The Effect of Learning Style on Academic Student Success
ERIC Educational Resources Information Center
Stackhouse, Omega N.
2009-01-01
The problem addressed in this study was that little was known about the impact on student academic achievement, when grouped by learning style, in a multiple intelligence based science curriculum. The larger problem was that many students were frequently unengaged and, consequently, low achieving in their science courses. This quantitative study…
Behavioral Engagement in Learning and Math Achievement over Kindergarten: A Contextual Analysis
ERIC Educational Resources Information Center
Robinson, Keith; Mueller, Anna S.
2014-01-01
Using nationally representative data on 12,462 kindergarten children, this report examines the link between behavioral engagement and math achievement growth during kindergarten. Multilevel models show that students with higher individual engagement tend to experience larger math achievement growth over kindergarten, that classroom engagement…
State and trait effects on individual differences in children's mathematical development.
Bailey, Drew H; Watts, Tyler W; Littlefield, Andrew K; Geary, David C
2014-11-01
Substantial longitudinal relations between children's early mathematics achievement and their much later mathematics achievement are firmly established. These findings are seemingly at odds with studies showing that early educational interventions have diminishing effects on children's mathematics achievement across time. We hypothesized that individual differences in children's later mathematical knowledge are more an indicator of stable, underlying characteristics related to mathematics learning throughout development than of direct effects of early mathematical competency on later mathematical competency. We tested this hypothesis in two longitudinal data sets, by simultaneously modeling effects of latent traits (stable characteristics that influence learning across time) and states (e.g., prior knowledge) on children's mathematics achievement over time. Latent trait effects on children's mathematical development were substantially larger than state effects. Approximately 60% of the variance in trait mathematics achievement was accounted for by commonly used control variables, such as working memory, but residual trait effects remained larger than state effects. Implications for research and practice are discussed. © The Author(s) 2014.
State and Trait Effects on Individual Differences in Children's Mathematical Development
Bailey, Drew H.; Watts, Tyler W.; Littlefield, Andrew K.; Geary, David C.
2015-01-01
Substantial longitudinal relations between children's early mathematics achievement and their much later mathematics achievement are firmly established. These findings are seemingly at odds with studies showing that early educational interventions have diminishing effects on children's mathematics achievement across time. We hypothesized that individual differences in children's later mathematical knowledge are more an indicator of stable, underlying characteristics related to mathematics learning throughout development than of direct effects of early mathematical competency on later mathematical competency. We tested this hypothesis in two longitudinal data sets, by simultaneously modeling effects of latent traits (stable characteristics that influence learning across time) and states (e.g., prior knowledge) on children's mathematics achievement over time. Latent trait effects on children's mathematical development were substantially larger than state effects. Approximately 60% of the variance in trait mathematics achievement was accounted for by commonly used control variables, such as working memory, but residual trait effects remained larger than state effects. Implications for research and practice are discussed. PMID:25231900
Work-Based Learning: Good News, Bad News and Hope. Research Brief.
ERIC Educational Resources Information Center
Bottoms, Gene; Presson, Alice
The effects of work-based learning on student achievement were examined by analyzing data from the 1996 High Schools That Work (HSTW) assessment. The comparison focused on the experiences of 12th-graders in structured work-based learning programs and 12th-graders with after-school jobs. A larger percentage of students earning school credit for…
From Grapheme to Word in Reading Acquisition in Spanish
ERIC Educational Resources Information Center
Cuetos, Fernando; Suarez-Coalla, Paz
2009-01-01
The relationship between written words and their pronunciation varies considerably among different orthographic systems, and these variations have repercussions on learning to read. Children whose languages have deep orthographies must learn to pronounce larger units, such as rhymes, morphemes, or whole words, to achieve the correct pronunciation…
ERIC Educational Resources Information Center
Jackson, C. Kirabo; Bruegmann, Elias
2009-01-01
Using longitudinal elementary school teacher and student data, we document that students have larger test score gains when their teachers experience improvements in the observable characteristics of their colleagues. Using within-school and within-teacher variation, we further show that a teacher's students have larger achievement gains in math…
Machine Learning Techniques for Stellar Light Curve Classification
NASA Astrophysics Data System (ADS)
Hinners, Trisha A.; Tat, Kevin; Thorp, Rachel
2018-07-01
We apply machine learning techniques in an attempt to predict and classify stellar properties from noisy and sparse time-series data. We preprocessed over 94 GB of Kepler light curves from the Mikulski Archive for Space Telescopes (MAST) to classify according to 10 distinct physical properties using both representation learning and feature engineering approaches. Studies using machine learning in the field have been primarily done on simulated data, making our study one of the first to use real light-curve data for machine learning approaches. We tuned our data using previous work with simulated data as a template and achieved mixed results between the two approaches. Representation learning using a long short-term memory recurrent neural network produced no successful predictions, but our work with feature engineering was successful for both classification and regression. In particular, we were able to achieve values for stellar density, stellar radius, and effective temperature with low error (∼2%–4%) and good accuracy (∼75%) for classifying the number of transits for a given star. The results show promise for improvement for both approaches upon using larger data sets with a larger minority class. This work has the potential to provide a foundation for future tools and techniques to aid in the analysis of astrophysical data.
ERIC Educational Resources Information Center
Zhong, Jing; Wu, Sizong; Li, Jun
2008-01-01
This study compares two high-tech firms in terms of their differences in organizational characteristics and learning activities beyond the boundaries. It finds that the larger company continuously develops new technology to achieve long-term survival through a balance between exploration and exploitation while the smaller enterprise grows quickly…
Learning to Become a CLIL Teacher: Teaching, Reflection and Professional Development
ERIC Educational Resources Information Center
Urmeneta, Cristina Escobar
2013-01-01
This case study is part of a larger project which aims to determine the usefulness and validity of a model of a pre-service content and language integrated learning (CLIL) teacher education programme inserted in a Master's degree, whose main pedagogical option is to achieve teacher empowerment through cycles of collaborative teaching and shared…
ERIC Educational Resources Information Center
Bernard, Robert M.; Borokhovski, Eugene; Schmid, Richard F.; Tamim, Rana M.; Abrami, Philip C.
2014-01-01
This paper serves several purposes. First and foremost, it is devoted to developing a better understanding of the effectiveness of blended learning (BL) in higher education. This is achieved through a meta-analysis of a sub-collection of comparative studies of BL and classroom instruction (CI) from a larger systematic review of technology…
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.
ERIC Educational Resources Information Center
Stillman, Michael H.
1977-01-01
This article was written as part of a comprehensive manual designed to assist teachers in implementing a diagnostic/prescriptive mathematics program. The larger project known as Project SAIL (Student Achievement in Individualized Learning), is a nationally validated Title 111-IV (c) project currently funded for dissemination in New Jersey. (Editor)
Machine Learning Estimates of Natural Product Conformational Energies
Rupp, Matthias; Bauer, Matthias R.; Wilcken, Rainer; Lange, Andreas; Reutlinger, Michael; Boeckler, Frank M.; Schneider, Gisbert
2014-01-01
Machine learning has been used for estimation of potential energy surfaces to speed up molecular dynamics simulations of small systems. We demonstrate that this approach is feasible for significantly larger, structurally complex molecules, taking the natural product Archazolid A, a potent inhibitor of vacuolar-type ATPase, from the myxobacterium Archangium gephyra as an example. Our model estimates energies of new conformations by exploiting information from previous calculations via Gaussian process regression. Predictive variance is used to assess whether a conformation is in the interpolation region, allowing a controlled trade-off between prediction accuracy and computational speed-up. For energies of relaxed conformations at the density functional level of theory (implicit solvent, DFT/BLYP-disp3/def2-TZVP), mean absolute errors of less than 1 kcal/mol were achieved. The study demonstrates that predictive machine learning models can be developed for structurally complex, pharmaceutically relevant compounds, potentially enabling considerable speed-ups in simulations of larger molecular structures. PMID:24453952
School Class Size: Research and Policy
ERIC Educational Resources Information Center
Glass, Gene V.; And Others
This book synthesizes research evidence to demonstrate that 1) class size is strongly related to pupil achievement; 2) smaller classes are more conducive to improved pupil performance than larger classes; 3) smaller classes provide more opportunities to adapt learning programs to individual needs; 4) pupils in smaller classes have more interest in…
Can Technology Improve Large Class Learning? The Case of an Upper-Division Business Core Class
ERIC Educational Resources Information Center
Stanley, Denise
2013-01-01
Larger classes are often associated with lower student achievement. The author tested the hypothesis that the introduction of personal response systems significantly improves scores in a 250-seat classroom, through the channels of improved attendance and engagement. She focused on how continuous participation with the technology could change…
Elementary Preservice Teachers as Warm Demanders in an African American School
ERIC Educational Resources Information Center
Hambacher, Elyse; Acosta, Melanie M.; Bondy, Elizabeth; Ross, Dorene D.
2016-01-01
The literature related to warm demanding describes teachers who balance care and authority to create a learning environment that supports a culture of achievement for African American students. Embedded in this stance is sociopolitical consciousness that explicitly links teachers' care and authority with a larger social justice agenda. Drawing on…
Translanguaging in a Reading Class
ERIC Educational Resources Information Center
Vaish, Viniti; Subhan, Aidil
2015-01-01
Using translanguaging as a theoretical foundation, this paper analyses findings from a Grade 2 reading class for low achieving students, where Malay was used as a scaffold to teach English. Data come from one class in one school in Singapore and its Learning Support Programme (LSP), which is part of a larger research project on biliteracy. The LSP…
Peer Collaboration: A Model to Support Counsellor Self-Care
ERIC Educational Resources Information Center
Barlow, Constance A.; Phelan, Anne M.
2007-01-01
In the context of a larger case study on how continuous learning in the workplace could be achieved through the implementation of peer collaboration, the process of how counsellors engaged in self-care within a large health care organization became clearer. This article is based on data derived from a qualitative analysis of nine transcribed…
ERIC Educational Resources Information Center
Baroody, Arthur J.; Purpura, David J.; Eiland, Michael D.; Reid, Erin E.
2014-01-01
Achieving fluency with basic subtraction and add-with-8 or -9 combinations is difficult for primary grade children. A 9-month training experiment entailed evaluating the efficacy of software designed to promote such fluency via guided learning of reasoning strategies. Seventy-five eligible first graders were randomly assigned to one of three…
The Effect of Resource Services on Academic Achievement in Reading and Math in South Texas
ERIC Educational Resources Information Center
Birdwell, Jeanine; Kupczynski, Lori; Mundy, Marie-Anne; Bain, Steve
2015-01-01
Accountability measures with increased emphasis placed on assessment for all students have led more special education students to be placed in the general education classroom. The sample included students identified with specific learning disabilities at two high schools, 4A or larger, in South Texas. ANCOVA was utilized to analyze the data. This…
ERIC Educational Resources Information Center
Carbanaro, Michael; Dawber, Tess; Arav, Isanna
2006-01-01
The purpose of this study was to compare undergraduate nursing students' achievement on examinations for three groups in a mandatory microbiology course. The study represents one aspect of a larger research project designed to gain insight into factors that may influence online learning for distance education nursing students at a Canadian…
Intellectual Interest Mediates Gene-by-SES Interaction on Adolescent Academic Achievement
Tucker-Drob, Elliot M.; Harden, K. Paige
2011-01-01
Recent studies have demonstrated that genetic influences on cognitive ability and academic achievement are larger for children raised in higher socioeconomic status (SES) homes. However, little work has been done to document the psychosocial processes that underlie this gene-by-environment interaction. One process may involve the conversion of intellectual interest into academic achievement. Analyses of data from 777 pairs of 17-year-old twins indicated that gene-by-SES effects on achievement scores can be accounted for by stronger influences of genes for intellectual interest on achievement at higher levels of SES. These findings are consistent with the hypothesis that higher SES affords greater opportunity for children to seek out and benefit from learning experiences that are congruent with their genetically influenced intellectual interests. PMID:22288554
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.
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks.
Li, Can; Belkin, Daniel; Li, Yunning; Yan, Peng; Hu, Miao; Ge, Ning; Jiang, Hao; Montgomery, Eric; Lin, Peng; Wang, Zhongrui; Song, Wenhao; Strachan, John Paul; Barnell, Mark; Wu, Qing; Williams, R Stanley; Yang, J Joshua; Xia, Qiangfei
2018-06-19
Memristors with tunable resistance states are emerging building blocks of artificial neural networks. However, in situ learning on a large-scale multiple-layer memristor network has yet to be demonstrated because of challenges in device property engineering and circuit integration. Here we monolithically integrate hafnium oxide-based memristors with a foundry-made transistor array into a multiple-layer neural network. We experimentally demonstrate in situ learning capability and achieve competitive classification accuracy on a standard machine learning dataset, which further confirms that the training algorithm allows the network to adapt to hardware imperfections. Our simulation using the experimental parameters suggests that a larger network would further increase the classification accuracy. The memristor neural network is a promising hardware platform for artificial intelligence with high speed-energy efficiency.
Learning on the Move, OSS Detachment 101 Special Operations in Burma
2015-06-12
directives while others advocated for coastal operations closer to Rangoon in Southern Burma to achieve greater psychological effects against the...of the Environment PR Personnel Recovery PSYOP Psychological Operations R&A OSS Research and Analysis Branch R&D OSS Research and Development...actions would serve as shaping effects for larger conventional operations. Modern US Army Special Operations doctrine further supports this
ERIC Educational Resources Information Center
O'Dwyer, Laura M.; Lee-St. John, Terrence; Raczek, Anastasia E.; Luna Bazaldua, Diego A.; Walsh, Mary
2016-01-01
Out-of-school factors can significantly impact students' readiness to learn and thrive in school. Research confirms that larger social structures and contexts beyond the school are critical, accounting for up to two-thirds of the variance in student achievement (Coleman et al., 1966; Rothstein, 2010; Phillips, Brooks-Gunn, Duncan, Klebanov, &…
Anthony, Christopher J; DiPerna, James Clyde; Amato, Paul R
2014-06-01
Data from the Early Childhood Longitudinal Study--Kindergarten Cohort (ECLS-K) were used to test the hypothesis that approaches to learning (ATL) mediates the link between parental divorce and academic achievement. Fixed effects regression was utilized to test for mediation, and subsequent moderation analyses examining gender and age at time of divorce also were conducted. Results indicated that divorce was associated with less growth in test scores and that ATL mediated 18% and 12% of this association in reading and mathematics respectively. Parental divorce also was associated with larger negative effects for children who experienced divorce at an older age as well as for girls' mathematics test scores. These findings contribute to the understanding of the impact of parental divorce on children's academic achievement and underscore the importance of focusing on the variability of child outcomes following parental divorce. Copyright © 2014 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.
Improving preschoolers' mathematics achievement with tablets: a randomized controlled trial
NASA Astrophysics Data System (ADS)
Schacter, John; Jo, Booil
2017-09-01
With a randomized field experiment of 433 preschoolers, we tested a tablet mathematics program designed to increase young children's mathematics learning. Intervention students played Math Shelf, a comprehensive iPad preschool and year 1 mathematics app, while comparison children received research-based hands-on mathematics instruction delivered by their classroom teachers. After 22 weeks, there was a large and statistically significant effect on mathematics achievement for Math Shelf students (Cohen's d = .94). Moderator analyses demonstrated an even larger effect for low achieving children (Cohen's d = 1.27). These results suggest that early education teachers can improve their students' mathematics outcomes by integrating experimentally proven tablet software into their daily routines.
Efficient dual approach to distance metric learning.
Shen, Chunhua; Kim, Junae; Liu, Fayao; Wang, Lei; van den Hengel, Anton
2014-02-01
Distance metric learning is of fundamental interest in machine learning because the employed distance metric can significantly affect the performance of many learning methods. Quadratic Mahalanobis metric learning is a popular approach to the problem, but typically requires solving a semidefinite programming (SDP) problem, which is computationally expensive. The worst case complexity of solving an SDP problem involving a matrix variable of size D×D with O(D) linear constraints is about O(D(6.5)) using interior-point methods, where D is the dimension of the input data. Thus, the interior-point methods only practically solve problems exhibiting less than a few thousand variables. Because the number of variables is D(D+1)/2, this implies a limit upon the size of problem that can practically be solved around a few hundred dimensions. The complexity of the popular quadratic Mahalanobis metric learning approach thus limits the size of problem to which metric learning can be applied. Here, we propose a significantly more efficient and scalable approach to the metric learning problem based on the Lagrange dual formulation of the problem. The proposed formulation is much simpler to implement, and therefore allows much larger Mahalanobis metric learning problems to be solved. The time complexity of the proposed method is roughly O(D(3)), which is significantly lower than that of the SDP approach. Experiments on a variety of data sets demonstrate that the proposed method achieves an accuracy comparable with the state of the art, but is applicable to significantly larger problems. We also show that the proposed method can be applied to solve more general Frobenius norm regularized SDP problems approximately.
The effect of learning style on academic student success
NASA Astrophysics Data System (ADS)
Stackhouse, Omega N.
The problem addressed in this study was that little was known about the impact on student academic achievement, when grouped by learning style, in a multiple intelligence based science curriculum. The larger problem was that many students were frequently unengaged and, consequently, low achieving in their science courses. This quantitative study used an ex post facto research design to better understand the impact of student learning style on the academic success of students in a Multiple Intelligence Theory based course room. Gardner's work on Multiple Intelligence served as the conceptual framework for this study. The research question for this study asked if academic instruction that employs multiple intelligence theories has a relationship with students' academic achievement differently according to their learning style group (auditory, visual, and kinesthetic). Existing data from 85 students were placed into 1 of 3 groups: (a) Auditory, (b) Visual, or (c) Kinesthetic Learning Style) using existing data from a student inventory instrument. The independent variable was existing data from student inventories of learning style and the dependent variable was existing student scores from the Physical Science End of Course Test. Existing data were taken from students that were all taught with the same strategies in similar classroom environments. The Physical Science End of Course Test was developed with stringent measures to protect validity by the developer, McGraw-Hill. Cronbach's Alpha was conducted to determine the internal reliability coefficient of the student inventory. The impact for social change is that adding to the body of knowledge regarding student learning style and science curriculum provides valuable information for teachers, administrators, and school policy makers. This will allow teachers to better prepare to engage their students' and to prepare them for their place in society.
NASA Astrophysics Data System (ADS)
McNeill, Katherine L.; Silva Pimentel, Diane; Strauss, Eric G.
2013-10-01
Inquiry-based curricula are an essential tool for reforming science education yet the role of the teacher is often overlooked in terms of the impact of the curriculum on student achievement. Our research focuses on 22 teachers' use of a year-long high school urban ecology curriculum and how teachers' self-efficacy, instructional practices, curricular enactments and previous experience impacted student learning. Data sources included teacher belief surveys, teacher enactment surveys, a student multiple-choice assessment focused on defining and identifying science concepts and a student open-ended assessment focused on scientific inquiry. Results from the two hierarchical linear models indicate that there was significant variation between teachers in terms of student achievement. For the multiple-choice assessment, teachers who spent a larger percentage of time on group work and a smaller percentage of time lecturing had greater student learning. For the open-ended assessment, teachers who reported a higher frequency of students engaging in argument and sharing ideas had greater student learning while teachers who adapted the curriculum more had lower student learning. These results suggest the importance of supporting the active role of students in instruction, emphasising argumentation, and considering the types of adaptations teachers make to curriculum.
Thompson, Marilyn E; Ford, Ruth; Webster, Andrew
2011-01-01
Neurological concepts applicable to a doctorate in occupational therapy are often challenging to comprehend, and students are required to demonstrate critical reasoning skills beyond simply recalling the information. To achieve this, various learning and teaching strategies are used, including the use of technology in the classroom. The availability of technology in academic settings has allowed for diverse and active teaching approaches. This includes videos, web-based instruction, and interactive online games. In this quantitative pre-experimental analysis, the learning and retention of neuroscience concepts by 30 occupational therapy doctoral students, who participated in an interactive online learning experience, were assessed. The results suggest that student use of these tools may enhance their learning of neuroscience. Furthermore, the students felt that the sites were appropriate, beneficial to them, and easy to use. Thus, the use of online, interactive neuroscience games may be effective in reinforcing lecture materials. This needs to be further assessed in a larger sample size.
Schenke, Katerina; Nguyen, Tutrang; Watts, Tyler W; Sarama, Julie H; Clements, Douglas H
2017-08-01
We examined whether African American students differentially responded to dimensions of the observed classroom-learning environment compared with non-African American students. Further, we examined whether these dimensions of the classroom mediated treatment effects of a preschool mathematics intervention targeted at students from low-income families. Three observed dimensions of the classroom (teacher expectations and developmental appropriateness; teacher confidence and enthusiasm; and support for mathematical discourse) were evaluated in a sample of 1,238 preschool students in 101 classrooms. Using multigroup multilevel mediation where African American students were compared to non-African American students, we found that teachers in the intervention condition had higher ratings on the observed dimensions of the classroom compared with teachers in the control condition. Further, ratings on teacher expectations and developmental appropriateness had larger associations with the achievement of African American students than for non-African Americans. Findings suggest that students within the same classroom may react differently to that learning environment and that classroom learning environments could be structured in ways that are beneficial for students who need the most support.
The Necessity of the Hippocampus for Statistical Learning
Covington, Natalie V.; Brown-Schmidt, Sarah; Duff, Melissa C.
2018-01-01
Converging evidence points to a role for the hippocampus in statistical learning, but open questions about its necessity remain. Evidence for necessity comes from Schapiro and colleagues who report that a single patient with damage to hippocampus and broader medial temporal lobe cortex was unable to discriminate new from old sequences in several statistical learning tasks. The aim of the current study was to replicate these methods in a larger group of patients who have either damage localized to hippocampus or a broader medial temporal lobe damage, to ascertain the necessity of the hippocampus in statistical learning. Patients with hippocampal damage consistently showed less learning overall compared with healthy comparison participants, consistent with an emerging consensus for hippocampal contributions to statistical learning. Interestingly, lesion size did not reliably predict performance. However, patients with hippocampal damage were not uniformly at chance and demonstrated above-chance performance in some task variants. These results suggest that hippocampus is necessary for statistical learning levels achieved by most healthy comparison participants but significant hippocampal pathology alone does not abolish such learning. PMID:29308986
Stevens, Joseph J; Schulte, Ann C
This study examined mathematics achievement growth of students without disabilities (SWoD) and students with learning disabilities (LD) and tested whether growth and LD status interacted with student demographic characteristics. Growth was estimated in a statewide sample of 79,554 students over Grades 3 to 7. The LD group was significantly lower in achievement in each grade and had less growth than the SWoD group. We also found that student demographic characteristics were significantly related to mathematics growth, but only three demographic characteristics were statistically significant as interactions. We found that LD-SWoD differences at Grade 3 were moderated by student sex, while Black race/ethnicity and free or reduced lunch (FRL) status moderated LD-SWoD differences at all grades. These results provide practitioners and policy makers with more specific information about which particular LD students show faster or slower growth in mathematics. Our results show that simply including predictors in a regression equation may produce different results than direct testing of interactions and achievement gaps may be larger for some LD subgroups of students than previously reported.
