking, the existing methods have three broad types of shortcomings. First, shape variations are generally imposed by the experimenter5,9,10, and may therefore be different from the variability in natural categories, and optimized for a particular recognition algorithm. It would be desirable to have the variations arise independently of the externally imposed constraints. Second, the existing methods have difficulty capturing the shape complexity of natural objects11-13. If the goal is to study natural object perception, it is desirable for objects and object categories to be naturalistic, so as to avoid possible confounds and special cases. Third, it is generally hard to quantitatively measure the available information in the stimuli created by conventional methods. It would be desirable to create objects and object categories where the available information can be precisely measured and, where necessary, systematically manipulated (or 'tuned'). This allows one to formulate the underlying object recognition tasks in quantitative terms. Here we describe a set of algorithms, or methods, that meet all three of the above criteria. Virtual morphogenesis (VM) creates novel, naturalistic virtual 3-D objects called 'digital embryos' by simulating the biological process of embryogenesis14. Virtual phylogenesis (VP) creates novel, naturalistic object categories by simulating the evolutionary process of natural selection9,12,13. Objects and object categories created

  3. Creating objects and object categories for studying perception and perceptual learning.

    PubMed

    Hauffen, Karin; Bart, Eugene; Brady, Mark; Kersten, Daniel; Hegdé, Jay

    2012-11-02

    In order to quantitatively study object perception, be it perception by biological systems or by machines, one needs to create objects and object categories with precisely definable, preferably naturalistic, properties. Furthermore, for studies on perceptual learning, it is useful to create novel objects and object categories (or object classes) with such properties. Many innovative and useful methods currently exist for creating novel objects and object categories (also see refs. 7,8). However, generally speaking, the existing methods have three broad types of shortcomings. First, shape variations are generally imposed by the experimenter, and may therefore be different from the variability in natural categories, and optimized for a particular recognition algorithm. It would be desirable to have the variations arise independently of the externally imposed constraints. Second, the existing methods have difficulty capturing the shape complexity of natural objects. If the goal is to study natural object perception, it is desirable for objects and object categories to be naturalistic, so as to avoid possible confounds and special cases. Third, it is generally hard to quantitatively measure the available information in the stimuli created by conventional methods. It would be desirable to create objects and object categories where the available information can be precisely measured and, where necessary, systematically manipulated (or 'tuned'). This allows one to formulate the underlying object recognition tasks in quantitative terms. Here we describe a set of algorithms, or methods, that meet all three of the above criteria. Virtual morphogenesis (VM) creates novel, naturalistic virtual 3-D objects called 'digital embryos' by simulating the biological process of embryogenesis. Virtual phylogenesis (VP) creates novel, naturalistic object categories by simulating the evolutionary process of natural selection. Objects and object categories created by these simulations can

  4. Relationship between the learning style preferences of medical students and academic achievement.

    PubMed

    Almigbal, Turky H

    2015-03-01

    To investigate the relationship between the learning style preferences of Saudi medical students and their academic achievements. A cross-sectional study was conducted among 600 medical students at King Saud University in Riyadh, Kingdom of Saudi Arabia from October 2012 to July 2013. The Visual, Aural, Read/Write, and Kinesthetic questionnaire (VARK) questionnaire was used to categorize learning style preferences. Descriptive and analytical statistics were used to identify the learning style preferences of medical students and their relationship to academic achievement, gender, marital status, residency, different teaching curricula, and study resources (for example, teachers' PowerPoint slides, textbooks, and journals). The results indicated that 261 students (43%) preferred to learn using all VARK modalities. There was a significant difference in learning style preferences between genders (p=0.028). The relationship between learning style preferences and students in different teaching curricula was also statistically significant (p=0.047). However, learning style preferences are not related to a student's academic achievements, marital status, residency, or study resources (for example, teachers' PowerPoint slides, textbooks, and journals). Also, after being adjusted to other studies' variables, the learning style preferences were not related to GPA. Our findings can be used to improve the quality of teaching in Saudi Arabia; students would be advantaged if teachers understood the factors that can be related to students' learning styles.

  5. Investigating Flipped Learning: Student Self-Regulated Learning, Perceptions, and Achievement in an Introductory Biology Course

    NASA Astrophysics Data System (ADS)

    Sletten, Sarah Rae

    2017-06-01

    In flipped classrooms, lectures, which are normally delivered in-class, are assigned as homework in the form of videos, and assignments that were traditionally assigned as homework, are done as learning activities in class. It was hypothesized that the effectiveness of the flipped model hinges on a student's desire and ability to adopt a self-directed learning style. The purpose of this study was twofold; it aimed at examining the relationship between two variables—students' perceptions of the flipped model and their self-regulated learning (SRL) behaviors—and the impact that these variables have on achievement in a flipped class. For the study, 76 participants from a flipped introductory biology course were asked about their SRL strategy use and perceptions of the flipped model. SRL strategy use was measured using a modified version of the Motivated Strategies for Learning Questionnaire (MSLQ; Wolters et al. 2005), while the flipped perceptions survey was newly derived. Student letter grades were collected as a measure of achievement. Through regression analysis, it was found that students' perceptions of the flipped model positively predict students' use of several types of SRL strategies. However, the data did not indicate a relationship between student perceptions and achievement, neither directly nor indirectly, through SRL strategy use. Results suggest that flipped classrooms demonstrate their successes in the active learning sessions through constructivist teaching methods. Video lectures hold an important role in flipped classes, however, students may need to practice SRL skills to become more self-directed and effectively learn from them.

  6. How category learning affects object representations: Not all morphspaces stretch alike

    PubMed Central

    Folstein, Jonathan R.; Gauthier, Isabel; Palmeri, Thomas J.

    2012-01-01

    How does learning to categorize objects affect how we visually perceive them? Behavioral, neurophysiological, and neuroimaging studies have tested the degree to which category learning influences object representations, with conflicting results. Some studies find that objects become more visually discriminable along dimensions relevant to previously learned categories, while others find no such effect. One critical factor we explore here lies in the structure of the morphspaces used in different studies. Studies finding no increase in discriminability often use “blended” morphspaces, with morphparents lying at corners of the space. By contrast, studies finding increases in discriminability use “factorial” morphspaces, defined by separate morphlines forming axes of the space. Using the same four morphparents, we created both factorial and blended morphspaces matched in pairwise discriminability. Category learning caused a selective increase in discriminability along the relevant dimension of the factorial space, but not in the blended space, and led to the creation of functional dimensions in the factorial space, but not in the blended space. These findings demonstrate that not all morphspaces stretch alike: Only some morphspaces support enhanced discriminability to relevant object dimensions following category learning. Our results have important implications for interpreting neuroimaging studies reporting little or no effect of category learning on object representations in the visual system: Those studies may have been limited by their use of blended morphspaces. PMID:22746950

  7. Throw out Learning Objectives! In Support of a New Taxonomy

    ERIC Educational Resources Information Center

    Gander, Sharon L.

    2006-01-01

    In the right hands, learning objectives are great tools for clarifying thinking, breaking down learning into component parts, creating a logical order to learning, and demonstrating that a learning intervention is successful. Mostly, however, they have become cliches. With the industry's tendency to use them as pro forma media bites, they tend to…

  8. [Relationship Between General Cognitive Abilities and School Achievement: The Mediation Role of Learning Behavior].

    PubMed

    Weber, H M; Rücker, S; Büttner, P; Petermann, F; Daseking, M

    2015-10-01

    General cognitive abilities are still considered as the most important predictor of school achievement and success. Whether the high correlation (r=0.50) can be explained by other variables has not yet been studied. Learning behavior can be discussed as one factor that influences the relationship between general cognitive abilities and school achievement. This study examined the relationship between intelligence, school achievement and learning behavior. Mediator analyses were conducted to check whether learning behavior would mediate the relationship between general cognitive abilities and school grades in mathematics and German. Statistical analyses confirmed that the relationship between general cognitive abilities and school achievement was fully mediated by learning behavior for German, whereas intelligence seemed to be the only predictor for achievement in mathematics. These results could be confirmed by non-parametric bootstrapping procedures. RESULTS indicate that special training of learning behavior may have a positive impact on school success, even for children and adolescents with low IQ. © Georg Thieme Verlag KG Stuttgart · New York.

  9. Achievement Goals, Learning Strategies and Instrumental Performance

    ERIC Educational Resources Information Center

    Nielsen, Siw Graabraek

    2008-01-01

    The current study is a survey of the achievement goals of music students and the manner in which their strategies and instrumental performance relate to these goals. In the context of advanced instrumental learning, the rationale for the present study was to contribute to the literature on motivation in music students, and thereby, help teachers…

  10. The use of concrete learning objects taken from the history of mathematics in mathematics education

    NASA Astrophysics Data System (ADS)

    Bütüner, Suphi Önder

    2016-11-01

    This study aimed to reveal the effects of teaching with concrete learning objects taken from the history of mathematics on student achievement. Being a quasi-experimental study, it was conducted with two grade 8 classes in a secondary school located in Trabzon. The experimental group consisted of 27 students and the control group consisted of 25. Data were collected by using worksheets, an achievement exam and written opinion forms. The data from the achievement exam were analysed by using the Mann-Whitney U-test while the data from written opinion forms were analysed through content analysis. The Mann-Whitney U-test results showed a significant difference between the mean ranks of the experimental and control groups in favour of the former. Findings from the written opinion forms suggested that the students found the activities to be instructive and fun, enjoyed using concrete models in their classes, and learned from discovering the rules. It was also found that students had previously not engaged in similar activities and had only experienced the history of mathematics through the life stories and works of mathematicians and the representation of ancient numbers at the beginning of each unit.

  11. The Effects of Controversy, Concurrence Seeking, and Individualistic Learning on Achievement and Attitude Change.

    ERIC Educational Resources Information Center

    Johnson, Roger; And Others

    1985-01-01

    Compared effects of cooperative learning activities (with and without structured controversy) and individualistic learning activities on the achievement and attitudes of fifth graders (N=84) toward wolves. Results show that cooperative-controversy resulted in the highest achievement, greatest motivation to learn about wolves, and more positive…

  12. Learning nanotechnology with texts and comics: the impacts on students of different achievement levels

    NASA Astrophysics Data System (ADS)

    Lin, Shu-Fen; Lin, Huann-shyang

    2016-05-01

    Comics are popular with adolescents because of their features of humor, narrative, and visual imagery. The purposes of this study were to examine the learning outcomes and emotional perceptions of reading a science comic book and a science text booklet for students of different levels of achievement, and to explore the main factors of the two media which attract high-school students to learn science. A mixed-method quasi-experimental design was adopted. The participants were 697 grade ten students from eight schools with different levels of academic achievement. Two similar classes in each of the eight schools were assigned as the comic group or the text group. The results indicated that the science comic book benefited medium achievers more than the science text booklet did, but the contrary result was found for the high achievers. In comparison, the two media benefited the low achievers equally, but both had only a limited effect due to the students' lack of prior knowledge. We conclude four kinds of evidence, including perceived difficulty of comprehension, reasons for interest/disinterest, emotional perceptions of learning science, and learning time, to support the phenomenon of the learning benefit of media specific to certain achievers' science learning.

  13. Effective Learning: A Case Study of the Learning Strategies Used by a Gifted High Achiever in Learning Science

    ERIC Educational Resources Information Center

    Stott, Angela; Hobden, Paul A.

    2016-01-01

    This article describes a case study of a gifted high achiever in learning science. This learner was selected on the assumption that drawing attention to the characteristics of a successful learner may improve learning effectiveness of less successful learners. The first author taught the gifted learner and collected data through participant…

  14. Exploring the Complex Relations between Achievement Emotions and Self-Regulated Learning Behaviors in Online Learning

    ERIC Educational Resources Information Center

    Artino, Anthony R., Jr.; Jones, Kenneth D., II

    2012-01-01

    Online learning continues to grow, but there is limited empirical research on the personal factors that influence success in online contexts. This investigation addresses this research gap by exploring the relations between several discrete achievement-related emotions (boredom, frustration, and enjoyment) and self-regulated learning behaviors…

  15. The ambiguous and bewitching power of knowledge, skills and attitudes leads to confusing statements of learning objectives.

    PubMed

    Guilbert, J-J

    2002-01-01

    The words "knowledge", "skills" and "attitudes" are given different meanings by health personnel when discussing educational issues. Ambiguity is known as a handicap to efficient communication. In the design of a curriculum the quality of the definition of learning objectives plays a fundamental role. If learning objectives lack clarity, learners and teachers will face operational difficulties. As Robert Mager said, "If you are not certain of where you are going you may very well end up somewhere else and not even know it". Knowledge is not only memory of facts but what you do with it. The complexity of human behaviour should not be underestimated. This is why educational objectives need active non-ambiguous verbs in order to achieve better communication between teachers and learners and to assess that complexity. This is why I suggest using the expression intellectual skill (or competence) as meaning "a rational decision or act". Sensomotor skill (or competence) would replace "skills" as presently used and cover only "acts which require a neuromuscular coordination". Interpersonal communication skill (or competence) would replace "attitude(s)" and be limited to "verbal and non-verbal relation between persons". As the level of validity of assessment of learners' competencies is linked to the clarity of learning objectives, it is hoped that the above suggestions will raise the overall level of validity of the evaluation system. This is why it is important that everybody understands, in the same manner, the meaning of a learning objective. It will help learners to focus their learning efforts on the right target. It will help teachers to ensure the relevance to health needs of their teaching and the validity of assessment instruments. In both cases it will be beneficial to the health of the population.

  16. Learning from Objects: A Future for 21st Century Urban Arts Education

    ERIC Educational Resources Information Center

    Lasky, Dorothea

    2009-01-01

    In this technological age, where mind and body are increasingly disconnected in the classroom, object-based learning--along with strong museum-school partnerships--provide many benefits for student learning. In this article, the author first outlines some of the special mind-body connections that object-based learning in museums affords learners…

  17. Neural Dynamics of Object-Based Multifocal Visual Spatial Attention and Priming: Object Cueing, Useful-Field-of-View, and Crowding

    ERIC Educational Resources Information Center

    Foley, Nicholas C.; Grossberg, Stephen; Mingolla, Ennio

    2012-01-01

    How are spatial and object attention coordinated to achieve rapid object learning and recognition during eye movement search? How do prefrontal priming and parietal spatial mechanisms interact to determine the reaction time costs of intra-object attention shifts, inter-object attention shifts, and shifts between visible objects and covertly cued…

  18. FILILAB: Creation and Use of a Learning Object Repository for EFL

    ERIC Educational Resources Information Center

    Litzler, Mary Frances; Garcia Laborda, Jesus; Halbach, Ana

    2012-01-01

    Background: Students at the Universidad de Alcala need batteries of learning objects and exercises. Although student textbooks tend to include a wide range of additional exercises, students in advanced linguistics and language courses require learning objects to obtain additional practice. Online repositories offer excellent opportunities for…

  19. The Effect of Graphical Representation on the Learner's Learning Interest and Achievement in Multimedia Learning

    ERIC Educational Resources Information Center

    Park, Sanghoon; Lim, Jung

    2004-01-01

    The purpose of this paper was to investigate the effects of different types of visual illustrations on learner's learning interest, motivation and achievement, especially in multimedia learning. The participants were drawn from two classes of an "Introduction to Educational Technology" course and randomly assigned to one of the three…

  20. Online Object Tracking, Learning and Parsing with And-Or Graphs.

    PubMed

    Wu, Tianfu; Lu, Yang; Zhu, Song-Chun

    2017-12-01

    This paper presents a method, called AOGTracker, for simultaneously tracking, learning and parsing (TLP) of unknown objects in video sequences with a hierarchical and compositional And-Or graph (AOG) representation. The TLP method is formulated in the Bayesian framework with a spatial and a temporal dynamic programming (DP) algorithms inferring object bounding boxes on-the-fly. During online learning, the AOG is discriminatively learned using latent SVM [1] to account for appearance (e.g., lighting and partial occlusion) and structural (e.g., different poses and viewpoints) variations of a tracked object, as well as distractors (e.g., similar objects) in background. Three key issues in online inference and learning are addressed: (i) maintaining purity of positive and negative examples collected online, (ii) controling model complexity in latent structure learning, and (iii) identifying critical moments to re-learn the structure of AOG based on its intrackability. The intrackability measures uncertainty of an AOG based on its score maps in a frame. In experiments, our AOGTracker is tested on two popular tracking benchmarks with the same parameter setting: the TB-100/50/CVPR2013 benchmarks  , [3] , and the VOT benchmarks [4] -VOT 2013, 2014, 2015 and TIR2015 (thermal imagery tracking). In the former, our AOGTracker outperforms state-of-the-art tracking algorithms including two trackers based on deep convolutional network   [5] , [6] . In the latter, our AOGTracker outperforms all other trackers in VOT2013 and is comparable to the state-of-the-art methods in VOT2014, 2015 and TIR2015.

  1. The Relationship between Learning Style, Test Anxiety and Academic Achievement

    ERIC Educational Resources Information Center

    Yazici, Kubilay

    2017-01-01

    This study aimed to investigate the relationship between social studies pre-service teachers' (SSPTs) learning style, test anxiety and academic achievement. A total of 315 SSPTs participated in the study. Data were collected using Turkish versions of Grasha-Reichmann learning style scale (GRLSS) and test anxiety scale (TAS) by Spielberger.…

  2. View-Invariant Object Category Learning, Recognition, and Search: How Spatial and Object Attention are Coordinated Using Surface-Based Attentional Shrouds

    ERIC Educational Resources Information Center

    Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio

    2009-01-01

    How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified…

  3. Dental Students' Educational Achievement in Relation to Their Learning Styles: A Cross-Sectional Study in Iran.

    PubMed

    Hosseini, Seyed Masoud; Amery, Hamideh; Emadzadeh, Ali; Babazadeh, Saber

    2015-02-24

    In recent decades, many studies have been carried out on the importance of Kolb experiential learning theory (ELT) in teaching-learning processes and its effect on learning outcomes. However, some experts have criticized the Kolb theory and argue that there are some ambiguities on the validity of the theory as an important predictor of achievement. This study has been carried out on dental students' educational achievement in relation to their dominant learning styles based on Kolb theory in Mashhad University of Medical Sciences (Iran). In a cross sectional study, Kolb Learning Style Inventory (LSI Ver. 3.1) as well as a questionnaire containing students' demographic data, academic achievement marks including grade point average (GPA), theoretical and practical courses marks, and the comprehensive basic sciences exam (CBSE) scores were administered on a purposive sample of 162 dental students who had passed their comprehensive basic sciences exam. Educational achievement data were analyzed in relation to students' dominant learning styles, using descriptive and analytical statistics including χ2, Kruskal-Wallis and two-way ANOVA tests. The dominant learning styles of students were Assimilating (53.1%), Converging (24.1%), Diverging (14.2%) and Accommodating (8.6%). Although, the students with Assimilating and Converging learning styles had a better performance on their educational achievement, there was no significant relationship between educational achievement and dominant learning style (P≥0.05). Findings support that the dominant learning style is not exclusively an essential factor to predict educational achievement. Rather, it shows learning preferences of students that may be considered in designing learning opportunities by the teachers.

  4. Learning and Forgetting New Names and Objects in MCI and AD

    ERIC Educational Resources Information Center

    Gronholm-Nyman, Petra; Rinne, Juha O.; Laine, Matti

    2010-01-01

    We studied how subjects with mild cognitive impairment (MCI), early Alzheimer's disease (AD) and age-matched controls learned and maintained the names of unfamiliar objects that were trained with or without semantic support (object definitions). Naming performance, phonological cueing, incidental learning of the definitions and recognition of the…

  5. Roles of Parents and Annotation Sharing in Children's Learning Behavior and Achievement Using E-Readers

    ERIC Educational Resources Information Center

    Hwang, Wu-Yuin; Liu, Yi-Fan; Chen, Hon-Ren; Huang, Jian-Wun; Li, Jin-Yi

    2015-01-01

    Although previous studies have highlighted the advantages of using e-books for learning, most have compared learning achieved with traditional textbooks with that achieved with e-books in a classroom situation. These studies focused on individual learning instead of on interactions among learners, learning behavior using ebooks after school, and…

  6. Collaborative Production of Learning Objects on French Literary Works Using the LOC Software

    ERIC Educational Resources Information Center

    Penman, Christine

    2015-01-01

    This case study situates the collaborative design of learning objects (interactive online learning material) using the LOC (Learning Object Creator) software in the context of language activities external to the core learning activities of language students at a UK university. It describes the creative and pedagogical processes leading to the…

  7. Applying machine learning classification techniques to automate sky object cataloguing

    NASA Astrophysics Data System (ADS)

    Fayyad, Usama M.; Doyle, Richard J.; Weir, W. Nick; Djorgovski, Stanislav

    1993-08-01

    We describe the application of an Artificial Intelligence machine learning techniques to the development of an automated tool for the reduction of a large scientific data set. The 2nd Mt. Palomar Northern Sky Survey is nearly completed. This survey provides comprehensive coverage of the northern celestial hemisphere in the form of photographic plates. The plates are being transformed into digitized images whose quality will probably not be surpassed in the next ten to twenty years. The images are expected to contain on the order of 107 galaxies and 108 stars. Astronomers wish to determine which of these sky objects belong to various classes of galaxies and stars. Unfortunately, the size of this data set precludes analysis in an exclusively manual fashion. Our approach is to develop a software system which integrates the functions of independently developed techniques for image processing and data classification. Digitized sky images are passed through image processing routines to identify sky objects and to extract a set of features for each object. These routines are used to help select a useful set of attributes for classifying sky objects. Then GID3 (Generalized ID3) and O-B Tree, two inductive learning techniques, learns classification decision trees from examples. These classifiers will then be applied to new data. These developmnent process is highly interactive, with astronomer input playing a vital role. Astronomers refine the feature set used to construct sky object descriptions, and evaluate the performance of the automated classification technique on new data. This paper gives an overview of the machine learning techniques with an emphasis on their general applicability, describes the details of our specific application, and reports the initial encouraging results. The results indicate that our machine learning approach is well-suited to the problem. The primary benefit of the approach is increased data reduction throughput. Another benefit is

  8. Building Communities for the Exchange of Learning Objects: Theoretical Foundations and Requirements

    ERIC Educational Resources Information Center

    Koper, Rob; Pannekeet, Kees; Hendriks, Maaike; Hummel, Hans

    2004-01-01

    In order to reduce overall costs of developing high-quality digital courses (including both the content, and the learning and teaching activities), the exchange of learning objects has been recognized as a promising solution. This article makes an inventory of the issues involved in the exchange of learning objects within a community. It explores…

  9. An Examination of Achievement Goals in Learning: A Quasi-Quantitative Approach

    ERIC Educational Resources Information Center

    Phan, Huy P.

    2012-01-01

    Introduction: The achievement goals framework has been researched and used to explain and account for individuals' learning and academic achievements. Over the past three decades, progress has been made in the conceptualizations and research development of different possible theoretical models of achievement goals. Notably, in this study, we…

  10. Informal Science Learning through Inquiry: Effects on Preschool Students' Achievement in Early Science Learning

    ERIC Educational Resources Information Center

    Samsudin, Mohd Ali; Haniza, Noor Hasyimah; Ismail, Juliah; Abd-Talib, Corrienna

    2015-01-01

    This study was undertaken to explore the effects of informal science learning outside the classroom on preschool students' achievement in the Early Science learning topic (plant-related topics that presented concepts about tree leaves, height and roots) using an inquiry method. A sample of 64 preschool students was selected using purposive…

  11. Effect of Motivational Scaffolding on E-Learning Environments: Self-Efficacy, Learning Achievement, and Cognitive Style

    ERIC Educational Resources Information Center

    Valencia-Vallejo, Nilson; López-Vargas, Omar; Sanabria-Rodríguez, Luis

    2018-01-01

    The present research studies the effects of motivational scaffolding that favor self-efficacy and improve learning achievement in students with different cognitive styles in the Field Dependence/Independence (FDI) dimension, when they interact in an e-learning environment on mathematics. The research has an experimental design with two groups and…

  12. Fast automated segmentation of multiple objects via spatially weighted shape learning

    NASA Astrophysics Data System (ADS)

    Chandra, Shekhar S.; Dowling, Jason A.; Greer, Peter B.; Martin, Jarad; Wratten, Chris; Pichler, Peter; Fripp, Jurgen; Crozier, Stuart

    2016-11-01

    Active shape models (ASMs) have proved successful in automatic segmentation by using shape and appearance priors in a number of areas such as prostate segmentation, where accurate contouring is important in treatment planning for prostate cancer. The ASM approach however, is heavily reliant on a good initialisation for achieving high segmentation quality. This initialisation often requires algorithms with high computational complexity, such as three dimensional (3D) image registration. In this work, we present a fast, self-initialised ASM approach that simultaneously fits multiple objects hierarchically controlled by spatially weighted shape learning. Prominent objects are targeted initially and spatial weights are progressively adjusted so that the next (more difficult, less visible) object is simultaneously initialised using a series of weighted shape models. The scheme was validated and compared to a multi-atlas approach on 3D magnetic resonance (MR) images of 38 cancer patients and had the same (mean, median, inter-rater) Dice’s similarity coefficients of (0.79, 0.81, 0.85), while having no registration error and a computational time of 12-15 min, nearly an order of magnitude faster than the multi-atlas approach.

  13. Fast automated segmentation of multiple objects via spatially weighted shape learning.

    PubMed

    Chandra, Shekhar S; Dowling, Jason A; Greer, Peter B; Martin, Jarad; Wratten, Chris; Pichler, Peter; Fripp, Jurgen; Crozier, Stuart

    2016-11-21

    Active shape models (ASMs) have proved successful in automatic segmentation by using shape and appearance priors in a number of areas such as prostate segmentation, where accurate contouring is important in treatment planning for prostate cancer. The ASM approach however, is heavily reliant on a good initialisation for achieving high segmentation quality. This initialisation often requires algorithms with high computational complexity, such as three dimensional (3D) image registration. In this work, we present a fast, self-initialised ASM approach that simultaneously fits multiple objects hierarchically controlled by spatially weighted shape learning. Prominent objects are targeted initially and spatial weights are progressively adjusted so that the next (more difficult, less visible) object is simultaneously initialised using a series of weighted shape models. The scheme was validated and compared to a multi-atlas approach on 3D magnetic resonance (MR) images of 38 cancer patients and had the same (mean, median, inter-rater) Dice's similarity coefficients of (0.79, 0.81, 0.85), while having no registration error and a computational time of 12-15 min, nearly an order of magnitude faster than the multi-atlas approach.

  14. Holistic Approach to Learning and Teaching Introductory Object-Oriented Programming

    ERIC Educational Resources Information Center

    Thota, Neena; Whitfield, Richard

    2010-01-01

    This article describes a holistic approach to designing an introductory, object-oriented programming course. The design is grounded in constructivism and pedagogy of phenomenography. We use constructive alignment as the framework to align assessments, learning, and teaching with planned learning outcomes. We plan learning and teaching activities,…

  15. SMS-Based Learning in Tertiary Education: Achievement and Attitudinal Outcomes

    ERIC Educational Resources Information Center

    Katz, Yaacov J.

    2013-01-01

    SMS delivery platforms are being increasingly used at the university level to enhance student achievement as well as traits and attitudes related to the learning process. SMS delivery provides access to learning materials without being limited by space or time and sophisticated technological advances in SMS delivery have led to enhanced learner…

  16. Type of Maternal Object Motion during Synchronous Naming Predicts Preverbal Infants' Learning of Word-Object Relations

    ERIC Educational Resources Information Center

    Matatyaho, Dalit J.; Gogate, Lakshmi J.