Developmental gains in visuospatial memory predict gains in mathematics achievement.
Li, Yaoran; Geary, David C
2013-01-01
Visuospatial competencies are related to performance in mathematical domains in adulthood, but are not consistently related to mathematics achievement in children. We confirmed the latter for first graders and demonstrated that children who show above average first-to-fifth grade gains in visuospatial memory have an advantage over other children in mathematics. The study involved the assessment of the mathematics and reading achievement of 177 children in kindergarten to fifth grade, inclusive, and their working memory capacity and processing speed in first and fifth grade. Intelligence was assessed in first grade and their second to fourth grade teachers reported on their in-class attentive behavior. Developmental gains in visuospatial memory span (d = 2.4) were larger than gains in the capacity of the central executive (d = 1.6) that in turn were larger than gains in phonological memory span (d = 1.1). First to fifth grade gains in visuospatial memory and in speed of numeral processing predicted end of fifth grade mathematics achievement, as did first grade central executive scores, intelligence, and in-class attentive behavior. The results suggest there are important individual differences in the rate of growth of visuospatial memory during childhood and that these differences become increasingly important for mathematics learning.
Developmental Gains in Visuospatial Memory Predict Gains in Mathematics Achievement
Li, Yaoran; Geary, David C.
2013-01-01
Visuospatial competencies are related to performance in mathematical domains in adulthood, but are not consistently related to mathematics achievement in children. We confirmed the latter for first graders and demonstrated that children who show above average first-to-fifth grade gains in visuospatial memory have an advantage over other children in mathematics. The study involved the assessment of the mathematics and reading achievement of 177 children in kindergarten to fifth grade, inclusive, and their working memory capacity and processing speed in first and fifth grade. Intelligence was assessed in first grade and their second to fourth grade teachers reported on their in-class attentive behavior. Developmental gains in visuospatial memory span (d = 2.4) were larger than gains in the capacity of the central executive (d = 1.6) that in turn were larger than gains in phonological memory span (d = 1.1). First to fifth grade gains in visuospatial memory and in speed of numeral processing predicted end of fifth grade mathematics achievement, as did first grade central executive scores, intelligence, and in-class attentive behavior. The results suggest there are important individual differences in the rate of growth of visuospatial memory during childhood and that these differences become increasingly important for mathematics learning. PMID:23936154
Application of semi-supervised deep learning to lung sound analysis.
Chamberlain, Daniel; Kodgule, Rahul; Ganelin, Daniela; Miglani, Vivek; Fletcher, Richard Ribon
2016-08-01
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound. Larger research studies have also been impeded by the challenge of labeling large volumes of data, which is extremely labor-intensive. In this paper, we present the development of a semi-supervised deep learning algorithm for automatically classify lung sounds from a relatively large number of patients (N=284). Focusing on the two most common lung sounds, wheeze and crackle, we present results from 11,627 sound files recorded from 11 different auscultation locations on these 284 patients with pulmonary disease. 890 of these sound files were labeled to evaluate the model, which is significantly larger than previously published studies. Data was collected with a custom mobile phone application and a low-cost (US$30) electronic stethoscope. On this data set, our algorithm achieves ROC curves with AUCs of 0.86 for wheeze and 0.74 for crackle. Most importantly, this study demonstrates how semi-supervised deep learning can be used with larger data sets without requiring extensive labeling of data.
National GDP, Science Interest and Science Achievement: A Person-by-Nation Interaction
Drob, Elliot M. Tucker; Cheung, Amanda K.; Briley, Daniel A.
2014-01-01
Maximizing science achievement is a critical target of educational policy, with important implications for national and international economic and technological competitiveness. Previous research has identified both science interest and socioeconomic status (SES) as robust predictors of science achievement, but little research has examined their joint effects. In a dataset drawn from approximately 400,000 high school students from 57 countries, we document large interest by SES and interest by per capita gross domestic product (GDP) interactions in the prediction of science achievement. Student interest in science is a substantially stronger predictor of science achievement in higher socioeconomic contexts and in higher GDP nations. Our results are consistent with the hypothesis that, in higher opportunity contexts, motivational factors play larger roles in learning and achievement. They add to the growing body of evidence indicating that substantial cross national differences in psychological effect sizes are not simply a logical possibility, but in many cases, an empirical reality. PMID:25304883
Gross domestic product, science interest, and science achievement: a person × nation interaction.
Tucker-Drob, Elliot M; Cheung, Amanda K; Briley, Daniel A
2014-11-01
Maximizing science achievement is a critical target of educational policy and has important implications for national and international economic and technological competitiveness. Previous research has identified both science interest and socioeconomic status (SES) as robust predictors of science achievement, but little research has examined their joint effects. In a data set drawn from approximately 400,000 high school students from 57 countries, we documented large Science Interest × SES and Science Interest × Per Capita Gross Domestic Product (GDP) interactions in the prediction of science achievement. Student interest in science is a substantially stronger predictor of science achievement in higher socioeconomic contexts and in higher-GDP nations. Our results are consistent with the hypothesis that in higher-opportunity contexts, motivational factors play larger roles in learning and achievement. They add to the growing body of evidence indicating that substantial cross-national differences in psychological effect sizes are not simply a logical possibility but, in many cases, an empirical reality. © The Author(s) 2014.
Promoting children's ethical development through social and emotional learning.
Devaney, Elizabeth; O'Brien, Mary Utne; Tavegia, Mary; Resnik, Hank
2005-01-01
In today's climate of increased emphasis on measuring achievement through high-stakes testing, academic subjects are too often divorced from the social context in which they are taught. We know that learning is a social process. In fact, many educators and other youth development practitioners recognize that social, emotional, and ethical development cannot be ignored in the name of better academic preparation, especially in the face of data showing that students are more disengaged than ever before. Social and emotional learning (SEL) offers educators and other youth development personnel a framework for addressing students' social and emotional needs in systematic way. SEL is the process of acquiring the skills to recognize and manage emotions, develop caring and concern for others, establish positive relationships, make responsible decisions, and handle challenging situations effectively. Research has shown that SEL has an impact on every aspect of children's development: their health, ethical development, citizenship, academic learning, and motivation to achieve. This chapter profiles one school in Illinois that has been implementing SEL programming for a number of years. The authors provide evidence of the impact of SEL on school climate, student behavior, and attitudes. Ultimately the authors see this as fostering the kind of understanding of the larger world that leads young people to make ethical choices. They propose that the lessons learned are applicable to a wide variety of settings, including other schools, after-school programs, and summer camps.
Classifying black and white spruce pollen using layered machine learning.
Punyasena, Surangi W; Tcheng, David K; Wesseln, Cassandra; Mueller, Pietra G
2012-11-01
Pollen is among the most ubiquitous of terrestrial fossils, preserving an extended record of vegetation change. However, this temporal continuity comes with a taxonomic tradeoff. Analytical methods that improve the taxonomic precision of pollen identifications would expand the research questions that could be addressed by pollen, in fields such as paleoecology, paleoclimatology, biostratigraphy, melissopalynology, and forensics. We developed a supervised, layered, instance-based machine-learning classification system that uses leave-one-out bias optimization and discriminates among small variations in pollen shape, size, and texture. We tested our system on black and white spruce, two paleoclimatically significant taxa in the North American Quaternary. We achieved > 93% grain-to-grain classification accuracies in a series of experiments with both fossil and reference material. More significantly, when applied to Quaternary samples, the learning system was able to replicate the count proportions of a human expert (R(2) = 0.78, P = 0.007), with one key difference - the machine achieved these ratios by including larger numbers of grains with low-confidence identifications. Our results demonstrate the capability of machine-learning systems to solve the most challenging palynological classification problem, the discrimination of congeneric species, extending the capabilities of the pollen analyst and improving the taxonomic resolution of the palynological record. © 2012 The Authors. New Phytologist © 2012 New Phytologist Trust.
NASA Astrophysics Data System (ADS)
Zhou, Qiaoying
Academic achievement and student participation in physics are lower than desired. Research has shown that there is a shortage of college students entering science and technology fields such as physics. E-learning may provide the technology-oriented Net Generation learner an option for taking courses such as physics in a course modality with which they are most comfortable thus garnering more participation and higher academic achievement. A quantitative ex-post facto study was performed to compare face-to-face and E-learning modalities on course completion and physics achievement for an entire introductory physics course. The theoretical framework for this study was based on the constructivist theory of education that implies a student-centered learning process. The sample consisted of 116 students enrolled in introductory physics courses at four 2-year community colleges in Texas. Course completion, SAT scores, Force Concept Inventory examination scores, as well as demographic information and employment information were examined. Linear and ordinal multiple regression analysis were used to determine if course modality is predictive of physics achievement while controlling for general scholastic aptitude, current employment, the presence of children in the home, and teacher evaluations. The results showed that students in the E-learning course performed better on the Force Concept Inventory than those in the traditional course both in the multiple regression analysis, beta = .61, p < .001, and in the ordinal regression analysis, Wald(1) = 18.83, p < .001. A chi-square test was used to determine if course completion rates differ between students in the two course modalities. The results showed no difference in course completion rates between students in the two course modalities, chi 2(1, n = 116) = 1.02, p = .312. It was concluded that students in an E-learning course modality had higher physics achievement but were no more likely to complete the introductory physics course than students were in a face-to-face modality. It was recommended that other colleges and universities should develop and test E-learning courses for introductory physics, that larger sample sizes should be used in future studies, and that additional outcome variables including the likelihood that a student chooses physics as a major or the likelihood that a student completes a physics degree should be examined.
Outdoor Experiential Learning to Increase Student Interest in Geoscience Careers
NASA Astrophysics Data System (ADS)
Lazar, K.; Moysey, S. M.
2017-12-01
Outdoor-focused experiential learning opportunities are uncommon for students in large introductory geology courses, despite evidence that field experiences are a significant pathway for students to enter the geoscience pipeline. We address this deficiency by creating an extracurricular program for geology service courses that allows students to engage with classmates to foster a positive affective environment in which they are able to explore their geoscience interests, encouraged to visualize themselves as potential geoscientists, and emboldened to continue on a geoscience/geoscience-adjacent career path. Students in introductory-level geology courses were given pre- and post-semester surveys to assess the impact of these experiential learning experiences on student attitudes towards geoscience careers and willingness to pursue a major/minor in geology. Initial results indicate that high achieving students overall increase their interest in pursuing geology as a major regardless of their participation in extracurricular activities, while low achieving students only demonstrate increased interest in a geology major if they did not participate in extra credit activities. Conversely, high achieving, non-participant students showed no change in interest of pursuing a geology minor, while high achieving participants were much more likely to demonstrate interest in a minor at the end of the course. Similar to the trends of interest in a geology major, low achieving students only show increased interest in a minor if they were non-participants. These initial results indicate that these activities may be more effective in channeling students towards geology minors rather than majors, and could increase the number of students pursuing geoscience-related career paths. There also seem to be several competing factors at play affecting the different student populations, from an increased interest due to experience or a displeasure that geology is not simply `rocks for jocks'. Analysis of data from a larger survey population from subsequent semesters is necessary to further explore the relationship between extracurricular experiential learning and attitudes towards geoscience as a potential career path.
Stories of Change: The Ruhr University of Bochum
NASA Astrophysics Data System (ADS)
Hansen, Holger
With more than 32,000 students and 20 faculties, the Ruhr University of Bochum (RUB) is one of the larger universities in Germany. Together with the Technical University of Dortmund and the University of Duisburg-Essen, it forms the "University Alliance Metropolis Ruhr" (UAMR). This close cooperation creates a unique variety of subjects, which allow for numerous combinations and therefore various study possibilities. In the field of e-Learning, there is the RUBeL network, founded in 2003. Nowadays, it is coordinated by the Unit for e-Learning, an administrative department of the Rectorate. Partners in this network are the Computer Center, the Multimedia Support Center, the Unit for On-the-Job Training and Counseling, and the University Library. The network and collaboration with further central facilities provide a great thematic variety of e-Learning. Permanent duties and collective projects of the Unit for e-Learning and different partners are fixed by agreements, in order to achieve the maximum amount of expertise and quality.
PlayPhysics: An Emotional Games Learning Environment for Teaching Physics
NASA Astrophysics Data System (ADS)
Muñoz, Karla; Kevitt, Paul Mc; Lunney, Tom; Noguez, Julieta; Neri, Luis
To ensure learning, game-based learning environments must incorporate assessment mechanisms, e.g. Intelligent Tutoring Systems (ITSs). ITSs are focused on recognising and influencing the learner's emotional or motivational states. This research focuses on designing and implementing an affective student model for intelligent gaming, which reasons about the learner's emotional state from cognitive and motivational variables using observable behaviour. A Probabilistic Relational Models (PRMs) approach is employed to derive Dynamic Bayesian Networks (DBNs). The model uses the Control-Value theory of 'achievement emotions' as a basis. A preliminary test was conducted to recognise the students' prospective-outcome emotions with results presented and discussed. PlayPhysics is an emotional games learning environment for teaching Physics. Once the affective student model proves effective it will be incorporated into PlayPhysics' architecture. The design, evaluation and postevaluation of PlayPhysics are also discussed. Future work will focus on evaluating the affective student model with a larger population of students, and on providing affective feedback.
Classification of EEG signals using a genetic-based machine learning classifier.
Skinner, B T; Nguyen, H T; Liu, D K
2007-01-01
This paper investigates the efficacy of the genetic-based learning classifier system XCS, for the classification of noisy, artefact-inclusive human electroencephalogram (EEG) signals represented using large condition strings (108bits). EEG signals from three participants were recorded while they performed four mental tasks designed to elicit hemispheric responses. Autoregressive (AR) models and Fast Fourier Transform (FFT) methods were used to form feature vectors with which mental tasks can be discriminated. XCS achieved a maximum classification accuracy of 99.3% and a best average of 88.9%. The relative classification performance of XCS was then compared against four non-evolutionary classifier systems originating from different learning techniques. The experimental results will be used as part of our larger research effort investigating the feasibility of using EEG signals as an interface to allow paralysed persons to control a powered wheelchair or other devices.
Intelligent cooperation: A framework of pedagogic practice in the operating room.
Sutkin, Gary; Littleton, Eliza B; Kanter, Steven L
2018-04-01
Surgeons who work with trainees must address their learning needs without compromising patient safety. We used a constructivist grounded theory approach to examine videos of five teaching surgeries. Attending surgeons were interviewed afterward while watching cued videos of their cases. Codes were iteratively refined into major themes, and then constructed into a larger framework. We present a novel framework, Intelligent Cooperation, which accounts for the highly adaptive, iterative features of surgical teaching in the operating room. Specifically, we define Intelligent Cooperation as a sequence of coordinated exchanges between attending and trainee that accomplishes small surgical steps while simultaneously uncovering the trainee's learning needs. Intelligent Cooperation requires the attending to accurately determine learning needs, perform real-time needs assessment, provide critical scaffolding, and work with the learner to accomplish the next step in the surgery. This is achieved through intense, coordinated verbal and physical cooperation. Copyright © 2017 Elsevier Inc. All rights reserved.
Li, Der-Chiang; Hu, Susan C; Lin, Liang-Sian; Yeh, Chun-Wu
2017-01-01
It is difficult for learning models to achieve high classification performances with imbalanced data sets, because with imbalanced data sets, when one of the classes is much larger than the others, most machine learning and data mining classifiers are overly influenced by the larger classes and ignore the smaller ones. As a result, the classification algorithms often have poor learning performances due to slow convergence in the smaller classes. To balance such data sets, this paper presents a strategy that involves reducing the sizes of the majority data and generating synthetic samples for the minority data. In the reducing operation, we use the box-and-whisker plot approach to exclude outliers and the Mega-Trend-Diffusion method to find representative data from the majority data. To generate the synthetic samples, we propose a counterintuitive hypothesis to find the distributed shape of the minority data, and then produce samples according to this distribution. Four real datasets were used to examine the performance of the proposed approach. We used paired t-tests to compare the Accuracy, G-mean, and F-measure scores of the proposed data pre-processing (PPDP) method merging in the D3C method (PPDP+D3C) with those of the one-sided selection (OSS), the well-known SMOTEBoost (SB) study, and the normal distribution-based oversampling (NDO) approach, and the proposed data pre-processing (PPDP) method. The results indicate that the classification performance of the proposed approach is better than that of above-mentioned methods.
NASA Astrophysics Data System (ADS)
Ellis, Valeisha Michelle
The purpose of this study was to examine whether possible relationships might exist between the quality of reform-based science instruction and science and reading achievement in second grade. The study also examined separately possible interactions between quality of instruction and gender and race. The study involved an analysis of data previously collected in a larger one-group pre/post test study of a science instructional intervention (ISI Science) (Connor et al., 2010). In the original study, six teachers and two graduate assistants taught two science units designed based upon constructivist principles and reform-based practices. Using the 5-E Learning Cycle (Bybee, 1997), reading and science were integrated into each lesson. Videotapes were made of all lessons and science and reading achievement data were collected. For the current study, dependent achievement variables were science achievement measured by the Iowa Science Test; reading comprehension, by the Woodcock Passage Comprehension; and vocabulary, by the Iowa Vocabulary. Pre- and post-tests scores on the dependent measures were available for 96 children from the original study. Quality of instruction was measured using the Reformed Teaching Observation Protocol (RTOP) (Sawanda & Piburn, 2000). Videotapes of 24 science lessons from the larger study were analyzed using the RTOP. Reliability of ratings for the RTOP in the study was determined to be .96. No significant results were found for relations between instructional quality (RTOP) and any of the achievement variables although significant pre to post increases on all three measures were observed. No differences by race or gender were found. This latter finding was noteworthy given the research in science identifying both gender and race differences in science achievement. Recommendations for future research and teacher education are discussed.
Applying interprofessional Team-Based Learning in patient safety: a pilot evaluation study.
Lochner, Lukas; Girardi, Sandra; Pavcovich, Alessandra; Meier, Horand; Mantovan, Franco; Ausserhofer, Dietmar
2018-03-27
Interprofessional education (IPE) interventions are not always successful in achieving learning outcomes. Team-Based Learning (TBL) would appear to be a suitable pedagogical method for IPE, as it focuses on team performance; however, little is known about interprofessional TBL as an instructional framework for patient safety. In this pilot-study, we aimed to (1) describe participants' reactions to TBL, (2) observe their achievement with respect to interprofessional education learning objectives, and (3) document their attitudinal shifts with regard to patient safety behaviours. We developed and implemented a three-day course for pre-qualifying, non-medical healthcare students to give instruction on non-technical skills related to 'learning from errors'. The course consisted of three sequential modules: 'Recognizing Errors', 'Analysing Errors', and 'Reporting Errors'. The evaluation took place within a quasi-experimental pre-test-post-test study design. Participants completed self-assessments through valid and reliable instruments such as the Mennenga's TBL Student Assessment Instrument and the University of the West of England's Interprofessional Questionnaire. The mean scores of the individual readiness assurance tests were compared with the scores of the group readiness assurance test in order to explore if students learned from each other during group discussions. Data was analysed using descriptive (i.e. mean, standard deviation), parametric (i.e. paired t-test), and non-parametric (i.e. Wilcoxon signed-rank test) methods. Thirty-nine students from five different bachelor's programs attended the course. The participants positively rated TBL as an instructional approach. All teams outperformed the mean score of their individual members during the readiness assurance process. We observed significant improvements in 'communication and teamwork' and 'interprofessional learning' but not in 'interprofessional interaction' and 'interprofessional relationships.' Findings on safety attitudes and behaviours were mixed. TBL was well received by the students. Our first findings indicate that interprofessional TBL seems to be a promising pedagogical method to achieve patient safety learning objectives. It is crucial to develop relevant clinical cases that involve all professions. Further research with larger sample sizes (e.g. including medical students) and more rigorous study designs (e.g. pre-test post-test with a control group) is needed to confirm our preliminary findings.
Edagawa, Kouki; Kawasaki, Masahiro
2017-02-22
Rhythm is an essential element of dancing and music. To investigate the neural mechanisms underlying how rhythm is learned, we recorded electroencephalographic (EEG) data during a rhythm-reproducing task that asked participants to memorize an auditory stimulus and reproduce it via tapping. Based on the behavioral results, we divided the participants into Learning and No-learning groups. EEG analysis showed that error-related negativity (ERN) in the Learning group was larger than in the No-learning group. Time-frequency analysis of the EEG data showed that the beta power in right and left temporal area at the late learning stage was smaller than at the early learning stage in the Learning group. Additionally, the beta power in the temporal and cerebellar areas in the Learning group when learning to reproduce the rhythm were larger than in the No Learning group. Moreover, phase synchronization between frontal and temporal regions and between temporal and cerebellar regions at late stages of learning were larger than at early stages. These results indicate that the frontal-temporal-cerebellar beta neural circuits might be related to auditory-motor rhythm learning.
NASA Astrophysics Data System (ADS)
Nurhasanah, F.; Kusumah, Y. S.; Sabandar, J.; Suryadi, D.
2018-05-01
As one of the non-conventional mathematics concepts, Parallel Coordinates is potential to be learned by pre-service mathematics teachers in order to give them experiences in constructing richer schemes and doing abstraction process. Unfortunately, the study related to this issue is still limited. This study wants to answer a research question “to what extent the abstraction process of pre-service mathematics teachers in learning concept of Parallel Coordinates could indicate their performance in learning Analytic Geometry”. This is a case study that part of a larger study in examining mathematical abstraction of pre-service mathematics teachers in learning non-conventional mathematics concept. Descriptive statistics method is used in this study to analyze the scores from three different tests: Cartesian Coordinate, Parallel Coordinates, and Analytic Geometry. The participants in this study consist of 45 pre-service mathematics teachers. The result shows that there is a linear association between the score on Cartesian Coordinate and Parallel Coordinates. There also found that the higher levels of the abstraction process in learning Parallel Coordinates are linearly associated with higher student achievement in Analytic Geometry. The result of this study shows that the concept of Parallel Coordinates has a significant role for pre-service mathematics teachers in learning Analytic Geometry.
Action learning across the decades.
Eason, Ken
2017-05-02
Purpose The purpose of this paper is to explore how action learning concepts were used in two healthcare projects undertaken many decades apart. The specific purpose in both cases was to examine how action learning can contribute to shared learning across key stakeholders in a complex socio-technical system. In each case study, action learning supported joint design programmes and the sharing of perspectives about the complex system under investigation. Design/methodology/approach Two action learning projects are described: first, the Hospital Internal Communications (HIC) project led by Reg Revans in the 1960s. Senior staff in ten London hospitals formed action learning teams to address communication issues. Second, in the Better Outcomes for People with Learning Disabilities: Transforming Care (BOLDTC) project, videoconferencing equipment enabled people with learning disabilities to increase their opportunities to communicate. A mutual learning process was established to enable stakeholders to explore the potential of the technical system to improve individual care. Findings The HIC project demonstrated the importance of evidence being shared between team members and that action had to engage the larger healthcare system outside the hospital. The BOLDTC project confirmed the continuing relevance of action learning to healthcare today. Mutual learning was achieved between health and social care specialists and technologists. Originality/value This work draws together the socio-technical systems tradition (considering both social and technical issues in organisations) and action learning to demonstrate that complex systems development needs to be undertaken as a learning process in which action provides the fuel for learning and design.
Predictors of Sensitivity to Perceptual Learning in Children With Infantile Nystagmus.
Huurneman, Bianca; Boonstra, F Nienke; Goossens, Jeroen
2017-08-01
To identify predictors of sensitivity to perceptual learning on a computerized, near-threshold letter discrimination task in children with infantile nystagmus (idiopathic IN: n = 18; oculocutaneous albinism accompanied by IN: n = 18). Children were divided into two age-, acuity-, and diagnosis-matched training groups: a crowded (n = 18) and an uncrowded training group (n = 18). Training consisted of 10 sessions spread out over 5 weeks (grand total of 3500 trials). Baseline performance, age, diagnosis, training condition, and perceived pleasantness of training (training joy) were entered as linear regression predictors of training-induced changes on a single- and a crowded-letter task. An impressive 57% of the variability in improvements of single-letter visual acuity was explained by age, training condition, and training joy. Being older and training with uncrowded letters were associated with larger single-letter visual acuity improvements. More training joy was associated with a larger gain from the uncrowded training and a smaller gain from the crowded training. Fifty-six percent of the variability in crowded-letter task improvements was explained by baseline performance, age, diagnosis, and training condition. After regressing out the variability induced by training condition, baseline performance, and age, perceptual learning proved more effective for children with idiopathic IN than for children with albinism accompanied by IN. Training gains increased with poorer baseline performance in idiopaths, but not in children with albinism accompanied by IN. Age and baseline performance, but not training joy, are important prognostic factors for the effect of perceptual learning in children with IN. However, their predictive value for achieving improvements in single-letter acuity and crowded letter acuity, respectively, differs between diagnostic subgroups and training condition. These findings may help with personalized treatment of individuals likely to benefit from perceptual learning.
Decision Making and Learning while Taking Sequential Risks
ERIC Educational Resources Information Center
Pleskac, Timothy J.
2008-01-01
A sequential risk-taking paradigm used to identify real-world risk takers invokes both learning and decision processes. This article expands the paradigm to a larger class of tasks with different stochastic environments and different learning requirements. Generalizing a Bayesian sequential risk-taking model to the larger set of tasks clarifies…
Magajna, Lidija; Kavkler, Marija; Ortar-Krizaj, Martina
2003-11-01
This study of adults with self-reported learning disabilities (SRLD) in Slovenia is part of a larger secondary analysis of the data from the International Literacy Survey project (IALS). The purpose of the study was to examine the characteristics of 79 (2.68%) individuals who reported experiencing learning disabilities and compare them to the general population on a variety of indicators of educational background, employment status, and reading and writing activities at work and at home. The proficiency scores of the SRLD individuals were lower in all three literacy domains (prose, document and quantitative literacy). In prose literacy 77.9% of SRLD adults performed at Level 1 and only 7.8% reached the level necessary for a modern technological society. Experiencing learning disabilities was not related to gender or age, however, results showed significant differences between the levels achieved by older and younger people with SRLD. In SRLD groups aged 40 years and above, no one achieved more than the second level of literacy in any domain. Learning disabilities were reported more frequently in rural areas. SRLD groups achieve significantly lower educational attainment, and lower employment status, with a preference for manual labour or craft. These findings are of critical importance. SRLD people report that poorer literacy skills are an obstacle to their progression in employment. In the Slovene sample, the SRLD group stands out for low scores in quantitative literacy. Results show that they are less active, pick up information only auditorily or in short written form. They need more frequent help from relatives in literacy activities. Interpretation of the IALS data on SRLD presents many problems. These include amongst others, problems in terminology, different background factors, and the validity of self-report measures. However, the study also raises many interesting challenges for future research and policy. Increasing the availability of support, assistance and counselling for adolescents and adults with learning disabilities remains a very important goal for dyslexia and LD policies in Slovenia.
NASA Astrophysics Data System (ADS)
Miatun, A.; Muntazhimah
2018-01-01
The aim of this research was to determine the effect of learning models on mathematics achievement viewed from student’s self-regulated learning. The learning model compared were discovery learning and problem-based learning. The population was all students at the grade VIII of Junior High School in Boyolali regency. The samples were students of SMPN 4 Boyolali, SMPN 6 Boyolali, and SMPN 4 Mojosongo. The instruments used were mathematics achievement tests and self-regulated learning questionnaire. The data were analyzed using unbalanced two-ways Anova. The conclusion was as follows: (1) discovery learning gives better achievement than problem-based learning. (2) Achievement of students who have high self-regulated learning was better than students who have medium and low self-regulated learning. (3) For discovery learning, achievement of students who have high self-regulated learning was better than students who have medium and low self-regulated learning. For problem-based learning, students who have high and medium self-regulated learning have the same achievement. (4) For students who have high self-regulated learning, discovery learning gives better achievement than problem-based learning. Students who have medium and low self-regulated learning, both learning models give the same achievement.
CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding
NASA Astrophysics Data System (ADS)
Lanusse, François; Ma, Quanbin; Li, Nan; Collett, Thomas E.; Li, Chun-Liang; Ravanbakhsh, Siamak; Mandelbaum, Rachel; Póczos, Barnabás
2018-01-01
Galaxy-scale strong gravitational lensing can not only provide a valuable probe of the dark matter distribution of massive galaxies, but also provide valuable cosmological constraints, either by studying the population of strong lenses or by measuring time delays in lensed quasars. Due to the rarity of galaxy-scale strongly lensed systems, fast and reliable automated lens finding methods will be essential in the era of large surveys such as Large Synoptic Survey Telescope, Euclid and Wide-Field Infrared Survey Telescope. To tackle this challenge, we introduce CMU DeepLens, a new fully automated galaxy-galaxy lens finding method based on deep learning. This supervised machine learning approach does not require any tuning after the training step which only requires realistic image simulations of strongly lensed systems. We train and validate our model on a set of 20 000 LSST-like mock observations including a range of lensed systems of various sizes and signal-to-noise ratios (S/N). We find on our simulated data set that for a rejection rate of non-lenses of 99 per cent, a completeness of 90 per cent can be achieved for lenses with Einstein radii larger than 1.4 arcsec and S/N larger than 20 on individual g-band LSST exposures. Finally, we emphasize the importance of realistically complex simulations for training such machine learning methods by demonstrating that the performance of models of significantly different complexities cannot be distinguished on simpler simulations. We make our code publicly available at https://github.com/McWilliamsCenter/CMUDeepLens.
Ochi, Kento; Kamiura, Moto
2015-09-01
A multi-armed bandit problem is a search problem on which a learning agent must select the optimal arm among multiple slot machines generating random rewards. UCB algorithm is one of the most popular methods to solve multi-armed bandit problems. It achieves logarithmic regret performance by coordinating balance between exploration and exploitation. Since UCB algorithms, researchers have empirically known that optimistic value functions exhibit good performance in multi-armed bandit problems. The terms optimistic or optimism might suggest that the value function is sufficiently larger than the sample mean of rewards. The first definition of UCB algorithm is focused on the optimization of regret, and it is not directly based on the optimism of a value function. We need to think the reason why the optimism derives good performance in multi-armed bandit problems. In the present article, we propose a new method, which is called Overtaking method, to solve multi-armed bandit problems. The value function of the proposed method is defined as an upper bound of a confidence interval with respect to an estimator of expected value of reward: the value function asymptotically approaches to the expected value of reward from the upper bound. If the value function is larger than the expected value under the asymptote, then the learning agent is almost sure to be able to obtain the optimal arm. This structure is called sand-sifter mechanism, which has no regrowth of value function of suboptimal arms. It means that the learning agent can play only the current best arm in each time step. Consequently the proposed method achieves high accuracy rate and low regret and some value functions of it can outperform UCB algorithms. This study suggests the advantage of optimism of agents in uncertain environment by one of the simplest frameworks. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.
Academic self-concept, learning motivation, and test anxiety of the underestimated student.
Urhahne, Detlef; Chao, Sheng-Han; Florineth, Maria Luise; Luttenberger, Silke; Paechter, Manuela
2011-03-01
BACKGROUND. Teachers' judgments of student performance on a standardized achievement test often result in an overestimation of students' abilities. In the majority of cases, a larger group of overestimated students and a smaller group of underestimated students are formed by these judgments. AIMS. In this research study, the consequences of the underestimation of students' mathematical performance potential were examined. SAMPLE. Two hundred and thirty-five fourth grade students and their fourteen mathematics teachers took part in the investigation. METHOD. Students worked on a standardized mathematics achievement test and completed a self-description questionnaire about motivation and affect. Teachers estimated each individual student's potential with regard to mathematics test performance as well as students' expectancy for success, level of aspiration, academic self-concept, learning motivation, and test anxiety. The differences between teachers' judgments on students' test performance and students' actual performance were used to build groups of underestimated and overestimated students. RESULTS. Underestimated students displayed equal levels of test performance, learning motivation, and level of aspiration in comparison with overestimated students, but had lower expectancy for success, lower academic self-concept, and experienced more test anxiety. Teachers expected that underestimated students would receive lower grades on the next mathematics test, believed that students were satisfied with lower grades, and assumed that the students have weaker learning motivation than their overestimated classmates. CONCLUSION. Teachers' judgment error was not confined to test performance but generalized to motivational and affective traits of the students. © 2010 The British Psychological Society.
Automated expert modeling for automated student evaluation.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Abbott, Robert G.
The 8th International Conference on Intelligent Tutoring Systems provides a leading international forum for the dissemination of original results in the design, implementation, and evaluation of intelligent tutoring systems and related areas. The conference draws researchers from a broad spectrum of disciplines ranging from artificial intelligence and cognitive science to pedagogy and educational psychology. The conference explores intelligent tutoring systems increasing real world impact on an increasingly global scale. Improved authoring tools and learning object standards enable fielding systems and curricula in real world settings on an unprecedented scale. Researchers deploy ITS's in ever larger studies and increasingly use datamore » from real students, tasks, and settings to guide new research. With high volumes of student interaction data, data mining, and machine learning, tutoring systems can learn from experience and improve their teaching performance. The increasing number of realistic evaluation studies also broaden researchers knowledge about the educational contexts for which ITS's are best suited. At the same time, researchers explore how to expand and improve ITS/student communications, for example, how to achieve more flexible and responsive discourse with students, help students integrate Web resources into learning, use mobile technologies and games to enhance student motivation and learning, and address multicultural perspectives.« less
Bee SAFE, a Skill-Building Intervention to Enhance CAM Health Literacy: Lessons Learned.
Shreffler-Grant, Jean; Nichols, Elizabeth G; Weinert, Clarann
2018-05-01
The purpose is to describe a feasibility study of a skill-building intervention to enhance health literacy about complementary and alternative (CAM) therapies among older rural adults and share lessons learned. A study was designed to examine the feasibility of an intervention to enhance CAM health literacy. The theme was "Bee SAFE" for Be a wise user of CAM, Safety, Amount, From where, and Effect. Modules were presented face to face and by webinar with older adults at a senior center in one small rural community. The team achieved its purpose of designing, implementing, and evaluating the intervention and assessing if it could be implemented in a rural community. The implementation challenges encountered and lessons learn are discussed. By improving CAM health literacy, older rural adults with chronic health conditions can make well-reasoned decisions about using CAM for health promotion and illness management. The goal is to implement the Bee SAFE intervention in other rural communities; thus team members were attentive to lessons to be learned before investing time, effort, and expense in the larger intervention. It is hoped that the lessons learned can be instructive to others planning projects in rural communities.
Scaffolding in geometry based on self regulated learning
NASA Astrophysics Data System (ADS)
Bayuningsih, A. S.; Usodo, B.; Subanti, S.
2017-12-01
This research aim to know the influence of problem based learning model by scaffolding technique on junior high school student’s learning achievement. This research took location on the junior high school in Banyumas. The research data obtained through mathematic learning achievement test and self-regulated learning (SRL) questioner. Then, the data analysis used two ways ANOVA. The results showed that scaffolding has positive effect to the mathematic learning achievement. The mathematic learning achievement use PBL-Scaffolding model is better than use PBL. The high SRL category student has better mathematic learning achievement than middle and low SRL categories, and then the middle SRL category has better than low SRL category. So, there are interactions between learning model with self-regulated learning in increasing mathematic learning achievement.
Guided discovery learning in geometry learning
NASA Astrophysics Data System (ADS)
Khasanah, V. N.; Usodo, B.; Subanti, S.
2018-03-01
Geometry is a part of the mathematics that must be learned in school. The purpose of this research was to determine the effect of Guided Discovery Learning (GDL) toward geometry learning achievement. This research had conducted at junior high school in Sukoharjo on academic years 2016/2017. Data collection was done based on student’s work test and documentation. Hypothesis testing used two ways analysis of variance (ANOVA) with unequal cells. The results of this research that GDL gave positive effect towards mathematics learning achievement. GDL gave better mathematics learning achievement than direct learning. There was no difference of mathematics learning achievement between male and female. There was no an interaction between sex differences and learning models toward student’s mathematics learning achievement. GDL can be used to improve students’ mathematics learning achievement in geometry.
A mediation analysis of achievement motives, goals, learning strategies, and academic achievement.
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.
Discovery learning with SAVI approach in geometry learning
NASA Astrophysics Data System (ADS)
Sahara, R.; Mardiyana; Saputro, D. R. S.
2018-05-01
Geometry is one branch of mathematics that an important role in learning mathematics in the schools. This research aims to find out about Discovery Learning with SAVI approach to achievement of learning geometry. This research was conducted at Junior High School in Surakarta city. Research data were obtained through test and questionnaire. Furthermore, the data was analyzed by using two-way Anova. The results showed that Discovery Learning with SAVI approach gives a positive influence on mathematics learning achievement. Discovery Learning with SAVI approach provides better mathematics learning outcomes than direct learning. In addition, students with high self-efficacy categories have better mathematics learning achievement than those with moderate and low self-efficacy categories, while student with moderate self-efficacy categories are better mathematics learning achievers than students with low self-efficacy categories. There is an interaction between Discovery Learning with SAVI approach and self-efficacy toward student's mathematics learning achievement. Therefore, Discovery Learning with SAVI approach can improve mathematics learning achievement.
NASA Astrophysics Data System (ADS)
Irawan, Adi; Mardiyana; Retno Sari Saputro, Dewi
2017-06-01
This research is aimed to find out the effect of learning model towards learning achievement in terms of students’ logical mathematics intelligences. The learning models that were compared were NHT by Concept Maps, TGT by Concept Maps, and Direct Learning model. This research was pseudo experimental by factorial design 3×3. The population of this research was all of the students of class XI Natural Sciences of Senior High School in all regency of Karanganyar in academic year 2016/2017. The conclusions of this research were: 1) the students’ achievements with NHT learning model by Concept Maps were better than students’ achievements with TGT model by Concept Maps and Direct Learning model. The students’ achievements with TGT model by Concept Maps were better than the students’ achievements with Direct Learning model. 2) The students’ achievements that exposed high logical mathematics intelligences were better than students’ medium and low logical mathematics intelligences. The students’ achievements that exposed medium logical mathematics intelligences were better than the students’ low logical mathematics intelligences. 3) Each of student logical mathematics intelligences with NHT learning model by Concept Maps has better achievement than students with TGT learning model by Concept Maps, students with NHT learning model by Concept Maps have better achievement than students with the direct learning model, and the students with TGT by Concept Maps learning model have better achievement than students with Direct Learning model. 4) Each of learning model, students who have logical mathematics intelligences have better achievement then students who have medium logical mathematics intelligences, and students who have medium logical mathematics intelligences have better achievement than students who have low logical mathematics intelligences.
Neural correlates of effective learning in experienced medical decision-makers.
Downar, Jonathan; Bhatt, Meghana; Montague, P Read
2011-01-01
Accurate associative learning is often hindered by confirmation bias and success-chasing, which together can conspire to produce or solidify false beliefs in the decision-maker. We performed functional magnetic resonance imaging in 35 experienced physicians, while they learned to choose between two treatments in a series of virtual patient encounters. We estimated a learning model for each subject based on their observed behavior and this model divided clearly into high performers and low performers. The high performers showed small, but equal learning rates for both successes (positive outcomes) and failures (no response to the drug). In contrast, low performers showed very large and asymmetric learning rates, learning significantly more from successes than failures; a tendency that led to sub-optimal treatment choices. Consistently with these behavioral findings, high performers showed larger, more sustained BOLD responses to failed vs. successful outcomes in the dorsolateral prefrontal cortex and inferior parietal lobule while low performers displayed the opposite response profile. Furthermore, participants' learning asymmetry correlated with anticipatory activation in the nucleus accumbens at trial onset, well before outcome presentation. Subjects with anticipatory activation in the nucleus accumbens showed more success-chasing during learning. These results suggest that high performers' brains achieve better outcomes by attending to informative failures during training, rather than chasing the reward value of successes. The differential brain activations between high and low performers could potentially be developed into biomarkers to identify efficient learners on novel decision tasks, in medical or other contexts.
Piwoz, Ellen G; Huffman, Sandra L; Quinn, Victoria J
2003-03-01
Although many successes have been achieved in promoting breastfeeding, this has not been the case for complementary feeding. Some successes in promoting complementary feeding at the community level have been documented, but few of these efforts have expanded to a larger scale and become sustained. To discover the reasons for this difference, the key factors for the successful promotion of breastfeeding on a large scale were examined and compared with the efforts made in complementary feeding. These factors include definition and rationale, policy support, funding, advocacy, private-sector involvement, availability and use of monitoring data, integration of research into action, and the existence of a well-articulated series of steps for successful implementation. The lessons learned from the promotion of breastfeeding should be applied to complementary feeding, and the new Global Strategy for Infant and Young Child Feeding provides an excellent first step in this process.
McCormick, Meghan P; Cappella, Elise; O'Connor, Erin E; McClowry, Sandee G
2015-09-01
This paper examines whether three dimensions of school climate-leadership, accountability, and safety/respect-moderated the impacts of the INSIGHTS program on students' social-emotional, behavioral, and academic outcomes. Twenty-two urban schools and N = 435 low-income racial/ethnic minority students were enrolled in the study and received intervention services across the course of 2 years, in both kindergarten and first grade. Intervention effects on math and reading achievement were larger for students enrolled in schools with lower overall levels of leadership, accountability, and safety/respect at baseline. Program impacts on disruptive behaviors were greater in schools with lower levels of accountability at baseline; impacts on sustained attention were greater in schools with lower levels of safety/respect at baseline. Implications for Social-Emotional Learning program implementation, replication, and scale-up are discussed.
NASA Astrophysics Data System (ADS)
Kulo, Violet; Bodzin, Alec
2013-02-01
Geospatial technologies are increasingly being integrated in science classrooms to foster learning. This study examined whether a Web-enhanced science inquiry curriculum supported by geospatial technologies promoted urban middle school students' understanding of energy concepts. The participants included one science teacher and 108 eighth-grade students classified in three ability level tracks. Data were gathered through pre/posttest content knowledge assessments, daily classroom observations, and daily reflective meetings with the teacher. Findings indicated a significant increase in the energy content knowledge for all the students. Effect sizes were large for all three ability level tracks, with the middle and low track classes having larger effect sizes than the upper track class. Learners in all three tracks were highly engaged with the curriculum. Curriculum effectiveness and practical issues involved with using geospatial technologies to support science learning are discussed.
Deep Multi-Task Learning for Tree Genera Classification
NASA Astrophysics Data System (ADS)
Ko, C.; Kang, J.; Sohn, G.
2018-05-01
The goal for our paper is to classify tree genera using airborne Light Detection and Ranging (LiDAR) data with Convolution Neural Network (CNN) - Multi-task Network (MTN) implementation. Unlike Single-task Network (STN) where only one task is assigned to the learning outcome, MTN is a deep learning architect for learning a main task (classification of tree genera) with other tasks (in our study, classification of coniferous and deciduous) simultaneously, with shared classification features. The main contribution of this paper is to improve classification accuracy from CNN-STN to CNN-MTN. This is achieved by introducing a concurrence loss (Lcd) to the designed MTN. This term regulates the overall network performance by minimizing the inconsistencies between the two tasks. Results show that we can increase the classification accuracy from 88.7 % to 91.0 % (from STN to MTN). The second goal of this paper is to solve the problem of small training sample size by multiple-view data generation. The motivation of this goal is to address one of the most common problems in implementing deep learning architecture, the insufficient number of training data. We address this problem by simulating training dataset with multiple-view approach. The promising results from this paper are providing a basis for classifying a larger number of dataset and number of classes in the future.
Enhancing performance expectancies through visual illusions facilitates motor learning in children.
Bahmani, Moslem; Wulf, Gabriele; Ghadiri, Farhad; Karimi, Saeed; Lewthwaite, Rebecca
2017-10-01
In a recent study by Chauvel, Wulf, and Maquestiaux (2015), golf putting performance was found to be affected by the Ebbinghaus illusion. Specifically, adult participants demonstrated more effective learning when they practiced with a hole that was surrounded by small circles, making it look larger, than when the hole was surrounded by large circles, making it look smaller. The present study examined whether this learning advantage would generalize to children who are assumed to be less sensitive to the visual illusion. Two groups of 10-year olds practiced putting golf balls from a distance of 2m, with perceived larger or smaller holes resulting from the visual illusion. Self-efficacy was increased in the group with the perceived larger hole. The latter group also demonstrated more accurate putting performance during practice. Importantly, learning (i.e., delayed retention performance without the illusion) was enhanced in the group that practiced with the perceived larger hole. The findings replicate previous results with adult learners and are in line with the notion that enhanced performance expectancies are key to optimal motor learning (Wulf & Lewthwaite, 2016). Copyright © 2017 Elsevier B.V. All rights reserved.
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.