    2008-01-01

    Mothers' use of specific types of object motion in synchrony with object naming was examined, along with infants' joint attention to the mother and object, as a predictor of word learning. During a semistructured 3-min play episode, mothers (N = 24) taught the names of 2 toy objects to their preverbal 6- to 8-month-old infants. The episodes were…

  17. Analysis of Learning Achievement and Teacher-Student Interactions in Flipped and Conventional Classrooms

    ERIC Educational Resources Information Center

    Sun, Jerry Chih-Yuan; Wu, Yu-Ting

    2016-01-01

    This study aimed to investigate the effectiveness of two different teaching methods on learning effectiveness. OpenCourseWare was integrated into the flipped classroom model (experimental group) and distance learning (control group). Learning effectiveness encompassed learning achievement, teacher-student interactions, and learning satisfaction.…

  18. Virtual learning object and environment: a concept analysis.

    PubMed

    Salvador, Pétala Tuani Candido de Oliveira; Bezerril, Manacés Dos Santos; Mariz, Camila Maria Santos; Fernandes, Maria Isabel Domingues; Martins, José Carlos Amado; Santos, Viviane Euzébia Pereira

    2017-01-01

    To analyze the concept of virtual learning object and environment according to Rodgers' evolutionary perspective. Descriptive study with a mixed approach, based on the stages proposed by Rodgers in his concept analysis method. Data collection occurred in August 2015 with the search of dissertations and theses in the Bank of Theses of the Coordination for the Improvement of Higher Education Personnel. Quantitative data were analyzed based on simple descriptive statistics and the concepts through lexicographic analysis with support of the IRAMUTEQ software. The sample was made up of 161 studies. The concept of "virtual learning environment" was presented in 99 (61.5%) studies, whereas the concept of "virtual learning object" was presented in only 15 (9.3%) studies. A virtual learning environment includes several and different types of virtual learning objects in a common pedagogical context. Analisar o conceito de objeto e de ambiente virtual de aprendizagem na perspectiva evolucionária de Rodgers. Estudo descritivo, de abordagem mista, realizado a partir das etapas propostas por Rodgers em seu modelo de análise conceitual. A coleta de dados ocorreu em agosto de 2015 com a busca de dissertações e teses no Banco de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. Os dados quantitativos foram analisados a partir de estatística descritiva simples e os conceitos pela análise lexicográfica com suporte do IRAMUTEQ. A amostra é constituída de 161 estudos. O conceito de "ambiente virtual de aprendizagem" foi apresentado em 99 (61,5%) estudos, enquanto o de "objeto virtual de aprendizagem" em apenas 15 (9,3%). Concluiu-se que um ambiente virtual de aprendizagem reúne vários e diferentes tipos de objetos virtuais de aprendizagem em um contexto pedagógico comum.

  19. Learned Helplessness, Test Anxiety, and Academic Achievement: A Longitudinal Analysis.

    ERIC Educational Resources Information Center

    Fincham, Frank D.; And Others

    1989-01-01

    Examines the stability of individual differences in test anxiety and learned helplessness of 82 children in third grade and later in fifth grade. Results indicate that teacher reports of helplessness had the strongest and most consistent relation to concurrent achievement and to achievement test scores two years later. (RJC)

  20. Ego-Motion and Tracking for Continuous Object Learning: A Brief Survey

    DTIC Science & Technology

    2017-09-01

    ARL-TR-8167• SEP 2017 US Army Research Laboratory Ego-motion and Tracking for ContinuousObject Learning: A Brief Survey by Jason Owens and Philip...SEP 2017 US Army Research Laboratory Ego-motion and Tracking for ContinuousObject Learning: A Brief Survey by Jason Owens and Philip OsteenVehicle...

  1. An Assistant for Loading Learning Object Metadata: An Ontology Based Approach

    ERIC Educational Resources Information Center

    Casali, Ana; Deco, Claudia; Romano, Agustín; Tomé, Guillermo

    2013-01-01

    In the last years, the development of different Repositories of Learning Objects has been increased. Users can retrieve these resources for reuse and personalization through searches in web repositories. The importance of high quality metadata is key for a successful retrieval. Learning Objects are described with metadata usually in the standard…

  2. [Digital learning object for diagnostic reasoning in nursing applied to the integumentary system].

    PubMed

    da Costa, Cecília Passos Vaz; Luz, Maria Helena Barros Araújo

    2015-12-01

    To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.

  3. The construction of learning objects on communicable diseases for community health agents.

    PubMed

    Pacheco, Kátia Cilene Ferreira; Azambuja, Marcelo Schenk de; Bonamigo, Andrea Wander

    2018-06-07

    To describe the creation of a learning object about communicable diseases and their identification, monitoring, and prevention for community health agents. The qualitative, exploratory, case study conducted in the North District Management Zone - Baltazar of the Universidade Federal de Ciências da Saúde de Porto Alegre, from October to January 2015 2016. The study had 58 participants and consisted of the stages field research, Bardin's content analysis, and design of the learning object. The profile of the professionals working in the location was established. These agents identified the most commonly found diseases and stressed their needs in relation to a technological resource. The identified needs were considered to define the content and structure the learning object. The learning object is an alternative method for sharing knowledge on communicable diseases. The tool allows the combination of technology with teaching, which makes the learning process and the work of the community health agents more rewarding and productive.

  4. Exploring the Relationships between Learning Styles, Online Participation, Learning Achievement and Course Satisfaction: An Empirical Study of a Blended Learning Course

    ERIC Educational Resources Information Center

    Cheng, Gary; Chau, Juliana

    2016-01-01

    The purpose of this study was twofold: first, to explore the relationship between students' learning styles and their online participation in a blended learning course, and second, to investigate the relationships of students' online participation with their learning achievement and with course satisfaction. A total of 78 undergraduate students…

  5. The Influence of Learning Style on English Learning Achievement Among Undergraduates in Mainland China.

    PubMed

    Huang, Fang; Hoi, Cathy Ka Weng; Teo, Timothy

    2018-03-26

    Learning style is one of the main factors that determines how students learn English and has a significant influence on students' learning strategy selection, which further affects their learning outcomes (Ehrman and Oxford in Mod Lang J 74(3):311-327, 1990; Oxford in Language learning styles and strategies: an overview, 2003. http://web.ntpu.edu.tw/~language/workshop/read2.pdf ). This study examines the learning style preferences of Chinese university students and whether those preferences influence their English achievements. Four hundred undergraduates from one university in eastern mainland China participated in this study. Data from 329 valid questionnaires were analysed. The results revealed that the Chinese university students preferred the visual learning style the most, followed by the auditory and kinaesthetic styles. However, no learning style preference was found to influence the students' English proficiency. Cultural reasons are discussed to explain the findings, which contradict those of previous studies of learning style theories and practices. This study recommends that Chinese scholars consider issues of English teaching and learning in China and to adopt appropriate teaching methods to effectively improve English teaching.

  6. Situational Interest and Academic Achievement in the Active-Learning Classroom

    ERIC Educational Resources Information Center

    Rotgans, Jerome I.; Schmidt, Henk G.

    2011-01-01

    The aim of the present study was to investigate how situational interest develops over time and how it is related to academic achievement in an active-learning classroom. Five measures of situational interest were administered at critical points in time to 69 polytechnic students during a one-day, problem-based learning session. Results revealed…

  7. Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning

    ERIC Educational Resources Information Center

    Niemann, Katja; Wolpers, Martin

    2015-01-01

    In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new…

  8. Exploring the Peer Interaction Effects on Learning Achievement in a Social Learning Platform Based on Social Network Analysis

    ERIC Educational Resources Information Center

    Lin, Yu-Tzu; Chen, Ming-Puu; Chang, Chia-Hu; Chang, Pu-Chen

    2017-01-01

    The benefits of social learning have been recognized by existing research. To explore knowledge distribution in social learning and its effects on learning achievement, we developed a social learning platform and explored students' behaviors of peer interactions by the proposed algorithms based on social network analysis. An empirical study was…

  9. TGT for chemistry learning to enhance students' achievement and critical thinking skills

    NASA Astrophysics Data System (ADS)

    Bolhassan, Norlailatulakma; Taha, Hafsah

    2017-05-01

    The form of cooperative learning known as Teams-Games-Tournament (TGT) in this study favors the use of teams work and learning tools combined with student play and practice to foster students' achievement and critical thinking skills. Using this paradigm, this study incorporates Teams-Games-Tournament and Flash Cards Games Kit during an 8-weeks experimental instruction period that includes 67 Form Four students; 34 students in the experimental group and 33 in the control group. The learning design in experimental group emphasizes scaffolding, guided practices, cooperative learning, and active participation in learning. While the experimental group experienced the TGT approach, the control group encountered the conventional teaching approach of chemistry drills. An achievement chemistry test and Watson Glaser Critical Thinking Appraisal (WGCTA) were used for the pretest and posttest. The finding indicates that TGT learning was more effective than drills in promoting chemistry performance, and the playful competiveness among students promotes students' critical thinking. In addition, TGT cooperative learning also creates an active learning environment in solving problems and discussions among students and teachers.

  10. Effect of Problem-Based Learning on Students' Achievement in Chemistry

    ERIC Educational Resources Information Center

    Aidoo, Benjamin; Boateng, Sampson Kwadwo; Kissi, Philip Siaw; Ofori, Isaac

    2016-01-01

    The study investigated the effect of problem-based learning (PBL) on students' achievement in chemistry. Learners' low achievement in Science in South Africa has been a concern to government, stakeholders, school principals and parents over the years as a result of poor teaching techniques, students' attitudes, lack of teaching and learning…

  11. Inquiry-Based Learning Using Everyday Objects: Hands-On Instructional Strategies That Promote Active Learning in Grades 3-8.

    ERIC Educational Resources Information Center

    Alvarado, Amy Edmonds; Herr, Patricia R.

    This book explores the concept of using everyday objects as a process initiated both by students and teachers, encouraging growth in student observation, inquisitiveness, and reflection in learning. After "Introduction: Welcome to Inquiry-Based Learning using Everyday Objects (Object-Based Inquiry), there are nine chapters in two parts. Part 1,…

  12. Deep Learning through Reusable Learning Objects in an MBA Program

    ERIC Educational Resources Information Center

    Rufer, Rosalyn; Adams, Ruifang Hope

    2013-01-01

    It has well been established that it is important to be able to leverage any organization's processes and core competencies to sustain its competitive advantage. Thus, one learning objective of an online MBA is to teach students how to apply the VRIO (value, rarity, inimitable, operationalized) model, developed by Barney and Hesterly (2006), in…

  13. Cognitive Mechanisms Underlying Achievement Deficits in Children with Mathematical Learning Disability

    ERIC Educational Resources Information Center

    Geary, David C.; Hoard, Mary K.; Byrd-Craven, Jennifer; Nugent, Lara; Numtee, Chattavee

    2007-01-01

    Using strict and lenient mathematics achievement cutoff scores to define a learning disability, respective groups of children who are math disabled (MLD, n = 15) and low achieving (LA, n = 44) were identified. These groups and a group of typically achieving (TA, n = 46) children were administered a battery of mathematical cognition, working…

  14. Implementation of formal learning objectives during a physical medicine and rehabilitation sports medicine rotation.

    PubMed

    Smith, Jay; Laskowski, Edward R; Newcomer-Aney, Karen L; Thompson, Jeffrey M; Schaefer, Michael P; Morfe, Erasmus G

    2005-04-01

    To develop and implement formal learning objectives during a physical medicine and rehabilitation sports medicine rotation and characterize resident experiences with the objectives over a 16-mo period. Prospective, including learning objective development, implementation, and postrotation survey. A total of 69 learning objectives were developed by physical medicine and rehabilitation staff physician consensus, including 39 core objectives. Eighteen residents completed 4-wk sports medicine rotations from January 2003 through April 2004. Residents completed an average of 31 total objectives (45%; range, 3-52), of which 24 (62%; range, 3-35) were core. Residents completed the highest percentage of knee (60%), shoulder (57%), and ankle-foot (57%) objectives and reported that objectives related to these areas were most effective to facilitate learning. In general, residents reported that objective content was good and that the objectives delineated important concepts to learn during the rotation. Seventeen of 18 residents indicated that the objectives should be permanently implemented into the sports rotation and that similar objectives should be developed for other rotations. Based on our experience and the recommendations of residents, the average resident should be able to complete approximately 30 objectives during a typical 4-wk rotation. Successful implementation of specific, consensus-derived learning objectives is possible within the context of a busy clinical practice. Our initial physician staff and resident experience with the objectives suggests that this model may be useful as a supplementary educational tool in physical medicine and rehabilitation residency programs.

  15. Factors Influencing Primary Students' Learning Achievement in Bangladesh

    ERIC Educational Resources Information Center

    Nath, Samir Ranjan

    2012-01-01

    Using "Education Watch" database of 2008, this article explores the factors associated with learning achievement of primary school students in Bangladesh. The sample consists of 7,093 fifth graders (final year of compulsory primary education) from 440 primary schools. Based on nationally adopted competencies for primary education, a…

  16. The Development of the Virtual Learning Media of the Sacred Object Artwork

    ERIC Educational Resources Information Center

    Nuanmeesri, Sumitra; Jamornmongkolpilai, Saran

    2018-01-01

    This research aimed to develop the virtual learning media of the sacred object artwork by applying the concept of the virtual technology in order to publicize knowledge on the cultural wisdom of the sacred object artwork. It was done by designing and developing the virtual learning media of the sacred object artwork for the virtual presentation.…

  17. Category learning increases discriminability of relevant object dimensions in visual cortex.

    PubMed

    Folstein, Jonathan R; Palmeri, Thomas J; Gauthier, Isabel

    2013-04-01

    Learning to categorize objects can transform how they are perceived, causing relevant perceptual dimensions predictive of object category to become enhanced. For example, an expert mycologist might become attuned to species-specific patterns of spacing between mushroom gills but learn to ignore cap textures attributable to varying environmental conditions. These selective changes in perception can persist beyond the act of categorizing objects and influence our ability to discriminate between them. Using functional magnetic resonance imaging adaptation, we demonstrate that such category-specific perceptual enhancements are associated with changes in the neural discriminability of object representations in visual cortex. Regions within the anterior fusiform gyrus became more sensitive to small variations in shape that were relevant during prior category learning. In addition, extrastriate occipital areas showed heightened sensitivity to small variations in shape that spanned the category boundary. Visual representations in cortex, just like our perception, are sensitive to an object's history of categorization.

  18. The Effect of Teacher Performance in Implementation of The 2013 Curriculum Toward Chemistry Learning Achievement

    NASA Astrophysics Data System (ADS)

    Dewi, L. P.; Djohar, A.

    2018-04-01

    This research is a study about implementation of the 2013 Curriculum on Chemistry subject. This study aims to determine the effect of teacher performance toward chemistry learning achievement. The research design involves the independent variable, namely the performance of Chemistry teacher, and the dependent variable that is Chemistry learning achievement which includes the achievement in knowledge and skill domain. The subject of this research are Chemistry teachers and High School students in Bandung City. The research data is obtained from questionnaire about teacher performance assessed by student and Chemistry learning achievement from the students’ report. Data were analyzed by using MANOVA test. The result of multivariate significance test shows that there is a significant effect of teacher performance toward Chemistry learning achievement in knowledge and skill domain with medium effect size.

  19. A Methodology for Developing Learning Objects for Web Course Delivery

    ERIC Educational Resources Information Center

    Stauffer, Karen; Lin, Fuhua; Koole, Marguerite

    2008-01-01

    This article presents a methodology for developing learning objects for web-based courses using the IMS Learning Design (IMS LD) specification. We first investigated the IMS LD specification, determining how to use it with online courses and the student delivery model, and then applied this to a Unit of Learning (UOL) for online computer science…

  20. The Effect of Scaffolded Think-Group-Share Learning on Indonesian Elementary Schooler Satisfaction and Learning Achievement in English Classes

    ERIC Educational Resources Information Center

    Mantik, Octavia; Choi, Hee Jun

    2017-01-01

    The purpose of this study was to examine whether or not "Scaffolded Think-Group-Share" learning can have a positive effect on student satisfaction and learning achievement in English classes of an Indonesian elementary school. To achieve this purpose, this study compared the findings from the two dependent variables (i.e., student…

  1. Attribute conjunctions and the part configuration advantage in object category learning.

    PubMed

    Saiki, J; Hummel, J E

    1996-07-01

    Five experiments demonstrated that in object category learning people are particularly sensitive to conjunctions of part shapes and relative locations. Participants learned categories defined by a part's shape and color (part-color conjunctions) or by a part's shape and its location relative to another part (part-location conjunctions). The statistical properties of the categories were identical across these conditions, as were the salience of color and relative location. Participants were better at classifying objects defined by part-location conjunctions than objects defined by part-color conjunctions. Subsequent experiments revealed that this effect was not due to the specific color manipulation or the role of location per se. These results suggest that the shape bias in object categorization is at least partly due to sensitivity to part-location conjunctions and suggest a new processing constraint on category learning.

  2. Relationships among constructivist learning environment perceptions, motivational beliefs, self-regulation and science achievement

    NASA Astrophysics Data System (ADS)

    Kingir, Sevgi; Tas, Yasemin; Gok, Gulsum; Sungur Vural, Semra

    2013-11-01

    Background. There are attempts to integrate learning environment research with motivation and self-regulation research that considers social context influences an individual's motivation, self-regulation and, in turn, academic performance. Purpose. This study explored the relationships among constructivist learning environment perception variables (personal relevance, uncertainty, shared control, critical voice, student negotiation), motivational beliefs (self-efficacy, intrinsic interest, goal orientation), self-regulation, and science achievement. Sample. The sample for this study comprised 802 Grade 8 students from 14 public middle schools in a district of Ankara in Turkey. Design and methods. Students were administered 4 instruments: Constructivist Learning Environment Survey, Goal Achievement Questionnaire, Motivated Strategies for Learning Questionnaire, and Science Achievement Test. LISREL 8.7 program with SIMPLIS programming language was used to test the conceptual model. Providing appropriate fit indices for the proposed model, the standardized path coefficients for direct effects were examined. Results. At least one dimension of the constructivist learning environment was associated with students' intrinsic interest, goal orientation, self-efficacy, self-regulation, and science achievement. Self-efficacy emerged as the strongest predictor of both mastery and performance avoidance goals rather than the approach goals. Intrinsic value was found to be significantly linked to science achievement through its effect on self-regulation. The relationships between self-efficacy and self-regulation and between goal orientation and science achievement were not significant. Conclusion. In a classroom environment supporting student autonomy and control, students tend to develop higher interest in tasks, use more self-regulatory strategies, and demonstrate higher academic performance. Science teachers are highly recommended to consider these findings when designing

  3. The implementation of discovery learning model based on lesson study to increase student's achievement in colloid

    NASA Astrophysics Data System (ADS)

    Suyanti, Retno Dwi; Purba, Deby Monika

    2017-03-01

    The objectives of this research are to get the increase student's achievement on the discovery learning model based on lesson study. Beside of that, this research also conducted to know the cognitive aspect. This research was done in three school that are SMA N 3 Medan. Population is all the students in SMA N 11 Medan which taken by purposive random sampling. The research instruments are achievement test instruments that have been validated. The research data analyzed by statistic using Ms Excell. The result data shows that the student's achievement taught by discovery learning model based on Lesson study higher than the student's achievement taught by direct instructional method. It can be seen from the average of gain and also proved with t-test, the normalized gain in experimental class of SMA N 11 is (0.74±0.12) and control class (0.45±0.12), at significant level α = 0.05, Ha is received and Ho is refused where tcount>ttable in SMA N 11 (9.81>1,66). Then get the improvement cognitive aspect from three of school is C2 where SMA N 11 is 0.84(high). Then the observation sheet result of lesson study from SMA N 11 92 % of student working together while 67% less in active using media.

  4. Relationships between Learning Approach, Procrastination and Academic Achievement amongst First-Year University Students

    ERIC Educational Resources Information Center

    Saele, Rannveig Grøm; Dahl, Tove Irene; Sørlie, Tore; Friborg, Oddgeir

    2017-01-01

    Individual differences in student learning influence academic performance, and two aspects influencing the learning process are the particular learning approach the students use and procrastination behaviour. We examined the relationships between learning approaches, procrastination and academic achievement (measured 1 year later as the grade…

  5. The Effect of Manipulatives on Mathematics Achievement across Different Learning Styles

    ERIC Educational Resources Information Center

    Kablan, Zeynel

    2016-01-01

    The current study investigates the influence of manipulatives used in combination with traditional approaches to mathematics education and how varying amounts of time spent on manipulative use influence student achievement across different learning styles. Three learning environments were created that incorporated varying proportions of…

  6. Effects of an Intervention on Math Achievement for Students with Learning Disabilities

    ERIC Educational Resources Information Center

    Kitchens, Vivian D.; Deris, Aaron R.; Simon, Marilyn K.

    2016-01-01

    Students with learning disabilities score lower than other at-risk groups on state standardized assessment tests. Educators are searching for intervention strategies to improve math achievement for students with learning disabilities. The study examined the effects of a mathematics intervention known as Cover, Copy, and Compare for learning basic…

  7. A Data Mining Approach to Improve Re-Accessibility and Delivery of Learning Knowledge Objects

    ERIC Educational Resources Information Center

    Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay

    2014-01-01

    Today Learning Management Systems (LMS) have become an integral part of learning mechanism of both learning institutes and industry. A Learning Object (LO) can be one of the atomic components of LMS. A large amount of research is conducted into identifying benchmarks for creating Learning Objects. Some of the major concerns associated with LO are…

  8. Conversation and Object Manipulation Influence Children's Learning in a Museum.

    PubMed

    Jant, Erin A; Haden, Catherine A; Uttal, David H; Babcock, Elizabeth

    2014-01-01

    The effects of parent-child conversation and object manipulation on children's learning, transfer of knowledge, and memory were examined in two museum exhibits and conversations recorded at home. Seventy-eight children (Mage  = 4.9) and their parents were randomly assigned to receive conversation cards featuring elaborative questions about exhibit objects, the physical objects themselves, both, or neither, before their exhibit visits. Dyads who received the cards engaged in more elaborative talk and joint nonverbal activities with objects in the first exhibit than those who did not. Dyads who received objects engaged in the most parent-child joint talk. Results also illustrate transfer of information across exhibits and from museum to home. Implications for understanding mechanisms of informal learning and transfer are discussed. © 2014 The Authors. Child Development © 2014 Society for Research in Child Development, Inc.

  9. Methodology for Evaluating Quality and Reusability of Learning Objects

    ERIC Educational Resources Information Center

    Kurilovas, Eugenijus; Bireniene, Virginija; Serikoviene, Silvija

    2011-01-01

    The aim of the paper is to present the scientific model and several methods for the expert evaluation of quality of learning objects (LOs) paying especial attention to LOs reusability level. The activities of eQNet Quality Network for a European Learning Resource Exchange (LRE) aimed to improve reusability of LOs of European Schoolnet's LRE…

  10. An OWL Ontology for Metadata of Interactive Learning Objects

    ERIC Educational Resources Information Center

    Luz, Bruno N.; Santos, Rafael; Alves, Bruno; Areão, Andreza S.; Yokoyama, Marcos H.; Guimarães, Marcelo P.

    2015-01-01

    The main purpose of this paper is to present the importance of Interactive Learning Objects (ILO) to improve the teaching-learning process by assuring a constant interaction among teachers and students, which in turn, allows students to be constantly supported by the teacher. The paper describes the ontology that defines the ILO available on the…

  11. Changes in Visual Object Recognition Precede the Shape Bias in Early Noun Learning

    PubMed Central

    Yee, Meagan; Jones, Susan S.; Smith, Linda B.

    2012-01-01

    Two of the most formidable skills that characterize human beings are language and our prowess in visual object recognition. They may also be developmentally intertwined. Two experiments, a large sample cross-sectional study and a smaller sample 6-month longitudinal study of 18- to 24-month-olds, tested a hypothesized developmental link between changes in visual object representation and noun learning. Previous findings in visual object recognition indicate that children’s ability to recognize common basic level categories from sparse structural shape representations of object shape emerges between the ages of 18 and 24 months, is related to noun vocabulary size, and is lacking in children with language delay. Other research shows in artificial noun learning tasks that during this same developmental period, young children systematically generalize object names by shape, that this shape bias predicts future noun learning, and is lacking in children with language delay. The two experiments examine the developmental relation between visual object recognition and the shape bias for the first time. The results show that developmental changes in visual object recognition systematically precede the emergence of the shape bias. The results suggest a developmental pathway in which early changes in visual object recognition that are themselves linked to category learning enable the discovery of higher-order regularities in category structure and thus the shape bias in novel noun learning tasks. The proposed developmental pathway has implications for understanding the role of specific experience in the development of both visual object recognition and the shape bias in early noun learning. PMID:23227015

  12. Learning object-to-class kernels for scene classification.

    PubMed

    Zhang, Lei; Zhen, Xiantong; Shao, Ling

    2014-08-01

    High-level image representations have drawn increasing attention in visual recognition, e.g., scene classification, since the invention of the object bank. The object bank represents an image as a response map of a large number of pretrained object detectors and has achieved superior performance for visual recognition. In this paper, based on the object bank representation, we propose the object-to-class (O2C) distances to model scene images. In particular, four variants of O2C distances are presented, and with the O2C distances, we can represent the images using the object bank by lower-dimensional but more discriminative spaces, called distance spaces, which are spanned by the O2C distances. Due to the explicit computation of O2C distances based on the object bank, the obtained representations can possess more semantic meanings. To combine the discriminant ability of the O2C distances to all scene classes, we further propose to kernalize the distance representation for the final classification. We have conducted extensive experiments on four benchmark data sets, UIUC-Sports, Scene-15, MIT Indoor, and Caltech-101, which demonstrate that the proposed approaches can significantly improve the original object bank approach and achieve the state-of-the-art performance.

  13. A Practice-Oriented Review of Learning Objects

    ERIC Educational Resources Information Center

    Sinclair, J.; Joy, M.; Yau, J. Y.-K.; Hagan, S.

    2013-01-01

    Reusable learning objects support packaging of educational materials allowing their discovery and reuse. Open educational resources emphasize the need for open licensing and promote sharing and community involvement. For both teachers and learners, finding appropriate tried and tested resources on a topic of interest and being able to incorporate…

  14. The Effect of Mobile Learning Applications on Students' Academic Achievement and Attitudes toward Mobile Learning

    ERIC Educational Resources Information Center

    Demir, Kadir; Akpinar, Ercan

    2018-01-01

    This study examines the effect of mobile learning applications on undergraduate students' academic achievement, attitudes toward mobile learning and animation development levels. Quasi-experimental design was used in the study. Participants of the study were students of the Buca Faculty of Education at Dokuz Eylul University in Turkey. The…

  15. Effect of tDCS on task relevant and irrelevant perceptual learning of complex objects.

    PubMed

    Van Meel, Chayenne; Daniels, Nicky; de Beeck, Hans Op; Baeck, Annelies

    2016-01-01

    During perceptual learning the visual representations in the brain are altered, but these changes' causal role has not yet been fully characterized. We used transcranial direct current stimulation (tDCS) to investigate the role of higher visual regions in lateral occipital cortex (LO) in perceptual learning with complex objects. We also investigated whether object learning is dependent on the relevance of the objects for the learning task. Participants were trained in two tasks: object recognition using a backward masking paradigm and an orientation judgment task. During both tasks, an object with a red line on top of it were presented in each trial. The crucial difference between both tasks was the relevance of the object: the object was relevant for the object recognition task, but not for the orientation judgment task. During training, half of the participants received anodal tDCS stimulation targeted at the lateral occipital cortex (LO). Afterwards, participants were tested on how well they recognized the trained objects, the irrelevant objects presented during the orientation judgment task and a set of completely new objects. Participants stimulated with tDCS during training showed larger improvements of performance compared to participants in the sham condition. No learning effect was found for the objects presented during the orientation judgment task. To conclude, this study suggests a causal role of LO in relevant object learning, but given the rather low spatial resolution of tDCS, more research on the specificity of this effect is needed. Further, mere exposure is not sufficient to train object recognition in our paradigm.

  16. Maintenance and Exchange of Learning Objects in a Web Services Based e-Learning System

    ERIC Educational Resources Information Center

    Vossen, Gottfried; Westerkamp, Peter

    2004-01-01

    "Web services" enable partners to exploit applications via the Internet. Individual services can be composed to build new and more complex ones with additional and more comprehensive functionality. In this paper, we apply the Web service paradigm to electronic learning, and show how to exchange and maintain learning objects is a…

  17. Learning Objects and Learning Content Management Systems in Engineering Education: Implications of New Trends

    ERIC Educational Resources Information Center

    Sjoer, Ellen; Dopper, Sofia

    2006-01-01

    Learning objects and learning content management systems are considered to be "the next wave in engineering education". The results of experiments with these new trends in ICT in engineering education are described in this paper. The prospects were examined and the concepts of reusability of content for teachers and for personalized…

  18. Student Learning Approaches in the UAE: The Case for the Achieving Domain

    ERIC Educational Resources Information Center

    McLaughlin, James; Durrant, Philip

    2017-01-01

    The deep versus surface learning approach dichotomy has dominated recent research in student learning approach dimensions. However, the achievement dimension may differ in importance in non-Western and vocational tertiary settings. The aim was to assess how Emirati tertiary students could be characterized in terms of their learning approaches. The…

  19. Understanding Community College Students' Learning Styles and the Link to Academic Achievement

    ERIC Educational Resources Information Center

    Peters, Kathleen

    2012-01-01

    Learning styles have been an area of interest in educational psychology for many decades. However, community college students have been overlooked in learning styles research. To enhance teacher efficacy and student success, it is important to continue to evaluate the relationship between learning styles and academic achievement. The purpose of…

  20. The Effect of Learning Based on Technology Model and Assessment Technique toward Thermodynamic Learning Achievement

    NASA Astrophysics Data System (ADS)

    Makahinda, T.

    2018-02-01

    The purpose of this research is to find out the effect of learning model based on technology and assessment technique toward thermodynamic achievement by controlling students intelligence. This research is an experimental research. The sample is taken through cluster random sampling with the total respondent of 80 students. The result of the research shows that the result of learning of thermodynamics of students who taught the learning model of environmental utilization is higher than the learning result of student thermodynamics taught by simulation animation, after controlling student intelligence. There is influence of student interaction, and the subject between models of technology-based learning with assessment technique to student learning result of Thermodynamics, after controlling student intelligence. Based on the finding in the lecture then should be used a thermodynamic model of the learning environment with the use of project assessment technique.

  1. Cognitive domains in the dog: independence of working memory from object learning, selective attention, and motor learning.

    PubMed

    Zanghi, Brian M; Araujo, Joseph; Milgram, Norton W

    2015-05-01

    Cognition in dogs, like in humans, is not a unitary process. Some functions, such as simple discrimination learning, are relatively insensitive to age; others, such as visuospatial learning can provide behavioral biomarkers of age. The present experiment sought to further establish the relationship between various cognitive domains, namely visuospatial memory, object discrimination learning (ODL), and selective attention (SA). In addition, we also set up a task to assess motor learning (ML). Thirty-six beagles (9-16 years) performed a variable delay non-matching to position (vDNMP) task using two objects with 20- and 90-s delay and were divided into three groups based on a combined score (HMP = 88-93 % accuracy [N = 12]; MMP = 79-86 % accuracy [N = 12]; LMP = 61-78 % accuracy [N = 12]). Variable object oddity task was used to measure ODL (correct or incorrect object) and SA (0-3 incorrect distractor objects with same [SA-same] or different [SA-diff] correct object as ODL). ML involved reaching various distances (0-15 cm). Age did not differ between memory groups (mean 11.6 years). ODL (ANOVA P = 0.43), or SA-same and SA-different (ANOVA P = 0.96), performance did not differ between the three vDNMP groups, although mean errors during ODL was numerically higher for LMP dogs. Errors increased (P < 0.001) for all dogs with increasing number of distractor objects during both SA tasks. vDNMP groups remained different (ANOVA P < 0.001) when re-tested with vDNMP task 42 days later. Maximum ML distance did not differ between vDNMP groups (ANOVA P = 0.96). Impaired short-term memory performance in aged dogs does not appear to predict performance of cognitive domains associated with object learning, SA, or maximum ML distance.

  2. Application of Multi-Objective Human Learning Optimization Method to Solve AC/DC Multi-Objective Optimal Power Flow Problem

    NASA Astrophysics Data System (ADS)

    Cao, Jia; Yan, Zheng; He, Guangyu

    2016-06-01

    This paper introduces an efficient algorithm, multi-objective human learning optimization method (MOHLO), to solve AC/DC multi-objective optimal power flow problem (MOPF). Firstly, the model of AC/DC MOPF including wind farms is constructed, where includes three objective functions, operating cost, power loss, and pollutant emission. Combining the non-dominated sorting technique and the crowding distance index, the MOHLO method can be derived, which involves individual learning operator, social learning operator, random exploration learning operator and adaptive strategies. Both the proposed MOHLO method and non-dominated sorting genetic algorithm II (NSGAII) are tested on an improved IEEE 30-bus AC/DC hybrid system. Simulation results show that MOHLO method has excellent search efficiency and the powerful ability of searching optimal. Above all, MOHLO method can obtain more complete pareto front than that by NSGAII method. However, how to choose the optimal solution from pareto front depends mainly on the decision makers who stand from the economic point of view or from the energy saving and emission reduction point of view.

  3. An Investigation of Learning Styles Influencing Mathematics Achievement of Seventh-Grade Students

    ERIC Educational Resources Information Center

    Sriphai, Sunan; Damrongpanit, Suntonrapot; Sakulku, Jaruwan

    2011-01-01

    This study aims to investigate the effect of learning styles, as well as compare the effect of two different variable structure models of learning styles on factors influencing mathematics achievement. The research sample was made up of 508 seventh-grade students. The findings were that the model including learning styles as factors influencing…

  4. Leveraging the Power of Experiential Learning to Achieve Higher-Order Proficiencies

    ERIC Educational Resources Information Center

    Henderson, Amy

    2018-01-01

    Although experiential learning approaches, such as service-learning, have been shown to increase student motivation and academic achievement, faculty concerns about the costs of developing and implementing such courses have limited their adoption within economics. One cost that can be eliminated is the opportunity cost typically associated with…

  5. Dogs’ Body Language Relevant to Learning Achievement

    PubMed Central

    Hasegawa, Masashi; Ohtani, Nobuyo; Ohta, Mitsuaki

    2014-01-01

    Simple Summary For humans and dogs to live together amiably, dog training is required, and a lack of obedience training is significantly related to the prevalence of certain behavioral problems. To train efficiently, it is important that the trainer/owner ascertains the learning level of the dog. Understanding the dog’s body language helps humans understand the animal’s emotions. This study evaluated the posture of certain dog body parts during operant conditioning. Our findings suggest that certain postures were related to the dog’s learning level during operant conditioning. Being aware of these postures could be helpful to understand canine emotion during learning. Abstract The facial expressions and body postures of dogs can give helpful information about their moods and emotional states. People can more effectively obedience train their dogs if we can identify the mannerisms associated with learning in dogs. The aim of this study was to clarify the dog’s body language during operant conditioning to predict achievement in the test that followed by measuring the duration of behaviors. Forty-six untrained dogs (17 males and 26 females) of various breeds were used. Each session consisted of 5 minutes of training with a treat reward followed by 3 minutes of rest and finally an operant conditioning test that consisted of 20 “hand motion” cues. The operant tests were conducted a total of nine times over three consecutive days, and the success numbers were counted. The duration of the dog’s behavior, focusing on the dog’s eyes, mouth, ears, tail and tail-wagging, was recorded during the operant conditioning sessions before the test. Particular behaviors, including wide-eyes, closed mouth, erect ears, and forward and high tail carriage, without wagging or with short and quick wagging, related to high achievement results. It is concluded that dogs' body language during operant conditioning was related to their success rate. PMID:26479883

  6. Improving Mathematics Achievement of Indonesian 5th Grade Students through Guided Discovery Learning

    ERIC Educational Resources Information Center

    Yurniwati; Hanum, Latipa

    2017-01-01

    This research aims to find information about the improvement of mathematics achievement of grade five student through guided discovery learning. This research method is classroom action research using Kemmis and Taggart model consists of three cycles. Data used in this study is learning process and learning results. Learning process data is…

  7. Learning-based stochastic object models for characterizing anatomical variations

    NASA Astrophysics Data System (ADS)

    Dolly, Steven R.; Lou, Yang; Anastasio, Mark A.; Li, Hua

    2018-03-01

    It is widely known that the optimization of imaging systems based on objective, task-based measures of image quality via computer-simulation requires the use of a stochastic object model (SOM). However, the development of computationally tractable SOMs that can accurately model the statistical variations in human anatomy within a specified ensemble of patients remains a challenging task. Previously reported numerical anatomic models lack the ability to accurately model inter-patient and inter-organ variations in human anatomy among a broad patient population, mainly because they are established on image data corresponding to a few of patients and individual anatomic organs. This may introduce phantom-specific bias into computer-simulation studies, where the study result is heavily dependent on which phantom is used. In certain applications, however, databases of high-quality volumetric images and organ contours are available that can facilitate this SOM development. In this work, a novel and tractable methodology for learning a SOM and generating numerical phantoms from a set of volumetric training images is developed. The proposed methodology learns geometric attribute distributions (GAD) of human anatomic organs from a broad patient population, which characterize both centroid relationships between neighboring organs and anatomic shape similarity of individual organs among patients. By randomly sampling the learned centroid and shape GADs with the constraints of the respective principal attribute variations learned from the training data, an ensemble of stochastic objects can be created. The randomness in organ shape and position reflects the learned variability of human anatomy. To demonstrate the methodology, a SOM of an adult male pelvis is computed and examples of corresponding numerical phantoms are created.

  8. Exploring Differences between Self-Regulated Learning Strategies of High and Low Achievers in Open Distance Learning

    ERIC Educational Resources Information Center

    Geduld, Bernadette

    2016-01-01

    Open distance students differ in their preparedness for higher education studies. Students who are less self-regulated risk failure and drop out in the challenging milieu of open distance learning. In this study, the differences between the application of self-regulated learning strategies by low and high achievers were explored. A multi-method…

  9. Implicit and Explicit Contributions to Object Recognition: Evidence from Rapid Perceptual Learning

    PubMed Central

    Hassler, Uwe; Friese, Uwe; Gruber, Thomas

    2012-01-01

    The present study investigated implicit and explicit recognition processes of rapidly perceptually learned objects by means of steady-state visual evoked potentials (SSVEP). Participants were initially exposed to object pictures within an incidental learning task (living/non-living categorization). Subsequently, degraded versions of some of these learned pictures were presented together with degraded versions of unlearned pictures and participants had to judge, whether they recognized an object or not. During this test phase, stimuli were presented at 15 Hz eliciting an SSVEP at the same frequency. Source localizations of SSVEP effects revealed for implicit and explicit processes overlapping activations in orbito-frontal and temporal regions. Correlates of explicit object recognition were additionally found in the superior parietal lobe. These findings are discussed to reflect facilitation of object-specific processing areas within the temporal lobe by an orbito-frontal top-down signal as proposed by bi-directional accounts of object recognition. PMID:23056558

  10. The Effect of Using Cooperative Learning Method on Tenth Grade Students' Learning Achievement and Attitude towards Biology

    ERIC Educational Resources Information Center

    Rabgay, Tshewang

    2018-01-01

    The study investigated the effect of using cooperative learning method on tenth grade students' learning achievement in biology and their attitude towards the subject in a Higher Secondary School in Bhutan. The study used a mixed method approach. The quantitative component included an experimental design where cooperative learning was the…

  11. Improving Learning Object Quality: Moodle HEODAR Implementation

    ERIC Educational Resources Information Center

    Munoz, Carlos; Garcia-Penalvo, Francisco J.; Morales, Erla Mariela; Conde, Miguel Angel; Seoane, Antonio M.

    2012-01-01

    Automation toward efficiency is the aim of most intelligent systems in an educational context in which results calculation automation that allows experts to spend most of their time on important tasks, not on retrieving, ordering, and interpreting information. In this paper, the authors provide a tool that easily evaluates Learning Objects quality…

  12. Classroom Learning and Achievement: How the Complexity of Classroom Interaction Impacts Students' Learning

    ERIC Educational Resources Information Center

    Podschuweit, Sören; Bernholt, Sascha; Brückmann, Maja

    2016-01-01

    Background: Complexity models have provided a suitable framework in various domains to assess students' educational achievement. Complexity is often used as the analytical focus when regarding learning outcomes, i.e. when analyzing written tests or problem-centered interviews. Numerous studies reveal negative correlations between the complexity of…

  13. Morningness-eveningness preferences, learning approach and academic achievement of undergraduate medical students.

    PubMed

    Akram, Nimra; Khan, Naheed; Ameen, Mehreen; Mahmood, Shahmeera; Shamim, Komal; Amin, Marium; Rana, Qurrat Ul Ain

    2018-05-15

    Several studies have focused on determining the effect of chronotype and learning approach on academic achievement separately indicating that morning types have an academic advantage over the evening types and so have the deep learners over the surface learners. But, surprisingly none have assessed the possible relationship between chronotype and learning approach. So, the current study aimed to evaluate this association and their individual influence on academic performance as indicated by the Cumulative Grade Point Average (CGPA) as well as the effect of their interaction on academic performance. The study included 345 undergraduate medical students who responded to reduced Morningness-Eveningness Questionnaire and Biggs Revised Two-Factor Study Process Questionnaire. Morning types indulged in deep learning while evening types in surface learning. Morning and evening types did not differ on academic performance but deep learners had better academic outcomes than their counterparts. The interaction between chronotype and learning approach was significant on determining academic achievement. Our findings gave the impression that chronotype could have an impact on academic performance not directly but indirectly through learning approaches.

  14. Assessment for learning with Objectively Structured Practical Examination in Biochemistry

    PubMed Central

    Jaswal, Shivani; Chattwal, Jugesh; Kaur, Jasbinder; Gupta, Seema; Singh, Tejinder

    2015-01-01

    Context: Despite a radical shift in assessment methodologies over the last decade, the majority of medical colleges still follow the Traditional Practical Examination (TPE). TPE raises concerns about examiner variability, standardization, and uniformity of assessment. To address these issues and in line with the notion of assessments as motivating what and how students learn, Objectively Structured Practical Examination (OSPE) was introduced, as an assessment modality. Despite its usefulness, awareness and motivation to use the same, still needs to be probed. Aims: To implement OSPE in the assessment of practical skills in biochemistry, and to know student and faculty perspectives regarding OSPE. Settings and Design: OSPE was introduced at the stage of formative assessment of practical skills, for 94 year one MBBS students. Subjects and Methods: Students were divided into two groups; the first group was evaluated by the traditional method and the second by OSPE. Students were crossed over on a second examination. The mean score obtained by both the methods was compared statistically. Students and faculty perspectives regarding OSPE were obtained by a questionnaire. Student performance was compared using “Bland–Altman technique,” and Student's t-test. Results: The mean scores of students was found to be significantly higher (P < 0.0001) when assessed with OSPE as compared to TPE. Number of students achieving >70% marks was also significantly higher with OSPE. Validity was supported by a significant correlation coefficient of comparison of marks by the two methods. Feedback from students and faculty indicated that they endorsed OSPE. Conclusions: This evaluation demonstrated the need for a structured approach to assessment. Going in line with the notion that assessment drives learning, introducing OSPE would help tailoring teaching-learning to optimize student satisfaction and learning. PMID:26380217

  15. Exploring Characterizations of Learning Object Repositories Using Data Mining Techniques

    NASA Astrophysics Data System (ADS)

    Segura, Alejandra; Vidal, Christian; Menendez, Victor; Zapata, Alfredo; Prieto, Manuel

    Learning object repositories provide a platform for the sharing of Web-based educational resources. As these repositories evolve independently, it is difficult for users to have a clear picture of the kind of contents they give access to. Metadata can be used to automatically extract a characterization of these resources by using machine learning techniques. This paper presents an exploratory study carried out in the contents of four public repositories that uses clustering and association rule mining algorithms to extract characterizations of repository contents. The results of the analysis include potential relationships between different attributes of learning objects that may be useful to gain an understanding of the kind of resources available and eventually develop search mechanisms that consider repository descriptions as a criteria in federated search.

  16. Professional Learning Communities That Initiate Improvement in Student Achievement

    ERIC Educational Resources Information Center

    Royer, Suzanne M.

    2012-01-01

    Quality teaching requires a strong practice of collaboration, an essential building block for educators to improve student achievement. Researchers have theorized that the implementation of a professional learning community (PLC) with resultant collaborative practices among teachers sustains academic improvement. The problem addressed specifically…

  17. Introverts, Extroverts, and Achievement in a Distance Learning Environment

    ERIC Educational Resources Information Center

    Offir, Baruch; Bezalel, Rachel; Barth, Ingrid

    2007-01-01

    Although difficulties that characterize distance learning (DL) clearly have differential effects on different learners, links between barrier research and individual differences remain relatively unexplored. This study examined the relationship between cognitive style, based on Jung's (1971) theory, and achievement levels among 77 university…

  18. Effects of the Digital Game-Development Approach on Elementary School Students' Learning Motivation, Problem Solving, and Learning Achievement

    ERIC Educational Resources Information Center

    Chu, Hui-Chun; Hung, Chun-Ming

    2015-01-01

    In this study, the game-based development approach is proposed for improving the learning motivation, problem solving skills, and learning achievement of students. An experiment was conducted on a learning activity of an elementary school science course to evaluate the performance of the proposed approach. A total of 59 sixth graders from two…

  19. Reaching Consensus on Essential Biomedical Science Learning Objectives in a Dental Curriculum.

    PubMed

    Best, Leandra; Walton, Joanne N; Walker, Judith; von Bergmann, HsingChi

    2016-04-01

    This article describes how the University of British Columbia Faculty of Dentistry reached consensus on essential basic biomedical science objectives for DMD students and applied the information to the renewal of its DMD curriculum. The Delphi Method was used to build consensus among dental faculty members and students regarding the relevance of over 1,500 existing biomedical science objectives. Volunteer panels of at least three faculty members (a basic scientist, a general dentist, and a dental specialist) and a fourth-year dental student were formed for each of 13 biomedical courses in the first two years of the program. Panel members worked independently and anonymously, rating each course objective as "need to know," "nice to know," "irrelevant," or "don't know." Panel members were advised after each round which objectives had not yet achieved a 75% consensus and were asked to reconsider their ratings. After a maximum of three rounds to reach consensus, a second group of faculty experts reviewed and refined the results to establish the biomedical science objectives for the renewed curriculum. There was consensus on 46% of the learning objectives after round one, 80% after round two, and 95% after round three. The second expert group addressed any remaining objectives as part of its review process. Only 47% of previous biomedical science course objectives were judged to be essential or "need to know" for the general dentist. The consensus reached by participants in the Delphi Method panels and a second group of faculty experts led to a streamlined, better integrated DMD curriculum to prepare graduates for future practice.

  20. Ontology-Based Annotation of Learning Object Content

    ERIC Educational Resources Information Center

    Gasevic, Dragan; Jovanovic, Jelena; Devedzic, Vladan

    2007-01-01

    The paper proposes a framework for building ontology-aware learning object (LO) content. Previously ontologies were exclusively employed for enriching LOs' metadata. Although such an approach is useful, as it improves retrieval of relevant LOs from LO repositories, it does not enable one to reuse components of a LO, nor to incorporate an explicit…

  1. The Effect of Mobile Learning on Students' Achievement and Conversational Skills

    ERIC Educational Resources Information Center

    Elfeky, Abdellah Ibrahim Mohammed; Masadeh, Thouqan Saleem Yakoub

    2016-01-01

    The present study aimed to examine the effect of Mobile Learning, which is a kind of E-learning that uses mobile devices, on the development of the academic achievement and conversational skills of English language specialty students at Najran University. The study used the quasi-experimental approach. Participants consisted of (50) students who…

  2. Growing into Equity: Professional Learning and Personalization in High-Achieving Schools

    ERIC Educational Resources Information Center

    Gleason, Sonia Caus; Gerzon, Nancy

    2013-01-01

    What makes a Title I school high-achieving, and what can we all learn from that experience? Professional learning and leadership that supports personalized instruction makes the difference, as captured in the ground-breaking research of authors Sonia Caus Gleason and Nancy Gerzon. This illuminating book shows how four outstanding schools are…

  3. Theories of Intelligence, Achievement Goals and Learning Strategies of Chinese Students.

    ERIC Educational Resources Information Center

    Hau, Kit-Tai; Hui, Hing-fai

    It has been suggested that students' belief of whether intelligence is malleable and flexible would affect their purpose of achievement (achievement goals). This might, in turn, influence their learning strategies. The present study examined the above relationships among 194 Grade 7 Chinese students in Hong Kong. Structural equation modeling…

  4. Learning the Gestalt rule of collinearity from object motion.

    PubMed

    Prodöhl, Carsten; Würtz, Rolf P; von der Malsburg, Christoph

    2003-08-01

    The Gestalt principle of collinearity (and curvilinearity) is widely regarded as being mediated by the long-range connection structure in primary visual cortex. We review the neurophysiological and psychophysical literature to argue that these connections are developed from visual experience after birth, relying on coherent object motion. We then present a neural network model that learns these connections in an unsupervised Hebbian fashion with input from real camera sequences. The model uses spatiotemporal retinal filtering, which is very sensitive to changes in the visual input. We show that it is crucial for successful learning to use the correlation of the transient responses instead of the sustained ones. As a consequence, learning works best with video sequences of moving objects. The model addresses a special case of the fundamental question of what represents the necessary a priori knowledge the brain is equipped with at birth so that the self-organized process of structuring by experience can be successful.

  5. Knowledge Enriched Learning by Converging Knowledge Object & Learning Object

    ERIC Educational Resources Information Center

    Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay

    2015-01-01

    The most important dimension of learning is the content, and a Learning Management System (LMS) suffices this to a certain extent. The present day LMS are designed to primarily address issues like ease of use, search, content and performance. Many surveys had been conducted to identify the essential features required for the improvement of LMS,…

  6. Behavioral Objectives and Student Learning Contracts in the Teaching of Economics

    ERIC Educational Resources Information Center

    Journal of Economic Education, 1972

    1972-01-01

    The use of stated behavioral objectives and student learning contracts, planned and prepared by student and teacher, as teaching methods are discussed and an example of a learning contract is presented. (JB)

  7. Effects of digital game-based learning on student engagement and academic achievement

    NASA Astrophysics Data System (ADS)

    Little, Timothy W.

    This experimental study was designed to determine the effect of digital game-based learning on student engagement and academic achievement. The sample was comprised of 34 students enrolled in a secondary Biology class in a rural public school. The study utilized an experimental pretest-posttest design with switching replications. After random assignment, students participated in one of two supplemental learning activities: playing a digital game designed to review science concepts or participating in a lab to review the same concepts. Students subsequently switched activities. Student achievement data were collected on mastery of science concepts, and student engagement data were collected utilizing self- and teacher-reported measures. Data were analyzed using analysis of variance (ANOVA) with repeated measures. Results demonstrated that the digital game was as effective as the lab activity at increasing teacher-reported student engagement and academic achievement. These findings may be of interest to school administrators or directors of teacher preparation programs on the potential effectiveness of digital games as a learning tool.

  8. Algorithms for Learning Preferences for Sets of Objects

    NASA Technical Reports Server (NTRS)

    Wagstaff, Kiri L.; desJardins, Marie; Eaton, Eric

    2010-01-01

    A method is being developed that provides for an artificial-intelligence system to learn a user's preferences for sets of objects and to thereafter automatically select subsets of objects according to those preferences. The method was originally intended to enable automated selection, from among large sets of images acquired by instruments aboard spacecraft, of image subsets considered to be scientifically valuable enough to justify use of limited communication resources for transmission to Earth. The method is also applicable to other sets of objects: examples of sets of objects considered in the development of the method include food menus, radio-station music playlists, and assortments of colored blocks for creating mosaics. The method does not require the user to perform the often-difficult task of quantitatively specifying preferences; instead, the user provides examples of preferred sets of objects. This method goes beyond related prior artificial-intelligence methods for learning which individual items are preferred by the user: this method supports a concept of setbased preferences, which include not only preferences for individual items but also preferences regarding types and degrees of diversity of items in a set. Consideration of diversity in this method involves recognition that members of a set may interact with each other in the sense that when considered together, they may be regarded as being complementary, redundant, or incompatible to various degrees. The effects of such interactions are loosely summarized in the term portfolio effect. The learning method relies on a preference representation language, denoted DD-PREF, to express set-based preferences. In DD-PREF, a preference is represented by a tuple that includes quality (depth) functions to estimate how desired a specific value is, weights for each feature preference, the desired diversity of feature values, and the relative importance of diversity versus depth. The system applies statistical

  9. Learning to recognize objects on the fly: a neurally based dynamic field approach.

    PubMed

    Faubel, Christian; Schöner, Gregor

    2008-05-01

    Autonomous robots interacting with human users need to build and continuously update scene representations. This entails the problem of rapidly learning to recognize new objects under user guidance. Based on analogies with human visual working memory, we propose a dynamical field architecture, in which localized peaks of activation represent objects over a small number of simple feature dimensions. Learning consists of laying down memory traces of such peaks. We implement the dynamical field model on a service robot and demonstrate how it learns 30 objects from a very small number of views (about 5 per object are sufficient). We also illustrate how properties of feature binding emerge from this framework.

  10. The Effects of Brain-Based Learning on the Academic Achievement of Students with Different Learning Styles

    ERIC Educational Resources Information Center

    Duman, Bilal

    2010-01-01

    The purpose of the present study is to investigate the effects of Brain-based learning (BBL) on the academic achievement of students with different learning styles. The study group consists of students from the department of Social Sciences Teacher Education in the Faculty of Education at Mugla University (N=68). In the study, a pre-test-post-test…

  11. Classroom learning and achievement: how the complexity of classroom interaction impacts students' learning

    NASA Astrophysics Data System (ADS)

    Podschuweit, Sören; Bernholt, Sascha; Brückmann, Maja

    2016-05-01

    Background: Complexity models have provided a suitable framework in various domains to assess students' educational achievement. Complexity is often used as the analytical focus when regarding learning outcomes, i.e. when analyzing written tests or problem-centered interviews. Numerous studies reveal negative correlations between the complexity of a task and the probability of a student solving it. Purpose: Thus far, few detailed investigations explore the importance of complexity in actual classroom lessons. Moreover, the few efforts made so far revealed inconsistencies. Hence, the present study sheds light on the influence the complexity of students' and teachers' class contributions have on students' learning outcomes. Sample: Videos of 10 German 8th grade physics courses covering three consecutive lessons on two topics each (electricity, mechanics) have been analyzed. The sample includes 10 teachers and 290 students. Design and methods: Students' and teachers' verbal contributions were coded manual-based according to the level of complexity. Additionally, pre-post testing of knowledge in electricity and mechanics was applied to assess the students' learning gain. ANOVA analysis was used to characterize the influence of the complexity on the learning gain. Results: Results indicate that the mean level of complexity in classroom contributions explains a large portion of variance in post-test results on class level. Despite this overarching trend, taking classroom activities into account as well reveals even more fine-grained patterns, leading to more specific relations between the complexity in the classroom and students' achievement. Conclusions: In conclusion, we argue for more reflected teaching approaches intended to gradually increase class complexity to foster students' level of competency.