Török, Balázs; Janacsek, Karolina; Nagy, Dávid G; Orbán, Gergő; Nemeth, Dezso
2017-04-01
Learning complex structures from stimuli requires extended exposure and often repeated observation of the same stimuli. Learning induces stimulus-dependent changes in specific performance measures. The same performance measures, however, can also be affected by processes that arise because of extended training (e.g., fatigue) but are otherwise independent from learning. Thus, a thorough assessment of the properties of learning can only be achieved by identifying and accounting for the effects of such processes. Reactive inhibition is a process that modulates behavioral performance measures on a wide range of time scales and often has opposite effects than learning. Here we develop a tool to disentangle the effects of reactive inhibition from learning in the context of an implicit learning task, the alternating serial reaction time (ASRT) task. Our method highlights that the magnitude of the effect of reactive inhibition on measured performance is larger than that of the acquisition of statistical structure from stimuli. We show that the effect of reactive inhibition can be identified not only in population measures but also at the level of performance of individuals, revealing varying degrees of contribution of reactive inhibition. Finally, we demonstrate that a higher proportion of behavioral variance can be explained by learning once the effects of reactive inhibition are eliminated. These results demonstrate that reactive inhibition has a fundamental effect on the behavioral performance that can be identified in individual participants and can be separated from other cognitive processes like learning. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Gender gap or program gap? Students' negotiations of study practice in a course in electromagnetism
NASA Astrophysics Data System (ADS)
Andersson, Staffan; Johansson, Anders
2016-12-01
[This paper is part of the Focused Collection on Gender in Physics.] This study of achievement differences, as reflected by course grades, on a third-semester electromagnetism course at a Swedish research university was motivated by instructor concerns about gender inequalities. Quantitative analysis showed a gender gap in course grades between female and male students for the period of fall 2007 to spring 2013. Dynamics behind this gap were explored through interpretative discourse analysis on interviews of 21 students who had recently passed the course. A recurring pattern was identified in the interviews. Students described studying electromagnetism as either studying to pass or studying to learn. Their choice of practice was influenced by the significance recognized in the course, which primarily was discussed in relation to program affiliation. Students stressed that perceived differences, in their study context, were larger between students affiliated with different programs than between male and female students on the same program. This was supported by quantitative analysis of course grades in relation to study programs, where the grade difference between female and male students on the same program in most cases were not statistically significant. The gender gap in grades for the whole course was related to different achievements on different programs. Programs further from the discipline of physics had lower mean grades and also enrolled a larger fraction of female students. Society-wide gender differences in interest and study choice are reflected in the grades on this single course. These results displace the achievement gap from the level of individuals to that of programs, and the gender gap from a difference in achievement to a difference in study choice. We discuss the implications of this shift of perspective in relation to gender differences for both research and teaching.
NASA Astrophysics Data System (ADS)
Cutrim, E. M.; Rudge, D.; Kits, K.; Mitchell, J.; Nogueira, R.
2006-06-01
Responding to the call for reform in science education, changes were made in an introductory meteorology and climate course offered at a large public university. These changes were a part of a larger project aimed at deepening and extending a program of science content courses that model effective teaching strategies for prospective middle school science teachers. Therefore, revisions were made to address misconceptions about meteorological phenomena, foster deeper understanding of key concepts, encourage engagement with the text, and promote inquiry-based learning. Techniques introduced include: use of a flash cards, student reflection questionnaires, writing assignments, and interactive discussions on weather and forecast data using computer technology such as Integrated Data Viewer (IDV). The revision process is described in a case study format. Preliminary results (self-reflection by the instructor, surveys of student opinion, and measurements of student achievement), suggest student learning has been positively influenced. This study is supported by three grants: NSF grant No. 0202923, the Unidata Equipment Award, and the Lucia Harrison Endowment Fund.
Development of fraction comparison strategies: A latent transition analysis.
Rinne, Luke F; Ye, Ai; Jordan, Nancy C
2017-04-01
The present study investigated the development of fraction comparison strategies through a longitudinal analysis of children's responses to a fraction comparison task in 4th through 6th grades (N = 394). Participants were asked to choose the larger value for 24 fraction pairs blocked by fraction type. Latent class analysis of performance over item blocks showed that most children initially exhibited a "whole number bias," indicating that larger numbers in numerators and denominators produce larger fraction values. However, some children instead chose fractions with smaller numerators and denominators, demonstrating a partial understanding that smaller numbers can yield larger fractions. Latent transition analysis showed that most children eventually adopted normative comparison strategies. Children who exhibited a partial understanding by choosing fractions with smaller numbers were more likely to adopt normative comparison strategies earlier than those with larger number biases. Controlling for general math achievement and other cognitive abilities, whole number line estimation accuracy predicted the probability of transitioning to normative comparison strategies. Exploratory factor analyses showed that over time, children appeared to increasingly represent fractions as discrete magnitudes when simpler strategies were unavailable. These results support the integrated theory of numerical development, which posits that an understanding of numbers as magnitudes unifies the process of learning whole numbers and fractions. The findings contrast with conceptual change theories, which propose that children must move from a view of numbers as counting units to a new view that accommodates fractions to overcome whole number bias. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Schulz, Claudia; Kaufmann, Jürgen M; Kurt, Alexander; Schweinberger, Stefan R
2012-10-15
Distinctive faces are easier to learn and recognise than typical faces. We investigated effects of natural vs. artificial distinctiveness on performance and neural correlates of face learning. Spatial caricatures of initially non-distinctive faces were created such that their rated distinctiveness matched a set of naturally distinctive faces. During learning, we presented naturally distinctive, caricatured, and non-distinctive faces for later recognition among novel faces, using different images of the same identities at learning and test. For learned faces, an advantage in performance was observed for naturally distinctive and caricatured over non-distinctive faces, with larger benefits for naturally distinctive faces. Distinctive and caricatured faces elicited more negative occipitotemporal ERPs (P200, N250) and larger centroparietal positivity (LPC) during learning. At test, earliest distinctiveness effects were again seen in the P200. In line with recent research, N250 and LPC were larger for learned than for novel faces overall. Importantly, whereas left hemispheric N250 was increased for learned naturally distinctive faces, right hemispheric N250 responded particularly to caricatured novel faces. We conclude that natural distinctiveness induces benefits to face recognition beyond those induced by exaggeration of a face's idiosyncratic shape, and that the left hemisphere in particular may mediate recognition across different images. Copyright © 2012 Elsevier Inc. All rights reserved.
Learning styles and academic achievement among undergraduate medical students in Thailand.
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.
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…
Problem based learning with scaffolding technique on geometry
NASA Astrophysics Data System (ADS)
Bayuningsih, A. S.; Usodo, B.; Subanti, S.
2018-05-01
Geometry as one of the branches of mathematics has an important role in the study of mathematics. This research aims to explore the effectiveness of Problem Based Learning (PBL) with scaffolding technique viewed from self-regulation learning toward students’ achievement learning in mathematics. The research data obtained through mathematics learning achievement test and self-regulated learning (SRL) questionnaire. This research employed quasi-experimental research. The subjects of this research are students of the junior high school in Banyumas Central Java. The result of the research showed that problem-based learning model with scaffolding technique is more effective to generate students’ mathematics learning achievement than direct learning (DL). This is because in PBL model students are more able to think actively and creatively. The high SRL category student has better mathematic learning achievement than middle and low SRL categories, and then the middle SRL category has better than low SRL category. So, there are interactions between learning model with self-regulated learning in increasing mathematic learning achievement.
Kim, Eun Young; Lee, Min Young; Kim, Se Hyun; Ha, Kyooseob; Kim, Kwang Pyo; Ahn, Yong Min
2017-06-02
Major depressive disorder (MDD) is a systemic and multifactorial disorder that involves abnormalities in multiple biochemical pathways and the autonomic nervous system. This study applied a machine-learning method to classify MDD and control groups by incorporating data from serum proteomic analysis and heart rate variability (HRV) analysis for the identification of novel peripheral biomarkers. The study subjects consisted of 25 drug-free female MDD patients and 25 age- and sex-matched healthy controls. First, quantitative serum proteome profiles were analyzed by liquid chromatography-tandem mass spectrometry using pooled serum samples from 10 patients and 10 controls. Next, candidate proteins were quantified with multiple reaction monitoring (MRM) in 50 subjects. We also analyzed 22 linear and nonlinear HRV parameters in 50 subjects. Finally, we identified a combined biomarker panel consisting of proteins and HRV indexes using a support vector machine with recursive feature elimination. A separation between MDD and control groups was achieved using five parameters (apolipoprotein B, group-specific component, ceruloplasmin, RMSSD, and SampEn) at 80.1% classification accuracy. A combination of HRV and proteomic data achieved better classification accuracy. A high classification accuracy can be achieved by combining multimodal information from heart rate dynamics and serum proteomics in MDD. Our approach can be helpful for accurate clinical diagnosis of MDD. Further studies using larger, independent cohorts are needed to verify the role of these candidate biomarkers for MDD diagnosis. Copyright © 2017 Elsevier Inc. All rights reserved.
Paulucci, David J; Abaza, Ronney; Eun, Daniel D; Hemal, Ashok K; Badani, Ketan K
2017-05-01
To evaluate trends in peri-operative outcomes of 250 consecutive cases beyond the initial learning curve (LC) of robot-assisted partial nephrectomy (RAPN) among multiple surgeons. A multi-institutional database was used to evaluate trends in patient demographics (e.g. age, gender, comorbidities), tumour characteristics (e.g. size, complexity) and peri-operative outcomes (e.g. warm ischaemia time [WIT], operating time, complications, estimated blood loss [EBL], trifecta achievement) in consecutive cases 50-300 (n = 960) from 2008 to 2016 among four experienced surgeons. Trends in outcomes were assessed using multivariable regression models adjusted for demographic and tumour-specific variables. Outcomes for cases 50-99 were compared with those for cases 250-300. In the study period RAPN was increasingly performed in patients with larger tumours (β = 0.001, P = 0.048), hypertension (odds ratio [OR] 1.003; P = 0.008) diabetes (OR 1.003; P = 0.025) and previous abdominal surgery (OR 1.003; P = 0.006). Surgeon experience was associated with more trifecta achievement (OR 1.006; P < 0.001), shorter WIT (β = -0.036, P < 0.001), less EBL (β = -0.154, P = 0.009), fewer blood transfusions (OR 0.989, P = 0.024) and a reduced length of hospital stay (β = -0.002, P = 0.002), but not with operating time (P = 0.243), complications (P = 0.587) or surgical margin status (P = 0.102). Tumour size and WIT in cases 50-99 vs 250-300 were 2.7 vs 3.2 cm (P = 0.001) and 21.4 vs 16.2 min (P < 0.001), respectively. Refinement of RAPN outcomes, concomitant with the treatment of a patient population with larger tumours and more comorbidities, occurs after the initial LC is reached. Although RAPN can consistently be performed safely with acceptable outcomes after a small number of cases, improvement in trifecta achievement, WIT, EBL, blood transfusions and a shorter hospitalization continues to occur up to 300 procedures. © 2016 The Authors BJU International © 2016 BJU International Published by John Wiley & Sons Ltd.
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.
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…
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…
A Case for Contextual Learning.
ERIC Educational Resources Information Center
Souders, John; Prescott, Carolyn
1999-01-01
Establishing schooling/larger world connections is critical for adolescents. The contextual learning approach views learning as most effective when information is presented within a familiar framework. Employing puzzles, hands-on learning activities, project-based learning, contextual connections, applied math, mentoring, and wider audiences…
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.
Cooperative learning model with high order thinking skills questions: an understanding on geometry
NASA Astrophysics Data System (ADS)
Sari, P. P.; Budiyono; Slamet, I.
2018-05-01
Geometry, a branch of mathematics, has an important role in mathematics learning. This research aims to find out the effect of learning model, emotional intelligence, and the interaction between learning model and emotional intelligence toward students’ mathematics achievement. This research is quasi-experimental research with 2 × 3 factorial design. The sample in this research included 179 Senior High School students on 11th grade in Sukoharjo Regency, Central Java, Indonesia in academic year of 2016/2017. The sample was taken by using stratified cluster random sampling. The results showed that: the student are taught by Thinking Aloud Pairs Problem-Solving using HOTs questions provides better mathematics learning achievement than Make A Match using HOTs questions. High emotional intelligence students have better mathematics learning achievement than moderate and low emotional intelligence students, and moderate emotional intelligence students have better mathematics learning achievement than low emotional intelligence students. There is an interaction between learning model and emotional intelligence, and these affect mathematics learning achievement. We conclude that appropriate learning model can support learning activities become more meaningful and facilitate students to understand material. For further research, we suggest to explore the contribution of other aspects in cooperative learning modification to mathematics achievement.
Learning styles and academic achievement among undergraduate medical students in Thailand
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
The Impact of the Flipped Classroom on Mathematics Concept Learning in High School
ERIC Educational Resources Information Center
Bhagat, Kaushal Kumar; Chang, Cheng-Nan; Chang, Chun-Yen
2016-01-01
The present study aimed to examine the effectiveness of the flipped classroom learning environment on learner's learning achievement and motivation, as well as to investigate the effects of flipped classrooms on learners with different achievement levels in learning mathematics concepts. The learning achievement and motivation were measured by the…
ERIC Educational Resources Information Center
Moyer-Packenham, Patricia S.; Shumway, Jessica F.; Bullock, Emma; Tucker, Stephen I.; Anderson-Pence, Katie L.; Westenskow, Arla; Boyer-Thurgood, Jennifer; Maahs-Fladung, Cathy; Symanzik, Juergen; Mahamane, Salif; MacDonald, Beth; Jordan, Kerry
2015-01-01
Part of a larger initiation mixed methods study (Greene, Caracelli, & Graham, 1989), this paper discusses the changes in young children's learning performance and efficiency (one element of the quantitative portion of the larger study) during clinical interviews in which each child interacted with a variety of virtual manipulative…
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.
Amador-Vargas, Sabrina; Gronenberg, Wulfila; Wcislo, William T.; Mueller, Ulrich
2015-01-01
Group size in both multicellular organisms and animal societies can correlate with the degree of division of labour. For ants, the task specialization hypothesis (TSH) proposes that increased behavioural specialization enabled by larger group size corresponds to anatomical specialization of worker brains. Alternatively, the social brain hypothesis proposes that increased levels of social stimuli in larger colonies lead to enlarged brain regions in all workers, regardless of their task specialization. We tested these hypotheses in acacia ants (Pseudomyrmex spinicola), which exhibit behavioural but not morphological task specialization. In wild colonies, we marked, followed and tested ant workers involved in foraging tasks on the leaves (leaf-ants) and in defensive tasks on the host tree trunk (trunk-ants). Task specialization increased with colony size, especially in defensive tasks. The relationship between colony size and brain region volume was task-dependent, supporting the TSH. Specifically, as colony size increased, the relative size of regions within the mushroom bodies of the brain decreased in trunk-ants but increased in leaf-ants; those regions play important roles in learning and memory. Our findings suggest that workers specialized in defence may have reduced learning abilities relative to leaf-ants; these inferences remain to be tested. In societies with monomorphic workers, brain polymorphism enhanced by group size could be a mechanism by which division of labour is achieved. PMID:25567649
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.
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…
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…
Improved method in distance teaching of physics
NASA Astrophysics Data System (ADS)
Gustafsson, Peter
2004-03-01
Results of introducing cooperative working methods on a distance learning course in physics are reported. This has increased the throughput of students in the course as measured in the number of ECTS points generated by the students. There is no significant indication that students more experienced in academic studies manage to complete the course more often than those with less experience. In student groups where the cooperative concept was fully realized a larger gain of knowledge was achieved, as measured by the force concept inventory test. Hence, it is important for the tutor to monitor activities in the groups by follow-up questions during the course and to stress the importance of all students participating actively.
Managing the Right Projects: Best Practices to Align Project and Corporate Strategies
NASA Technical Reports Server (NTRS)
Watkins, Bobby
2012-01-01
If there's a human endeavor that exemplifies teamwork, it is space exploration. And that teamwork absolutely cannot happen effectively if the boots on the ground the people doing the work - don't understand how their work aligns with the larger goal. This presentation will discuss some best management practices from NASA's Marshall Space Flight Center that have succeeded in helping employees become informed, engaged and committed to the space agency's important missions. Specific topics include: Alignment Criteria: Linking Projects To Corporate Strategy. Resource Management: Best Practices For Resource Management. Strategic Analysis: Supporting Decision Making In A Changing Environment. Communication Strategies: Best Practices To Communicate Change. Benefits Achieved And Lessons Learned.
Student Learning Strategy and Soft-skill in Clothing Business Management
NASA Astrophysics Data System (ADS)
Ampera, D.
2018-02-01
Clothing Business Management course is a subject delivering knowledge and skills about how to manage clothing business. This course requires students’ ethics, leadership, commitment, toughness, honesty, and the ability to take initiative, argue logically, and work together. However, students are not fully efficient in managing a business during practical task. The purpose of the study is to investigate: (1) the differences of students’ learning achievement between those receiving gradual and conventional learning strategy, (2)the effect of interactions between learning strategy and soft skills toward students learning achievement, (3) the differences of learning achievement of high soft skills students who receive gradual and conventional learning strategy, (4) the differences of learning achievement of low soft skills students who receive gradual and conventional learning strategy. The 2x2 treatment-by-level experimental study was carried out in Dressmaking Study Program. The result proved significantly that, overall, differences of students learning achievement exist, except of low soft skills 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…
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…
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
Becker, A S; Blüthgen, C; Phi van, V D; Sekaggya-Wiltshire, C; Castelnuovo, B; Kambugu, A; Fehr, J; Frauenfelder, T
2018-03-01
To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of chest X-ray (CXR) images of tuberculosis (TB) patients. In this prospective, observational study, patients with previously diagnosed TB were enrolled. Photographs of their CXRs were taken using a consumer-grade digital still camera. The images were stratified by pathological patterns into classes: cavity, consolidation, effusion, interstitial changes, miliary pattern or normal examination. Image analysis was performed with commercially available Deep Learning software in two steps. Pathological areas were first localised; detected areas were then classified. Detection was assessed using receiver operating characteristics (ROC) analysis, and classification using a confusion matrix. The study cohort was 138 patients with human immunodeficiency virus (HIV) and TB co-infection (median age 34 years, IQR 28-40); 54 patients were female. Localisation of pathological areas was excellent (area under the ROC curve 0.82). The software could perfectly distinguish pleural effusions from intraparenchymal changes. The most frequent misclassifications were consolidations as cavitations, and miliary patterns as interstitial patterns (and vice versa). Deep Learning analysis of CXR photographs is a promising tool. Further efforts are needed to build larger, high-quality data sets to achieve better diagnostic performance.
Learning higher-order generalizations through free play: Evidence from 2- and 3-year-old children.
Sim, Zi L; Xu, Fei
2017-04-01
Constructivist views of cognitive development often converge on 2 key points: (a) the child's goal is to build large conceptual structures for understanding the world, and (b) the child plays an active role in developing these structures. While previous research has demonstrated that young children show a precocious capacity for concept and theory building when they are provided with helpful data within training settings, and that they explore their environment in ways that may promote learning, it remains an open question whether young children are able to build larger conceptual structures using self-generated evidence, a form of active learning. In the current study, we examined whether children can learn high-order generalizations (which form the basis for larger conceptual structures) through free play, and whether they can do so as effectively as when provided with relevant data. Results with 2- and 3-year-old children over 4 experiments indicate robust learning through free play, and generalization performance was comparable between free play and didactic conditions. Therefore, young children's self-directed learning supports the development of higher-order generalizations, laying the foundation for building larger conceptual structures and intuitive theories. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
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…
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.
Evoked prior learning experience and approach to learning as predictors of academic achievement.
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 not related to academic achievement, and teaching quality and conceptions of learning were only indirectly related to achievement. Research aimed at understanding how students experience their learning environment and how that experience relates to the quality of their learning needs to be conducted using a wider range of variables and more sophisticated analytical methods. In this study of one context, some of the relations found in earlier bivariate studies, and on which learning intervention strategies have been built, are not confirmed when more holistic teaching-learning contexts are analysed using multi-variable methods. © 2012 The British Psychological Society.
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…
The use of active learning strategies in the instruction of Reactor Physics concepts
DOE Office of Scientific and Technical Information (OSTI.GOV)
Robinson, Michael A.
2000-01-01
Each of the Active Learning strategies employed to teach Reactor Physics material has been or promises to be instructionally successful. The Cooperative Group strategy has demonstrated a statistically significant increase in student performance on the unit exam in teaching conceptually difficult, transport and diffusion theory material. However, this result was achieved at the expense of a modest increase in class time. The Tutorial CBI programs have enabled learning equally as well as classroom lectures without the direct intervention of an instructor. Thus, the Tutorials have been successful as homework assignments, releasing classroom time for other instruction. However, the time requiredmore » for development of these tools was large, on the order of two hundred hours per hour of instruction. The initial introduction of the Case-Based strategy was roughly as effective as the traditional classroom instruction. Case-Based learning could well, after important modifications, perform better than traditional instruction. A larger percentage of the students prefer active learning strategies than prefer traditional lecture presentations. Student preferences for the active strategies were particularly strong when they believed that the strategies helped them learn the material better than they would have by using a lecture format. In some cases, students also preferred the active strategies because they were different from traditional instruction, a change of pace. Some students preferred lectures to CBI instruction, primarily because the CBI did not afford them the opportunity to question the instructor during the presentation.« less
Atzori, Manfredo; Cognolato, Matteo; Müller, Henning
2016-01-01
Natural control methods based on surface electromyography (sEMG) and pattern recognition are promising for hand prosthetics. However, the control robustness offered by scientific research is still not sufficient for many real life applications, and commercial prostheses are capable of offering natural control for only a few movements. In recent years deep learning revolutionized several fields of machine learning, including computer vision and speech recognition. Our objective is to test its methods for natural control of robotic hands via sEMG using a large number of intact subjects and amputees. We tested convolutional networks for the classification of an average of 50 hand movements in 67 intact subjects and 11 transradial amputees. The simple architecture of the neural network allowed to make several tests in order to evaluate the effect of pre-processing, layer architecture, data augmentation and optimization. The classification results are compared with a set of classical classification methods applied on the same datasets. The classification accuracy obtained with convolutional neural networks using the proposed architecture is higher than the average results obtained with the classical classification methods, but lower than the results obtained with the best reference methods in our tests. The results show that convolutional neural networks with a very simple architecture can produce accurate results comparable to the average classical classification methods. They show that several factors (including pre-processing, the architecture of the net and the optimization parameters) can be fundamental for the analysis of sEMG data. Larger networks can achieve higher accuracy on computer vision and object recognition tasks. This fact suggests that it may be interesting to evaluate if larger networks can increase sEMG classification accuracy too. PMID:27656140
Atzori, Manfredo; Cognolato, Matteo; Müller, Henning
2016-01-01
Natural control methods based on surface electromyography (sEMG) and pattern recognition are promising for hand prosthetics. However, the control robustness offered by scientific research is still not sufficient for many real life applications, and commercial prostheses are capable of offering natural control for only a few movements. In recent years deep learning revolutionized several fields of machine learning, including computer vision and speech recognition. Our objective is to test its methods for natural control of robotic hands via sEMG using a large number of intact subjects and amputees. We tested convolutional networks for the classification of an average of 50 hand movements in 67 intact subjects and 11 transradial amputees. The simple architecture of the neural network allowed to make several tests in order to evaluate the effect of pre-processing, layer architecture, data augmentation and optimization. The classification results are compared with a set of classical classification methods applied on the same datasets. The classification accuracy obtained with convolutional neural networks using the proposed architecture is higher than the average results obtained with the classical classification methods, but lower than the results obtained with the best reference methods in our tests. The results show that convolutional neural networks with a very simple architecture can produce accurate results comparable to the average classical classification methods. They show that several factors (including pre-processing, the architecture of the net and the optimization parameters) can be fundamental for the analysis of sEMG data. Larger networks can achieve higher accuracy on computer vision and object recognition tasks. This fact suggests that it may be interesting to evaluate if larger networks can increase sEMG classification accuracy too.