  12. Grouping students for instruction: effects of learning style on achievement and attitudes.

    PubMed

    Dunn, R; Giannitti, M C; Murray, J B; Rossi, I; Geisert, G; Quinn, P

    1990-08-01

    The present study examined the effects of matching and mismatching American middle-school students with a preference for learning alone or learning with peers with selected instructional treatments in order to determine the impact upon their attitudes and achievement in social studies. Analysis revealed that the learning-alone preference performed significantly better in the learning-alone condition and that the learning-with-peers preference performed significantly better in the learning-with-peers condition. However, no-preference students also performed significantly better in the learning-alone condition than with peers. In addition, data revealed that the learning-alone and the learning-with-peers students had significantly more positive attitudes when matched with their preferred learning style; the nopreference students had more positive attitudes in the learning-alone condition.

  13. The Role of Pre-School Education on Learning Achievement at Primary Level in Bangladesh

    ERIC Educational Resources Information Center

    Nath, Samir Ranjan

    2012-01-01

    This paper examines the impact of pre-school education on learning achievement at primary level in Bangladesh. Evidence from learning achievement test and household and school-related data were obtained from 7093 pupils attending 440 primary schools in Bangladesh. Findings suggest that a small proportion (15.3%) of primary school pupils attended…

  14. Social Sciences, Grades 3, 6, 8, 10, 12. State Goals for Learning and Sample Learning Objectives.

    ERIC Educational Resources Information Center

    Illinois State Board of Education, Springfield. Dept. of School Improvement Services.

    This document, developed by the Illinois State Board of Education, identifies five goals for learning in the social sciences, and provides sample learning objectives for grades 3, 6, 8, 10, 12, which are consistent with these goals. The state goals for learning are broadly stated expressions of what the Illinois State Board of Education wants and…

  15. Fine Arts, Grades 3, 6, 8, 10, 12. State Goals for Learning and Sample Learning Objectives.

    ERIC Educational Resources Information Center

    Illinois State Board of Education, Springfield. Dept. of School Improvement Services.

    This document, developed by the Illinois State Boaord of Education, identifies five state goals for learning in the fine arts, and provides sample learning objectives for grades, 3, 6, 8, 10, 12, which are consistent with the goals. The state goals for learning are broadly stated expressions of what the Illinois State Board of Education expects…

  16. The effect of team accelerated instruction on students’ mathematics achievement and learning motivation

    NASA Astrophysics Data System (ADS)

    Sri Purnami, Agustina; Adi Widodo, Sri; Charitas Indra Prahmana, Rully

    2018-01-01

    This study aimed to know the improvement of achievement and motivation of learning mathematics by using Team Accelerated Instruction. The research method used was the experiment with descriptive pre-test post-test experiment. The population in this study was all students of class VIII junior high school in Jogjakarta. The sample was taken using cluster random sampling technique. The instrument used in this research was questionnaire and test. Data analysis technique used was Wilcoxon test. It concluded that there was an increase in motivation and student achievement of class VII on linear equation system material by using the learning model of Team Accelerated Instruction. Based on the results of the learning model Team Accelerated Instruction can be used as a variation model in learning mathematics.

  17. Parental involvement, adolescents' self-determined learning and academic achievement in Urban China.

    PubMed

    Wang, Hongyu; Cai, Tianji

    2017-02-01

    Self-determined learning is essential to academic success. The motivational resources development model argues that parents promote academic success in their children indirectly by nurturing self-determined learner. In this study, applying a structural equation modelling and using data collected from 8th graders in Zhuhai, China (n = 1009) in 2012, we aim to answer 2 research questions: (a) What forms of parental involvement are highly correlated with self-determined learning and (b) Can self-determined learning fully mediate the relationship between parental involvement and students' academic performance? We find that parental leisure involvement is positively and significantly associated with the development of self-determined learning, which in turn is significantly and positively correlated with academic achievement. Parental provision of structure or parental academic assistance is not significantly associated with students' self-regulation and students' academic achievement. © 2015 International Union of Psychological Science.

  18. Language Diversity, School Learning, and Closing Achievement Gaps: A Workshop Summary

    ERIC Educational Resources Information Center

    Welch-Ross, Melissa

    2010-01-01

    The Workshop on the Role of Language in School Learning: Implications for Closing the Achievement Gap was held to explore three questions: What is known about the conditions that affect language development? What are the effects of early language development on school achievement? What instructional approaches help students meet school demands for…

  19. Learning Objects as Tools for Teaching Information Literacy Online: A Survey of Librarian Usage

    ERIC Educational Resources Information Center

    Mestre, Lori S.; Baures, Lisa; Niedbala, Mona; Bishop, Corinne; Cantrell, Sarah; Perez, Alice; Silfen, Kate

    2011-01-01

    Based on information gathered from two discussion sessions moderated by members of the Education and Behavioral Sciences Section's Online Learning Research Committee a survey was conducted to identify how librarians use course/learning management systems and learning objects to deliver instruction. Objectives of the study were to identify the…

  20. Cooperative learning using simulation to achieve mastery of nasogastric tube insertion.

    PubMed

    Cason, Melanie Leigh; Gilbert, Gregory E; Schmoll, Heidi H; Dolinar, Susan M; Anderson, Jane; Nickles, Barbara Marshburn; Pufpaff, Laurie A; Henderson, Ruth; Lee, Frances Wickham; Schaefer, John J

    2015-03-01

    Traditionally, psychomotor skills training for nursing students involves didactic instruction followed by procedural review and practice with a task trainer, manikin, or classmates. This article describes a novel method of teaching psychomotor skills to associate degree and baccalaureate nursing students, Cooperative Learning Simulation Skills Training (CLSST), in the context of nasogastric tube insertion using a deliberate practice-to-mastery learning model. Student dyads served as operator and student learner. Automatic scoring was recorded in the debriefing log. Student pairs alternated roles until they achieved mastery, after which they were assessed individually. Median checklist scores of 100% were achieved by students in both programs after one practice session and through evaluation. Students and faculty provided positive feedback regarding this educational innovation. CLSST in a deliberate practice-to-mastery learning paradigm offers a novel way to teach psychomotor skills in nursing curricula and decreases the instructor-to-student ratio. Copyright 2015, SLACK Incorporated.

  1. Garrison's model of self-directed learning: preliminary validation and relationship to academic achievement.

    PubMed

    Abd-El-Fattah, Sabry M

    2010-11-01

    In this project, 119 undergraduates responded to a questionnaire tapping three psychological constructs implicated in Garrison's model of self-directed learning: self-management, self-monitoring, and motivation. Mediation analyses showed that these psychological constructs are interrelated and that motivation mediates the relationship between self-management and self-monitoring. Path modeling analyses revealed that self-management and self-monitoring significantly predicted academic achievement over two semesters with self-management being the strongest predictor. Motivation significantly predicted academic achievement over the second semester only. Implications of these findings for self-directed learning and academic achievement in a traditional classroom setting are discussed.

  2. A Study of the Relationship between Learning Belief and English Achievement of Chinese English Major College Students

    ERIC Educational Resources Information Center

    Ren, Hulin; Bai, Yulian

    2016-01-01

    It is generally accepted that learning belief has great effect on learning, however, few studies examine the extent to which learning belief affects related achievement. This paper mainly discusses the study of relationship between learning belief and English achievement of Chinese English major students in College. Through the data analysis of…

  3. Preceptors’ Self-Assessment of Their Ability to Perform the Learning Objectives of an Experiential Program

    PubMed Central

    2012-01-01

    Objective. To evaluate preceptors’ perception of their ability to perform the Structured Practical Experiences in Pharmacy (SPEP) learning objectives through a self-assessment activity. Methods. A self-assessment instrument consisting of 28 learning objectives associated with clinic, community, and hospital pharmacy practice experiences were developed. Preceptors rated their performance ability for each of the learning objectives using a 3-point Likert scale. Results. Of the 116 preceptors, 89 (77%) completed the self-assessment survey instrument. The overall preceptor responses to the items on performance of the 28 SPEP learning objectives ranged from good to excellent. Years of experience, practice experience setting, and involvement as a SPEP or SPEP and PharmD preceptor had no influence on their self-reported capabilities. Conclusion. Most preceptors rated their ability to perform the learning objectives for the structured practical experiences in pharmacy as high. Competency areas requiring further preceptor development were identified. PMID:23193333

  4. Characterization of medical students recall of factual knowledge using learning objects and repeated testing in a novel e-learning system.

    PubMed

    Taveira-Gomes, Tiago; Prado-Costa, Rui; Severo, Milton; Ferreira, Maria Amélia

    2015-01-24

    Spaced-repetition and test-enhanced learning are two methodologies that boost knowledge retention. ALERT STUDENT is a platform that allows creation and distribution of Learning Objects named flashcards, and provides insight into student judgments-of-learning through a metric called 'recall accuracy'. This study aims to understand how the spaced-repetition and test-enhanced learning features provided by the platform affect recall accuracy, and to characterize the effect that students, flashcards and repetitions exert on this measurement. Three spaced laboratory sessions (s0, s1 and s2), were conducted with n=96 medical students. The intervention employed a study task, and a quiz task that consisted in mentally answering open-ended questions about each flashcard and grading recall accuracy. Students were randomized into study-quiz and quiz groups. On s0 both groups performed the quiz task. On s1 and s2, the study-quiz group performed the study task followed by the quiz task, whereas the quiz group only performed the quiz task. We measured differences in recall accuracy between groups/sessions, its variance components, and the G-coefficients for the flashcard component. At s0 there were no differences in recall accuracy between groups. The experiment group achieved a significant increase in recall accuracy that was superior to the quiz group in s1 and s2. In the study-quiz group, increases in recall accuracy were mainly due to the session, followed by flashcard factors and student factors. In the quiz group, increases in recall accuracy were mainly accounted by flashcard factors, followed by student and session factors. The flashcard G-coefficient indicated an agreement on recall accuracy of 91% in the quiz group, and of 47% in the study-quiz group. Recall accuracy is an easily collectible measurement that increases the educational value of Learning Objects and open-ended questions. This metric seems to vary in a way consistent with knowledge retention, but further

  5. Effects of Comparison and Game-Challenge on Sixth Graders' Algebra Variable Learning Achievement, Learning Attitude, and Meta-Cognitive Awareness

    ERIC Educational Resources Information Center

    Sun Lin, Hong-Zheng; Chiou, Guey-Fa

    2017-01-01

    This study examined the effects of comparison and game-challenge strategies on sixth graders' learning achievement of algebra variable, learning attitude towards algebra variable learning, and meta-cognitive awareness of algebra variable learning. A 2 × 2 factorial design was used, and 86 students were invited to participate in the experimental…

  6. Functional Requirements: 2014 No Child Left Behind--Annual Measurable Achievement Objectives

    ERIC Educational Resources Information Center

    Minnesota Department of Education, 2014

    2014-01-01

    This document describes the Minnesota No Child Left Behind (NCLB) calculation as it relates to measuring Title III districts for Annual Measurable Achievement Objectives (AMAO). In 2012, a new assessment was used to measure language proficiency skills for English Learners. New AMAO targets were created, and new values for determining individual…

  7. Curriculum Alignment: Exploring Student Perception of Learning Achievement Measures

    ERIC Educational Resources Information Center

    Kuhn, Kerri-Ann L.; Rundle-Thiele, Sharyn R.

    2009-01-01

    The importance of constructively aligned curriculum is well understood in higher education. Based on the principles of constructive alignment, this research considers whether student perception of learning achievement measures can be used to gain insights into how course activities and pedagogy are assisting or hindering students in accomplishing…

  8. An Online Authoring Tool for Creating Activity-Based Learning Objects

    ERIC Educational Resources Information Center

    Ahn, Jeong Yong; Mun, Gil Seong; Han, Kyung Soo; Choi, Sook Hee

    2017-01-01

    As higher education increasingly relies on e-learning, the need for tools that will allow teachers themselves to develop effective e-learning objects as simply and quickly as possible has also been increasingly recognized. This article discusses the design and development of a novel tool, Enook (Evolutionary note book), for creating activity-based…

  9. Problem-based learning through field investigation: Boosting questioning skill, biological literacy, and academic achievement

    NASA Astrophysics Data System (ADS)

    Suwono, Hadi; Wibowo, Agung

    2018-01-01

    Biology learning emphasizes problem-based learning as a learning strategy to develop students ability in identifying and solving problems in the surrounding environment. Problem identification skills are closely correlated with questioning skills. By holding this skill, students tend to deliver a procedural question instead of the descriptive one. Problem-based learning through field investigation is an instruction model which directly exposes the students to problems or phenomena that occur in the environment, and then the students design the field investigation activities to solve these problems. The purpose of this research was to describe the improvement of undergraduate biology students on questioning skills, biological literacy, and academic achievement through problem-based learning through field investigation (PBFI) compared with the lecture-based instruction (LBI). This research was a time series quasi-experimental design. The research was conducted on August - December 2015 and involved 26 undergraduate biology students at the State University of Malang on the Freshwater Ecology course. The data were collected during the learning with LBI and PBFI, in which questioning skills, biological literacy, and academic achievement were collected 3 times in each learning model. The data showed that the procedural correlative and causal types of questions are produced by the students to guide them in conducting investigations and problem-solving in PBFI. The biological literacy and academic achievement of the students at PBFI are significantly higher than those at LBI. The results show that PBFI increases the questioning skill, biological literacy, and the academic achievement of undergraduate biology students.

  10. Distributed learning and multi-objectivity in traffic light control

    NASA Astrophysics Data System (ADS)

    Brys, Tim; Pham, Tong T.; Taylor, Matthew E.

    2014-01-01

    Traffic jams and suboptimal traffic flows are ubiquitous in modern societies, and they create enormous economic losses each year. Delays at traffic lights alone account for roughly 10% of all delays in US traffic. As most traffic light scheduling systems currently in use are static, set up by human experts rather than being adaptive, the interest in machine learning approaches to this problem has increased in recent years. Reinforcement learning (RL) approaches are often used in these studies, as they require little pre-existing knowledge about traffic flows. Distributed constraint optimisation approaches (DCOP) have also been shown to be successful, but are limited to cases where the traffic flows are known. The distributed coordination of exploration and exploitation (DCEE) framework was recently proposed to introduce learning in the DCOP framework. In this paper, we present a study of DCEE and RL techniques in a complex simulator, illustrating the particular advantages of each, comparing them against standard isolated traffic actuated signals. We analyse how learning and coordination behave under different traffic conditions, and discuss the multi-objective nature of the problem. Finally we evaluate several alternative reward signals in the best performing approach, some of these taking advantage of the correlation between the problem-inherent objectives to improve performance.

  11. When high achievers and low achievers work in the same group: the roles of group heterogeneity and processes in project-based learning.

    PubMed

    Cheng, Rebecca Wing-yi; Lam, Shui-fong; Chan, Joanne Chung-yan

    2008-06-01

    There has been an ongoing debate about the inconsistent effects of heterogeneous ability grouping on students in small group work such as project-based learning. The present research investigated the roles of group heterogeneity and processes in project-based learning. At the student level, we examined the interaction effect between students' within-group achievement and group processes on their self- and collective efficacy. At the group level, we examined how group heterogeneity was associated with the average self- and collective efficacy reported by the groups. The participants were 1,921 Hong Kong secondary students in 367 project-based learning groups. Student achievement was determined by school examination marks. Group processes, self-efficacy and collective efficacy were measured by a student-report questionnaire. Hierarchical linear modelling was used to analyse the nested data. When individual students in each group were taken as the unit of analysis, results indicated an interaction effect of group processes and students' within-group achievement on the discrepancy between collective- and self-efficacy. When compared with low achievers, high achievers reported lower collective efficacy than self-efficacy when group processes were of low quality. However, both low and high achievers reported higher collective efficacy than self-efficacy when group processes were of high quality. With 367 groups taken as the unit of analysis, the results showed that group heterogeneity, group gender composition and group size were not related to the discrepancy between collective- and self-efficacy reported by the students. Group heterogeneity was not a determinant factor in students' learning efficacy. Instead, the quality of group processes played a pivotal role because both high and low achievers were able to benefit when group processes were of high quality.

  12. Professional Learning Communities and Their Impact on Student Achievement

    ERIC Educational Resources Information Center

    Story, Zenobia N.

    2012-01-01

    The purpose of the study was to assess the impact that professional learning communities (PLCs) have on student achievement. Through this study, the statewide performance results of a school district that implemented PLCs were examined. This study of an Illinois school district's statewide assessment results served as a foundation for further…

  13. Public-Private Differences in Achievement among Kindergarten Students: Differences in Learning Opportunities and Student Outcomes

    ERIC Educational Resources Information Center

    Carbonaro, William

    2006-01-01

    While much research has focused on public-private differences in learning opportunities and achievement in high school, no studies have examined sector differences early in students' academic careers. In this study, I examine sector differences in learning opportunities and achievement in kindergarten. The analyses indicate: (1) learning…

  14. An Augmented Reality-Based Mobile Learning System to Improve Students' Learning Achievements and Motivations in Natural Science Inquiry Activities

    ERIC Educational Resources Information Center

    Chiang, Tosti H. C.; Yang, Stephen J. H.; Hwang, Gwo-Jen

    2014-01-01

    In this study, an augmented reality-based mobile learning system is proposed for conducting inquiry-based learning activities. An experiment has been conducted to examine the effectiveness of the proposed approach in terms of learning achievements and motivations. The subjects were 57 fourth graders from two classes taught by the same teacher in…

  15. APA's Learning Objectives for Research Methods and Statistics in Practice: A Multimethod Analysis

    ERIC Educational Resources Information Center

    Tomcho, Thomas J.; Rice, Diana; Foels, Rob; Folmsbee, Leah; Vladescu, Jason; Lissman, Rachel; Matulewicz, Ryan; Bopp, Kara

    2009-01-01

    Research methods and statistics courses constitute a core undergraduate psychology requirement. We analyzed course syllabi and faculty self-reported coverage of both research methods and statistics course learning objectives to assess the concordance with APA's learning objectives (American Psychological Association, 2007). We obtained a sample of…

  16. [Perceptions of classroom goal structures, personal achievement goal orientations, and learning strategies].

    PubMed

    Miki, Kaori; Yamauchi, Hirotsugu

    2005-08-01

    We examined the relations among students' perceptions of classroom goal structures (mastery and performance goal structures), students' achievement goal orientations (mastery, performance, and work-avoidance goals), and learning strategies (deep processing, surface processing and self-handicapping strategies). Participants were 323 5th and 6th grade students in elementary schools. The results from structural equation modeling indicated that perceptions of classroom mastery goal structures were associated with students' mastery goal orientations, which were in turn related positively to the deep processing strategies and academic achievement. Perceptions of classroom performance goal stractures proved associated with work avoidance-goal orientations, which were positively related to the surface processing and self-handicapping strategies. Two types of goal structures had a positive relation with students' performance goal orientations, which had significant positive effects on academic achievement. The results of this study suggest that elementary school students' perceptions of mastery goal structures are related to adaptive patterns of learning more than perceptions of performance goal structures are. The role of perceptions of classroom goal structure in promoting students' goal orientations and learning strategies is discussed.

  17. Examining the Effect of Academic Procrastination on Achievement Using LMS Data in E-Learning

    ERIC Educational Resources Information Center

    You, Ji Won

    2015-01-01

    This study aimed to investigate the effect of academic procrastination on e-learning course achievement. Because all of the interactions among students, instructors, and contents in an e-learning environment were automatically recorded in a learning management system (LMS), procrastination such as the delays in weekly scheduled learning and late…

  18. MODeLeR: A Virtual Constructivist Learning Environment and Methodology for Object-Oriented Design

    ERIC Educational Resources Information Center

    Coffey, John W.; Koonce, Robert

    2008-01-01

    This article contains a description of the organization and method of use of an active learning environment named MODeLeR, (Multimedia Object Design Learning Resource), a tool designed to facilitate the learning of concepts pertaining to object modeling with the Unified Modeling Language (UML). MODeLeR was created to provide an authentic,…

  19. Relationships among student attitudes, motivation, learning styles, learning strategies, patterns of learning, and achievement: A formative evaluation of distance education via Web-based courses

    NASA Astrophysics Data System (ADS)

    Shih, Ching-Chun

    The World Wide Web (WWW) is the latest in a long line of educational technologies, and the list of courses on it is growing daily. Formative evaluations would help educators enhance teaching and learning in Web-based courses. This study analyzed the relationships between student achievement and the following variables: attitudes, motivation, learning strategies, patterns of learning, learning styles, and selected demographics. It was a population study that included 99 students taking two non-major introductory biology courses offered over the WWW by Iowa State University in the fall of 1997. Seventy-four (75%) students completed a learning style test, an on-line questionnaire, and received a grade by the end of the semester. The learning style test was the Group Embedded Figures Test (GEFT), which classified students as either field-dependent or field-independent. The on-line questionnaire consisted of four scales (attitude, motivation, learning strategies, and patterns of learning), whose pilot-test reliabilities ranged from .71 to .91. The selected demographic variables were gender, class level, previous experience in subject area, hours per week studying and working, computer access, and types of students as off-campus, on-campus, or adult students. Over two-thirds of the students taking the Web-based courses were field-independent learners; however, there were no significant differences (.05 level) in achievement by learning style. Also, different backgrounds of students with different learning styles learned equally well in Web-based courses. The students enjoyed the convenience and self-controlled learning pace and were motivated by competition and high expectations in Web-based learning. They used most the learning strategies of finding important ideas from lectures and memorizing key words of important concepts and least the learning strategy of making charts or tables to organize the material. They seemed more interested in checking their grades than in

  20. Placement and Achievement of Urban Hispanic Middle Schoolers with Specific Learning Disabilities

    ERIC Educational Resources Information Center

    Barrocas, Lisa; Cramer, Elizabeth D.

    2014-01-01

    This study examined achievement gains in reading and math for Hispanic middle school students with specific learning disabilities in inclusive versus segregated settings in a large urban school district. The authors report learning gains for students with and without disabilities in inclusive versus segregated settings. Results indicate no…

  1. Effect of Blended Learning Environment Model on High School Students' Academic Achievement

    ERIC Educational Resources Information Center

    Kazu, Ibrahim Yasar; Demirkol, Mehmet

    2014-01-01

    This study analyzes the students' academic performance by comparing the blended learning environment and traditional learning environment. It has been observed whether there is a significant difference between the academic achievement grade dispersions and the male-female students' grades. The study has been carried out in Diyarbakir Anatolian…

  2. Effects of an Intervention on Math Achievement for Students with Learning Disabilities

    ERIC Educational Resources Information Center

    Kitchens, Vivian D.

    2012-01-01

    Students with learning disabilities score lower than other at-risk groups on state standardized assessment tests. Educators are searching for intervention strategies to improve math achievement for students with learning disabilities. Using the theoretical framework of behaviorism, the purpose of this quantitative one group pre post test design…

  3. Frequency-dependent learning achieved using semiconducting polymer/electrolyte composite cells

    NASA Astrophysics Data System (ADS)

    Dong, W. S.; Zeng, F.; Lu, S. H.; Liu, A.; Li, X. J.; Pan, F.

    2015-10-01

    Frequency-dependent learning has been achieved using semiconducting polymer/electrolyte composite cells. The cells composed of polymer/electrolyte double layers realized the conventional spike-rate-dependent plasticity (SRDP) learning model. These cells responded to depression upon low-frequency stimulation and to potentiation upon high-frequency stimulation and presented long-term memory. The transition threshold θm from depression to potentiation varied depending on the previous stimulations. A nanostructure resembling a bio-synapse in its transport passages was demonstrated and a random channel model was proposed to describe the ionic kinetics at the polymer/electrolyte interface during and after stimulations with various frequencies, accounting for the observed SRDP.Frequency-dependent learning has been achieved using semiconducting polymer/electrolyte composite cells. The cells composed of polymer/electrolyte double layers realized the conventional spike-rate-dependent plasticity (SRDP) learning model. These cells responded to depression upon low-frequency stimulation and to potentiation upon high-frequency stimulation and presented long-term memory. The transition threshold θm from depression to potentiation varied depending on the previous stimulations. A nanostructure resembling a bio-synapse in its transport passages was demonstrated and a random channel model was proposed to describe the ionic kinetics at the polymer/electrolyte interface during and after stimulations with various frequencies, accounting for the observed SRDP. Electronic supplementary information (ESI) available. See DOI: 10.1039/c5nr02891d

  4. Everyday objects of learning about health and healing and implications for science education

    NASA Astrophysics Data System (ADS)

    Gitari, Wanja

    2006-02-01

    The role of science education in rural development is of great interest to science educators. In this study I investigated how residents of rural Kirumi, Kenya, approach health and healing, through discussions and semistructured and in-depth interviews with 150 residents, 3 local herbalists, and 2 medical researchers over a period of 6 months. I constructed objects of learning by looking for similarities and differences within interpretive themes. Objects of learning found comprise four types of personal learning tools, three types of relational learning tools, three genres of moral obligation, and five genres of knowledge guarding. Findings show that rural people use (among other learning tools) inner sensing to engage thought processes that lead to health and healing knowledge. The sociocultural context is also an important component in learning. Inner sensing and residents' sociocultural context are not presently emphasized in Kenyan science teaching. I discuss the potential use of rural objects of learning in school science, with specific reference to a health topic in the Kenyan science curriculum. In addition, the findings add to the literature in the Science, Technology, Society, and Environment (STSE) approach to science education, and cross-cultural and global science education.

  5. Effects of Activity Based Blended Learning Strategy on Prospective of Teachers' Achievement and Motivation

    ERIC Educational Resources Information Center

    Abdelraheem, Ahmed Yousif; Ahmed, Abdelrahman Mohammed

    2015-01-01

    The study investigates the effect of Activity based Blended Learning strategy and Conventional Blended Learning strategy on students' achievement and motivation. Two groups namely, experimental and control group from Sultan Qaboos University were selected randomly for the study. To assess students' achievement in the different groups, pre- and…

  6. The effect of teaching based on dominant learning style on nursing students' academic achievement.

    PubMed

    Vizeshfar, Fatemeh; Torabizadeh, Camellia

    2018-01-01

    The recognition of learning styles and teaching based on that recognition will help lecturers use suitable methods of teaching. The aim of this study was to evaluate the effect of education based on dominant learning styles on the academic achievement of nursing students. The population of this quasi-experimental research consisted of 40 third-semester nursing students. The data were collected by using Kolb's Learning Style questionnaire. To determine the dominant learning style of the students, the researchers had them take a pre-test; then, based on the dominant learning style, the students were taught through group discussion. A formative exam and a summative exam were taken. The most and least preferred learning styles of the participants were the divergent style and the assimilative style respectively. Education based on learning styles, particularly for college students, can not only enhance students' academic achievement and teachers' professional satisfaction, but can help with training professional nurses. Copyright © 2017 Elsevier Ltd. All rights reserved.

  7. Are High Achievers Successful in Collaborative Learning? An Explorative Study of College Students' Learning Approaches in Team Project-Based Learning

    ERIC Educational Resources Information Center

    Lee, Hye-Jung; Kim, Hyekyung; Byun, Hyunjung

    2017-01-01

    This study analyses how high-achieving students approach team project-based learning (TPBL) and aims to identify the implications and challenges of TPBL practice in higher education. After interviewing 32 high-achieving students and surveying 1022 additional students at a South Korean university, we found that four factors were particularly…

  8. Personalized Learning Objects Recommendation Based on the Semantic-Aware Discovery and the Learner Preference Pattern

    ERIC Educational Resources Information Center

    Wang, Tzone I; Tsai, Kun Hua; Lee, Ming Che; Chiu, Ti Kai

    2007-01-01

    With vigorous development of the Internet, especially the web page interaction technology, distant E-learning has become more and more realistic and popular. Digital courses may consist of many learning units or learning objects and, currently, many learning objects are created according to SCORM standard. It can be seen that, in the near future,…

  9. Mathematics. Grades 3, 6, 8, 10, 12. State Goals for Learning and Sample Learning Objectives.

    ERIC Educational Resources Information Center

    Illinois State Board of Education, Springfield. Dept. of School Improvement Services.

    This publication is designed to provide assistance to local school districts in Illinois in meeting two new requirements: (1) to submit objectives for student learning to the State Board of Education which meet or exceed the State Goals for Learning and (2) to identify local goals for excellence in education. School districts have the option to…

  10. Structured Kernel Dictionary Learning with Correlation Constraint for Object Recognition.

    PubMed

    Wang, Zhengjue; Wang, Yinghua; Liu, Hongwei; Zhang, Hao

    2017-06-21

    In this paper, we propose a new discriminative non-linear dictionary learning approach, called correlation constrained structured kernel KSVD, for object recognition. The objective function for dictionary learning contains a reconstructive term and a discriminative term. In the reconstructive term, signals are implicitly non-linearly mapped into a space, where a structured kernel dictionary, each sub-dictionary of which lies in the span of the mapped signals from the corresponding class, is established. In the discriminative term, by analyzing the classification mechanism, the correlation constraint is proposed in kernel form, constraining the correlations between different discriminative codes, and restricting the coefficient vectors to be transformed into a feature space, where the features are highly correlated inner-class and nearly independent between-classes. The objective function is optimized by the proposed structured kernel KSVD. During the classification stage, the specific form of the discriminative feature is needless to be known, while the inner product of the discriminative feature with kernel matrix embedded is available, and is suitable for a linear SVM classifier. Experimental results demonstrate that the proposed approach outperforms many state-of-the-art dictionary learning approaches for face, scene and synthetic aperture radar (SAR) vehicle target recognition.

  11. The Relation between Lifelong Learning Tendency and Achievement Motivation

    ERIC Educational Resources Information Center

    Yilmaz, Emrullah; Kaygin, Hüseyin

    2018-01-01

    The aim of this study is to reveal the relation between lifelong learning tendency and achievement motivation. The sampling of the study consisted of 570 prospective teachers attending a pedagogical formation course at two universities in Turkey in 2016. Relational screening model was used in the study and the data were collected through…

  12. Explaining Hong Kong Students' International Achievement in Civic Learning

    ERIC Educational Resources Information Center

    Kennedy, Kerry J.; Lijuan, Li

    2016-01-01

    This study identifies predictors of Hong Kong students' civic learning. It has adopted a cross-sectional quantitative design using secondary data from the 2009 International Civics and Citizenship Education Study (ICCS 2009; Schulz et al., 2010). Multi-level analysis reveals that most of the variance in student achievement can be accounted for by…

  13. Multi-objects recognition for distributed intelligent sensor networks

    NASA Astrophysics Data System (ADS)

    He, Haibo; Chen, Sheng; Cao, Yuan; Desai, Sachi; Hohil, Myron E.

    2008-04-01

    This paper proposes an innovative approach for multi-objects recognition for homeland security and defense based intelligent sensor networks. Unlike the conventional way of information analysis, data mining in such networks is typically characterized with high information ambiguity/uncertainty, data redundancy, high dimensionality and real-time constrains. Furthermore, since a typical military based network normally includes multiple mobile sensor platforms, ground forces, fortified tanks, combat flights, and other resources, it is critical to develop intelligent data mining approaches to fuse different information resources to understand dynamic environments, to support decision making processes, and finally to achieve the goals. This paper aims to address these issues with a focus on multi-objects recognition. Instead of classifying a single object as in the traditional image classification problems, the proposed method can automatically learn multiple objectives simultaneously. Image segmentation techniques are used to identify the interesting regions in the field, which correspond to multiple objects such as soldiers or tanks. Since different objects will come with different feature sizes, we propose a feature scaling method to represent each object in the same number of dimensions. This is achieved by linear/nonlinear scaling and sampling techniques. Finally, support vector machine (SVM) based learning algorithms are developed to learn and build the associations for different objects, and such knowledge will be adaptively accumulated for objects recognition in the testing stage. We test the effectiveness of proposed method in different simulated military environments.

  14. Important learning factors in high- and low-achieving students in undergraduate biomechanics.

    PubMed

    Hsieh, ChengTu; Knudson, Duane

    2017-07-21

    The purpose of the present study was to document crucial factors associated with students' learning of biomechanical concepts, particularly between high- and-low achieving students. Students (N = 113) from three introductory biomechanics classes at two public universities volunteered for the study. Two measures of students' learning were obtained, final course grade and improvement on the Biomechanics Concept Inventory version 3 administered before and after the course. Participants also completed a 15-item questionnaire documenting student learning characteristics, effort, and confidence. Partial correlations controlling for all other variables in the study, confirmed previous studies that students' grade point average (p < 0.01), interest in biomechanics, (p < 0.05), and physics credits passed (p < 0.05) are factors uniquely associated with learning biomechanics concepts. Students' confidence when encountering difficult biomechanics concepts was also significantly (p < 0.05) associated with final grade. There were significant differences between top 15% and bottom 15% achievers on these variables (p < 0.05), as well as on readings completed, work to pay for college per week, and learning epistemology. Consequently, instructors should consider strategies to promote students' interest in biomechanics and confidence in solving relevant professional problems in order to improve learning for both low- and high-ability students.

  15. Design Guide for Earth System Science Education: Common Student Learning Objectives and Special Pedagogical Approaches

    NASA Astrophysics Data System (ADS)

    Baker, D.

    2006-12-01

    As part of the NASA-supported undergraduate Earth System Science Education (ESSE) program, fifty-seven institutions have developed and implemented a wide range of Earth system science (ESS) courses, pedagogies, and evaluation tools. The Teaching, Learning, and Evaluation section of USRA's online ESSE Design Guide showcases these ESS learning environments. This Design Guide section also provides resources for faculty who wish to develop ESS courses. It addresses important course design issues including prior student knowledge and interests, student learning objectives, learning resources, pedagogical approaches, and assessments tied to student learning objectives. The ESSE Design Guide provides links to over 130 ESS course syllabi at introductory, senior, and graduate levels. ESS courses over the past 15 years exhibit common student learning objectives and unique pedagogical approaches. From analysis of ESS course syllabi, seven common student learning objectives emerged: 1) demonstrate systems thinking, 2) develop an ESS knowledge base, 3) apply ESS to the human dimension, 4) expand and apply analytical skills, 5) improve critical thinking skills, 6) build professional/career skills, and 7) acquire an enjoyment and appreciation for science. To meet these objectives, ESSE often requires different ways of teaching than in traditional scientific disciplines. This presentation will highlight some especially successful pedagogical approaches for creating positive and engaging ESS learning environments.

  16. Toward Self-Referential Autonomous Learning of Object and Situation Models.

    PubMed

    Damerow, Florian; Knoblauch, Andreas; Körner, Ursula; Eggert, Julian; Körner, Edgar

    2016-01-01

    Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referential autonomous learning which enables the refinement of object and situation models during operation in order to optimize behavior. This includes structural learning of hierarchical models for situations and behaviors that is triggered by a mismatch between expected and actual action outcome. Besides proposing architectural concepts, we also describe a first implementation of our system within a simulated traffic scenario to demonstrate the feasibility of our approach.

  17. Cooperative Learning Effects on Achievement and Community of Inquiry in Online Education

    ERIC Educational Resources Information Center

    Oyarzun, Beth Allred; Morrison, Gary R.

    2013-01-01

    While distance education continues to grow in higher education, students express the concern that they feel isolated. The purpose of this study was to determine if the implementation of a cooperative learning strategy would affect social presence and achievement. Each group completed an individual assignment and a cooperative learning assignment…

  18. Emotional Design in Multimedia: Does Gender and Academic Achievement Influence Learning Outcomes?

    ERIC Educational Resources Information Center

    Kumar, Jeya Amantha; Muniandy, Balakrishnan; Yahaya, Wan Ahmad Jaafar Wan

    2016-01-01

    This study was designed as a preliminary study (N = 33) to explore the effects of gender and academic achievement (Cumulative Grade Point Average-CGPA) on polytechnic students' learning outcomes when exposed to Multimedia Learning Environments (MLE) designed to induce emotions. Three designs namely positive (PosD), neutral (NeuD) and negative…

  19. Multi-Objective Reinforcement Learning for Cognitive Radio-Based Satellite Communications

    NASA Technical Reports Server (NTRS)

    Ferreira, Paulo Victor R.; Paffenroth, Randy; Wyglinski, Alexander M.; Hackett, Timothy M.; Bilen, Sven G.; Reinhart, Richard C.; Mortensen, Dale J.

    2016-01-01

    Previous research on cognitive radios has addressed the performance of various machine-learning and optimization techniques for decision making of terrestrial link properties. In this paper, we present our recent investigations with respect to reinforcement learning that potentially can be employed by future cognitive radios installed onboard satellite communications systems specifically tasked with radio resource management. This work analyzes the performance of learning, reasoning, and decision making while considering multiple objectives for time-varying communications channels, as well as different cross-layer requirements. Based on the urgent demand for increased bandwidth, which is being addressed by the next generation of high-throughput satellites, the performance of cognitive radio is assessed considering links between a geostationary satellite and a fixed ground station operating at Ka-band (26 GHz). Simulation results show multiple objective performance improvements of more than 3.5 times for clear sky conditions and 6.8 times for rain conditions.

  20. Multi-Objective Reinforcement Learning for Cognitive Radio Based Satellite Communications

    NASA Technical Reports Server (NTRS)

    Ferreira, Paulo; Paffenroth, Randy; Wyglinski, Alexander; Hackett, Timothy; Bilen, Sven; Reinhart, Richard; Mortensen, Dale John

    2016-01-01

    Previous research on cognitive radios has addressed the performance of various machine learning and optimization techniques for decision making of terrestrial link properties. In this paper, we present our recent investigations with respect to reinforcement learning that potentially can be employed by future cognitive radios installed onboard satellite communications systems specifically tasked with radio resource management. This work analyzes the performance of learning, reasoning, and decision making while considering multiple objectives for time-varying communications channels, as well as different crosslayer requirements. Based on the urgent demand for increased bandwidth, which is being addressed by the next generation of high-throughput satellites, the performance of cognitive radio is assessed considering links between a geostationary satellite and a fixed ground station operating at Ka-band (26 GHz). Simulation results show multiple objective performance improvements of more than 3:5 times for clear sky conditions and 6:8 times for rain conditions.

  1. The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

    ERIC Educational Resources Information Center

    Shin, Won Sug; Kang, Minseok

    2015-01-01

    This study investigates online students' acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning's acceptance, and…

  2. It's all connected: Pathways in visual object recognition and early noun learning.

    PubMed

    Smith, Linda B

    2013-11-01

    A developmental pathway may be defined as the route, or chain of events, through which a new structure or function forms. For many human behaviors, including object name learning and visual object recognition, these pathways are often complex and multicausal and include unexpected dependencies. This article presents three principles of development that suggest the value of a developmental psychology that explicitly seeks to trace these pathways and uses empirical evidence on developmental dependencies among motor development, action on objects, visual object recognition, and object name learning in 12- to 24-month-old infants to make the case. The article concludes with a consideration of the theoretical implications of this approach. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

  3. Sex and spatial position effects on object location memory following intentional learning of object identities.

    PubMed

    Alexander, Gerianne M; Packard, Mark G; Peterson, Bradley S

    2002-01-01

    Memory for object location relative both to veridical center (left versus right visual hemispace) and to eccentricity (central versus peripheral objects) was measured in 26 males and 25 females using the Silverman and Eals Location Memory Task. A subset of participants (17 males and 13 females) also completed a measure of implicit learning, the mirror-tracing task. No sex differences were observed in memory for object identities. Further, in both sexes, memory for object locations was better for peripherally located objects than for centrally located objects. In contrast to these similarities in female and male task performance, females but not males showed better recovery of object locations in the right compared to the left visual hemispace. Moreover, memory for object locations in the right hemispace was associated with mirror-tracing performance in women but not in men. Together, these data suggest that the processing of object features and object identification in the left cerebral hemisphere may include processing of spatial information that may contribute to superior object location memory in females relative to males.

  4. Internal attention to features in visual short-term memory guides object learning

    PubMed Central

    Fan, Judith E.; Turk-Browne, Nicholas B.

    2013-01-01

    Attending to objects in the world affects how we perceive and remember them. What are the consequences of attending to an object in mind? In particular, how does reporting the features of a recently seen object guide visual learning? In three experiments, observers were presented with abstract shapes in a particular color, orientation, and location. After viewing each object, observers were cued to report one feature from visual short-term memory (VSTM). In a subsequent test, observers were cued to report features of the same objects from visual long-term memory (VLTM). We tested whether reporting a feature from VSTM: (1) enhances VLTM for just that feature (practice-benefit hypothesis), (2) enhances VLTM for all features (object-based hypothesis), or (3) simultaneously enhances VLTM for that feature and suppresses VLTM for unreported features (feature-competition hypothesis). The results provided support for the feature-competition hypothesis, whereby the representation of an object in VLTM was biased towards features reported from VSTM and away from unreported features (Experiment 1). This bias could not be explained by the amount of sensory exposure or response learning (Experiment 2) and was amplified by the reporting of multiple features (Experiment 3). Taken together, these results suggest that selective internal attention induces competitive dynamics among features during visual learning, flexibly tuning object representations to align with prior mnemonic goals. PMID:23954925

  5. Internal attention to features in visual short-term memory guides object learning.

    PubMed

    Fan, Judith E; Turk-Browne, Nicholas B

    2013-11-01

    Attending to objects in the world affects how we perceive and remember them. What are the consequences of attending to an object in mind? In particular, how does reporting the features of a recently seen object guide visual learning? In three experiments, observers were presented with abstract shapes in a particular color, orientation, and location. After viewing each object, observers were cued to report one feature from visual short-term memory (VSTM). In a subsequent test, observers were cued to report features of the same objects from visual long-term memory (VLTM). We tested whether reporting a feature from VSTM: (1) enhances VLTM for just that feature (practice-benefit hypothesis), (2) enhances VLTM for all features (object-based hypothesis), or (3) simultaneously enhances VLTM for that feature and suppresses VLTM for unreported features (feature-competition hypothesis). The results provided support for the feature-competition hypothesis, whereby the representation of an object in VLTM was biased towards features reported from VSTM and away from unreported features (Experiment 1). This bias could not be explained by the amount of sensory exposure or response learning (Experiment 2) and was amplified by the reporting of multiple features (Experiment 3). Taken together, these results suggest that selective internal attention induces competitive dynamics among features during visual learning, flexibly tuning object representations to align with prior mnemonic goals. Copyright © 2013 Elsevier B.V. All rights reserved.

  6. Professional Learning Communities: Teachers' Perceptions and Student Achievement

    ERIC Educational Resources Information Center

    Peters, Erica

    2013-01-01

    Professional Learning Communities (PLC's) are designed to help schools improve student achievement; all decisions are based on the needs of students. PLC's are an effective way to receive professional development (PD), allow for collaboration with fellow teachers, and offer timely intervention to all students. In a district known for PLC…

  7. The Effects of Professional Learning Communities on Student Achievement

    ERIC Educational Resources Information Center

    Burdett, John M.

    2009-01-01

    The purpose of this study was to examine data from the Early Childhood Longitudinal Study: Kindergarten Class of 1998-99 (ECLS-K) report, identify questions and statements that correlate to the dimensions of professional learning communities (PLCs), and determine the effect PLCs have on student achievement based on the ECLS-K data. In addition,…

  8. Fact Retrieval Deficits in Low Achieving Children and Children with Mathematical Learning Disability

    ERIC Educational Resources Information Center

    Geary, David C.; Hoard, Mary K.; Bailey, Drew H.

    2012-01-01

    Using 4 years of mathematics achievement scores, groups of typically achieving children (n = 101) and low achieving children with mild (LA-mild fact retrieval; n = 97) and severe (LA-severe fact retrieval; n = 18) fact retrieval deficits and mathematically learning disabled children (MLD; n = 15) were identified. Multilevel models contrasted…

  9. LABRADOR: a learning autonomous behavior-based robot for adaptive detection and object retrieval

    NASA Astrophysics Data System (ADS)

    Yamauchi, Brian; Moseley, Mark; Brookshire, Jonathan

    2013-01-01

    As part of the TARDEC-funded CANINE (Cooperative Autonomous Navigation in a Networked Environment) Program, iRobot developed LABRADOR (Learning Autonomous Behavior-based Robot for Adaptive Detection and Object Retrieval). LABRADOR was based on the rugged, man-portable, iRobot PackBot unmanned ground vehicle (UGV) equipped with an explosives ordnance disposal (EOD) manipulator arm and a custom gripper. For LABRADOR, we developed a vision-based object learning and recognition system that combined a TLD (track-learn-detect) filter based on object shape features with a color-histogram-based object detector. Our vision system was able to learn in real-time to recognize objects presented to the robot. We also implemented a waypoint navigation system based on fused GPS, IMU (inertial measurement unit), and odometry data. We used this navigation capability to implement autonomous behaviors capable of searching a specified area using a variety of robust coverage strategies - including outward spiral, random bounce, random waypoint, and perimeter following behaviors. While the full system was not integrated in time to compete in the CANINE competition event, we developed useful perception, navigation, and behavior capabilities that may be applied to future autonomous robot systems.

  10. Using Student e-Portfolios to Facilitate Learning Objective Achievements in an Outcome-Based University

    ERIC Educational Resources Information Center

    Tubaishat, Abdallah; Lansari, Azzedine

    2013-01-01

    Several researchers define e-portfolios as a digital collection of students' work accomplished throughout their time of studies in an academic program (Buzzetto-More, 2006; Love, McKean and Gathercoal, 2004; Paulson, Paulson, & Meyer, 1991; Siemens, 2004). E-portfolios can be a rich resource for students and faculty. Students learn to identify…

  11. Increasing Metacomprehension in Learning Disabled and Normally Achieving Students through Self-Questioning Training.

    ERIC Educational Resources Information Center

    Wong, Bernice Y. L.; Jones, Wayne

    1982-01-01

    Training to self-monitor reading comprehension was undertaken with 120 learning disabled eighth and ninth graders and normally achieving sixth graders. It was hypothesized that insufficient metacomprehension is one possible cause underlying learning disabled adolescents' comprehension problems. (Author/SEW)

  12. Effects of Semantic Web Based Learning on Pre-Service Teachers' ICT Learning Achievement and Satisfaction

    ERIC Educational Resources Information Center

    Karalar, Halit; Korucu, Agah Tugrul

    2016-01-01

    Although the Semantic Web offers many opportunities for learners, effects of it in the classroom is not well known. Therefore, in this study explanations have been stated as how the learning objects defined by means of using the terminology in a developed ontology and kept in objects repository should be presented to learners with the aim of…

  13. Validity of Assessment and Recognition of Non-Formal and Informal Learning Achievements in Higher Education

    ERIC Educational Resources Information Center

    Kaminskiene, Lina; Stasiunaitiene, Egle

    2013-01-01

    The article identifies the validity of assessment of non-formal and informal learning achievements (NILA) as one of the key factors for encouraging further development of the process of assessing and recognising non-formal and informal learning achievements in higher education. The authors analyse why the recognition of non-formal and informal…

  14. Investigation of Technology Integrated Instruction in Art Education: A Case Study of Exploring Learning Achievement

    ERIC Educational Resources Information Center

    Lee, Szu Hsin; Tseng, Hui Ching

    2008-01-01

    In today's studies of how computer technologies are used in college art lessons, limited examples are focused on both digital instructional technology design and learning achievement. This study attempts to measure the learning achievement of college students from two intact groups in an art class when a multimedia form of instruction was utilized…

  15. Differences in How Monolingual and Bilingual Children Learn Second Labels for Familiar Objects

    ERIC Educational Resources Information Center

    Rowe, Lindsey; Jacobson, Rebecca; Saylor, Megan M.

    2015-01-01

    Monolingual children sometimes resist learning second labels for familiar objects. One explanation is that they are guided by word learning constraints that lead to the assumption that objects have only one name. It is less clear whether bilingual children observe this constraint. In the current study, we test the hypothesis that bilingual…

  16. Learning the 3-D structure of objects from 2-D views depends on shape, not format

    PubMed Central

    Tian, Moqian; Yamins, Daniel; Grill-Spector, Kalanit

    2016-01-01

    Humans can learn to recognize new objects just from observing example views. However, it is unknown what structural information enables this learning. To address this question, we manipulated the amount of structural information given to subjects during unsupervised learning by varying the format of the trained views. We then tested how format affected participants' ability to discriminate similar objects across views that were rotated 90° apart. We found that, after training, participants' performance increased and generalized to new views in the same format. Surprisingly, the improvement was similar across line drawings, shape from shading, and shape from shading + stereo even though the latter two formats provide richer depth information compared to line drawings. In contrast, participants' improvement was significantly lower when training used silhouettes, suggesting that silhouettes do not have enough information to generate a robust 3-D structure. To test whether the learned object representations were format-specific or format-invariant, we examined if learning novel objects from example views transfers across formats. We found that learning objects from example line drawings transferred to shape from shading and vice versa. These results have important implications for theories of object recognition because they suggest that (a) learning the 3-D structure of objects does not require rich structural cues during training as long as shape information of internal and external features is provided and (b) learning generates shape-based object representations independent of the training format. PMID:27153196

  17. Participation and Achievement in Enterprise MOOCs for Professional Learning

    ERIC Educational Resources Information Center

    Schwerer, Florian; Egloffstein, Marc

    2016-01-01

    This paper presents initial results of an empirical study describing participation and achievement in Enterprise MOOCs for professional learning. In a case study, five courses from openSAP, the MOOC offering of SAP SE, with a total sample of n = 9994 have been surveyed. The results indicate a strong solution-market fit for Enterprise MOOCs in the…

  18. Blended Learning vs. Traditional Instruction as a Predictor of Student Achievement in New York City Public Schools

    ERIC Educational Resources Information Center

    Murray, Anthony

    2017-01-01

    This study explored the differences in student achievement on New York State standardized tests between blended learning and traditional instructional methodologies. Specifically, the study compared student achievement in iLearnNYC schools, to their peer schools that deliver instruction in a traditional manner. iLearnNYC is a blended learning…

  19. Neural correlates of object-in-place learning in hippocampus and prefrontal cortex.

    PubMed

    Kim, Jangjin; Delcasso, Sébastien; Lee, Inah

    2011-11-23

    Hippocampus and prefrontal cortex (PFC) process spatiotemporally discrete events while maintaining goal-directed task demands. Although some studies have reported that neural activities in the two regions are coordinated, such observations have rarely been reported in an object-place paired-associate (OPPA) task in which animals must learn an object-in-place rule. In this study, we recorded single units and local field potentials simultaneously from the CA1 subfield of the hippocampus and PFC as rats learned that Object A, but not Object B, was rewarded in Place 1, but not in Place 2 (vice versa for Object B). Both hippocampus and PFC are required for normal performance in this task. PFC neurons fired in association with the regularity of the occurrence of a certain type of event independent of space, whereas neuronal firing in CA1 was spatially localized for representing a discrete place. Importantly, the differential firing patterns were observed in tandem with common learning-related changes in both regions. Specifically, once OPPA learning occurred and rats used an object-in-place strategy, (1) both CA1 and PFC neurons exhibited spatially more similar and temporally more synchronized firing patterns, (2) spiking activities in both regions were more phase locked to theta rhythms, and (3) CA1-medial PFC coherence in theta oscillation was maximal before entering a critical place for decision making. The results demonstrate differential as well as common neural dynamics between hippocampus and PFC in acquiring the OPPA task and strongly suggest that both regions form a unified functional network for processing an episodic event.

  20. Neural correlates of object-in-place learning in hippocampus and prefrontal cortex

    PubMed Central

    Kim, Jangjin; Delcasso, Sébastien; Lee, Inah

    2011-01-01

    Hippocampus and prefrontal cortex (PFC) process spatiotemporally discrete events while maintaining goal-directed task demands. Although some studies have reported that neural activities in the two regions are coordinated, such observations have rarely been reported in an object-place paired-associate (OPPA) task in which animals must learn an object-in-place rule. In this study, we recorded single units and local field potentials simultaneously from the CA1 subfield of the hippocampus and PFC as rats learned that object A, but not object B, was rewarded in place 1, but not in place 2 (vice versa for object B). Both hippocampus and PFC are required for normal performance in this task. PFC neurons fired in association with the regularity of the occurrence of a certain type of event independent of space, whereas neuronal firing in CA1 was spatially localized for representing a discrete place. Importantly, the differential firing patterns were observed in tandem with common learning-related changes in both regions. Specifically, once OPPA learning occurred and rats used an object-in-place strategy, (i) both CA1 and PFC neurons exhibited spatially more similar and temporally more synchronized firing patterns, (ii) spiking activities in both regions were more phase-locked to theta rhythms, (iii) CA1-mPFC coherence in theta oscillation was maximal before entering a critical place for decision making. The results demonstrate differential as well as common neural dynamics between hippocampus and PFC in acquiring the OPPA task and strongly suggest that both regions form a unified functional network for processing an episodic event. PMID:22114269

  1. Cognitive Task Analysis of Experts in Designing Multimedia Learning Object Guideline (M-LOG)

    ERIC Educational Resources Information Center

    Razak, Rafiza Abdul; Palanisamy, Punithavathy

    2013-01-01

    The purpose of this study was to design and develop a set of guidelines for multimedia learning objects to inform instructional designers (IDs) about the procedures involved in the process of content analysis. This study was motivated by the absence of standardized procedures in the beginning phase of the multimedia learning object design which is…

  2. Object-based implicit learning in visual search: perceptual segmentation constrains contextual cueing.

    PubMed

    Conci, Markus; Müller, Hermann J; von Mühlenen, Adrian

    2013-07-09

    In visual search, detection of a target is faster when it is presented within a spatial layout of repeatedly encountered nontarget items, indicating that contextual invariances can guide selective attention (contextual cueing; Chun & Jiang, 1998). However, perceptual regularities may interfere with contextual learning; for instance, no contextual facilitation occurs when four nontargets form a square-shaped grouping, even though the square location predicts the target location (Conci & von Mühlenen, 2009). Here, we further investigated potential causes for this interference-effect: We show that contextual cueing can reliably occur for targets located within the region of a segmented object, but not for targets presented outside of the object's boundaries. Four experiments demonstrate an object-based facilitation in contextual cueing, with a modulation of context-based learning by relatively subtle grouping cues including closure, symmetry, and spatial regularity. Moreover, the lack of contextual cueing for targets located outside the segmented region was due to an absence of (latent) learning of contextual layouts, rather than due to an attentional bias towards the grouped region. Taken together, these results indicate that perceptual segmentation provides a basic structure within which contextual scene regularities are acquired. This in turn argues that contextual learning is constrained by object-based selection.