Two Meta-Analyses Exploring the Relationship between Teacher Clarity and Student Learning
ERIC Educational Resources Information Center
Titsworth, Scott; Mazer, Joseph P.; Goodboy, Alan K.; Bolkan, San; Myers, Scott A.
2015-01-01
This article reports the findings of two meta-analyses that explored the relationship between teacher clarity and student learning. Combined, the results suggest that teacher clarity has a larger effect for student affective learning than for cognitive learning. However, neither the effects for cognitive learning nor affective learning were…
NASA Technical Reports Server (NTRS)
Parazynski, Scott
2012-01-01
Dr. Parazynski and a colleague from Extravehicular Activity (EVA), Robotics, & Crew Systems Operations (DX) worked closely to build the EVA Skills Training Program, and for the first time, defined the gold standards of EVA performance, allowing crewmembers to increase their performance significantly. As part of the program, individuals had the opportunity to learn at their own rate, taking additional water time as required, to achieve that level of performance. This focus on training to one's strengths and weaknesses to bolster them enabled the Crew Office and DX to field a much larger group of spacewalkers for the daunting "wall of EVA" required for the building and maintenance of the ISS. Parazynski also stressed the need for designers to understand the capabilities and the limitations of a human in a spacesuit, as well as opportunities to improve future generations of space. He shared lessons learned (how the Crew Office engaged in these endeavors) and illustrated the need to work as a team to develop these complex systems.
A User-Centric Adaptive Learning System for E-Learning 2.0
ERIC Educational Resources Information Center
Huang, Shiu-Li; Shiu, Jung-Hung
2012-01-01
The success of Web 2.0 inspires e-learning to evolve into e-learning 2.0, which exploits collective intelligence to achieve user-centric learning. However, searching for suitable learning paths and content for achieving a learning goal is time consuming and troublesome on e-learning 2.0 platforms. Therefore, introducing formal learning in these…
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…
Advancing Learner Autonomy in TEFL via Collaborative Learning
ERIC Educational Resources Information Center
Jacobs, George M.; Shan, Tan Hui
2015-01-01
The present paper begins by situating learner autonomy and collaborative learning as part of a larger paradigm shift towards student-centred learning. Next are brief discussions of learner autonomy and how learner autonomy links with collaborative learning. In the main part of the paper, four central principles of collaborative learning are…
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…
ERIC Educational Resources Information Center
Adesope, Olusola O.; Zhou, Mingming; Nesbit, John C.
2015-01-01
The purpose of this study was to investigate whether achievement motivations influence the adoption of learning strategies and learning strategies influence studying behavior in an online learning environment. The Goal Orientation Questionnaire was used to measure achievement motives, and the Motivated Strategies for Learning Questionnaire was…
The Effects of Rhythmicity and Amplitude on Transfer of Motor Learning
Ben-Tov, Mor; Levy-Tzedek, Shelly; Karniel, Amir
2012-01-01
We perform rhythmic and discrete arm movements on a daily basis, yet the motor control literature is not conclusive regarding the mechanisms controlling these movements; does a single mechanism generate both movement types, or are they controlled by separate mechanisms? A recent study reported partial asymmetric transfer of learning from discrete movements to rhythmic movements. Other studies have shown transfer of learning between large-amplitude to small-amplitude movements. The goal of this study is to explore which aspect is important for learning to be transferred from one type of movement to another: rhythmicity, amplitude or both. We propose two hypotheses: (1) Rhythmic and discrete movements are generated by different mechanisms; therefore we expect to see a partial or no transfer of learning between the two types of movements; (2) Within each movement type (rhythmic/discrete), there will be asymmetric transition of learning from larger movements to smaller ones. We used a learning-transfer paradigm, in which 70 participants performed flexion/extension movements with their forearm, and switched between types of movement, which differed in amplitude and/or rhythmicity. We found partial transfer of learning between discrete and rhythmic movements, and an asymmetric transfer of learning from larger movements to smaller movements (within the same type of movement). Our findings suggest that there are two different mechanisms underlying the generation of rhythmic and discrete arm movements, and that practicing on larger movements helps perform smaller movements; the latter finding might have implications for rehabilitation. PMID:23056549
The effects of rhythmicity and amplitude on transfer of motor learning.
Ben-Tov, Mor; Levy-Tzedek, Shelly; Karniel, Amir
2012-01-01
We perform rhythmic and discrete arm movements on a daily basis, yet the motor control literature is not conclusive regarding the mechanisms controlling these movements; does a single mechanism generate both movement types, or are they controlled by separate mechanisms? A recent study reported partial asymmetric transfer of learning from discrete movements to rhythmic movements. Other studies have shown transfer of learning between large-amplitude to small-amplitude movements. The goal of this study is to explore which aspect is important for learning to be transferred from one type of movement to another: rhythmicity, amplitude or both. We propose two hypotheses: (1) Rhythmic and discrete movements are generated by different mechanisms; therefore we expect to see a partial or no transfer of learning between the two types of movements; (2) Within each movement type (rhythmic/discrete), there will be asymmetric transition of learning from larger movements to smaller ones. We used a learning-transfer paradigm, in which 70 participants performed flexion/extension movements with their forearm, and switched between types of movement, which differed in amplitude and/or rhythmicity. We found partial transfer of learning between discrete and rhythmic movements, and an asymmetric transfer of learning from larger movements to smaller movements (within the same type of movement). Our findings suggest that there are two different mechanisms underlying the generation of rhythmic and discrete arm movements, and that practicing on larger movements helps perform smaller movements; the latter finding might have implications for rehabilitation.
Punishment sensitivity modulates the processing of negative feedback but not error-induced learning.
Unger, Kerstin; Heintz, Sonja; Kray, Jutta
2012-01-01
Accumulating evidence suggests that individual differences in punishment and reward sensitivity are associated with functional alterations in neural systems underlying error and feedback processing. In particular, individuals highly sensitive to punishment have been found to be characterized by larger mediofrontal error signals as reflected in the error negativity/error-related negativity (Ne/ERN) and the feedback-related negativity (FRN). By contrast, reward sensitivity has been shown to relate to the error positivity (Pe). Given that Ne/ERN, FRN, and Pe have been functionally linked to flexible behavioral adaptation, the aim of the present research was to examine how these electrophysiological reflections of error and feedback processing vary as a function of punishment and reward sensitivity during reinforcement learning. We applied a probabilistic learning task that involved three different conditions of feedback validity (100%, 80%, and 50%). In contrast to prior studies using response competition tasks, we did not find reliable correlations between punishment sensitivity and the Ne/ERN. Instead, higher punishment sensitivity predicted larger FRN amplitudes, irrespective of feedback validity. Moreover, higher reward sensitivity was associated with a larger Pe. However, only reward sensitivity was related to better overall learning performance and higher post-error accuracy, whereas highly punishment sensitive participants showed impaired learning performance, suggesting that larger negative feedback-related error signals were not beneficial for learning or even reflected maladaptive information processing in these individuals. Thus, although our findings indicate that individual differences in reward and punishment sensitivity are related to electrophysiological correlates of error and feedback processing, we found less evidence for influences of these personality characteristics on the relation between performance monitoring and feedback-based learning.
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…
The correlation between achievement goals, learning strategies, and motivation in medical students.
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.
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.
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…
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…
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…
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…
NASA Astrophysics Data System (ADS)
Ison, Mark; Artemiadis, Panagiotis
2014-10-01
Myoelectric control is filled with potential to significantly change human-robot interaction due to the ability to non-invasively measure human motion intent. However, current control schemes have struggled to achieve the robust performance that is necessary for use in commercial applications. As demands in myoelectric control trend toward simultaneous multifunctional control, multi-muscle coordinations, or synergies, play larger roles in the success of the control scheme. Detecting and refining patterns in muscle activations robust to the high variance and transient changes associated with surface electromyography is essential for efficient, user-friendly control. This article reviews the role of muscle synergies in myoelectric control schemes by dissecting each component of the scheme with respect to associated challenges for achieving robust simultaneous control of myoelectric interfaces. Electromyography recording details, signal feature extraction, pattern recognition and motor learning based control schemes are considered, and future directions are proposed as steps toward fulfilling the potential of myoelectric control in clinically and commercially viable applications.
Equity in Reform: Case Studies of Five Middle Schools Involved in Systemic Reform
NASA Astrophysics Data System (ADS)
Kahle, Jane Butler; Kelly, Mary Kay
Science and mathematics education reform documents of the last decade have called for improved teaching and learning for all children. To overcome inequalities, a systemic approach to reform has been adopted. The case studies synthesized in this analysis arc part of a larger effort to reform science and mathematics education systemically and assess the progress of systemic reform. The purpose of this study was to assess the progress toward achieving equitable systemic reform in five middle schools. A multiple-case study design was used, and qualitative data were collected. Kahle's Equity Metric was used to analyze the schools' progress toward achieving equitable systemic reform of mathematics and science. Two results occurred: Various equity issues were identified in the five case studies, and the metric proved efficacious in identifying barriers to or facilitators of equitable reform in the schools. Overall, the study illustrates how schools might assess their commitments to providing high-quality science and mathematics education to all students.
Optimizing the learning rate for adaptive estimation of neural encoding models
2018-01-01
Closed-loop neurotechnologies often need to adaptively learn an encoding model that relates the neural activity to the brain state, and is used for brain state decoding. The speed and accuracy of adaptive learning algorithms are critically affected by the learning rate, which dictates how fast model parameters are updated based on new observations. Despite the importance of the learning rate, currently an analytical approach for its selection is largely lacking and existing signal processing methods vastly tune it empirically or heuristically. Here, we develop a novel analytical calibration algorithm for optimal selection of the learning rate in adaptive Bayesian filters. We formulate the problem through a fundamental trade-off that learning rate introduces between the steady-state error and the convergence time of the estimated model parameters. We derive explicit functions that predict the effect of learning rate on error and convergence time. Using these functions, our calibration algorithm can keep the steady-state parameter error covariance smaller than a desired upper-bound while minimizing the convergence time, or keep the convergence time faster than a desired value while minimizing the error. We derive the algorithm both for discrete-valued spikes modeled as point processes nonlinearly dependent on the brain state, and for continuous-valued neural recordings modeled as Gaussian processes linearly dependent on the brain state. Using extensive closed-loop simulations, we show that the analytical solution of the calibration algorithm accurately predicts the effect of learning rate on parameter error and convergence time. Moreover, the calibration algorithm allows for fast and accurate learning of the encoding model and for fast convergence of decoding to accurate performance. Finally, larger learning rates result in inaccurate encoding models and decoders, and smaller learning rates delay their convergence. The calibration algorithm provides a novel analytical approach to predictably achieve a desired level of error and convergence time in adaptive learning, with application to closed-loop neurotechnologies and other signal processing domains. PMID:29813069
Optimizing the learning rate for adaptive estimation of neural encoding models.
Hsieh, Han-Lin; Shanechi, Maryam M
2018-05-01
Closed-loop neurotechnologies often need to adaptively learn an encoding model that relates the neural activity to the brain state, and is used for brain state decoding. The speed and accuracy of adaptive learning algorithms are critically affected by the learning rate, which dictates how fast model parameters are updated based on new observations. Despite the importance of the learning rate, currently an analytical approach for its selection is largely lacking and existing signal processing methods vastly tune it empirically or heuristically. Here, we develop a novel analytical calibration algorithm for optimal selection of the learning rate in adaptive Bayesian filters. We formulate the problem through a fundamental trade-off that learning rate introduces between the steady-state error and the convergence time of the estimated model parameters. We derive explicit functions that predict the effect of learning rate on error and convergence time. Using these functions, our calibration algorithm can keep the steady-state parameter error covariance smaller than a desired upper-bound while minimizing the convergence time, or keep the convergence time faster than a desired value while minimizing the error. We derive the algorithm both for discrete-valued spikes modeled as point processes nonlinearly dependent on the brain state, and for continuous-valued neural recordings modeled as Gaussian processes linearly dependent on the brain state. Using extensive closed-loop simulations, we show that the analytical solution of the calibration algorithm accurately predicts the effect of learning rate on parameter error and convergence time. Moreover, the calibration algorithm allows for fast and accurate learning of the encoding model and for fast convergence of decoding to accurate performance. Finally, larger learning rates result in inaccurate encoding models and decoders, and smaller learning rates delay their convergence. The calibration algorithm provides a novel analytical approach to predictably achieve a desired level of error and convergence time in adaptive learning, with application to closed-loop neurotechnologies and other signal processing domains.
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)
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…
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.
NASA Astrophysics Data System (ADS)
Mandell, Brian E.
The purpose of the present embedded mixed method study was to examine the self-regulatory processes used by high, average, and low achieving seventh grade students as they learned about a complex science topic from a hypermedia learning environment. Thirty participants were sampled. Participants were administered a number of measures to assess their achievement and self-efficacy. In addition, a microanalytic methodology, grounded in Zimmerman's cyclical model of self-regulated learning, was used to assess student self-regulated learning. It was hypothesized that there would be modest positive correlations between Zimmerman's three phases of self-regulated learning, that high achieving science students would deploy more self-regulatory subprocesses than average and low achieving science students, that high achieving science students would have higher self-efficacy beliefs to engage in self-regulated learning than average and low achieving science students, and that low achieving science students would over-estimate their self-efficacy for performance beliefs, average achieving science students would slightly overestimate their self-efficacy for performance beliefs, and high achieving science students would under-estimate their self-efficacy for performance beliefs. All hypotheses were supported except for the high achieving science students who under-estimated their self-efficacy for performance beliefs on the Declarative Knowledge Measure and slightly overestimated their self-efficacy for performance beliefs on the Conceptual Knowledge Measure. Finally, all measures of self-regulated learning were combined and entered into a regression formula to predict the students' scores on the two science tests, and it was revealed that the combined measure predicted 91% of the variance on the Declarative Knowledge Measure and 92% of the variance on the Conceptual Knowledge Measure. This study adds hypermedia learning environments to the contexts that the microanalytic methodology has been successfully administered. Educational implications and limitations to the study are also discussed.
NASA Astrophysics Data System (ADS)
Emdin, Christopher
The body of work presented in this dissertation is a response to the reported association between poor outcomes in science achievement and students of color in urban schools. By presenting counterexamples to the cultural motif that urban students of color perform poorly in science, I argue that poor achievement cannot be traced to a group of people but can be linked to institutions promoting subject delivery methods that instill distaste for science and compel students to display an illusion of disinterest in school. There are two major goals of this study. First, I plan to demonstrate how plans of action generated by coteachers and cogenerative dialogue groups can coalesce under the ethos of making science and schooling accessible to populations that are traditionally marginalized from science achievement. My second aim is to develop mechanisms for transforming science learning contexts into cosmopolitan learning communities that develop student success in science. Through a three-year ethnographic study of physics and chemistry classrooms in a high school in New York City, I present explorations of the culture and context of the urban classroom as a chief means to meet my goals. In my research, I find that obstacles to identity development around science can be tied to corporate understandings of teaching and learning that are amenable to local efforts toward change. This change is facilitated through the use of transformative tools like cogenerative dialogues, coteaching, and cosmopolitanism. Through the application of these research tools, I uncover and investigate how various misalignments that present themselves in physics and chemistry classrooms serve as signifiers of macro issues that permeate science classrooms from larger fields. By utilizing cogenerative dialogues as a tool for investigating both micro enactments within classrooms and the macro structures that generate these enactments, I show how students and teachers can work together as co-researchers and coteachers that engage in a dual process of questioning existent structures that do not support science success and transforming them.
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.…
Development of an Adaptive Learning System with Two Sources of Personalization Information
ERIC Educational Resources Information Center
Tseng, J. C. R.; Chu, H. C.; Hwang, G. J.; Tsai, C. C.
2008-01-01
Previous research of adaptive learning mainly focused on improving student learning achievements based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed by basing upon two main sources of personalization…
Abdulghani, Hamza M; Al-Drees, Abdulmajeed A; Khalil, Mahmood S; Ahmad, Farah; Ponnamperuma, Gominda G; Amin, Zubair
2014-04-01
Medical students' academic achievement is affected by many factors such as motivational beliefs and emotions. Although students with high intellectual capacity are selected to study medicine, their academic performance varies widely. The aim of this study is to explore the high achieving students' perceptions of factors contributing to academic achievement. Focus group discussions (FGD) were carried out with 10 male and 9 female high achieving (scores more than 85% in all tests) students, from the second, third, fourth and fifth academic years. During the FGDs, the students were encouraged to reflect on their learning strategies and activities. The discussion was audio-recorded, transcribed and analysed qualitatively. Factors influencing high academic achievement include: attendance to lectures, early revision, prioritization of learning needs, deep learning, learning in small groups, mind mapping, learning in skills lab, learning with patients, learning from mistakes, time management, and family support. Internal motivation and expected examination results are important drivers of high academic performance. Management of non-academic issues like sleep deprivation, homesickness, language barriers, and stress is also important for academic success. Addressing these factors, which might be unique for a given student community, in a systematic manner would be helpful to improve students' performance.
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.
Brankaer, Carmen; Ghesquière, Pol; De Smedt, Bert
2017-08-01
The ability to compare symbolic numerical magnitudes correlates with children's concurrent and future mathematics achievement. We developed and evaluated a quick timed paper-and-pencil measure that can easily be used, for example in large-scale research, in which children have to cross out the numerically larger of two Arabic one- and two-digit numbers (SYMP Test). We investigated performance on this test in 1,588 primary school children (Grades 1-6) and examined in each grade its associations with mathematics achievement. The SYMP Test had satisfactory test-retest reliability. The SYMP Test showed significant and stable correlations with mathematics achievement for both one-digit and two-digit comparison, across all grades. This replicates the previously observed association between symbolic numerical magnitude processing and mathematics achievement, but extends it by showing that the association is observed in all grades in primary education and occurs for single- as well as multi-digit processing. Children with mathematical learning difficulties performed significantly lower on one-digit comparison and two-digit comparison in all grades. This all suggests satisfactory construct and criterion-related validity of the SYMP Test, which can be used in research, when performing large-scale (intervention) studies, and by practitioners, as screening measure to identify children at risk for mathematical difficulties or dyscalculia.
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
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.
Crampton, Alexandria; Hall, James
2017-09-01
Uncertainty remains concerning how children's reading and academic self-concept are related and how these are differentially affected by social disadvantage and home learning environments. To contrast the impacts of early socio-economic risks and preschool home learning environments upon British children's reading abilities and academic self-concept between 7 and 10 years. n = 3,172 British children aged 3-10 years and their families. A secondary analysis of the nationally representative UK EPPE database. Multilevel structural equation modelling calculated the direct, indirect, and total impacts of early socio-economic risks (0-3 years) and preschool home learning environments (3-5 years) upon children's reading ability and academic self-concept between 7 and 10 years. Early socio-economic risk had different effects upon children's reading ability and academic self-concept. Early socio-economic risks affected children's reading at ages 7 and 10 both directly and indirectly via effects upon preschool home learning environments. By contrast, early socio-economic risks had only indirect effects upon children's academic self-concept via less stimulating home learning environments in the preschool period and by limiting reading abilities early on in primary school. Although the impacts of early socio-economic risks are larger and more easily observed upon reading than upon academic self-concept, they can impact both by making it less likely that children will experience enriching home learning environments during the preschool period. This has implications for social policymakers, early educators, and interventionists. Intervening early and improving preschool home learning environments can do more than raise children's reading abilities; secondary benefits may also be achievable upon children's self-concept. © 2017 The British Psychological Society.
NASA Astrophysics Data System (ADS)
Antinah; Kusmayadi, T. A.; Husodo, B.
2018-05-01
This study aims to determine the effect of learning model on student achievement in terms of interpersonal intelligence. The compared learning models are LC7E and Direct learning model. This type of research is a quasi-experimental with 2x3 factorial design. The population in this study is a Grade XI student of Wonogiri Vocational Schools. The sample selection had done by stratified cluster random sampling. Data collection technique used questionnaires, documentation and tests. The data analysis technique used two different unequal cell variance analysis which previously conducted prerequisite analysis for balance test, normality test and homogeneity test. he conclusions of this research are: 1) student learning achievement of mathematics given by LC7E learning model is better when compared with direct learning; 2) Mathematics learning achievement of students who have a high level of interpersonal intelligence is better than students with interpersonal intelligence in medium and low level. Students' mathematics learning achievement with interpersonal level of intelligence is better than those with low interpersonal intelligence on linear programming; 3) LC7E learning model resulted better on mathematics learning achievement compared with direct learning model for each category of students’ interpersonal intelligence level on linear program material.
NASA Astrophysics Data System (ADS)
Antinah; Kusmayadi, T. A.; Husodo, B.
2018-03-01
This study aimed to determine the effect of learning model on student achievement in terms of interpersonal intelligence. The compared learning models are LC7E and Direct learning model. This type of research is a quasi-experimental with 2x3 factorial design. The population in this study is a Grade XI student of Wonogiri Vocational Schools. The sample selection had done by stratified cluster random sampling. Data collection technique used questionnaires, documentation and tests. The data analysis technique used two different unequal cell variance analysis which previously conducted prerequisite analysis for balance test, normality test and homogeneity test. he conclusions of this research are: 1) student learning achievement of mathematics given by LC7E learning model is better when compared with direct learning; 2) Mathematics learning achievement of students who have a high level of interpersonal intelligence is better than students with interpersonal intelligence in medium and low level. Students’ mathematics learning achievement with interpersonal level of intelligence is better than those with low interpersonal intelligence on linear programming; 3) LC7E learning model resulted better on mathematics learning achievement compared with direct learning model for each category of students’ interpersonal intelligence level on linear program material.