  3. The Effects of Achievement Goals and Self-Regulated Learning Behaviors on Reading Comprehension in Technology-Enhanced Learning Environments

    ERIC Educational Resources Information Center

    Bernacki, Matthew L.; Byrnes, James P.; Cromley, Jennifer G.

    2012-01-01

    Studies examining students' achievement goals, cognitive engagement strategies and performance have found that achievement goals tend to predict classes of cognitive strategy use which predict performance on measures of learning. These studies have led to deeper theoretical understanding, but their reliance on self-report data limit the…

  4. Effects of Cooperative Learning on Achievement and Attitude among Students of Color.

    ERIC Educational Resources Information Center

    Vaughan, Winston

    2002-01-01

    Investigated the effects of cooperative learning on achievement in and attitudes toward mathematics among fifth graders of color in a culture different from that of the United States (Bermuda). Participants completed parts of the California Achievement Test and Penelope Peterson's Attitude Toward Mathematics Scale. Pre-test and post-test data…

  5. Objects Classification by Learning-Based Visual Saliency Model and Convolutional Neural Network.

    PubMed

    Li, Na; Zhao, Xinbo; Yang, Yongjia; Zou, Xiaochun

    2016-01-01

    Humans can easily classify different kinds of objects whereas it is quite difficult for computers. As a hot and difficult problem, objects classification has been receiving extensive interests with broad prospects. Inspired by neuroscience, deep learning concept is proposed. Convolutional neural network (CNN) as one of the methods of deep learning can be used to solve classification problem. But most of deep learning methods, including CNN, all ignore the human visual information processing mechanism when a person is classifying objects. Therefore, in this paper, inspiring the completed processing that humans classify different kinds of objects, we bring forth a new classification method which combines visual attention model and CNN. Firstly, we use the visual attention model to simulate the processing of human visual selection mechanism. Secondly, we use CNN to simulate the processing of how humans select features and extract the local features of those selected areas. Finally, not only does our classification method depend on those local features, but also it adds the human semantic features to classify objects. Our classification method has apparently advantages in biology. Experimental results demonstrated that our method made the efficiency of classification improve significantly.

  6. The Impact of Supported and Annotated Mobile Learning on Achievement and Cognitive Load

    ERIC Educational Resources Information Center

    Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min; Liu, Tzu-Yu

    2015-01-01

    We designed activities for learning English as a foreign language in a mobile learning environment with familiar authentic support for this study. Students learned at school and then applied their newly gained knowledge to solve daily life problems by first using a tablet to take pictures of objects they wished to learn about, then describing them…

  7. A Neuroscientific Perspective on Second Language Learning and Academic Achievement.

    ERIC Educational Resources Information Center

    Hawson, Anne

    It is proposed that research on neurological organization, cognitive psychology, and artificial intelligence can contribute to understanding the relationship between second language learning processes and academic achievement. Relevant research in these areas and in the field of neurolinguistics is reviewed, with several themes or topics…

  8. Using the Learning Together Strategy to Affect Student Achievement in Physical Science

    NASA Astrophysics Data System (ADS)

    Campbell, Manda D.

    Despite efforts mandated by national legislation, the state of Georgia has made little progress in improving Grade 5 students' standardized test scores in science, spurring the need for social change. The purpose of this quantitative causal-comparative study was to determine whether there was a significant difference in the student achievement in the conceptual understanding of science concepts in a classroom where the teacher applied the cooperative learning strategy, Learning Together, as compared to the classroom in which teacher-directed instruction was applied. The theories of positive social interdependence and social development, which posit that social interaction promotes cognitive gains, provided a framework for the study. A convenience sample of 38 students in Grade 5 participated in the 6-week study. Nineteen students received the cooperative learning strategy treatment, while 19 students did not. Pre- and post-tests were administered to students in both groups, and an analysis of variance was performed to examine differences between the 2 sample means. Results indicated that the group receiving the cooperative learning strategy scored significantly higher than did the control group receiving direct instruction. The experimental group also scored higher in vocabulary acquisition. Using the cooperative learning strategy of Learning Together could guide teachers' efforts to help students achieve excellent state-mandated test scores. Learning Together may be employed as a powerful teaching tool across grade levels and content areas, thus promoting positive gains in other state-mandated testing areas such as math, language arts, and social studies.

  9. The relationship of learning motivation, achievement and satisfaction for nurses learning simple excel VBA information systems programming.

    PubMed

    Lee, Ying Li; Chien, Tsai Feng; Kuo, Ming Chuan; Chang, Polun

    2014-01-01

    This study aims to understand the relationship between participating nurses' motivation, achievement and satisfaction before and after they learned to program in Excel Visual Basic for Applications (Excel VBA). We held a workshop to train nurses in developing simple Excel VBA information systems to support their clinical or administrative practices. Before and after the workshop, the participants were evaluated on their knowledge of Excel VBA, and a questionnaire was given to survey their learning motivation and satisfaction. Statistics softwares Winsteps and SPSS were used for data analysis. Results show that the participants are more knowledgeable about VBA as well as more motivated in learning VBA after the workshop. Participants were highly satisfied with the overall arrangement of the workshop and instructors, but didn't have enough confidence in promoting the application of Excel VBA themselves. In addition, we were unable to predict the participants' achievement by their demographic characteristics or pre-test motivation level.

  10. The Effects of Multimedia and Learning Style on Student Achievement in Online Electronics Course

    ERIC Educational Resources Information Center

    Surjono, Herman Dwi

    2015-01-01

    This experimental study investigated the effects of multimedia preferences and learning styles on undergraduate student achievement in an adaptive e-learning system for electronics course at the Yogyakarta State University Indonesia. The findings showed that students in which their multimedia preferences and learning style matched with the way the…

  11. Learned Helplessness and Psychological Adjustment: Effects of Age, Gender and Academic Achievement.

    ERIC Educational Resources Information Center

    Valas, Harald

    2001-01-01

    Studied the relationships among academic achievement, learned helplessness, and psychological adjustment (self-esteem and depression), controlled for gender and age, for 1,580 students with data collected in grades 3 and 4, 6 and 7, and 8 and 9. Results show that academic achievement is directly and indirectly related to the pattern of…

  12. Model of Distributed Learning Objects Repository for a Heterogenic Internet Environment

    ERIC Educational Resources Information Center

    Kaczmarek, Jerzy; Landowska, Agnieszka

    2006-01-01

    In this article, an extension of the existing structure of learning objects is described. The solution addresses the problem of the access and discovery of educational resources in the distributed Internet environment. An overview of e-learning standards, reference models, and problems with educational resources delivery is presented. The paper…

  13. Development and Implementation of a Learning Object Repository for French Teaching and Learning: Issues and Promises

    ERIC Educational Resources Information Center

    Caws, Catherine

    2008-01-01

    This paper discusses issues surrounding the development of a learning object repository (FLORE) for teaching and learning French at the postsecondary level. An evaluation based on qualitative and quantitative data was set up in order to better assess how second-language (L2) students in French perceived the integration of this new repository into…

  14. Active learning in the lecture theatre using 3D printed objects.

    PubMed

    Smith, David P

    2016-01-01

    The ability to conceptualize 3D shapes is central to understanding biological processes. The concept that the structure of a biological molecule leads to function is a core principle of the biochemical field. Visualisation of biological molecules often involves vocal explanations or the use of two dimensional slides and video presentations. A deeper understanding of these molecules can however be obtained by the handling of objects. 3D printed biological molecules can be used as active learning tools to stimulate engagement in large group lectures. These models can be used to build upon initial core knowledge which can be delivered in either a flipped form or a more didactic manner. Within the teaching session the students are able to learn by handling, rotating and viewing the objects to gain an appreciation, for example, of an enzyme's active site or the difference between the major and minor groove of DNA. Models and other artefacts can be handled in small groups within a lecture theatre and act as a focal point to generate conversation. Through the approach presented here core knowledge is first established and then supplemented with high level problem solving through a "Think-Pair-Share" cooperative learning strategy. The teaching delivery was adjusted based around experiential learning activities by moving the object from mental cognition and into the physical environment. This approach led to students being able to better visualise biological molecules and a positive engagement in the lecture. The use of objects in teaching allows the lecturer to create interactive sessions that both challenge and enable the student.

  15. Active learning in the lecture theatre using 3D printed objects

    PubMed Central

    Smith, David P.

    2016-01-01

    The ability to conceptualize 3D shapes is central to understanding biological processes. The concept that the structure of a biological molecule leads to function is a core principle of the biochemical field. Visualisation of biological molecules often involves vocal explanations or the use of two dimensional slides and video presentations. A deeper understanding of these molecules can however be obtained by the handling of objects. 3D printed biological molecules can be used as active learning tools to stimulate engagement in large group lectures. These models can be used to build upon initial core knowledge which can be delivered in either a flipped form or a more didactic manner. Within the teaching session the students are able to learn by handling, rotating and viewing the objects to gain an appreciation, for example, of an enzyme’s active site or the difference between the major and minor groove of DNA. Models and other artefacts can be handled in small groups within a lecture theatre and act as a focal point to generate conversation. Through the approach presented here core knowledge is first established and then supplemented with high level problem solving through a "Think-Pair-Share" cooperative learning strategy. The teaching delivery was adjusted based around experiential learning activities by moving the object from mental cognition and into the physical environment. This approach led to students being able to better visualise biological molecules and a positive engagement in the lecture. The use of objects in teaching allows the lecturer to create interactive sessions that both challenge and enable the student. PMID:27366318

  16. Semantic Linking of Learning Object Repositories to DBpedia

    ERIC Educational Resources Information Center

    Lama, Manuel; Vidal, Juan C.; Otero-Garcia, Estefania; Bugarin, Alberto; Barro, Senen

    2012-01-01

    Large-sized repositories of learning objects (LOs) are difficult to create and also to maintain. In this paper we propose a way to reduce this drawback by improving the classification mechanisms of the LO repositories. Specifically, we present a solution to automate the LO classification of the Universia repository, a collection of more than 15…

  17. Comparison of Pharmaceutical Calculations Learning Outcomes Achieved Within a Traditional Lecture or Flipped Classroom Andragogy.

    PubMed

    Anderson, H Glenn; Frazier, Lisa; Anderson, Stephanie L; Stanton, Robert; Gillette, Chris; Broedel-Zaugg, Kim; Yingling, Kevin

    2017-05-01

    Objective. To compare learning outcomes achieved from a pharmaceutical calculations course taught in a traditional lecture (lecture model) and a flipped classroom (flipped model). Methods. Students were randomly assigned to the lecture model and the flipped model. Course instructors, content, assessments, and instructional time for both models were equivalent. Overall group performance and pass rates on a standardized assessment (Pcalc OSCE) were compared at six weeks and at six months post-course completion. Results. Student mean exam scores in the flipped model were higher than those in the lecture model at six weeks and six months later. Significantly more students passed the OSCE the first time in the flipped model at six weeks; however, this effect was not maintained at six months. Conclusion. Within a 6 week course of study, use of a flipped classroom improves student pharmacy calculation skill achievement relative to a traditional lecture andragogy. Further study is needed to determine if the effect is maintained over time.

  18. Comparison of Pharmaceutical Calculations Learning Outcomes Achieved Within a Traditional Lecture or Flipped Classroom Andragogy

    PubMed Central

    Frazier, Lisa; Anderson, Stephanie L.; Stanton, Robert; Gillette, Chris; Broedel-Zaugg, Kim; Yingling, Kevin

    2017-01-01

    Objective. To compare learning outcomes achieved from a pharmaceutical calculations course taught in a traditional lecture (lecture model) and a flipped classroom (flipped model). Methods. Students were randomly assigned to the lecture model and the flipped model. Course instructors, content, assessments, and instructional time for both models were equivalent. Overall group performance and pass rates on a standardized assessment (Pcalc OSCE) were compared at six weeks and at six months post-course completion. Results. Student mean exam scores in the flipped model were higher than those in the lecture model at six weeks and six months later. Significantly more students passed the OSCE the first time in the flipped model at six weeks; however, this effect was not maintained at six months. Conclusion. Within a 6 week course of study, use of a flipped classroom improves student pharmacy calculation skill achievement relative to a traditional lecture andragogy. Further study is needed to determine if the effect is maintained over time. PMID:28630511

  19. Learning Object Names at Different Hierarchical Levels Using Cross-Situational Statistics

    ERIC Educational Resources Information Center

    Chen, Chi-hsin; Zhang, Yayun; Yu, Chen

    2018-01-01

    Objects in the world usually have names at different hierarchical levels (e.g., "beagle," "dog," "animal"). This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use…

  20. To What Extent Can the Big Five and Learning Styles Predict Academic Achievement

    ERIC Educational Resources Information Center

    Köseoglu, Yaman

    2016-01-01

    Personality traits and learning styles play defining roles in shaping academic achievement. 202 university students completed the Big Five personality traits questionnaire and the Inventory of Learning Processes Scale and self-reported their grade point averages. Conscientiousness and agreeableness, two of the Big Five personality traits, related…

  1. First Report about an E-learning Application Supporting PBL: Students' Usages, Satisfactions, and Achievements

    ERIC Educational Resources Information Center

    Gurpinar, Erol; Zayim, Nese; Ozenci, Ciler Celik; Alimoglu, Mustafa Kemal

    2009-01-01

    The purpose of the study was to determine applicability of e-learning in problem based learning (PBL) by investigating its usage and acceptability among students and its effect on academic achievement. The study was carried out among first year medical students of Akdeniz University, Turkey. A web-based learning environment (WBLE) including…

  2. The Sloan-C Pillars and Boundary Objects As a Framework for Evaluating Blended Learning

    ERIC Educational Resources Information Center

    Laumakis, Mark; Graham, Charles; Dziuban, Chuck

    2009-01-01

    The authors contend that blended learning represents a boundary object; a construct that brings together constituencies from a variety of backgrounds with each of these cohorts defining the object somewhat differently. The Sloan-C Pillars (learning effectiveness, access, cost effectiveness, student satisfaction, and faculty satisfaction) provide…

  3. Examining the Mediating Effect of Learning Strategies on the Relationship between Students' History Interest and Achievement

    ERIC Educational Resources Information Center

    Dan, Yongjun; Todd, Reese

    2014-01-01

    Research into the effect of interest consistently indicated that interest positively related to students' achievement; however, the mechanism through which it affected the learning result remained an open question. This study intended to examine how learning strategies mediated the relationship between interest and achievement in the domain of…

  4. Learning Achievement Improvement Efforts Course Learn and Learning Using the Jigsaw Method and Card Media in STKIP PGRI Ngawi 2014/2015 Academic Year

    ERIC Educational Resources Information Center

    Haryono

    2015-01-01

    Subject Teaching and Learning is a basic educational courses that must be taken by all student teachers. Class Action Research aims to improve student achievement Teaching and Learning course by applying Jigsaw and media cards. Research procedures using Classroom Action Research (CAR) with multiple cycles. Each cycle includes four phases:…

  5. The Impact of Assessment for Learning: Benefits and Barriers to Student Achievement

    ERIC Educational Resources Information Center

    Collins, Natalie M.

    2012-01-01

    The purpose of this study was to compare growth in student achievement of students in a classroom where the assessment for learning process was either absent from or present in a teacher's practices, and to gather the teacher's and students' perceptions of the benefits and barriers related to growth in student achievement when the…

  6. Task- and self-related pathways to deep learning: the mediating role of achievement goals, classroom attentiveness, and group participation.

    PubMed

    Lau, Shun; Liem, Arief Darmanegara; Nie, Youyan

    2008-12-01

    The expectancy-value and achievement goal theories are arguably the two most dominant theories of achievement motivation in the contemporary literature. However, very few studies have examined how the constructs derived from both theories are related to deep learning. Moreover, although there is evidence demonstrating the links between achievement goals and deep learning, little research has examined the mediating processes involved. The aims of this research were to: (a) investigate the role of task- and self-related beliefs (task value and self-efficacy) as well as achievement goals in predicting deep learning in mathematics and (b) examine how classroom attentiveness and group participation mediated the relations between achievement goals and deep learning. The sample comprised 1,476 Grade-9 students from 39 schools in Singapore. Students' self-efficacy, task value, achievement goals, classroom attentiveness, group participation, and deep learning in mathematics were assessed by a self-reported questionnaire administered on-line. Structural equation modelling was performed to test the hypothesized model linking these variables. Task value was predictive of task-related achievement goals whereas self-efficacy was predictive of task-approach, performance-approach, and performance-avoidance goals. Achievement goals were found to fully mediate the relations between task value and self-efficacy on the one hand, and classroom attentiveness, group participation, and deep learning on the other. Classroom attentiveness and group participation partially mediated the relations between achievement goal adoption and deep learning. The findings suggest that (a) task- and self-related pathways are two possible routes through which students could be motivated to learn and (b) like task-approach goals, performance-approach goals could lead to adaptive processes and outcomes.

  7. Virtual Workshop Environment (VWE): A Taxonomy and Service Oriented Architecture (SOA) Framework for Modularized Virtual Learning Environments (VLE)--Applying the Learning Object Concept to the VLE

    ERIC Educational Resources Information Center

    Paulsson, Fredrik; Naeve, Ambjorn

    2006-01-01

    Based on existing Learning Object taxonomies, this article suggests an alternative Learning Object taxonomy, combined with a general Service Oriented Architecture (SOA) framework, aiming to transfer the modularized concept of Learning Objects to modularized Virtual Learning Environments. The taxonomy and SOA-framework exposes a need for a clearer…

  8. Small Schools Student Learning Objectives, K-3: Reading, Language Arts, Mathematics, Science, Social Studies.

    ERIC Educational Resources Information Center

    Hartl, David, Ed.; And Others

    Developed by primary teachers and elementary principals from small districts in Snohomish and Island counties in Washington, this handbook contains sequenced student learning objectives for grades K-3 in the curriculum areas of reading, language arts, mathematics, science, and social studies. Each student learning objective is correlated to the…

  9. Relationships between the quality of blended learning experience, self-regulated learning, and academic achievement of medical students: a path analysis

    PubMed Central

    Kassab, Salah Eldin; Al-Shafei, Ahmad I; Salem, Abdel Halim; Otoom, Sameer

    2015-01-01

    Purpose This study examined the relationships between the different aspects of students’ course experience, self-regulated learning, and academic achievement of medical students in a blended learning curriculum. Methods Perceptions of medical students (n=171) from the Royal College of Surgeons in Ireland, Medical University of Bahrain (RCSI Bahrain), on the blended learning experience were measured using the Student Course Experience Questionnaire (SCEQ), with an added e-Learning scale. In addition, self-regulated learning was measured using the Motivated Strategies for Learning Questionnaire (MSLQ). Academic achievement was measured by the scores of the students at the end of the course. A path analysis was created to test the relationships between the different study variables. Results Path analysis indicated that the perceived quality of the face-to-face component of the blended experience directly affected the motivation of students. The SCEQ scale “quality of teaching” directly affected two aspects of motivation: control of learning and intrinsic goal orientation. Furthermore, appropriate course workload directly affected the self-efficacy of students. Moreover, the e-Learning scale directly affected students’ peer learning and critical thinking but indirectly affected metacognitive regulation. The resource management regulation strategies, time and study environment, and effort regulation directly affected students’ examination scores (17% of the variance explained). However, there were no significant direct relationships between the SCEQ scales and cognitive learning strategies or examination scores. Conclusion The results of this study will have important implications for designing blended learning courses in medical schools. PMID:25610011

  10. Relationships between the quality of blended learning experience, self-regulated learning, and academic achievement of medical students: a path analysis.

    PubMed

    Kassab, Salah Eldin; Al-Shafei, Ahmad I; Salem, Abdel Halim; Otoom, Sameer

    2015-01-01

    This study examined the relationships between the different aspects of students' course experience, self-regulated learning, and academic achievement of medical students in a blended learning curriculum. Perceptions of medical students (n=171) from the Royal College of Surgeons in Ireland, Medical University of Bahrain (RCSI Bahrain), on the blended learning experience were measured using the Student Course Experience Questionnaire (SCEQ), with an added e-Learning scale. In addition, self-regulated learning was measured using the Motivated Strategies for Learning Questionnaire (MSLQ). Academic achievement was measured by the scores of the students at the end of the course. A path analysis was created to test the relationships between the different study variables. Path analysis indicated that the perceived quality of the face-to-face component of the blended experience directly affected the motivation of students. The SCEQ scale "quality of teaching" directly affected two aspects of motivation: control of learning and intrinsic goal orientation. Furthermore, appropriate course workload directly affected the self-efficacy of students. Moreover, the e-Learning scale directly affected students' peer learning and critical thinking but indirectly affected metacognitive regulation. The resource management regulation strategies, time and study environment, and effort regulation directly affected students' examination scores (17% of the variance explained). However, there were no significant direct relationships between the SCEQ scales and cognitive learning strategies or examination scores. The results of this study will have important implications for designing blended learning courses in medical schools.

  11. Effects of Cooperative Learning on Learning Achievement and Group Working Behavior of Junior Students in Modern French Literature Course

    ERIC Educational Resources Information Center

    Orprayoon, Soudaya

    2014-01-01

    This study reported on the results of a quasi-experimental research to explore the effectiveness of using a cooperative learning method on students' academic achievement, their group working behavior and their perception and opinions towards cooperative learning in a Modern French Literature course. The sample included twelve junior students…

  12. The Relationships among Middle School Students' Motivational Orientations, Learning Strategies, and Academic Achievement

    ERIC Educational Resources Information Center

    McClintic-Gilbert, Megan S.; Corpus, Jennifer Henderlong; Wormington, Stephanie V.; Haimovitz, Kyla

    2013-01-01

    The present study examined the extent to which middle school students' (N = 90) learning strategies mediated the relationship between their motivational orientations and academic achievement. Survey data revealed that higher degrees of intrinsic motivation predicted the use of both deep and surface learning strategies, whereas higher degrees of…

  13. Transforming Clinical Imaging Data for Virtual Reality Learning Objects

    ERIC Educational Resources Information Center

    Trelease, Robert B.; Rosset, Antoine

    2008-01-01

    Advances in anatomical informatics, three-dimensional (3D) modeling, and virtual reality (VR) methods have made computer-based structural visualization a practical tool for education. In this article, the authors describe streamlined methods for producing VR "learning objects," standardized interactive software modules for anatomical sciences…

  14. The Effect of Self-Regulated Learning Strategies on Academic Achievement: A Meta-Analysis Study

    ERIC Educational Resources Information Center

    Ergen, Binnur; Kanadli, Sedat

    2017-01-01

    Problem Statement: Self-regulated learning strategies (cognitive, metacognitive, resource management, and motivational strategies) influence students' academic achievement, conceptual understanding, and motivation. Reviewing the national literature about self-regulated learning strategies, studies have indicated both significant and insignificant…

  15. Follow-Up Study of Reading Achievement in Learning Disabled Children.

    ERIC Educational Resources Information Center

    Gottesman, Ruth L.

    Forty-three learning disabled children referred initially between ages 7 and 14 years to a medical outpatient clinic for developmentally disabled children were evaluated and followed for a period of 5 to 7 years after which their level of academic achievement was reassessed. Initial evaluation included pediatric, neurological and developmental…

  16. Can learning style predict student satisfaction with different instruction methods and academic achievement in medical education?

    PubMed

    Gurpinar, Erol; Alimoglu, Mustafa Kemal; Mamakli, Sumer; Aktekin, Mehmet

    2010-12-01

    The curriculum of our medical school has a hybrid structure including both traditional training (lectures) and problem-based learning (PBL) applications. The purpose of this study was to determine the learning styles of our medical students and investigate the relation of learning styles with each of satisfaction with different instruction methods and academic achievement in them. This study was carried out with the participation of 170 first-year medical students (the participation rate was 91.4%). The researchers prepared sociodemographic and satisfaction questionnaires to determine the characteristics of the participants and their satisfaction levels with traditional training and PBL. The Kolb learning styles inventory was used to explore the learning styles of the study group. The participants completed all forms at the end of the first year of medical education. Indicators of academic achievement were scores of five theoretical block exams and five PBL exams performed throughout the academic year of 2008-2009. The majority of the participants took part in the "diverging" (n = 84, 47.7%) and "assimilating" (n = 73, 41.5%) groups. Numbers of students in the "converging" and "accommodating" groups were 11 (6.3%) and 8 (4.5%), respectively. In all learning style groups, PBL satisfaction scores were significantly higher than those of traditional training. Exam scores for "PBL and traditional training" did not differ among the four learning styles. In logistic regression analysis, learning style (assimilating) predicted student satisfaction with traditional training and success in theoretical block exams. Nothing predicted PBL satisfaction and success. This is the first study conducted among medical students evaluating the relation of learning style with student satisfaction and academic achievement. More research with larger groups is needed to generalize our results. Some learning styles may relate to satisfaction with and achievement in some instruction methods.

  17. Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers.

    PubMed

    Chen, Chi-Hsin; Gershkoff-Stowe, Lisa; Wu, Chih-Yi; Cheung, Hintat; Yu, Chen

    2017-08-01

    Two experiments were conducted to examine adult learners' ability to extract multiple statistics in simultaneously presented visual and auditory input. Experiment 1 used a cross-situational learning paradigm to test whether English speakers were able to use co-occurrences to learn word-to-object mappings and concurrently form object categories based on the commonalities across training stimuli. Experiment 2 replicated the first experiment and further examined whether speakers of Mandarin, a language in which final syllables of object names are more predictive of category membership than English, were able to learn words and form object categories when trained with the same type of structures. The results indicate that both groups of learners successfully extracted multiple levels of co-occurrence and used them to learn words and object categories simultaneously. However, marked individual differences in performance were also found, suggesting possible interference and competition in processing the two concurrent streams of regularities. Copyright © 2016 Cognitive Science Society, Inc.

  18. Update Your Classroom with Learning Objects and Twenty-First-Century Skills

    ERIC Educational Resources Information Center

    Cramer, Susan R.

    2007-01-01

    Learning objects are instructional materials found on the Internet that can be used to illustrate, support, supplement, or assess student learning. Small in size, they can provide instruction that is just enough, just in time, just for you. Is it time to move your classroom into the twenty-first century? In this article, the author explores what…

  19. A Correlation Study among Achievement Motivation, Goal-Setting and L2 Learning Strategy in EFL Context

    ERIC Educational Resources Information Center

    Han, Jing; Lu, Qingsheng

    2018-01-01

    Achievement motivation as one of the most important parts in learning motivation indicates a concern with success in competition with some standard of excellence. Learners who are highly motivated to learn a language are likely to use a variety of strategies. Besides achievement motivation, goal setting, a very important cognitive mediator between…

  20. Student Characteristics, Sense of Community, and Cognitive Achievement in Web-Based and Lab-Based Learning Environments

    ERIC Educational Resources Information Center

    Overbaugh, Richard C.; Lin, ShinYi

    2006-01-01

    This study investigated differential effects of learning styles and learning orientation on sense of community and cognitive achievement in Web-based and lab-based university course formats. Students in the Web-based sections achieved higher scores at the "remember" and "understand" levels, but not at the "apply" or "analyze" levels. In terms of…

  1. Technology Enhanced Learning Environments for Closing the Gap in Student Achievement between Regions: Does It Work?

    ERIC Educational Resources Information Center

    Cakir, Hasan; Delialioglu, Omer; Dennis, Alan; Duffy, Thomas

    2009-01-01

    Student achievement gap between urban and suburban regions are a major issue in U.S. schools. Technology enhanced learning environments that support teaching and learning process with advanced technology may close this achievement gap. This paper examines the impact of student and school factors with an emphasis on schools' geographic location on…

  2. SER-LARS, Volume 4. Learning Objective History III. 1975-76 Edition.

    ERIC Educational Resources Information Center

    Montgomery County Intermediate Unit 23, Blue Bell, PA.