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…
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…
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…
Revisiting the Blended Learning Literature: Using a Complex Adaptive Systems Framework
ERIC Educational Resources Information Center
Wang, Yuping; Han, Xibin; Yang, Juan
2015-01-01
This research has two aims: (1) to bridge a gap in blended learning research--the lack of a systems approach to the understanding of blended learning research and practice, and (2) to promote a more comprehensive understanding of what has been achieved and what needs to be achieved in blended learning research and practice. To achieve these aims,…
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…
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.
Atalay, Nart Bedin; Misirlisoy, Mine
2012-11-01
The item-specific proportion congruence (ISPC) manipulation (Jacoby, Lindsay, & Hessels, 2003) produces larger Stroop interference for mostly congruent items than mostly incongruent items. This effect has been attributed to dynamic control over word-reading processes. However, proportion congruence of an item in the ISPC manipulation is completely confounded with response contingency, suggesting the alternative hypothesis, that the ISPC effect is a result of learning response contingencies (Schmidt & Besner, 2008). The current study asks whether the ISPC effect can be explained by a pure stimulus-response contingency-learning account, or whether other control processes play a role as well, by comparing within- and between-language conditions in a bilingual task. Experiment 1 showed that contingency learning for noncolor words was larger for the within-language than the between-language condition. Experiment 2 revealed significant ISPC effects for both within- and between-language conditions; importantly, the effect was larger in the former. The results of the contingency analyses for Experiment 2 were parallel to that of Experiment 1 and did not show an interaction between contingency and congruency. Put together, these sets of results support the view that contingency-learning processes dominate color-word ISPC effects.
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…
Amador-Vargas, Sabrina; Gronenberg, Wulfila; Wcislo, William T; Mueller, Ulrich
2015-02-22
Group size in both multicellular organisms and animal societies can correlate with the degree of division of labour. For ants, the task specialization hypothesis (TSH) proposes that increased behavioural specialization enabled by larger group size corresponds to anatomical specialization of worker brains. Alternatively, the social brain hypothesis proposes that increased levels of social stimuli in larger colonies lead to enlarged brain regions in all workers, regardless of their task specialization. We tested these hypotheses in acacia ants (Pseudomyrmex spinicola), which exhibit behavioural but not morphological task specialization. In wild colonies, we marked, followed and tested ant workers involved in foraging tasks on the leaves (leaf-ants) and in defensive tasks on the host tree trunk (trunk-ants). Task specialization increased with colony size, especially in defensive tasks. The relationship between colony size and brain region volume was task-dependent, supporting the TSH. Specifically, as colony size increased, the relative size of regions within the mushroom bodies of the brain decreased in trunk-ants but increased in leaf-ants; those regions play important roles in learning and memory. Our findings suggest that workers specialized in defence may have reduced learning abilities relative to leaf-ants; these inferences remain to be tested. In societies with monomorphic workers, brain polymorphism enhanced by group size could be a mechanism by which division of labour is achieved. © 2015 The Author(s) Published by the Royal Society. All rights reserved.
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.
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…
Student’s social interaction in mathematics learning
NASA Astrophysics Data System (ADS)
Apriliyanto, B.; Saputro, D. R. S.; Riyadi
2018-03-01
Mathematics learning achievement is influenced by the internal and external factor of the students. One of the influencing external factors is social interaction with friends in learning activities. In modern learning, the learning is student-centered, so the student interaction is needed to learn about certain basic competence. Potential and motivation of students in learning are expected to develop with good social interaction in order to get maximum results. Social interaction is an important aspect of learning Mathematics because students get the opportunity to express their own thoughts in order to encourage a reflection on the knowledge they have. This research uses the correlational descriptive method involving 36 students for the tenth grade, eleventh grade, and twelfth grade of SMA Negeri 1 Wuryantoro and data collecting technique using questionnaire for social interaction and documentation for learning outcome. The result of this research shows that learning achievement and social interaction of students are not good. Based on the result of data analysis, it is shown that the social interaction and Mathematics learning achievement are still in the low level. This research concludes that students’ social interaction influences student learning achievement in Mathematics subjects.
Dunn, David W; Johnson, C S; Perkins, S M; Fastenau, P S; Byars, A W; deGrauw, T J; Austin, J K
2010-11-01
Children with long-standing epilepsy have a significantly increased risk of academic underachievement compared with healthy controls. We prospectively followed children from seizure onset to assess the relationship between change in neuropsychological functioning and change in academic achievement and to explore the risk and protective moderating effects of demographic, seizure, and family variables. As part of a larger study, neuropsychological and academic data were collected at both baseline and 36 months for 219 children 6-14 years of age with seizures. Prior factor analysis of results from a battery of well-standardized neuropsychological tests yielded four factors: language, processing speed, attention/executive/construction, and verbal memory/learning. Academic achievement was measured with the Woodcock-Johnson Revised Achievement Test Battery. Correlation coefficients and linear mixed models were used for analysis. The reading and math scores of children with seizures and siblings did not differ at baseline, but children with seizures had lower scores than siblings at 36 months. Writing scores were significantly lower for affected children than siblings at both times. Among children with seizures, there were positive correlations between neuropsychological functioning and academic achievement at baseline and 36 months. Changes in language and in verbal memory/learning were positively correlated with change in reading achievement (r = 0.25 and r = 0.17, respectively). Age at onset moderated the association between change in neuropsychological functioning and change in reading and writing achievement (P ≤ 0.006), with stronger relationships among younger children (β = 0.25-0.44). The association between change in language and change in writing achievement was moderated by caregiver anxiety (P = 0.04; stronger for more anxious parents, β = 0.40), and the association between change in processing speed and change in math achievement was moderated by etiology (P = 0.02; stronger for symptomatic/cryptogenic vs idiopathic, β = 0.29). Gender and other family variables did not have significant moderating effects. Changes in neuropsychological function were associated with changes in academic achievement following onset of seizures, with risk factors being younger age at onset, lower caregiver education, high parental anxiety, and symptomatic/cryptogenic etiology. Academic performance should be closely monitored in children with early-onset seizures. Copyright © 2010. Published by Elsevier Inc.
NASA Astrophysics Data System (ADS)
Titterington, Lynda C.
2007-12-01
This study presents a framework for examining the effects of higher order thinking on the achievement of allied health students enrolled in a pathophysiology course. A series of clinical case studies was developed and published in an enriched online environment that guided students through the process of developing a solution and supporting it through data analysis and interpretation. The series of case study modules scaffolded argumentation through question prompts. The modules began with a simple, direct problem and they became progressively more complex throughout the quarter. A control group was assigned a pencil-and-paper case study based upon recall. The case studies were scored for content accuracy and evidence of higher order thinking skills. Higher order thinking was measured using a rubric based upon the Toulmin argumentation pattern. The results indicated implementing a case study of either online or traditional format was associated with significant gains in achievement. The Web-enhanced case studies were associated with modest gains in knowledge acquisition. The argumentation scores across the series followed two trends: directed case studies were associated with higher levels of argumentation than ill-structured case studies, and there appeared to be an inverse relationship between the students' argumentation and content scores. The protocols developed for this study can serve as a template for a larger, extended investigation into student learning in the online environment.
Bypassing the Kohn-Sham equations with machine learning.
Brockherde, Felix; Vogt, Leslie; Li, Li; Tuckerman, Mark E; Burke, Kieron; Müller, Klaus-Robert
2017-10-11
Last year, at least 30,000 scientific papers used the Kohn-Sham scheme of density functional theory to solve electronic structure problems in a wide variety of scientific fields. Machine learning holds the promise of learning the energy functional via examples, bypassing the need to solve the Kohn-Sham equations. This should yield substantial savings in computer time, allowing larger systems and/or longer time-scales to be tackled, but attempts to machine-learn this functional have been limited by the need to find its derivative. The present work overcomes this difficulty by directly learning the density-potential and energy-density maps for test systems and various molecules. We perform the first molecular dynamics simulation with a machine-learned density functional on malonaldehyde and are able to capture the intramolecular proton transfer process. Learning density models now allows the construction of accurate density functionals for realistic molecular systems.Machine learning allows electronic structure calculations to access larger system sizes and, in dynamical simulations, longer time scales. Here, the authors perform such a simulation using a machine-learned density functional that avoids direct solution of the Kohn-Sham equations.
NASA Astrophysics Data System (ADS)
Nurlaela, L.; Samani, M.; Asto, I. G. P.; Wibawa, S. C.
2018-01-01
This study aims at gaining empirical findings of the effectiveness of thematic instructional model as compared to conventional instruction; and the potential capacity of thematic instructional model in accommodating different learning styles and reading abilities. This is an experimental research design with 140 elementary students as research subject. The data were collected by using achievement test, learning style questionnaire, and reading comprehension test, and analyzed by using Anava. The results indicate: there is a significant difference in achievement between students who use thematic instructional model and those using conventional model; a significant difference in achievement between students with visual learning style and those having auditorial learning style; a significant difference between students with high reading ability and those with low reading ability. Student’s achievement is influenced by the interaction between instructional model and student’s learning style. Student’s achievement is not influenced by the interaction between instructional model and student’s reading ability, the interaction between student’s learning style and student’s reading ability, and the interaction among instructional model, learning style and student’s reading ability. The conclusion is thematic instructional model was more effective than conventional instruction and thematic instructional model had a capacity in accommodating different learning styles and reading abilities.
Group investigation with scientific approach in mathematics learning
NASA Astrophysics Data System (ADS)
Indarti, D.; Mardiyana; Pramudya, I.
2018-03-01
The aim of this research is to find out the effect of learning model toward mathematics achievement. This research is quasi-experimental research. The population of research is all VII grade students of Karanganyar regency in the academic year of 2016/2017. The sample of this research was taken using stratified cluster random sampling technique. Data collection was done based on mathematics achievement test. The data analysis technique used one-way ANOVA following the normality test with liliefors method and homogeneity test with Bartlett method. The results of this research is the mathematics learning using Group Investigation learning model with scientific approach produces the better mathematics learning achievement than learning with conventional model on material of quadrilateral. Group Investigation learning model with scientific approach can be used by the teachers in mathematics learning, especially in the material of quadrilateral, which is can improve the mathematics achievement.
Leveraging MSLQ Data for Predicting Student Achievement Goal Orientations
ERIC Educational Resources Information Center
Ali, Liaqat; Hatala, Marek; Winne, Phil; Gaševic, Dragan
2014-01-01
This study aims to investigate how the learning strategies and achievement goal orientations of students relate to their academic behaviours and performance in the context of an online learning system. The study also develops and validates a relational model between student learning strategies and achievement goals.
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…
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…
Learning for Today: The Interaction between Pedagogy, Learning Spaces and Technology
ERIC Educational Resources Information Center
Selinger, Michelle
2011-01-01
A new pedagogy is emerging, placing students at the centre of the learning process and encouraging teachers to draw from a larger repertoire of strategies and skills to lead interdisciplinary and project-based work. The best learning is authentic--engaging students in their own learning in practical and real-life contexts that demonstrate the…
Student’s STEM Literacy in Biotechnology Learning at Junior High School
NASA Astrophysics Data System (ADS)
Nurlaely, N.; Permanasari, A.; Riandi, R.
2017-09-01
A considerable study to student’s STEM literacy achievement profile, especially in biotechnology learning, has been conducted to make the innovation of the STEM-based learning. The study aims to find out the STEM literacy. The sample is taken through purposive sampling technique to 45 students of 9th grade of a junior high school in Tasikmalaya district. The instruments are multiple choice questions. Data are analysed by calculating mean score of students’ STEM literacy achievement. The results show that student’s STEM literacy achievement was low. Science literacy aspect was the lowest, while mathematical literacy gained better than another aspect. The low achievement of students’ STEM literacy was because of learning activities that have not been able to integrate science, technology, engineering, and mathematics in science learning. The literacy profile indicates the importance of applying STEM approach to science learning, and it is recommended to improve students’ STEM literacy achievement.
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering.
Peng, Xi; Yu, Zhiding; Yi, Zhang; Tang, Huajin
2017-04-01
Under the framework of graph-based learning, the key to robust subspace clustering and subspace learning is to obtain a good similarity graph that eliminates the effects of errors and retains only connections between the data points from the same subspace (i.e., intrasubspace data points). Recent works achieve good performance by modeling errors into their objective functions to remove the errors from the inputs. However, these approaches face the limitations that the structure of errors should be known prior and a complex convex problem must be solved. In this paper, we present a novel method to eliminate the effects of the errors from the projection space (representation) rather than from the input space. We first prove that l 1 -, l 2 -, l ∞ -, and nuclear-norm-based linear projection spaces share the property of intrasubspace projection dominance, i.e., the coefficients over intrasubspace data points are larger than those over intersubspace data points. Based on this property, we introduce a method to construct a sparse similarity graph, called L2-graph. The subspace clustering and subspace learning algorithms are developed upon L2-graph. We conduct comprehensive experiment on subspace learning, image clustering, and motion segmentation and consider several quantitative benchmarks classification/clustering accuracy, normalized mutual information, and running time. Results show that L2-graph outperforms many state-of-the-art methods in our experiments, including L1-graph, low rank representation (LRR), and latent LRR, least square regression, sparse subspace clustering, and locally linear representation.
Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning.
Zu, Chen; Gao, Yue; Munsell, Brent; Kim, Minjeong; Peng, Ziwen; Cohen, Jessica R; Zhang, Daoqiang; Wu, Guorong
2018-06-14
The functional brain network has gained increased attention in the neuroscience community because of its ability to reveal the underlying architecture of human brain. In general, majority work of functional network connectivity is built based on the correlations between discrete-time-series signals that link only two different brain regions. However, these simple region-to-region connectivity models do not capture complex connectivity patterns between three or more brain regions that form a connectivity subnetwork, or subnetwork for short. To overcome this current limitation, a hypergraph learning-based method is proposed to identify subnetwork differences between two different cohorts. To achieve our goal, a hypergraph is constructed, where each vertex represents a subject and also a hyperedge encodes a subnetwork with similar functional connectivity patterns between different subjects. Unlike previous learning-based methods, our approach is designed to jointly optimize the weights for all hyperedges such that the learned representation is in consensus with the distribution of phenotype data, i.e. clinical labels. In order to suppress the spurious subnetwork biomarkers, we further enforce a sparsity constraint on the hyperedge weights, where a larger hyperedge weight indicates the subnetwork with the capability of identifying the disorder condition. We apply our hypergraph learning-based method to identify subnetwork biomarkers in Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD). A comprehensive quantitative and qualitative analysis is performed, and the results show that our approach can correctly classify ASD and ADHD subjects from normal controls with 87.65 and 65.08% accuracies, respectively.
Learner-centred mathematics and statistics education using netbook tablet PCs
NASA Astrophysics Data System (ADS)
Loch, Birgit; Galligan, Linda; Hobohm, Carola; McDonald, Christine
2011-10-01
Tablet technology has been shown to support learner-centred mathematics education when this technology is available to both the lecturer and the students. However, cost is often the barrier to students' use of tablet PCs for their university studies. This article argues that more affordable netbook PCs with tablet capabilities can be viable alternatives to full-sized tablet PCs to enhance active and collaborative learning in mathematics and statistics. For a whole teaching semester, netbook tablet PCs were given to volunteer students from two different cohorts. Students were enrolled in nursing mathematics or introductory statistics in non-mathematics majors at an Australian university. The aims were to gauge the suitability of this technology and to identify what active and collaborative learning emerged in these first-year classes. While the netbook tablet PCs were actively promoted in their tutorials, of additional interest was students' use of the technology for any aspect of their studies both inside and outside the classroom. The outcome of this study was to inform a university decision to provide inexpensive tablet technology to larger cohorts of students. The results highlight different approaches required in the mathematics and statistics classes to achieve collaborative and active learning facilitated through the technology. Environmental variables such as the tutor, student, learning space, availability of other technologies and subject content had an impact on the nature of learning. While learner-centred education can be facilitated by inexpensive netbook tablet PCs, we caution that the savings may come at the expense of computing power.
Think Pair Share Using Realistic Mathematics Education Approach in Geometry Learning
NASA Astrophysics Data System (ADS)
Afthina, H.; Mardiyana; Pramudya, I.
2017-09-01
This research aims to determine the impact of mathematics learning applying Think Pair Share (TPS) using Realistic Mathematics Education (RME) viewed from mathematical-logical intelligence in geometry learning. Method that used in this research is quasi experimental research The result of this research shows that (1) mathematics achievement applying TPS using RME approach gives a better result than those applying direct learning model; (2) students with high mathematical-logical intelligence can reach a better mathematics achievement than those with average and low one, whereas students with average mathematical-logical intelligence can reach a better achievement than those with low one; (3) there is no interaction between learning model and the level of students’ mathematical-logical intelligence in giving a mathematics achievement. The impact of this research is that TPS model using RME approach can be applied in mathematics learning so that students can learn more actively and understand the material more, and mathematics learning become more meaningful. On the other hand, internal factors of students must become a consideration toward the success of students’ mathematical achievement particularly in geometry material.
Flipping Radiology Education Right Side Up.
O'Connor, Erin E; Fried, Jessica; McNulty, Nancy; Shah, Pallav; Hogg, Jeffery P; Lewis, Petra; Zeffiro, Thomas; Agarwal, Vikas; Reddy, Sravanthi
2016-07-01
In flipped learning, medical students independently learn facts and concepts outside the classroom, and then participate in interactive classes to learn to apply these facts. Although there are recent calls for medical education reform using flipped learning, little has been published on its effectiveness. Our study compares the effects of flipped learning to traditional didactic instruction on students' academic achievement, task value, and achievement emotions. At three institutions, we alternated flipped learning with traditional didactic lectures during radiology clerkships, with 175 medical students completing a pretest on general diagnostic imaging knowledge to assess baseline cohort comparability. Following instruction, posttests and survey examinations of task value and achievement emotions were administered. Linear mixed effects analysis was used to examine the relationship between test scores and instruction type. Survey responses were modeled using ordinal category logistic regression. Instructor surveys were also collected. There were no baseline differences in test scores. Mean posttest minus pretest scores were 10.5% higher in the flipped learning group than in the didactic instruction group (P = 0.013). Assessment of task value and achievement emotions showed greater task value, increased enjoyment, and decreased boredom with flipped learning (all P < 0.01). All instructors preferred the flipped learning condition. Flipped learning was associated with increased academic achievement, greater task value, and more positive achievement emotions when compared to traditional didactic instruction. Further investigation of flipped learning methods in radiology education is needed to determine whether flipped learning improves long-term retention of knowledge, academic success, and patient care. Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
Aune, Tore K.; Aune, Morten A.; Ingvaldsen, Rolf P.; Vereijken, Beatrix
2017-01-01
The current experiment investigated generalizability of motor learning in proximal versus distal effectors in upper extremities. Twenty-eight participants were divided into three groups: training proximal effectors, training distal effectors, and no training control group (CG). Performance was tested pre- and post-training for specific learning and three learning transfer conditions: (1) bilateral learning transfer between homologous effectors, (2) lateral learning transfer between non-homologous effectors, and (3) bilateral learning transfer between non-homologous effectors. With respect to specific learning, both training groups showed significant, similar improvement for the trained proximal and distal effectors, respectively. In addition, there was significant learning transfer to all three transfer conditions, except for bilateral learning transfer between non-homologous effectors for the distal training group. Interestingly, the proximal training group showed significantly larger learning transfer to other effectors compared to the distal training group. The CG did not show significant improvements from pre- to post-test. These results show that learning is partly effector independent and generalizable to different effectors, even though transfer is suboptimal compared to specific learning. Furthermore, there is a proximal-distal gradient in generalizability, in that learning transfer from trained proximal effectors is larger than from trained distal effectors, which is consistent with neuroanatomical differences in activation of proximal and distal muscles. PMID:28943857
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…
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…
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…
Learned Helplessness in High School Students Following Experience of Noncontingent Rewards.
ERIC Educational Resources Information Center
Buys, Nicholas J.; Winefield, Anthony H.
1982-01-01
Compared high-school students differing in achievement motivation in a learned helplessness experiment. A strong helplessness effect was observed in both high- and low-achievement motivation groups. Results show a strong learned helplessness effect unrelated to individual differences in achievement motivation and refute claims that helplessness…
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…
The Construction of an Ontology-Based Ubiquitous Learning Grid
ERIC Educational Resources Information Center
Liao, Ching-Jung; Chou, Chien-Chih; Yang, Jin-Tan David
2009-01-01
The purpose of this study is to incorporate adaptive ontology into ubiquitous learning grid to achieve seamless learning environment. Ubiquitous learning grid uses ubiquitous computing environment to infer and determine the most adaptive learning contents and procedures in anytime, any place and with any device. To achieve the goal, an…
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…
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…
Machine learning derived risk prediction of anorexia nervosa.
Guo, Yiran; Wei, Zhi; Keating, Brendan J; Hakonarson, Hakon
2016-01-20
Anorexia nervosa (AN) is a complex psychiatric disease with a moderate to strong genetic contribution. In addition to conventional genome wide association (GWA) studies, researchers have been using machine learning methods in conjunction with genomic data to predict risk of diseases in which genetics play an important role. In this study, we collected whole genome genotyping data on 3940 AN cases and 9266 controls from the Genetic Consortium for Anorexia Nervosa (GCAN), the Wellcome Trust Case Control Consortium 3 (WTCCC3), Price Foundation Collaborative Group and the Children's Hospital of Philadelphia (CHOP), and applied machine learning methods for predicting AN disease risk. The prediction performance is measured by area under the receiver operating characteristic curve (AUC), indicating how well the model distinguishes cases from unaffected control subjects. Logistic regression model with the lasso penalty technique generated an AUC of 0.693, while Support Vector Machines and Gradient Boosted Trees reached AUC's of 0.691 and 0.623, respectively. Using different sample sizes, our results suggest that larger datasets are required to optimize the machine learning models and achieve higher AUC values. To our knowledge, this is the first attempt to assess AN risk based on genome wide genotype level data. Future integration of genomic, environmental and family-based information is likely to improve the AN risk evaluation process, eventually benefitting AN patients and families in the clinical setting.
Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis.
Parsa, Maryam; Panda, Priyadarshini; Sen, Shreyas; Roy, Kaushik
2017-07-01
Recent progress in biosensor technology and wearable devices has created a formidable opportunity for remote healthcare monitoring systems as well as real-time diagnosis and disease prevention. The use of data mining techniques is indispensable for analysis of the large pool of data generated by the wearable devices. Deep learning is among the promising methods for analyzing such data for healthcare applications and disease diagnosis. However, the conventional deep neural networks are computationally intensive and it is impractical to use them in real-time diagnosis with low-powered on-body devices. We propose Staged Inference using Conditional Deep Learning (SICDL), as an energy efficient approach for creating healthcare monitoring systems. For smart diagnostics, we observe that all diagnoses are not equally challenging. The proposed approach thus decomposes the diagnoses into preliminary analysis (such as healthy vs unhealthy) and detailed analysis (such as identifying the specific type of cardio disease). The preliminary diagnosis is conducted real-time with a low complexity neural network realized on the resource-constrained on-body device. The detailed diagnosis requires a larger network that is implemented remotely in cloud and is conditionally activated only for detailed diagnosis (unhealthy individuals). We evaluated the proposed approach using available physiological sensor data from Physionet databases, and achieved 38% energy reduction in comparison to the conventional deep learning approach.