    The fourth volume in the SER-LARS (Special Education Resources Location Analysis and Retrieval System) series, a diagnostic-prescriptive instructional data bank for teachers of handicapped children, presents a continuation of learning objectives organized by content descriptions. Entrees give a history of the use of each objective along with…

  3. The Effect of "Here and Now" Learning on Student Engagement and Academic Achievement

    ERIC Educational Resources Information Center

    Northey, Gavin; Govind, Rahul; Bucic, Tania; Chylinski, Mathew; Dolan, Rebecca; van Esch, Patrick

    2018-01-01

    Commitment, persistence and effort have long been considered critical components for an individual's academic success. Yet, according to the old proverb, two heads are better than one and collaborative learning may yield greater benefits than what might be achieved by an individual. Because of this, collaborative learning has been labelled a…

  4. The Influence of Guided Error-Based Learning on Motor Skills Self-Efficacy and Achievement.

    PubMed

    Chien, Kuei-Pin; Chen, Sufen

    2018-01-01

    The authors investigated the role of errors in motor skills teaching, specifically the influence of errors on skills self-efficacy and achievement. The participants were 75 undergraduate students enrolled in pétanque courses. The experimental group (guided error-based learning, n = 37) received a 6-week period of instruction based on the students' errors, whereas the control group (correct motion instruction, n = 38) received a 6-week period of instruction emphasizing correct motor skills. The experimental group had significantly higher scores in motor skills self-efficacy and outcomes than did the control group. Novices' errors reflect their schema in motor skills learning, which provides a basis for instructors to implement student-centered instruction and to facilitate the learning process. Guided error-based learning can effectively enhance beginners' skills self-efficacy and achievement in precision sports such as pétanque.

  5. Positive Feelings towards the Learning of Mathematics for Low Achievers

    ERIC Educational Resources Information Center

    Tong, Cherng Luen; Leong, Yew Hoong; Quek, Khiok Seng

    2013-01-01

    A common area of difficulty and frustration for low achieving students is the operations involving negative numbers. The main objective of our innovations in this area with two classes of Year 7 low achieving students was to develop positive feelings towards mathematics, in particular of an appreciation for the "reasonableness" and clear…

  6. Instructional Learning Objects in the Digital Classroom: Effectively Measuring Impact on Student Success

    ERIC Educational Resources Information Center

    Contrino, Jacline L.

    2016-01-01

    Demonstrating library impact on student success is critical for all academic libraries today. This article discusses how the library of a large online university serving non-traditional students evaluated how customized point-of-need learning objects (LOs) embedded in the learning management system impacted student learning. Using a comprehensive…

  7. The Role of Professional Objects in Technology-Enhanced Learning Environments in Higher Education

    ERIC Educational Resources Information Center

    Zitter, Ilya; de Bruijn, Elly; Simons, Robert-Jan; ten Cate, Olle

    2012-01-01

    We study project-based, technology-enhanced learning environments in higher education, which should produce, by means of specific mechanisms, learning outcomes in terms of transferable knowledge and learning-, thinking-, collaboration- and regulation-skills. Our focus is on the role of objects from professional practice serving as boundary objects…

  8. The Initial Development of Object Knowledge by a Learning Robot

    PubMed Central

    Modayil, Joseph; Kuipers, Benjamin

    2008-01-01

    We describe how a robot can develop knowledge of the objects in its environment directly from unsupervised sensorimotor experience. The object knowledge consists of multiple integrated representations: trackers that form spatio-temporal clusters of sensory experience, percepts that represent properties for the tracked objects, classes that support efficient generalization from past experience, and actions that reliably change object percepts. We evaluate how well this intrinsically acquired object knowledge can be used to solve externally specified tasks including object recognition and achieving goals that require both planning and continuous control. PMID:19953188

  9. Exploring the Impacts of Accelerated Delivery on Student Learning, Achievement and Satisfaction

    ERIC Educational Resources Information Center

    Wilkins, Stephen; Martin, Susan; Walker, Ian

    2010-01-01

    This case study examines the impacts on student learning, achievement and satisfaction when year 13 (final year) students at a large UK sixth-form college take a GCE A level in one year instead of the usual two years. Data relating to the entry qualifications and final A level grades achieved by 879 students on both accelerated and non-accelerated…

  10. Early Adolescents' Enjoyment Experienced in Learning Situations at School and Its Relation to Student Achievement

    ERIC Educational Resources Information Center

    Hagenauer, Gerda; Hascher, Tina

    2014-01-01

    While many studies confirm that positive emotions, including enjoyment, lead to better student achievement, less empirical evidence exists about possible mediator variables that link achievement to enjoyment. It is proposed that achievement and enjoyment form a circular dependency; enjoyment in learning leads to higher achievement but a degree of…

  11. SER-LARS, Volume 3. Learning Objective History II. 1975-76 Edition.

    ERIC Educational Resources Information Center

    Montgomery County Intermediate Unit 23, Blue Bell, PA.

    The third of nine volumes in the SER-LARS (Special Education Resources Location Analysis and Retrieval System) series, a diagnostic-prescriptive instructional data bank for teachers of handicapped children, presents learning objectives organized by content descriptions. Entries give a history of the use of each objective along with information on…

  12. A Study of Perceived Admission and Achievement Barriers of Learning-Disabled Students in Postsecondary Institutions

    ERIC Educational Resources Information Center

    Lamberg, Catherine Denise

    2012-01-01

    Learning-disabled students face ongoing challenges in higher education. Despite efforts to promote recruitment and retention of students with learning disabilities to trade schools, colleges, and universities, barriers to enrollment and academic achievement persist. Barriers for learning-disabled students are not fully understood and might be…

  13. Learning Environments as Basis for Cognitive Achievements of Students in Basic Science Classrooms in Nigeria

    ERIC Educational Resources Information Center

    Atomatofa, Rachel; Okoye, Nnamdi; Igwebuike, Thomas

    2016-01-01

    The nature of classroom learning environments created by teachers had been considered very important for learning to take place effectively. This study investigated the effect of creating constructivist and transmissive learning environments on achievements of science students of different ability levels. 243 students formed the entire study…

  14. To Master or Perform? Exploring Relations between Achievement Goals and Conceptual Change Learning

    ERIC Educational Resources Information Center

    Ranellucci, John; Muis, Krista R.; Duffy, Melissa; Wang, Xihui; Sampasivam, Lavanya; Franco, Gina M.

    2013-01-01

    Background: Research is needed to explore conceptual change in relation to achievement goal orientations and depth of processing. Aims: To address this need, we examined relations between achievement goals, use of deep versus shallow processing strategies, and conceptual change learning using a think-aloud protocol. Sample and Method:…

  15. Cognitive characteristics of learning Java, an object-oriented programming language

    NASA Astrophysics Data System (ADS)

    White, Garry Lynn

    Industry and Academia are moving from procedural programming languages (e.g., COBOL) to object-oriented programming languages, such as Java for the Internet. Past studies in the cognitive aspects of programming have focused primarily on procedural programming languages. Some of the languages used have been Pascal, C, Basic, FORTAN, and COBOL. Object-oriented programming (OOP) represents a new paradigm for computing. Industry is finding that programmers are having difficulty shifting to this new programming paradigm. This instruction in OOP is currently starting in colleges and universities across the country. What are the cognitive aspects for this new OOP language Java? When is a student developmentally ready to handle the cognitive characteristics of the OOP language Java? Which cognitive teaching style is best for this OOP language Java? Questions such as the aforementioned are the focus of this research Such research is needed to improve understanding of the learning process and identify students' difficulties with OOP methods. This can enhance academic teaching and industry training (Scholtz, 1993; Sheetz, 1997; Rosson, 1990). Cognitive development as measured by the Propositional Logic Test, cognitive style as measured by the Hemispheric Mode Indicator, and physical hemispheric dominance as measured by a self-report survey were obtained from thirty-six university students studying Java programming. Findings reveal that physical hemispheric dominance is unrelated to cognitive and programming language variables. However, both procedural and object oriented programming require Piaget's formal operation cognitive level as indicated by the Propositional Logic Test. This is consistent with prior research A new finding is that object oriented programming also requires formal operation cognitive level. Another new finding is that object oriented programming appears to be unrelated to hemispheric cognitive style as indicated by the Hemispheric Mode Indicator (HMI

  16. Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance

    PubMed Central

    Hong, Ha; Solomon, Ethan A.; DiCarlo, James J.

    2015-01-01

    To go beyond qualitative models of the biological substrate of object recognition, we ask: can a single ventral stream neuronal linking hypothesis quantitatively account for core object recognition performance over a broad range of tasks? We measured human performance in 64 object recognition tests using thousands of challenging images that explore shape similarity and identity preserving object variation. We then used multielectrode arrays to measure neuronal population responses to those same images in visual areas V4 and inferior temporal (IT) cortex of monkeys and simulated V1 population responses. We tested leading candidate linking hypotheses and control hypotheses, each postulating how ventral stream neuronal responses underlie object recognition behavior. Specifically, for each hypothesis, we computed the predicted performance on the 64 tests and compared it with the measured pattern of human performance. All tested hypotheses based on low- and mid-level visually evoked activity (pixels, V1, and V4) were very poor predictors of the human behavioral pattern. However, simple learned weighted sums of distributed average IT firing rates exactly predicted the behavioral pattern. More elaborate linking hypotheses relying on IT trial-by-trial correlational structure, finer IT temporal codes, or ones that strictly respect the known spatial substructures of IT (“face patches”) did not improve predictive power. Although these results do not reject those more elaborate hypotheses, they suggest a simple, sufficient quantitative model: each object recognition task is learned from the spatially distributed mean firing rates (100 ms) of ∼60,000 IT neurons and is executed as a simple weighted sum of those firing rates. SIGNIFICANCE STATEMENT We sought to go beyond qualitative models of visual object recognition and determine whether a single neuronal linking hypothesis can quantitatively account for core object recognition behavior. To achieve this, we designed a

  17. Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance.

    PubMed

    Majaj, Najib J; Hong, Ha; Solomon, Ethan A; DiCarlo, James J

    2015-09-30

    To go beyond qualitative models of the biological substrate of object recognition, we ask: can a single ventral stream neuronal linking hypothesis quantitatively account for core object recognition performance over a broad range of tasks? We measured human performance in 64 object recognition tests using thousands of challenging images that explore shape similarity and identity preserving object variation. We then used multielectrode arrays to measure neuronal population responses to those same images in visual areas V4 and inferior temporal (IT) cortex of monkeys and simulated V1 population responses. We tested leading candidate linking hypotheses and control hypotheses, each postulating how ventral stream neuronal responses underlie object recognition behavior. Specifically, for each hypothesis, we computed the predicted performance on the 64 tests and compared it with the measured pattern of human performance. All tested hypotheses based on low- and mid-level visually evoked activity (pixels, V1, and V4) were very poor predictors of the human behavioral pattern. However, simple learned weighted sums of distributed average IT firing rates exactly predicted the behavioral pattern. More elaborate linking hypotheses relying on IT trial-by-trial correlational structure, finer IT temporal codes, or ones that strictly respect the known spatial substructures of IT ("face patches") did not improve predictive power. Although these results do not reject those more elaborate hypotheses, they suggest a simple, sufficient quantitative model: each object recognition task is learned from the spatially distributed mean firing rates (100 ms) of ∼60,000 IT neurons and is executed as a simple weighted sum of those firing rates. Significance statement: We sought to go beyond qualitative models of visual object recognition and determine whether a single neuronal linking hypothesis can quantitatively account for core object recognition behavior. To achieve this, we designed a

  18. Toward Objectivity in Diagnosing Learning Disabilities: Refinement of Established Procedures.

    ERIC Educational Resources Information Center

    Goodman, Marvin; Mina, Elias

    Variability in diagnostic procedures and a lack of valid and reliable measures led to the development of a comprehensive battery, which incorporated an operational definition of learning disabilities. The battery consisted of forms for observing these functions: intelligence, academic achievement, gross and fine motor control, visual perception,…

  19. Indexing Learning Objects: Vocabularies and Empirical Investigation of Consistency

    ERIC Educational Resources Information Center

    Kabel, Suzanne; De Hoog, Robert; Wielinga, Bob; Anjewierden, Anjo

    2004-01-01

    In addition to the LOM standard and instructional design specifications, as well as domain specific indexing vocabularies, a structured indexing vocabulary for the more elementary learning objects is advisable in order to support retrieval tasks of developers. Furthermore, because semantic indexing is seen as a difficult task, three issues…

  20. Reducing statistics anxiety and enhancing statistics learning achievement: effectiveness of a one-minute strategy.

    PubMed

    Chiou, Chei-Chang; Wang, Yu-Min; Lee, Li-Tze

    2014-08-01

    Statistical knowledge is widely used in academia; however, statistics teachers struggle with the issue of how to reduce students' statistics anxiety and enhance students' statistics learning. This study assesses the effectiveness of a "one-minute paper strategy" in reducing students' statistics-related anxiety and in improving students' statistics-related achievement. Participants were 77 undergraduates from two classes enrolled in applied statistics courses. An experiment was implemented according to a pretest/posttest comparison group design. The quasi-experimental design showed that the one-minute paper strategy significantly reduced students' statistics anxiety and improved students' statistics learning achievement. The strategy was a better instructional tool than the textbook exercise for reducing students' statistics anxiety and improving students' statistics achievement.

  1. Learning to explore the structure of kinematic objects in a virtual environment

    PubMed Central

    Buckmann, Marcus; Gaschler, Robert; Höfer, Sebastian; Loeben, Dennis; Frensch, Peter A.; Brock, Oliver

    2015-01-01

    The current study tested the quantity and quality of human exploration learning in a virtual environment. Given the everyday experience of humans with physical object exploration, we document substantial practice gains in the time, force, and number of actions needed to classify the structure of virtual chains, marking the joints as revolute, prismatic, or rigid. In line with current work on skill acquisition, participants could generalize the new and efficient psychomotor patterns of object exploration to novel objects. On the one hand, practice gains in exploration performance could be captured by a negative exponential practice function. On the other hand, they could be linked to strategies and strategy change. After quantifying how much was learned in object exploration and identifying the time course of practice-related gains in exploration efficiency (speed), we identified what was learned. First, we identified strategy components that were associated with efficient (fast) exploration performance: sequential processing, simultaneous use of both hands, low use of pulling rather than pushing, and low use of force. Only the latter was beneficial irrespective of the characteristics of the other strategy components. Second, we therefore characterized efficient exploration behavior by strategies that simultaneously take into account the abovementioned strategy components. We observed that participants maintained a high level of flexibility, sampling from a pool of exploration strategies trading the level of psycho-motoric challenges with exploration speed. We discuss the findings pursuing the aim of advancing intelligent object exploration by combining analytic (object exploration in humans) and synthetic work (object exploration in robots) in the same virtual environment. PMID:25904878

  2. The effect of numbered heads together (NHT) cooperative learning model on the cognitive achievement of students with different academic ability

    NASA Astrophysics Data System (ADS)

    Leasa, Marleny; Duran Corebima, Aloysius

    2017-01-01

    Learning models and academic ability may affect students’ achievement in science. This study, thus aimed to investigate the effect of numbered heads together (NHT) cooperative learning model on elementary students’ cognitive achievement in natural science. This study employed a quasi-experimental design with pretest-posttest non-equivalent control group with 2 x 2 factorial. There were two learning models compared NHT and the conventional, and two academic ability high and low. The results of ana Cova test confirmed the difference in the students’ cognitive achievement based on learning models and general academic ability. However, the interaction between learning models and academic ability did not affect the students’ cognitive achievement. In conclusion, teachers are strongly recommended to be more creative in designing learning using other types of cooperative learning models. Also, schools are required to create a better learning environment which is more cooperative to avoid unfair competition among students in the classroom and as a result improve the students’ academic ability. Further research needs to be conducted to explore the contribution of other aspects in cooperative learning toward cognitive achievement of students with different academic ability.

  3. The Effect of Language Learning Strategies on Proficiency, Attitudes and School Achievement

    PubMed Central

    Habók, Anita; Magyar, Andrea

    2018-01-01

    This study examines language learning strategy (LLS) use in connexion with foreign language attitude, proficiency and general school achievement among lower secondary students in Years 5 and 8 (n = 868) in Hungary. An adapted version of the Strategies Inventory for Language Learning questionnaire was used for data collection. The results showed that Hungarian students mainly engage in metacognitive strategies in both years. Differences between more and less proficient language learners’ strategy use have also been found. With regard to the effect of LLS on foreign language attitude, the foreign language mark and school achievement, path analysis indicated a good fit in both years. The metacognitive, social and memory strategies primarily influenced foreign language attitudes and marks in Year 5. The metacognitive strategies had a slight impact on school achievement as well as on foreign language marks. We demonstrated the dominant effect of metacognitive strategies and the low effect of memory strategies in Year 8. In addition, metacognitive strategies also influenced foreign language marks. The effect of foreign language marks on school achievement was also remarkable. There was a strong impact on the children’s attitudes through these variables. PMID:29379461

  4. The Effect of Language Learning Strategies on Proficiency, Attitudes and School Achievement.

    PubMed

    Habók, Anita; Magyar, Andrea

    2017-01-01

    This study examines language learning strategy (LLS) use in connexion with foreign language attitude, proficiency and general school achievement among lower secondary students in Years 5 and 8 ( n = 868) in Hungary. An adapted version of the Strategies Inventory for Language Learning questionnaire was used for data collection. The results showed that Hungarian students mainly engage in metacognitive strategies in both years. Differences between more and less proficient language learners' strategy use have also been found. With regard to the effect of LLS on foreign language attitude, the foreign language mark and school achievement, path analysis indicated a good fit in both years. The metacognitive, social and memory strategies primarily influenced foreign language attitudes and marks in Year 5. The metacognitive strategies had a slight impact on school achievement as well as on foreign language marks. We demonstrated the dominant effect of metacognitive strategies and the low effect of memory strategies in Year 8. In addition, metacognitive strategies also influenced foreign language marks. The effect of foreign language marks on school achievement was also remarkable. There was a strong impact on the children's attitudes through these variables.

  5. Learning Objectives and the Organization of Prose. Research Bulletin No. 9.

    ERIC Educational Resources Information Center

    Duchastel, Philippe C.

    To establish the joint effects of the orienting factors of structure, learning objectives, and time on the recall of the content of a prose passage, an experiment involving 108 college students was conducted. The study combined two levels of structure (ideationally high and ideationally low) with three conditions of objectives (ideationally high,…

  6. Learning Behaviours of Low-Achieving Children's Mathematics Learning in Using of Helping Tools in a Synchronous Peer-Tutoring System

    ERIC Educational Resources Information Center

    Tsuei, Mengping

    2017-01-01

    This study examined the effects of low-achieving children's use of helping tools in a synchronous mathematics peer-tutoring system on the children's mathematics learning and their learning behaviours. In a remedial class, 16 third-grade students in a remedial class engaged in peer tutoring in a face-to-face synchronous online environment during a…

  7. Comparison of Teacher-Rated Achievement Levels of Behaviorally Disordered, Learning Disabled, and Nonhandicapped Adolescents.

    ERIC Educational Resources Information Center

    Luebke, Jerry; And Others

    1989-01-01

    Teacher ratings on reading recognition, reading comprehension, arithmetic, and written expression revealed that behaviorally disordered and learning-disabled adolescents (N=200) were seen as performing significantly below expected levels of achievement. Differences between behaviorally disordered and learning-disabled students appeared to depend…

  8. Development of national competency-based learning objectives "Medical Informatics" for undergraduate medical education.

    PubMed

    Röhrig, R; Stausberg, J; Dugas, M

    2013-01-01

    The aim of this project is to develop a catalogue of competency-based learning objectives "Medical Informatics" for undergraduate medical education (abbreviated NKLM-MI in German). The development followed a multi-level annotation and consensus process. For each learning objective a reason why a physician needs this competence was required. In addition, each objective was categorized according to the competence context (A = covered by medical informatics, B = core subject of medical informatics, C = optional subject of medical informatics), the competence level (1 = referenced knowledge, 2 = applied knowledge, 3 = routine knowledge) and a CanMEDS competence role (medical expert, communicator, collaborator, manager, health advocate, professional, scholar). Overall 42 objectives in seven areas (medical documentation and information processing, medical classifications and terminologies, information systems in healthcare, health telematics and telemedicine, data protection and security, access to medical knowledge and medical signal-/image processing) were identified, defined and consented. With the NKLM-MI the competences in the field of medical informatics vital to a first year resident physician are identified, defined and operationalized. These competencies are consistent with the recommendations of the International Medical Informatics Association (IMIA). The NKLM-MI will be submitted to the National Competence-Based Learning Objectives for Undergraduate Medical Education. The next step is implementation of these objectives by the faculties.

  9. An Evaluation of Learning Objects in Singapore Primary Education: A Case Study Approach

    ERIC Educational Resources Information Center

    Grace, Tay Pei Lyn; Suan, Ng Peck; Wanzhen, Liaw

    2008-01-01

    Purpose: The purpose of this paper is to evaluate the usability and interface design of e-learning portal developed for primary schools in Singapore. Design/methodology/approach: Using Singapore-based learning EDvantage (LEAD) portal as a case study, this paper reviews and analyses the usability and usefulness of embedded learning objects (LOs)…

  10. A Workflow for Learning Objects Lifecycle and Reuse: Towards Evaluating Cost Effective Reuse

    ERIC Educational Resources Information Center

    Sampson, Demetrios G.; Zervas, Panagiotis

    2011-01-01

    Over the last decade Learning Objects (LOs) have gained a lot of attention as a common format for developing and sharing digital educational content in the field of technology-enhanced learning. The main advantage of LOs is considered to be their potential for component-based reuse in different learning settings supporting different learning…

  11. Self-Regulated Learning Behavior of College Students of Science and Their Academic Achievement

    NASA Astrophysics Data System (ADS)

    Peng, Cuixin

    This study focuses on the relationship between self-regulated learning behavior and their academic achievement of college students of science. For students of science, their involvement in motivational components is closely tied to their performance in the examinations. Cognitive strategies have the strongest influence on scores of the English achievement.

  12. Validation of virtual learning object to support the teaching of nursing care systematization.

    PubMed

    Salvador, Pétala Tuani Candido de Oliveira; Mariz, Camila Maria Dos Santos; Vítor, Allyne Fortes; Ferreira Júnior, Marcos Antônio; Fernandes, Maria Isabel Domingues; Martins, José Carlos Amado; Santos, Viviane Euzébia Pereira

    2018-01-01

    to describe the content validation process of a Virtual Learning Object to support the teaching of nursing care systematization to nursing professionals. methodological study, with quantitative approach, developed according to the methodological reference of Pasquali's psychometry and conducted from March to July 2016, from two-stage Delphi procedure. in the Delphi 1 stage, eight judges evaluated the Virtual Object; in Delphi 2 stage, seven judges evaluated it. The seven screens of the Virtual Object were analyzed as to the suitability of its contents. The Virtual Learning Object to support the teaching of nursing care systematization was considered valid in its content, with a Total Content Validity Coefficient of 0.96. it is expected that the Virtual Object can support the teaching of nursing care systematization in light of appropriate and effective pedagogical approaches.

  13. Learning to detect and combine the features of an object

    PubMed Central

    Suchow, Jordan W.; Pelli, Denis G.

    2013-01-01

    To recognize an object, it is widely supposed that we first detect and then combine its features. Familiar objects are recognized effortlessly, but unfamiliar objects—like new faces or foreign-language letters—are hard to distinguish and must be learned through practice. Here, we describe a method that separates detection and combination and reveals how each improves as the observer learns. We dissociate the steps by two independent manipulations: For each step, we do or do not provide a bionic crutch that performs it optimally. Thus, the two steps may be performed solely by the human, solely by the crutches, or cooperatively, when the human takes one step and a crutch takes the other. The crutches reveal a double dissociation between detecting and combining. Relative to the two-step ideal, the human observer’s overall efficiency for unconstrained identification equals the product of the efficiencies with which the human performs the steps separately. The two-step strategy is inefficient: Constraining the ideal to take two steps roughly halves its identification efficiency. In contrast, we find that humans constrained to take two steps perform just as well as when unconstrained, which suggests that they normally take two steps. Measuring threshold contrast (the faintness of a barely identifiable letter) as it improves with practice, we find that detection is inefficient and learned slowly. Combining is learned at a rate that is 4× higher and, after 1,000 trials, 7× more efficient. This difference explains much of the diversity of rates reported in perceptual learning studies, including effects of complexity and familiarity. PMID:23267067

  14. The Impact of Learning Styles on Student Achievement in a Web-Based versus an Equivalent Face-to-Face Course

    ERIC Educational Resources Information Center

    Zacharis, Nick Z.

    2010-01-01

    This study investigated the relationship between students' learning styles and their achievement in two different learning environments: online instruction and traditional instruction. The results indicated that a) students in the traditional learning group had higher, but not statistically significant higher, levels of achievement than students…

  15. Incrementally learning objects by touch: online discriminative and generative models for tactile-based recognition.

    PubMed

    Soh, Harold; Demiris, Yiannis

    2014-01-01

    Human beings not only possess the remarkable ability to distinguish objects through tactile feedback but are further able to improve upon recognition competence through experience. In this work, we explore tactile-based object recognition with learners capable of incremental learning. Using the sparse online infinite Echo-State Gaussian process (OIESGP), we propose and compare two novel discriminative and generative tactile learners that produce probability distributions over objects during object grasping/palpation. To enable iterative improvement, our online methods incorporate training samples as they become available. We also describe incremental unsupervised learning mechanisms, based on novelty scores and extreme value theory, when teacher labels are not available. We present experimental results for both supervised and unsupervised learning tasks using the iCub humanoid, with tactile sensors on its five-fingered anthropomorphic hand, and 10 different object classes. Our classifiers perform comparably to state-of-the-art methods (C4.5 and SVM classifiers) and findings indicate that tactile signals are highly relevant for making accurate object classifications. We also show that accurate "early" classifications are possible using only 20-30 percent of the grasp sequence. For unsupervised learning, our methods generate high quality clusterings relative to the widely-used sequential k-means and self-organising map (SOM), and we present analyses into the differences between the approaches.

  16. Memory for Object Locations: Priority Effect and Sex Differences in Associative Spatial Learning

    ERIC Educational Resources Information Center

    Cinan, Sevtap; Atalay, Deniz; Sisman, Simge; Basbug, Gokce; Dervent-Ozbek, Sevinc; Teoman, Dalga D.; Karagoz, Ayca; Karadeniz, A. Yezdan; Beykurt, Sinem; Suleyman, Hediye; Memis, H. Ozge; Yurtsever, Ozgur D.

    2007-01-01

    This paper reports two experiments conducted to examine priority effects and sex differences in object location memory. A new task of paired position-learning was designed, based on the A-B A-C paradigm, which was used in paired word learning. There were three different paired position-learning conditions: (1) positions of several different…

  17. The effects of controversy, concurrence seeking, and individualistic learning on achievement and attitude change

    NASA Astrophysics Data System (ADS)

    Johnson, Roger; Brooker, Charlotte; Stutzman, James; Hultman, Donald; Johnson, David W.

    The effects of cooperative-controversy, cooperative-concurrence seeking, and individualistic learning were compared on motivation, achievement, and attitudes toward the science subject being studied. Eighty-four fifth-grade students were assigned to conditions on a stratified random basis controlling for sex and reading ability. In all three conditions students studied whether wolves should or should not be a protected species. The results indicate that cooperative-controversy resulted in the highest achievement, greatest motivation to learn more about wolves, more positive attitudes toward the wolf, and more positive attitudes toward controversy.

  18. Humanoid infers Archimedes' principle: understanding physical relations and object affordances through cumulative learning experiences.

    PubMed

    Bhat, Ajaz Ahmad; Mohan, Vishwanathan; Sandini, Giulio; Morasso, Pietro

    2016-07-01

    Emerging studies indicate that several species such as corvids, apes and children solve 'The Crow and the Pitcher' task (from Aesop's Fables) in diverse conditions. Hidden beneath this fascinating paradigm is a fundamental question: by cumulatively interacting with different objects, how can an agent abstract the underlying cause-effect relations to predict and creatively exploit potential affordances of novel objects in the context of sought goals? Re-enacting this Aesop's Fable task on a humanoid within an open-ended 'learning-prediction-abstraction' loop, we address this problem and (i) present a brain-guided neural framework that emulates rapid one-shot encoding of ongoing experiences into a long-term memory and (ii) propose four task-agnostic learning rules (elimination, growth, uncertainty and status quo) that correlate predictions from remembered past experiences with the unfolding present situation to gradually abstract the underlying causal relations. Driven by the proposed architecture, the ensuing robot behaviours illustrated causal learning and anticipation similar to natural agents. Results further demonstrate that by cumulatively interacting with few objects, the predictions of the robot in case of novel objects converge close to the physical law, i.e. the Archimedes principle: this being independent of both the objects explored during learning and the order of their cumulative exploration. © 2016 The Author(s).

  19. Learning the dynamics of objects by optimal functional interpolation.

    PubMed

    Ahn, Jong-Hoon; Kim, In Young

    2012-09-01

    Many areas of science and engineering rely on functional data and their numerical analysis. The need to analyze time-varying functional data raises the general problem of interpolation, that is, how to learn a smooth time evolution from a finite number of observations. Here, we introduce optimal functional interpolation (OFI), a numerical algorithm that interpolates functional data over time. Unlike the usual interpolation or learning algorithms, the OFI algorithm obeys the continuity equation, which describes the transport of some types of conserved quantities, and its implementation shows smooth, continuous flows of quantities. Without the need to take into account equations of motion such as the Navier-Stokes equation or the diffusion equation, OFI is capable of learning the dynamics of objects such as those represented by mass, image intensity, particle concentration, heat, spectral density, and probability density.

  20. Motivation and Self-Regulated Learning Influences on Middle School Mathematics Achievement

    ERIC Educational Resources Information Center

    Cleary, Timothy J.; Kitsantas, Anastasia

    2017-01-01

    The primary purpose of the current study was to use structural equation modeling to examine the relations among background variables (socioeconomic status, prior mathematics achievement), motivation variables (self-efficacy, task interest, school connectedness), self-regulated learning (SRL) behaviors, and performance in middle school mathematics…

  1. The Relative Effects of Alternative Learning Structures on Attitudes and Achievements.

    ERIC Educational Resources Information Center

    Carifio, James

    This study compared two learning structures for an introductory course in tests and measurements in terms of their relative effects on attitudes and achievement. The first structure represented a functionally arranged instructional sequence (FAIS). The second represented a psychologically arranged instructional sequence (PAIS). The instructional…

  2. Teaching from Objects and Stories: Learning about the Bering Sea Eskimo People. Smithsonian in Your Classroom.

    ERIC Educational Resources Information Center

    Smigielski, Alan

    The three lesson plans in this issue feature the Eskimos of the Bering Sea and their culture. The lesson plans are: (1) "Learning about a Culture from Its Objects"; (2) "Learning about a Culture from a Story"; and (3) "Everyday Objects." Each lesson cites student objectives; lists materials needed; gives subjects…

  3. A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization

    PubMed Central

    Rao, Jinmeng; Qiao, Yanjun; Ren, Fu; Wang, Junxing; Du, Qingyun

    2017-01-01

    The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device’s built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction. PMID:28837096

  4. A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization.

    PubMed

    Rao, Jinmeng; Qiao, Yanjun; Ren, Fu; Wang, Junxing; Du, Qingyun

    2017-08-24

    The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device's built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction.

  5. The Impact of a Teaching-Learning Program Based on a Brain-Based Learning on the Achievement of the Female Students of 9th Grade in Chemistry

    ERIC Educational Resources Information Center

    Shabatat, Kawthar; Al-Tarawneh, Mohammed

    2016-01-01

    This study aimed at recognizing the impact of teaching-learning program based on a brain-based learning on the achievement of female students of 9th grade in chemistry, to accomplish the goal of this study the researchers designed instruments of: instructional plans, pre achievement and past achievement exams to use them for the study-validity and…

  6. LinguaFolio Goal Setting Intervention and Academic Achievement: Increasing Student Capacity for Self-Regulated Learning

    ERIC Educational Resources Information Center

    Clarke, Oxana D.

    2013-01-01

    In the last few decades there has been a shift from thinking less about teaching and more about learning. Such a paradigm shift from teacher-centered to student-centered instruction requires students to think about their own learning and to monitor their own learning development and language achievement. Researchers have identified goal setting…

  7. A Rule-Based System for Hybrid Search and Delivery of Learning Objects to Learners

    ERIC Educational Resources Information Center

    Biletskiy, Yevgen; Baghi, Hamidreza; Steele, Jarrett; Vovk, Ruslan

    2012-01-01

    Purpose: Presently, searching the internet for learning material relevant to ones own interest continues to be a time-consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is…

  8. Transforming clinical imaging and 3D data for virtual reality learning objects: HTML5 and mobile devices implementation.

    PubMed

    Trelease, Robert B; Nieder, Gary L

    2013-01-01

    Web deployable anatomical simulations or "virtual reality learning objects" can easily be produced with QuickTime VR software, but their use for online and mobile learning is being limited by the declining support for web browser plug-ins for personal computers and unavailability on popular mobile devices like Apple iPad and Android tablets. This article describes complementary methods for creating comparable, multiplatform VR learning objects in the new HTML5 standard format, circumventing platform-specific limitations imposed by the QuickTime VR multimedia file format. Multiple types or "dimensions" of anatomical information can be embedded in such learning objects, supporting different kinds of online learning applications, including interactive atlases, examination questions, and complex, multi-structure presentations. Such HTML5 VR learning objects are usable on new mobile devices that do not support QuickTime VR, as well as on personal computers. Furthermore, HTML5 VR learning objects can be embedded in "ebook" document files, supporting the development of new types of electronic textbooks on mobile devices that are increasingly popular and self-adopted for mobile learning. © 2012 American Association of Anatomists.

  9. An Interactive Learning Environment for Teaching the Imperative and Object-Oriented Programming Techniques in Various Learning Contexts

    NASA Astrophysics Data System (ADS)

    Xinogalos, Stelios

    The acquisition of problem-solving and programming skills in the era of knowledge society seems to be particularly important. Due to the intrinsic difficulty of acquiring such skills various educational tools have been developed. Unfortunately, most of these tools are not utilized. In this paper we present the programming microworlds Karel and objectKarel that support the procedural-imperative and Object-Oriented Programming (OOP) techniques and can be used for supporting the teaching and learning of programming in various learning contexts and audiences. The paper focuses on presenting the pedagogical features that are common to both environments and mainly on presenting the potential uses of these environments.

  10. Connectivist Learning Objects and Learning Styles

    ERIC Educational Resources Information Center

    del Moral, M. Esther; Cernea, Ana; Villalustre, Lourdes

    2013-01-01

    The Web 2.0 brought in the use of social tools at a large scale in every area: a transformation which led to redefining the teaching-learning process. In this new context knowledge is distributed over network connections in an uncontrolled way - thus learning consists of recognizing relevant information patterns and constructing new connections.…

  11. A Multi-modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling.

    PubMed

    Asif, Umar; Bennamoun, Mohammed; Sohel, Ferdous

    2017-08-30

    While deep convolutional neural networks have shown a remarkable success in image classification, the problems of inter-class similarities, intra-class variances, the effective combination of multimodal data, and the spatial variability in images of objects remain to be major challenges. To address these problems, this paper proposes a novel framework to learn a discriminative and spatially invariant classification model for object and indoor scene recognition using multimodal RGB-D imagery. This is achieved through three postulates: 1) spatial invariance - this is achieved by combining a spatial transformer network with a deep convolutional neural network to learn features which are invariant to spatial translations, rotations, and scale changes, 2) high discriminative capability - this is achieved by introducing Fisher encoding within the CNN architecture to learn features which have small inter-class similarities and large intra-class compactness, and 3) multimodal hierarchical fusion - this is achieved through the regularization of semantic segmentation to a multi-modal CNN architecture, where class probabilities are estimated at different hierarchical levels (i.e., imageand pixel-levels), and fused into a Conditional Random Field (CRF)- based inference hypothesis, the optimization of which produces consistent class labels in RGB-D images. Extensive experimental evaluations on RGB-D object and scene datasets, and live video streams (acquired from Kinect) show that our framework produces superior object and scene classification results compared to the state-of-the-art methods.

  12. Imitative Learning of Actions on Objects by Children, Chimpanzees, and Enculturated Chimpanzees.

    ERIC Educational Resources Information Center

    Tomasello, Michael; And Others

    1993-01-01

    Compared the abilities of 3 mother-reared and 3 human-raised (enculturated) chimpanzees and 16 human toddlers to imitatively learn novel actions on objects. Found that mother-reared chimpanzees were poorer imitators than both enculturated chimpanzees and human children, who did not differ from one another in imitative learning. On time delay…

  13. Comparisons between students' learning achievements of their conventional instruction and the science, technology and social conceptual instructional design on digestion system issue of secondary students at the 10th grade level

    NASA Astrophysics Data System (ADS)

    Wichalek, Supattra; Chayaburakul, Kanokporn; Santiboon, Toansakul

    2018-01-01

    The purposes of this action research study were 1) to develop learning activities according to the instructional designing model of science, technology, and social (STS) on Digestion Issue, 2) to compare students' learning achievements between their learning activities with the conventional instructional (CIM) and conceptual instructional designing methods of science, technology, and social (STS) on digestion system of secondary students at the 10th grade level with a sample size of 35 experimental student group of their STS learning method, and 91 controlling group in two classes in the first semester in academic year 2016. Using the 4-Instructional Innovative Lesson Plans, the Students' Learning Behaviour Observing Form, the Questionnaire on Teacher Behaviour Interaction (QTBI), the Researcher's Recording Form, the Learning Activity Form, and the Parallel Learning Achievement Test (LAT) were assessed. The results of this research have found that; the Index of Item Objective Congruence (IOC) value ranged from 0.67 to 1.00; the difficulty values were 0.47 and 0.79 for the CIM and STS methods, respectively, the discriminative validity for the LAT was ranged from 0.20 to 0.75. The reliability of the QTBI was 0.79. Students' responses of their learning achievements with the average means scores indicted of the normalized gain values of 0.79 for the STS group, and 0.50 and 0.36 for the CIM groups, respectively. Students' learning achievements of their post-test indicated that of a higher than pre-test, the pre-test and post-test assessments were also differentiated evidence at the 0.05 levels for the STS and CIM groups, significantly. The 22-students' learning outcomes from the STS group evidences at a high level, only of the 9-students' responses in a moderate level were developed of their learning achievements, responsibility.

  14. The relationship between gross motor skills and academic achievement in children with learning disabilities.

    PubMed

    Westendorp, Marieke; Hartman, Esther; Houwen, Suzanne; Smith, Joanne; Visscher, Chris

    2011-01-01

    The present study compared the gross motor skills of 7- to 12-year-old children with learning disabilities (n = 104) with those of age-matched typically developing children (n = 104) using the Test of Gross Motor Development-2. Additionally, the specific relationships between subsets of gross motor skills and academic performance in reading, spelling, and mathematics were examined in children with learning disabilities. As expected, the children with learning disabilities scored poorer on both the locomotor and object-control subtests than their typically developing peers. Furthermore, in children with learning disabilities a specific relationship was observed between reading and locomotor skills and a trend was found for a relationship between mathematics and object-control skills: the larger children's learning lag, the poorer their motor skill scores. This study stresses the importance of specific interventions facilitating both motor and academic abilities. Copyright © 2011 Elsevier Ltd. All rights reserved.

  15. White Working Class Achievement: An Ethnographic Study of Barriers to Learning in Schools

    ERIC Educational Resources Information Center

    Demie, Feyisa; Lewis, Kirstin

    2011-01-01

    This study aims to examine the key barriers to learning to raise achievement of White British pupils with low-income backgrounds. The main findings suggest that the worryingly low-achievement levels of many White working class pupils have been masked by the middle class success in the English school system and government statistics that fail to…

  16. An Investigation into Digital Media: Characteristics of Learning Objects Which K-12 Teachers Determine Meet Their Instructional Needs

    ERIC Educational Resources Information Center

    Guthrie, Patricia Ann

    2010-01-01

    In recent years, learning objects have emerged as an instructional tool for teachers. Digital libraries and collections provide teachers with free or fee-base access to a variety of learning objects from photos and famous speeches to Flash animations and interactive Java Applets. Learning objects offer opportunities for students to interact with…

  17. Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers

    ERIC Educational Resources Information Center

    Chen, Chi-hsin; Gershkoff-Stowe, Lisa; Wu, Chih-Yi; Cheung, Hintat; Yu, Chen

    2017-01-01

    Two experiments were conducted to examine adult learners' ability to extract multiple statistics in simultaneously presented visual and auditory input. Experiment 1 used a cross-situational learning paradigm to test whether English speakers were able to use co-occurrences to learn word-to-object mappings and concurrently form object categories…

  18. Development of Geriatric Mental Health Learning Objectives for Medical Students: A Response to the Institute of Medicine 2012 Report.

    PubMed

    Lehmann, Susan W; Brooks, William B; Popeo, Dennis; Wilkins, Kirsten M; Blazek, Mary C

    2017-10-01

    America is aging as the population of older adults increases. The shortage of geriatric mental health specialists means that most geriatric mental healthcare will be provided by physicians who do not have specialty training in geriatrics. The Institute of Medicine Report of 2012 highlighted the urgent need for development of national competencies and curricula in geriatric mental health for all clinicians. Virtually all physicians can expect to treat older patients with mental health symptoms, yet currently there are no widely accepted learning objectives in geriatric mental health specific for medical students. The authors describe the development of a set of such learning objectives that all medical students should achieve by graduation. The iterative process included initial drafting by content experts from five medical schools with input and feedback from a wider group of geriatric psychiatrists, geriatricians, internists, and medical educators. The final document builds upon previously published work and includes specific knowledge, attitudes and skills in six key domains: Normal Aging, Mental Health Assessment of the Geriatric Patient, Psychopharmacology, Delirium, Depression, and Dementia. These objectives address a pressing need, providing a framework for national standards and curriculum development. Copyright © 2017 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

  19. Integrating Digital Learning Objects in the Classroom: A Need for Educational Leadership

    ERIC Educational Resources Information Center

    Janson, Annick; Janson, Robin

    2009-01-01

    In this article, Annick Janson and Robin Janson introduce research from the Microsoft New Zealand's Partners in Learning Programme by documenting the impact of digital learning objects (DLOs) on educational practice. Janson and Janson describe the impact of DLOs on the teaching practice of a primary school in New Zealand, tracing the effects of…

  20. Using Achievement Goals and Interest to Predict Learning in Physical Education

    ERIC Educational Resources Information Center

    Shen, Bo; Chen, Ang; Guan, Jianmin

    2007-01-01

    On the basis of an integrated theoretical approach to achievement motivation, the authors designed this study to investigate the potential influence of mastery goal, performance-approach and avoidance-approach goals, individual interest, and situational interest on students' learning in a physical education softball unit. The authors collected and…

  1. Learning Support and Academic Achievement among Malaysian Adolescents: The Mediating Role of Student Engagement

    ERIC Educational Resources Information Center

    Jelas, Zalizan M.; Azman, Norzaini; Zulnaidi, Hutkemri; Ahmad, Nor Aniza

    2016-01-01

    The aim of this study was to examine the associations between learning support, student engagement and academic achievement among adolescents. We also examined the extent to which affective, behavioural and cognitive engagement play a mediating role in students' perceived learning support from parents, teachers and peers, and contribute to their…

  2. Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking.

    PubMed

    Bae, Seung-Hwan; Yoon, Kuk-Jin

    2018-03-01

    Online multi-object tracking aims at estimating the tracks of multiple objects instantly with each incoming frame and the information provided up to the moment. It still remains a difficult problem in complex scenes, because of the large ambiguity in associating multiple objects in consecutive frames and the low discriminability between objects appearances. In this paper, we propose a robust online multi-object tracking method that can handle these difficulties effectively. We first define the tracklet confidence using the detectability and continuity of a tracklet, and decompose a multi-object tracking problem into small subproblems based on the tracklet confidence. We then solve the online multi-object tracking problem by associating tracklets and detections in different ways according to their confidence values. Based on this strategy, tracklets sequentially grow with online-provided detections, and fragmented tracklets are linked up with others without any iterative and expensive association steps. For more reliable association between tracklets and detections, we also propose a deep appearance learning method to learn a discriminative appearance model from large training datasets, since the conventional appearance learning methods do not provide rich representation that can distinguish multiple objects with large appearance variations. In addition, we combine online transfer learning for improving appearance discriminability by adapting the pre-trained deep model during online tracking. Experiments with challenging public datasets show distinct performance improvement over other state-of-the-arts batch and online tracking methods, and prove the effect and usefulness of the proposed methods for online multi-object tracking.

  3. Testing Two Path Models to Explore Relationships between Students' Experiences of the Teaching-Learning Environment, Approaches to Learning and Academic Achievement

    ERIC Educational Resources Information Center

    Karagiannopoulou, Evangelia; Milienos, Fotios S.

    2015-01-01

    The study explores the relationships between students' experiences of the teaching-learning environment and their approaches to learning, and the effects of these variables on academic achievement. Two three-stage models were tested with structural equation modelling techniques. The "Approaches and Study Skills Inventory for Students"…

  4. An Investigation of User Perceptions and Attitudes towards Learning Objects

    ERIC Educational Resources Information Center

    Lau, Siong-Hoe; Woods, Peter C.

    2008-01-01

    This study empirically evaluates the technology acceptance model drawn from Information Systems (IS) literature to investigate how user beliefs and attitudes influence learning-object use among higher education learners by evaluating the relationships between perceived usefulness, perceived ease of use, attitude, behavioural intentions and actual…

  5. Attendance and Achievement in Problem-Based Learning: The Value of Scaffolding

    ERIC Educational Resources Information Center

    Smith, Mike; Cook, Kathryn

    2012-01-01

    The impact of problem-based learning (PBL) in improving academic achievement comparedwith other forms of teaching is equivocal. This paper argues that poor tutorial preparation and vague reporting of the brainstorming stage of PBL are major contributing factors. To address these issues this study incorporated a scaffolding mechanism into the…

  6. Cortical Dynamics of Contextually Cued Attentive Visual Learning and Search: Spatial and Object Evidence Accumulation

    ERIC Educational Resources Information Center

    Huang, Tsung-Ren; Grossberg, Stephen

    2010-01-01

    How do humans use target-predictive contextual information to facilitate visual search? How are consistently paired scenic objects and positions learned and used to more efficiently guide search in familiar scenes? For example, humans can learn that a certain combination of objects may define a context for a kitchen and trigger a more efficient…

  7. Effects of Computer-Assisted Jigsaw II Cooperative Learning Strategy on Physics Achievement and Retention

    ERIC Educational Resources Information Center

    Gambari, Isiaka Amosa; Yusuf, Mudasiru Olalere

    2016-01-01

    This study investigated the effects of computer-assisted Jigsaw II cooperative strategy on physics achievement and retention. The study also determined how moderating variables of achievement levels as it affects students' performance in physics when Jigsaw II cooperative learning is used as an instructional strategy. Purposive sampling technique…

  8. Locus of Control and Academic Achievement: Integrating Social Learning Theory and Expectancy-Value Theory

    ERIC Educational Resources Information Center

    Youse, Keith Edward

    2012-01-01

    The current study examines predictors of math achievement and college graduation by integrating social learning theory and expectancy-value theory. Data came from a nationally-representative longitudinal database tracking 12,144 students over twelve years from 8th grade forward. Models for math achievement and college graduation were tested…

  9. Analyzing the Quality of Students Interaction in a Distance Learning Object-Oriented Programming Discipline

    ERIC Educational Resources Information Center

    Carvalho, Elizabeth Simão

    2015-01-01

    Teaching object-oriented programming to students in an in-classroom environment demands well-thought didactic and pedagogical strategies in order to guarantee a good level of apprenticeship. To teach it on a completely distance learning environment (e-learning) imposes possibly other strategies, besides those that the e-learning model of Open…

  10. The Effects of Formative Assessment with Detailed Feedback on Students' Science Learning Achievement and Attitudes Regarding Formative Assessment.

    ERIC Educational Resources Information Center

    Choi, Kyunghee; Nam, Jeong-Hee; Lee, Hyunju

    2001-01-01

    Examines the effects of a formative assessment with detailed feedback on students' science learning achievement and attitudes regarding formative assessment. Involves (n=133) ninth grade students from Seoul and administers pre- and post-tests for learning achievement and attitude regarding formative assessment. (Contains 16 references.)…

  11. Achievement of Virtual and Real Objects Using a Short-Term Motor Learning Protocol in People with Duchenne Muscular Dystrophy: A Crossover Randomized Controlled Trial.

    PubMed

    Massetti, Thais; Fávero, Francis Meire; Menezes, Lilian Del Ciello de; Alvarez, Mayra Priscila Boscolo; Crocetta, Tânia Brusque; Guarnieri, Regiani; Nunes, Fátima L S; Monteiro, Carlos Bandeira de Mello; Silva, Talita Dias da

    2018-04-01

    To evaluate whether people with Duchenne muscular dystrophy (DMD) practicing a task in a virtual environment could improve performance given a similar task in a real environment, as well as distinguishing whether there is transference between performing the practice in virtual environment and then a real environment and vice versa. Twenty-two people with DMD were evaluated and divided into two groups. The goal was to reach out and touch a red cube. Group A began with the real task and had to touch a real object, and Group B began with the virtual task and had to reach a virtual object using the Kinect system. ANOVA showed that all participants decreased the movement time from the first (M = 973 ms) to the last block of acquisition (M = 783 ms) in both virtual and real tasks and motor learning could be inferred by the short-term retention and transfer task (with increasing distance of the target). However, the evaluation of task performance demonstrated that the virtual task provided an inferior performance when compared to the real task in all phases of the study, and there was no effect for sequence. Both virtual and real tasks promoted improvement of performance in the acquisition phase, short-term retention, and transfer. However, there was no transference of learning between environments. In conclusion, it is recommended that the use of virtual environments for individuals with DMD needs to be considered carefully.

  12. The Role of Social Identification as University Student in Learning: Relationships between Students' Social Identity, Approaches to Learning, and Academic Achievement

    ERIC Educational Resources Information Center

    Bliuc, Ana-Maria; Ellis, Robert A.; Goodyear, Peter; Hendres, Daniela Muntele

    2011-01-01

    This article describes research exploring the relationship between students' self-perceptions in the context of university learning (i.e. student social identity), their approaches to learning, and academic achievement. The exploration of these inter-related aspects requires a mix of theoretical approaches, that is, in this research both social…

  13. Watch the hands: infants can learn to follow gaze by seeing adults manipulate objects.

    PubMed

    Deák, Gedeon O; Krasno, Anna M; Triesch, Jochen; Lewis, Joshua; Sepeta, Leigh

    2014-03-01

    Infants gradually learn to share attention, but it is unknown how they acquire skills such as gaze-following. Deák and Triesch (2006) suggest that gaze-following could be acquired if infants learn that adults' gaze direction is likely to be aligned with interesting sights. This hypothesis stipulates that adults tend to look at things that infants find interesting, and that infants could learn by noticing this tendency. We tested the plausibility of this hypothesis through video-based micro-behavioral analysis of naturalistic parent-infant play. The results revealed that 3- to 11-month-old infants strongly preferred watching caregivers handle objects. In addition, when caregivers looked away from their infant they tended to look at their own object-handling. Finally, when infants looked toward the caregiver while she was looking at her own hands, the infant's next eye movement was often toward the caregiver's object-handling. In this way infants receive adequate naturalistic input to learn associations between their parent's gaze direction and the locations of interesting sights. © 2014 John Wiley & Sons Ltd.

  14. Different Modes of Digital Learning Object Use in School Settings: Do We Design for Individual or Collaborative Learning?

    ERIC Educational Resources Information Center

    Akpinar, Yavuz

    2014-01-01

    The aim of the studies reported in this paper is to gain classroom based empirical evidence on the learning effectiveness of learning objects used in two types of study settings: Collaborative and individual. A total of 127 seventh and ninth grade students participated in the experiments. They were assigned into one of the study modes and worked…

  15. Effects of Mastery Learning Approach on Secondary School Students' Physics Achievement

    ERIC Educational Resources Information Center

    Wambugu, Patriciah W.; Changeiywo, Johnson M.

    2008-01-01

    This study aimed at finding out the effects of Mastery Learning Approach (MLA) on students' achievement in Physics. The study was Quasi-experimental and Solomon Four Non-equivalent Control Group Design was used. The target population comprised of secondary school students in Kieni East Division of Nyeri District. The accessible population was Form…

  16. Effect of Cooperative Learning on Achievement of Students in General Science at Secondary Level

    ERIC Educational Resources Information Center

    Parveen, Qaisara; Batool, Sadia

    2012-01-01

    The aim of the study was to explore the effects of cooperative learning on General Science achievement among 9th class students. Based upon previous research literature it was hypothesized that significant difference existed between the mean posttest scores of General Science achievement of experimental group and control group. The pretest…

  17. Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors.

    PubMed

    Villaverde, Monica; Perez, David; Moreno, Felix

    2015-11-17

    The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor's infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.

  18. Word Learning by Preschoolers with SLI: Effect of Phonotactic Probability and Object Familiarity

    ERIC Educational Resources Information Center

    Gray, Shelley; Brinkley, Shara; Svetina, Dubravka

    2012-01-01

    Purpose: In this study, the authors investigated whether previous findings of a low phonotactic probability/unfamiliar object word-learning advantage in preschoolers could be replicated, whether this advantage would be apparent at different "stages" of word learning, and whether findings would differ for preschoolers with specific language…

  19. Measurement of Cognitive Load in Multimedia Learning: A Comparison of Different Objective Measures

    ERIC Educational Resources Information Center

    Korbach, Andreas; Brünken, Roland; Park, Babette

    2017-01-01

    Different indicators are interesting for analyzing human learning processes. Recent studies analyze learning performance in combination with cognitive load, as an indicator for learners' invested mental effort. In order to compare different measures of cognitive load research, the present study uses three different objective methods and one…

  20. Improving the Achievement of Second Year Natural Resource Management Students of Madawalabu University through Cooperative Learning

    ERIC Educational Resources Information Center

    Abdulahi, Mohammed Mussa; Hashim, Hakim; Kawo, Mohammed

    2017-01-01

    The purpose of this action research is to improve the achievement of students in general and, to examine the perception of students and teachers about cooperative learning, to identify major factors affecting the implementation of cooperative learning and to identify the possible strategies used to improve cooperative learning in Madawalabu…