Spinello, Elio F; Fischbach, Ronald
2008-01-01
This study investigated the use of a Web-based community health simulation as a problem-based learning (PBL) experience for undergraduate students majoring in public health. The study sought to determine whether students who participated in the online simulation achieved differences in academic and attitudinal outcomes compared with students who participated in a traditional PBL exercise. Using a nonexperimental comparative design, 21 undergraduate students enrolled in a health-behavior course were each randomly assigned to one of four workgroups. Each workgroup was randomly assigned the semester-long simulation project or the traditional PBL exercise. Survey instruments were used to measure students' attitudes toward the course, their perceptions of the learning community, and perceptions of their own cognitive learning. Content analysis of final essay exams and group reports was used to identify differences in academic outcomes and students' level of conceptual understanding of health-behavior theory. Findings indicated that students participating in the simulation produced higher mean final exam scores compared with students participating in the traditional PBL (p=0.03). Students in the simulation group also outperformed students in the traditional group with respect to their understanding of health-behavior theory (p=0.04). Students in the simulation group, however, rated their own level of cognitive learning lower than did students in the traditional group (p=0.03). By bridging time and distance constraints of the traditional classroom setting, an online simulation may be an effective PBL approach for public health students. Recommendations include further research using a larger sample to explore students' perceptions of learning when participating in simulated real-world activities. Additional research focusing on possible differences between actual and perceived learning relative to PBL methods and student workgroup dynamics is also recommended.
Connecting Formal and Informal Learning Experiences
ERIC Educational Resources Information Center
O'Mahony, Timothy Kieran
2010-01-01
The learning study reports on part of a larger project being lead by the author. In this dissertation I explore one goal of this project--to understand effects on student learning outcomes as a function of using different methods for connecting out-of-school experiential learning with formal school-based instruction. There is a long history of…
Learning to Reflect and to Attribute Constructively as Basic Components of Self-Regulated Learning
ERIC Educational Resources Information Center
Masui, Chris; De Corte, Erik
2005-01-01
Background: Higher education is facing a number of problems: adjusting to larger and more heterogeneous student populations, increasing the number of graduating students, and preparing for lifelong learning. Improving learning competence can make a substantial contribution to solving each of these major concerns. The growing knowledge base on…
Cost-Saving Collaboration: Purchasing and Deploying a Statewide Learning Management System
ERIC Educational Resources Information Center
Klonoski, Ed
2005-01-01
Higher education is working to integrate next-generation education technology into its learning activities and is struggling to find cost-effective approaches. The learning management systems (LMSs) that evolved to provide support for distance education efforts have been adopted for use by the larger learning community, but the expense of…
Teaching and Learning Hand in Hand: Adaptive Teaching and Self-Regulated Learning
ERIC Educational Resources Information Center
Randi, Judi
2017-01-01
This article presents case studies of two novice teachers and their mentors who, without formal knowledge of self-regulation theory, established a classroom environment that promoted self-regulated learning. This case was drawn from a larger descriptive study of novice teachers learning to integrate a student-centered visual literacy instructional…
The Individual|Collective Dialectic in the Learning Organization
ERIC Educational Resources Information Center
Lee, Yew-Jin; Roth, Wolff-Michael
2007-01-01
Purpose: The purpose of this paper is to answer two interrelated questions: "Who learns and how in the learning organization?". By implication, many theories of the learning organization are addressed that are based on a static and erroneous separation of individual and collective. Design/methodology/approach: Four episodes from a larger case…
Cooperative Learning and Middle Schools: What Would It Take to Really Do It Right?
ERIC Educational Resources Information Center
Sapon-Shevin, Mara
1994-01-01
The article identifies some of the problems with current cooperative-learning strategies and implementation, links those limitations to both the wider cooperative-learning movement and the nature of middle schools, and calls for conceptualizing and structuring cooperative learning within a much larger educational, social, economic, and political…
ERIC Educational Resources Information Center
Adams, Jean
2010-01-01
The purpose of this paper is to present the Soft-skills Learning Triangle (SLT)--a model created to help coaches, mentors, and educators understand how web-technologies can be used to support management learning and soft-skills development. SLT emerged as part of a larger action-learning research project--the NewMindsets Management Education…
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…
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…
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…
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…
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…
New York: Expanding Time, Increasing Opportunities for Achievement
ERIC Educational Resources Information Center
Miller, Tiffany D.
2014-01-01
New York is poised to take an important step to improve student achievement by expanding learning time for students attending high-poverty, low-performing schools. Recent district- and state-level investments in expanded learning time--a promising strategy to close achievement and opportunity gaps--will give students more time to learn core…
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…
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…
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…
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…
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…
ERIC Educational Resources Information Center
Prayekti
2016-01-01
"Problem-based learning" (PBL) is one of an innovative learning model which can provide an active learning to student, include the motivation to achieve showed by student when the learning is in progress. This research is aimed to know: (1) differences of physic learning result for student group which taught by PBL versus expository…
Comparison of learning models based on mathematics logical intelligence in affective domain
NASA Astrophysics Data System (ADS)
Widayanto, Arif; Pratiwi, Hasih; Mardiyana
2018-04-01
The purpose of this study was to examine the presence or absence of different effects of multiple treatments (used learning models and logical-mathematical intelligence) on the dependent variable (affective domain of mathematics). This research was quasi experimental using 3x3 of factorial design. The population of this research was VIII grade students of junior high school in Karanganyar under the academic year 2017/2018. Data collected in this research was analyzed by two ways analysis of variance with unequal cells using 5% of significance level. The result of the research were as follows: (1) Teaching and learning with model TS lead to better achievement in affective domain than QSH, teaching and learning with model QSH lead to better achievement in affective domain than using DI; (2) Students with high mathematics logical intelligence have better achievement in affective domain than students with low mathematics logical intelligence have; (3) In teaching and learning mathematics using learning model TS, students with moderate mathematics logical intelligence have better achievement in affective domain than using DI; and (4) In teaching and learning mathematics using learning model TS, students with low mathematics logical intelligence have better achievement in affective domain than using QSH and DI.
NASA Astrophysics Data System (ADS)
Kartikasari, A.; Widjajanti, D. B.
2017-02-01
The aim of this study is to explore the effectiveness of learning approach using problem-based learning based on multiple intelligences in developing student’s achievement, mathematical connection ability, and self-esteem. This study is experimental research with research sample was 30 of Grade X students of MIA III MAN Yogyakarta III. Learning materials that were implemented consisting of trigonometry and geometry. For the purpose of this study, researchers designed an achievement test made up of 44 multiple choice questions with respectively 24 questions on the concept of trigonometry and 20 questions for geometry. The researcher also designed a connection mathematical test and self-esteem questionnaire that consisted of 7 essay questions on mathematical connection test and 30 items of self-esteem questionnaire. The learning approach said that to be effective if the proportion of students who achieved KKM on achievement test, the proportion of students who achieved a minimum score of high category on the results of both mathematical connection test and self-esteem questionnaire were greater than or equal to 70%. Based on the hypothesis testing at the significance level of 5%, it can be concluded that the learning approach using problem-based learning based on multiple intelligences was effective in terms of student’s achievement, mathematical connection ability, and self-esteem.
Brain composition and olfactory learning in honey bees
Gronenberg, Wulfila; Couvillon, Margaret J.
2015-01-01
Correlations between brain or brain component size and behavioral measures are frequently studied by comparing different animal species, which sometimes introduces variables that complicate interpretation in terms of brain function. Here, we have analyzed the brain composition of honey bees (Apis mellifera) that have been individually tested in an olfactory learning paradigm. We found that the total brain size correlated with the bees’ learning performance. Among different brain components, only the mushroom body, a structure known to be involved in learning and memory, showed a positive correlation with learning performance. In contrast, visual neuropils were relatively smaller in bees that performed better in the olfactory learning task, suggesting modality-specific behavioral specialization of individual bees. This idea is also supported by inter-individual differences in brain composition. Some slight yet statistically significant differences in the brain composition of European and Africanized honey bees are reported. Larger bees had larger brains, and by comparing brains of different sizes, we report isometric correlations for all brain components except for a small structure, the central body. PMID:20060918
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…
ERIC Educational Resources Information Center
Chang, Jui-Hung; Chiu, Po-Sheng; Huang, Yueh-Min
2018-01-01
With the advances in mobile network technology, the use of portable devices and mobile networks for learning is not limited by time and space. Such use, in combination with appropriate learning strategies, can achieve a better effect. Despite the effectiveness of mobile learning, students' learning direction, progress, and achievement may differ.…
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…
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…
High Self-Esteem as a Coping Strategy for Students with Learning Disabilities
ERIC Educational Resources Information Center
Kumar, S. Praveen; Raja, B. William Dharma
2009-01-01
Children with learning disabilities are found in most schools. Learning disability is a widespread issue in today's society. A learning-disabled child is one whose achievement is less than his expected level of achievement despite having average or above average intelligence. Learning disability is nothing but a condition that affects the ability…
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…
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…
ERIC Educational Resources Information Center
Gambrari, Isiaka Amosa; Yusuf, Mudasiru Olalere; Thomas, David Akpa
2015-01-01
This study examined the effectiveness of computer-assisted instruction on Student Team Achievement Division (STAD) and Learning Together Model (LTM) cooperative learning strategies on Nigerian secondary students' achievement and motivation in physics. The efficacy of Authors developed computer assisted instructional package (CAI) for teaching…
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…
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…
ERIC Educational Resources Information Center
Lay, Yoon Fah; Chandrasegaran, A. L.
2016-01-01
TIMSS routinely presents very powerful evidence showing that students with more positive motivation toward learning science have substantially higher achievement. The results from TIMSS 2011 are consistent with previous assessments. This study explored the predictive effects of motivation toward learning science on science achievement among…
ERIC Educational Resources Information Center
Dull, Richard B.; Schleifer, Lydia L. F.; McMillan, Jeffrey J.
2015-01-01
Students' goal orientations are examined using two major frameworks for learning: achievement goal theory (AGT) and students' approaches to learning (SAL). Previous student success research is extended, by examining goal constructs from the AGT framework to determine if they help explain the learning process in accounting. Data were gathered using…
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.)…
ERIC Educational Resources Information Center
Gambari, Amosa Isiaka; Yusuf, Mudasiru Olalere; Thomas, David Akpa
2015-01-01
This study examined the effectiveness of computer-assisted instruction on Student Team Achievement Division (STAD) and Learning Together (LT) cooperative learning strategies on Nigerian secondary students' achievement and motivation in physics. The effectiveness of computer assisted instructional package (CAI) for teaching physics concepts in…
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…
ERIC Educational Resources Information Center
Tolar, Tammy D.; Fuchs, Lynn; Fletcher, Jack M.; Fuchs, Douglas; Hamlett, Carol L.
2016-01-01
Three cohorts of third-grade students (N = 813) were evaluated on achievement, cognitive abilities, and behavioral attention according to contrasting research traditions in defining math learning disability (LD) status: low achievement versus extremely low achievement and IQ-achievement discrepant versus strictly low-achieving LD. We use methods…
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…
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.
ERIC Educational Resources Information Center
Tsang, Edmund, Ed.
This volume, the 14th in a series of monographs on service learning and academic disciplinary areas, is designed as a practical guide for faculty seeking to integrate service learning into an engineering course. The volume also deals with larger issues in engineering education and provides case studies of service-learning courses. The articles…
Experienced Teachers' Informal Learning in the Workplace. IVLOS Series
ERIC Educational Resources Information Center
Hoekstra, Annemarieke
2007-01-01
The aim of the research reported in this dissertation is to describe how experienced secondary school teachers learn at work in an informal environment. The study is part of a larger research project aimed at providing a conceptual framework of teacher learning in the workplace as it takes place both in informal and formal learning environments.…
Can Apple's iPhone Help to Improve English Pronunciation Autonomously? State of the App
ERIC Educational Resources Information Center
González, Jonás Fouz
2012-01-01
This paper is part of a larger project that examines some of the best-selling iPhone apps designed to learn English pronunciation. Informed by the literature on pronunciation teaching/acquisition, Computer Assisted Pronunciation Teaching (CAPT), Computer Assisted Language Learning (CALL) and Mobile-learning (M-learning), it provides a critical…
Information and Digital Literacies in a Kindergarten Classroom: An I-LEARN Case Study
ERIC Educational Resources Information Center
Tecce DeCarlo, Mary Jean; Grant, Allen; Lee, Vera J.; Neuman, Delia
2018-01-01
This case study, part of a larger qualitative research project, involved 24 kindergarteners and their teacher in the design, development, and evaluation of a research project built around the I-LEARN model (Neuman, "Learning in information-rich environments: I-LEARN and the construction of knowledge in the 21st Century." Springer, New…
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wang, Felix; Quach, Tu-Thach; Wheeler, Jason
File fragment classification is an important step in the task of file carving in digital forensics. In file carving, files must be reconstructed based on their content as a result of their fragmented storage on disk or in memory. Existing methods for classification of file fragments typically use hand-engineered features such as byte histograms or entropy measures. In this paper, we propose an approach using sparse coding that enables automated feature extraction. Sparse coding, or sparse dictionary learning, is an unsupervised learning algorithm, and is capable of extracting features based simply on how well those features can be used tomore » reconstruct the original data. With respect to file fragments, we learn sparse dictionaries for n-grams, continuous sequences of bytes, of different sizes. These dictionaries may then be used to estimate n-gram frequencies for a given file fragment, but for significantly larger n-gram sizes than are typically found in existing methods which suffer from combinatorial explosion. To demonstrate the capability of our sparse coding approach, we used the resulting features to train standard classifiers such as support vector machines (SVMs) over multiple file types. Experimentally, we achieved significantly better classification results with respect to existing methods, especially when the features were used in supplement to existing hand-engineered features.« less
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification
Wang, Felix; Quach, Tu-Thach; Wheeler, Jason; ...
2018-04-05
File fragment classification is an important step in the task of file carving in digital forensics. In file carving, files must be reconstructed based on their content as a result of their fragmented storage on disk or in memory. Existing methods for classification of file fragments typically use hand-engineered features such as byte histograms or entropy measures. In this paper, we propose an approach using sparse coding that enables automated feature extraction. Sparse coding, or sparse dictionary learning, is an unsupervised learning algorithm, and is capable of extracting features based simply on how well those features can be used tomore » reconstruct the original data. With respect to file fragments, we learn sparse dictionaries for n-grams, continuous sequences of bytes, of different sizes. These dictionaries may then be used to estimate n-gram frequencies for a given file fragment, but for significantly larger n-gram sizes than are typically found in existing methods which suffer from combinatorial explosion. To demonstrate the capability of our sparse coding approach, we used the resulting features to train standard classifiers such as support vector machines (SVMs) over multiple file types. Experimentally, we achieved significantly better classification results with respect to existing methods, especially when the features were used in supplement to existing hand-engineered features.« less
Explosion Monitoring with Machine Learning: A LSTM Approach to Seismic Event Discrimination
NASA Astrophysics Data System (ADS)
Magana-Zook, S. A.; Ruppert, S. D.
2017-12-01
The streams of seismic data that analysts look at to discriminate natural from man- made events will soon grow from gigabytes of data per day to exponentially larger rates. This is an interesting problem as the requirement for real-time answers to questions of non-proliferation will remain the same, and the analyst pool cannot grow as fast as the data volume and velocity will. Machine learning is a tool that can solve the problem of seismic explosion monitoring at scale. Using machine learning, and Long Short-term Memory (LSTM) models in particular, analysts can become more efficient by focusing their attention on signals of interest. From a global dataset of earthquake and explosion events, a model was trained to recognize the different classes of events, given their spectrograms. Optimal recurrent node count and training iterations were found, and cross validation was performed to evaluate model performance. A 10-fold mean accuracy of 96.92% was achieved on a balanced dataset of 30,002 instances. Given that the model is 446.52 MB it can be used to simultaneously characterize all incoming signals by researchers looking at events in isolation on desktop machines, as well as at scale on all of the nodes of a real-time streaming platform. LLNL-ABS-735911
Waber, Deborah P; Boiselle, Ellen C; Forbes, Peter W; Girard, Jonathan M; Sideridis, Georgios D
2018-05-01
Learning problems (LP) can have wider implications than the academic deficits per se. The goal of the present series of studies was to develop a reliable and valid quality-of-life measure targeted to children and adolescents with LP. In Study 1, using a 35-item questionnaire, we surveyed 151 parents/guardians of children referred for assessment of learning disorders. Exploratory factor analysis identified a three-factor model: Academic Performance, School Understanding, and Child/Family Psychological. These factors were validated against standardized measures of academic achievement and psychosocial functioning. The questionnaire was then reduced to 15 items-the LD/QOL15 -and administered to a community sample of 325 parents/guardians of children in Grades 1 to 8 (Study 2). The three-factor model was verified with confirmatory factor analysis. Comparison of general education ( n = 232) and LP ( n = 93) groups within the community sample documented substantial group differences ( p < .0001), with the LP group having higher mean scores. These differences were larger for older students (Grades 5-8) than younger students (Grades 1-4; p < .01). The LD/QOL15 is a brief and reliable measure that is valid to assess quality of life and, potentially, outcomes in children and adolescents with LP.
NASA Astrophysics Data System (ADS)
Wallace, Colin; Prather, Edward; Duncan, Douglas
2011-10-01
We recently completed a large-scale, systematic study of general education introductory astronomy students' conceptual and reasoning difficulties related to cosmology. As part of this study, we analyzed a total of 4359 surveys (pre- and post-instruction) containing students' responses to questions about the Big Bang, the evolution and expansion of the universe, using Hubble plots to reason about the age and expansion rate of the universe, and using galaxy rotation curves to infer the presence of dark matter. We also designed, piloted, and validated a new suite of five cosmology Lecture-Tutorials. We found that students who use the new Lecture-Tutorials can achieve larger learning gains than their peers who did not. This material is based in part upon work supported by the National Science Foundation under Grant Nos. 0833364 and 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
NASA Astrophysics Data System (ADS)
Wallace, Colin Scott; Prather, E. E.; Duncan, D. K.; Collaboration of Astronomy Teaching Scholars CATS
2012-01-01
We recently completed a large-scale, systematic study of general education introductory astronomy students’ conceptual and reasoning difficulties related to cosmology. As part of this study, we analyzed a total of 4359 surveys (pre- and post-instruction) containing students’ responses to questions about the Big Bang, the evolution and expansion of the universe, using Hubble plots to reason about the age and expansion rate of the universe, and using galaxy rotation curves to infer the presence of dark matter. We also designed, piloted, and validated a new suite of five cosmology Lecture-Tutorials. We found that students who use the new Lecture-Tutorials can achieve larger learning gains than their peers who did not. This material is based in part upon work supported by the National Science Foundation under Grant Nos. 0833364 and 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Overcoming Common Conceptual and Reasoning Difficulties in Cosmology: A Lecture-Tutorial Approach
NASA Astrophysics Data System (ADS)
Prather, Edward E.; Wallace, C. S.; Duncan, D.; Collaboration of Astronomy Teaching Scholars CATS
2011-01-01
For the past two years, we have conducted fundamental research into Astro 101 students' conceptual and reasoning difficulties in cosmology. To date, we have analyzed the responses of over 2000 students from institutions across the United States to questions on the Big Bang, the expansion and evolution of the Universe, and the evidence for dark matter. Our findings have informed the development of a new suite of cosmology Lecture-Tutorials designed to increase students’ understanding of these common cosmology topics. In this talk, we present our key findings with regard to Astro 101 students’ common learning difficulties with studying cosmology and provide evidence showing that the new Lecture-Tutorials help students achieve larger learning gains than lecture alone. This material is based upon work supported by the National Science Foundation under Grant No. 0833364 and Grant No. 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Formulating face verification with semidefinite programming.
Yan, Shuicheng; Liu, Jianzhuang; Tang, Xiaoou; Huang, Thomas S
2007-11-01
This paper presents a unified solution to three unsolved problems existing in face verification with subspace learning techniques: selection of verification threshold, automatic determination of subspace dimension, and deducing feature fusing weights. In contrast to previous algorithms which search for the projection matrix directly, our new algorithm investigates a similarity metric matrix (SMM). With a certain verification threshold, this matrix is learned by a semidefinite programming approach, along with the constraints of the kindred pairs with similarity larger than the threshold, and inhomogeneous pairs with similarity smaller than the threshold. Then, the subspace dimension and the feature fusing weights are simultaneously inferred from the singular value decomposition of the derived SMM. In addition, the weighted and tensor extensions are proposed to further improve the algorithmic effectiveness and efficiency, respectively. Essentially, the verification is conducted within an affine subspace in this new algorithm and is, hence, called the affine subspace for verification (ASV). Extensive experiments show that the ASV can achieve encouraging face verification accuracy in comparison to other subspace algorithms, even without the need to explore any parameters.
Towards a Causal Model of Learned Hopelessness for Hong Kong Adolescents.
ERIC Educational Resources Information Center
Au, Chung-Park; Watkins, David
1997-01-01
Interprets a survey of junior secondary students conducted to examine the role of learned hopelessness and academic self-esteem in academic achievement. Finds that learned hopelessness and academic self-esteem play separate mediating roles between prior academic failure and academic achievement; learned hopelessness and academic self-esteem have…
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.
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.…
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…
Reflections of health care professionals on e-learning resources for patient safety.
Walsh, Kieran
2018-01-01
There is a paucity of evidence on how health care professionals view e-learning as a means of education to achieve safer health care. To address this gap, the reflections of health care professionals who used the resources on BMJ Learning were captured and analyzed. Key themes emerged from the analysis. Health care professionals are keen to put their e-learning into action to achieve safer health care and to learn how to follow guidelines that will help them achieve safer health care. Learners wanted their learning to remain grounded in reality. Finally, many commented that it was difficult for their individual learning to have a real impact when the culture of the organization did not change.
NASA Astrophysics Data System (ADS)
Jones, Sheila Kay
2007-12-01
Low test scores in science and fewer career choices in science among African American high school students than their White counterparts has resulted in lower interest during high school and an underrepresentation of African Americans in science and engineering fields. Reasons for this underachievement are not known. This qualitative study used a grounded theory methodology to examine what influence parental involvement, ethnic identity, and early mentoring had on the academic achievement in science and career choice in science of African American urban high school 10th grade students. Using semi-structured open-ended questions in individual interviews and focus groups, twenty participants responded to questions about African American urban high school student achievement in science and their career choice in science. The median age of participants was 15 years; 85% had passed either high school biology or physical science. The findings of the study revealed influences and interactions of selected factors on African American urban high school achievement in science. Sensing potential emerged as the overarching theme with six subthemes; A Taste of Knowledge, Sounds I Hear, Aromatic Barriers, What Others See, The Touch of Others, and The Sixth Sense. These themes correlate to the natural senses of the human body. A disconnect between what science is, their own individual learning and success, and what their participation in science could mean for them and the future of the larger society. Insight into appropriate intervention strategies to improve African American urban high school achievement in science was gained.
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.
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.
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…
Effect of Blended Learning Environment on Transfer of Learning: An Experimental Study
ERIC Educational Resources Information Center
Demirer, V.; Sahin, I.
2013-01-01
The main purpose of the study is to investigate the effect of the blended learning and face-to-face learning on students' academic achievements and transfer of learning. The first aim of the study is to analyse the students' academic achievements to determine the change of theoretical knowledge in terms of the instructional method…
ERIC Educational Resources Information Center
Buff, Alex; Reusser, Kurt; Dinkelmann, Iris
2017-01-01
Positive and negative emotions are ubiquitous in everyday school life, and can foster or impair processes of learning and achievement. However, learning- and achievement-related emotions are not based solely on experiences from respective situations in the school context. Rather, experiences outside of school, e.g. learning at home, are also…
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…
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…
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…
ERIC Educational Resources Information Center
Ratniyom, Jadsada; Boonphadung, Suttipong; Unnanantn, Thassanant
2016-01-01
This study examined the effects of the introductory organic chemistry online homework on first year pre-service science teachers' learning achievements. The online homework was created using a web-based Google form in order to enhance the pre-service science teachers' learning achievements. The steps for constructing online homework were…
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…
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…
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…
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…
Sensory, Cognitive, and Sensorimotor Learning Effects in Recognition Memory for Music.
Mathias, Brian; Tillmann, Barbara; Palmer, Caroline
2016-08-01
Recent research suggests that perception and action are strongly interrelated and that motor experience may aid memory recognition. We investigated the role of motor experience in auditory memory recognition processes by musicians using behavioral, ERP, and neural source current density measures. Skilled pianists learned one set of novel melodies by producing them and another set by perception only. Pianists then completed an auditory memory recognition test during which the previously learned melodies were presented with or without an out-of-key pitch alteration while the EEG was recorded. Pianists indicated whether each melody was altered from or identical to one of the original melodies. Altered pitches elicited a larger N2 ERP component than original pitches, and pitches within previously produced melodies elicited a larger N2 than pitches in previously perceived melodies. Cortical motor planning regions were more strongly activated within the time frame of the N2 following altered pitches in previously produced melodies compared with previously perceived melodies, and larger N2 amplitudes were associated with greater detection accuracy following production learning than perception learning. Early sensory (N1) and later cognitive (P3a) components elicited by pitch alterations correlated with predictions of sensory echoic and schematic tonality models, respectively, but only for the perception learning condition, suggesting that production experience alters the extent to which performers rely on sensory and tonal recognition cues. These findings provide evidence for distinct time courses of sensory, schematic, and motoric influences within the same recognition task and suggest that learned auditory-motor associations influence responses to out-of-key pitches.
Gifford, Katherine A; Phillips, Jeffrey S; Samuels, Lauren R; Lane, Elizabeth M; Bell, Susan P; Liu, Dandan; Hohman, Timothy J; Romano, Raymond R; Fritzsche, Laura R; Lu, Zengqi; Jefferson, Angela L
2015-07-01
A symptom of mild cognitive impairment (MCI) and Alzheimer's disease (AD) is a flat learning profile. Learning slope calculation methods vary, and the optimal method for capturing neuroanatomical changes associated with MCI and early AD pathology is unclear. This study cross-sectionally compared four different learning slope measures from the Rey Auditory Verbal Learning Test (simple slope, regression-based slope, two-slope method, peak slope) to structural neuroimaging markers of early AD neurodegeneration (hippocampal volume, cortical thickness in parahippocampal gyrus, precuneus, and lateral prefrontal cortex) across the cognitive aging spectrum [normal control (NC); (n=198; age=76±5), MCI (n=370; age=75±7), and AD (n=171; age=76±7)] in ADNI. Within diagnostic group, general linear models related slope methods individually to neuroimaging variables, adjusting for age, sex, education, and APOE4 status. Among MCI, better learning performance on simple slope, regression-based slope, and late slope (Trial 2-5) from the two-slope method related to larger parahippocampal thickness (all p-values<.01) and hippocampal volume (p<.01). Better regression-based slope (p<.01) and late slope (p<.01) were related to larger ventrolateral prefrontal cortex in MCI. No significant associations emerged between any slope and neuroimaging variables for NC (p-values ≥.05) or AD (p-values ≥.02). Better learning performances related to larger medial temporal lobe (i.e., hippocampal volume, parahippocampal gyrus thickness) and ventrolateral prefrontal cortex in MCI only. Regression-based and late slope were most highly correlated with neuroimaging markers and explained more variance above and beyond other common memory indices, such as total learning. Simple slope may offer an acceptable alternative given its ease of calculation.
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…
Self-Guided Field Trips for Students of Environments
ERIC Educational Resources Information Center
Moore, G.; Kerr, Roger; Hadgraft, Roger
2011-01-01
In many learning institutions around the world, there is a trend towards larger classes, more flexible learning pathways and reduced teaching resources. Experiential learning is often used in the form of site visits or field trips for students studying engineering, natural resource management, geography and similar disciplines. Providing…
ERIC Educational Resources Information Center
Demski, Jennifer
2010-01-01
In May 2009, the US Department of Education released a meta-analysis of effectiveness studies of online, face-to-face, and blended learning models. The analysis found that online learning produced better student outcomes than face-to-face classes, and that blended learning offered an even "larger advantage" over face-to-face. The hybrid approach…
The NSF IUSE-EHR Program: What's New (and Old) About It, and Resources for Geoscience Proposers
NASA Astrophysics Data System (ADS)
Singer, J.; Ryan, J. G.
2015-12-01
The NSF Division of Undergraduate Education recently released a new solicitation for the IUSE program -- the latest iteration in a succession of funding programs dating back over 30 years (including the Instrumentation and Laboratory Improvement Program (ILI), the Course and Curriculum Development Program (CCD), the Course Curriculum and Laboratory Improvement Program (CCLI), and the Transforming Undergraduate STEM Education Program (TUES). All of these programs sought/seek to support high quality STEM education for majors and non-majors in lower- and upper-division undergraduate courses. The current IUSE-EHR program is described in a 2-year solicitation that includes two tracks: Engaged Student Learning, and Institutional & Community Transformation. Each track has several options for funding level and project duration. A wide range of activities can be proposed for funding, and the program recognizes the varying needs across STEM disciplines. Geoscientists and other potential IUSE proposers are strongly encouraged to form collaborations with colleagues that conduct educational research and to propose projects that build upon the educational knowledge base in the discipline as well as contribute to it. Achieving this may not be immediately obvious to many geoscientists who have interests in improving student learning in their courses, but are not fluent in the scholarship of education in their field. To lower the barriers that have historically prevented larger numbers of geoscientists from developing their ideas into competitive education-related proposals, we have explored strategies for building and leveraging partnerships, sought to identify available resources for proposers, and explored a range of strategies for engaging and supporting larger numbers of potential geoscience proposers.
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…
ERIC Educational Resources Information Center
Alharbi, Abeer A.; Stoet, Gijsbert
2017-01-01
There is no consensus among academics about whether children benefit from smaller classes. We analysed the data from the 2012 Programme for International Student Assessment (PISA) to test if smaller classes lead to higher performance. Advantages of using this data set are not only its size (478,120 15-year old students in 63 nations) and…
A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine.
Duan, Mingxing; Li, Kenli; Liao, Xiangke; Li, Keqin
2018-06-01
As data sets become larger and more complicated, an extreme learning machine (ELM) that runs in a traditional serial environment cannot realize its ability to be fast and effective. Although a parallel ELM (PELM) based on MapReduce to process large-scale data shows more efficient learning speed than identical ELM algorithms in a serial environment, some operations, such as intermediate results stored on disks and multiple copies for each task, are indispensable, and these operations create a large amount of extra overhead and degrade the learning speed and efficiency of the PELMs. In this paper, an efficient ELM based on the Spark framework (SELM), which includes three parallel subalgorithms, is proposed for big data classification. By partitioning the corresponding data sets reasonably, the hidden layer output matrix calculation algorithm, matrix decomposition algorithm, and matrix decomposition algorithm perform most of the computations locally. At the same time, they retain the intermediate results in distributed memory and cache the diagonal matrix as broadcast variables instead of several copies for each task to reduce a large amount of the costs, and these actions strengthen the learning ability of the SELM. Finally, we implement our SELM algorithm to classify large data sets. Extensive experiments have been conducted to validate the effectiveness of the proposed algorithms. As shown, our SELM achieves an speedup on a cluster with ten nodes, and reaches a speedup with 15 nodes, an speedup with 20 nodes, a speedup with 25 nodes, a speedup with 30 nodes, and a speedup with 35 nodes.
Emotionalized learning experiences: Tapping into the affective domain.
Green, Zane Asher; Batool, Sadia
2017-06-01
The experimental study was undertaken to examine the effect of emotionalized learning experiences on the academic achievement of students at Preston University. The major objectives of the study were to identify the effect of teaching methods on students' academic achievement and to evaluate the relationship between affective learning conditions and students' academic achievement. Based on four intact semesters, the population of the study comprised 140 students from the Bachelors of Business Administration Program. The whole population was considered as the sample. The control group (28 students) was taught through the interactive lecture method, whereas, the experimental group 1 (35 students), experimental group 2 (46 students) and experimental group 3 (31 students) were taught through the activity method, reflective learning method and cooperative learning method respectively. Results indicated a significant difference between the pretest and posttest scores obtained in the achievement test as a result of the effect of teaching methods used for offering the emotionalized learning experiences. There was also a significant relationship between affective leaning conditions and students' academic achievement. Furthermore, it was found that students' academic achievement in the affective domain was highest with regard to workshops 1, 2 and 3. It was concluded that the emotionalized learning experiences offered to the students via the four teaching methods helped students in enhancing their knowledge, changing their attitudes and developing their skills with regard to living a happy, healthy and meaningful life. However, the reflective learning method proved to be the most suitable followed by the interactive lecture method, the cooperative learning method and the activity method. Copyright © 2017 Elsevier Ltd. All rights reserved.
Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T.
Citak-Er, Fusun; Firat, Zeynep; Kovanlikaya, Ilhami; Ture, Ugur; Ozturk-Isik, Esin
2018-06-15
The objective of this study was to assess the contribution of multi-parametric (mp) magnetic resonance imaging (MRI) quantitative features in the machine learning-based grading of gliomas with a multi-region-of-interests approach. Forty-three patients who were newly diagnosed as having a glioma were included in this study. The patients were scanned prior to any therapy using a standard brain tumor magnetic resonance (MR) imaging protocol that included T1 and T2-weighted, diffusion-weighted, diffusion tensor, MR perfusion and MR spectroscopic imaging. Three different regions-of-interest were drawn for each subject to encompass tumor, immediate tumor periphery, and distant peritumoral edema/normal. The normalized mp-MRI features were used to build machine-learning models for differentiating low-grade gliomas (WHO grades I and II) from high grades (WHO grades III and IV). In order to assess the contribution of regional mp-MRI quantitative features to the classification models, a support vector machine-based recursive feature elimination method was applied prior to classification. A machine-learning model based on support vector machine algorithm with linear kernel achieved an accuracy of 93.0%, a specificity of 86.7%, and a sensitivity of 96.4% for the grading of gliomas using ten-fold cross validation based on the proposed subset of the mp-MRI features. In this study, machine-learning based on multiregional and multi-parametric MRI data has proven to be an important tool in grading glial tumors accurately even in this limited patient population. Future studies are needed to investigate the use of machine learning algorithms for brain tumor classification in a larger patient cohort. Copyright © 2018. Published by Elsevier Ltd.
Learning from adaptive neural dynamic surface control of strict-feedback systems.
Wang, Min; Wang, Cong
2015-06-01
Learning plays an essential role in autonomous control systems. However, how to achieve learning in the nonstationary environment for nonlinear systems is a challenging problem. In this paper, we present learning method for a class of n th-order strict-feedback systems by adaptive dynamic surface control (DSC) technology, which achieves the human-like ability of learning by doing and doing with learned knowledge. To achieve the learning, this paper first proposes stable adaptive DSC with auxiliary first-order filters, which ensures the boundedness of all the signals in the closed-loop system and the convergence of tracking errors in a finite time. With the help of DSC, the derivative of the filter output variable is used as the neural network (NN) input instead of traditional intermediate variables. As a result, the proposed adaptive DSC method reduces greatly the dimension of NN inputs, especially for high-order systems. After the stable DSC design, we decompose the stable closed-loop system into a series of linear time-varying perturbed subsystems. Using a recursive design, the recurrent property of NN input variables is easily verified since the complexity is overcome using DSC. Subsequently, the partial persistent excitation condition of the radial basis function NN is satisfied. By combining a state transformation, accurate approximations of the closed-loop system dynamics are recursively achieved in a local region along recurrent orbits. Then, the learning control method using the learned knowledge is proposed to achieve the closed-loop stability and the improved control performance. Simulation studies are performed to demonstrate the proposed scheme can not only reuse the learned knowledge to achieve the better control performance with the faster tracking convergence rate and the smaller tracking error but also greatly alleviate the computational burden because of reducing the number and complexity of NN input variables.
Ecologies of Learning: Culture, Context and Outcomes of Workplace LES. Research Brief
ERIC Educational Resources Information Center
Merrifield, Juliet
2013-01-01
There is a need to connect workplace learning and essential skills to a larger domain of workplace learning in general. To do this, the contexts in which learning takes place, and the cultures of the actors and environments involved, should be taken into consideration. Although research on the direct effects of contexts and cultures on workplace…
ERIC Educational Resources Information Center
Filippatou, Diamanto; Kaldi, Stavroula
2010-01-01
This study focuses upon the effectiveness of project-based learning on primary school pupils with learning difficulties regarding their academic performance and attitudes towards self efficacy, task value, group work and teaching methods applied. The present study is a part of a larger one that included six Greek fourth-grade primary school…
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…
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…
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…
ERIC Educational Resources Information Center
Mohan, Subhas
2015-01-01
This study explores the differences in student achievement on state standardized tests between experiential learning and direct learning instructional methodologies. Specifically, the study compares student performances in Expeditionary Learning schools, which is a Comprehensive School Reform model that utilizes experiential learning, to their…
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…
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…
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…
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…
NASA Astrophysics Data System (ADS)
Chen, Cheng-ping; Wang, Chang-Hwa
2015-12-01
Studies have proven that merging hands-on and online learning can result in an enhanced experience in learning science. In contrast to traditional online learning, multiple in-classroom activities may be involved in an augmented-reality (AR)-embedded e-learning process and thus could reduce the effects of individual differences. Using a three-stage AR-embedded instructional process, we conducted an experiment to investigate the influences of individual differences on learning earth science phenomena of "day, night, and seasons" for junior highs. The mixed-methods sequential explanatory design was employed. In the quantitative phase, factors of learning styles and ICT competences were examined alongside with the overall learning achievement. Independent t tests and ANCOVAs were employed to achieve inferential statistics. The results showed that overall learning achievement was significant for the AR-embedded instruction. Nevertheless, neither of the two learner factors exhibited significant effect on learning achievement. In the qualitative phase, we analyzed student interview records, and a wide variation on student's preferred instructional stages were revealed. These findings could provide an alternative rationale for developing ICT-supported instruction, as our three-stage AR-embedded comprehensive e-learning scheme could enhance instruction adaptiveness to disperse the imparities of individual differences between learners.
Image segmentation evaluation for very-large datasets
NASA Astrophysics Data System (ADS)
Reeves, Anthony P.; Liu, Shuang; Xie, Yiting
2016-03-01
With the advent of modern machine learning methods and fully automated image analysis there is a need for very large image datasets having documented segmentations for both computer algorithm training and evaluation. Current approaches of visual inspection and manual markings do not scale well to big data. We present a new approach that depends on fully automated algorithm outcomes for segmentation documentation, requires no manual marking, and provides quantitative evaluation for computer algorithms. The documentation of new image segmentations and new algorithm outcomes are achieved by visual inspection. The burden of visual inspection on large datasets is minimized by (a) customized visualizations for rapid review and (b) reducing the number of cases to be reviewed through analysis of quantitative segmentation evaluation. This method has been applied to a dataset of 7,440 whole-lung CT images for 6 different segmentation algorithms designed to fully automatically facilitate the measurement of a number of very important quantitative image biomarkers. The results indicate that we could achieve 93% to 99% successful segmentation for these algorithms on this relatively large image database. The presented evaluation method may be scaled to much larger image databases.
Overcoming Common Conceptual and Reasoning Difficulties in Cosmology: A Lecture-Tutorial Approach
NASA Astrophysics Data System (ADS)
Prather, Edward E.; Wallace, C. S.; Duncan, D.
2011-01-01
For the past two years, we have conducted fundamental research into Astro 101 students' conceptual and reasoning difficulties in cosmology. To date, we have analyzed the responses of over 2000 students from institutions across the United States to questions on the Big Bang, the expansion and evolution of the universe, and the evidence for dark matter. Our findings have helped guide the development of a new suite of cosmology Lecture-Tutorials to help students overcome their conceptual and reasoning difficulties. We discuss naïve ideas Astro 101 students have with several cosmology topics and provide evidence that the new Lecture-Tutorials help students achieve larger learning gains than is achieved by lecture alone. This material is based upon work supported by the National Science Foundation under Grant No. 0833364 and Grant No. 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Presenting the Students’ Academic Achievement Causal Model based on Goal Orientation
NASIRI, EBRAHIM; POUR-SAFAR, ALI; TAHERI, MAHDOKHT; SEDIGHI PASHAKY, ABDULLAH; ASADI LOUYEH, ATAOLLAH
2017-01-01
Introduction: Several factors play a role in academic achievement, individual's excellence and capability to do actions and tasks that the learner is in charge of in learning areas. The main goal of this study was to present academic achievement causal model based on the dimensions of goal orientation and learning approaches among the students of Medical Science and Dentistry courses in Guilan University of Medical Sciences in 2013. Methods: This study is based on a cross-sectional model. The participants included 175 first and second students of the Medical and Dentistry schools in Guilan University of Medical Sciences selected by random cluster sampling [121 persons (69%) Medical Basic Science students and 54 (30.9%) Dentistry students]. The measurement tool included the Goal Orientation Scale of Bouffard and Study Process Questionnaire of Biggs) and the students’ Grade Point Average. The study data were analyzed using Pearson correlation coefficient and structural equations modeling. SPSS 14 and Amos were used to analyze the data. Results: The results indicated a significant relationship between goal orientation and learning strategies (P<0.05). In addition, the results revealed that a significant relationship exists between learning strategies[Deep Learning (r=0.37, P<0.05), Surface Learning (r=-0.21,P<0.05)], and academic achievement.The suggested model of research is fitted to the data of the research. Conclusion: Results showed that the students' academic achievement model fits with experimental data, so it can be used in learning principles which lead to students’ achievement in learning. PMID:28979914
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…
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…
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:…
ERIC Educational Resources Information Center
Doymus, Kemal
2007-01-01
This study aims to determine the effects of cooperative learning (using the jigsaw method) on students' achievement in a general chemistry course. The Chemistry Achievement Test (CAT) and Phase Achievement Test (PAT) were used. The questions on the CAT relate to solids, liquids, gases, bonding, matter, and matter states. This test was given to…
ERIC Educational Resources Information Center
Kang, Ho Soo
2013-01-01
Teacher professional development has long been of interest since it may affect teachers' learning, the practice of teaching, and student learning. Although empirical research has mainly explored the effect of specific professional development interventions on student achievement, these inventions have been initiated outside the school, and little…
ERIC Educational Resources Information Center
Shamaki, Timothy Ado
2015-01-01
The purpose of the study was to determine the influence of learning environment on students' academic achievement in mathematics at senior secondary school level. Thus the study investigated some components of learning environment and their possible influence on students' academic achievement in mathematics. A sample of 337 randomly selected SS II…
Lin, Tong; Liu, Tiebing; Lin, Yucheng; Yan, Lailai; Chen, Zhongxue; Wang, Jingyu
2017-09-01
The etiology and pathophysiology of schizophrenia (SCZ) remain obscure. This study explored the associations between SCZ risk and serum levels of 39 macro and trace elements (MTE). A 1:1 matched case-control study was conducted among 114 schizophrenia patients and 114 healthy controls matched by age, sex and region. Blood samples were collected to determine the concentrations of 39 MTE by ICP-AES and ICP-MS. Both supervised learning methods and classical statistical testing were used to uncover the difference of MTE levels between cases and controls. The best prediction accuracies were 99.21% achieved by support vector machines in the original feature space (without dimensionality reduction), and 98.82% achieved by Naive Bayes with dimensionality reduction. More than half of MTE were found to be significantly different between SCZ patients and the controls. The presented investigation showed that there existed remarkable differences in concentrations of MTE between SCZ patients and healthy controls. The results of this study might be useful to diagnosis and prognosis of SCZ; they also indicated other promising applications in pharmacy and nutrition. However, the results should be interpreted with caution due to limited sample size and the lack of potential confounding factors, such as alcohol, smoking, body mass index (BMI), use of antipsychotics and dietary intakes. In the future the application of the analyses will be useful in designs that have larger sample sizes. Copyright © 2017 Elsevier GmbH. All rights reserved.
A case study of cultural educational opportunities for Native students: The scientific storyteller
NASA Astrophysics Data System (ADS)
Valdez, Shelly Ann
2002-09-01
This case study examines cultural educational opportunities for Native Alaskan students in Native Alaskan community schools. The study looks at three components of a larger initiative of systemic educational reform efforts for rural Alaskan communities: Native science fairs, summer science camps and involvement of elders. The study focuses on six Native Alaskan students from one Native Alaskan rural village in northern Alaska. The six students ranged from seventh, ninth and eleventh grades. Additionally twenty-one teachers, five Native Alaskan elders and four Alaskan Rural Systemic Initiative staff were interviewed as a part of this study. With interviews, observations, surveys, analysis of science and mathematics achievement scores, this case study will explore the effectiveness of including the science of Native Alaskan culture in the learning environment of rural Alaskan community schools. The outcomes of this study indicate that the self-esteem and attitudes of Native Alaskan students changed positively in relationship to pride in culture, honor of elders, interest in language maintenance and concern for inclusion of Native ways of knowing in school activities as a result of the cultural-rich experiences included in the learning environment. There were no significant results that indicated these types of cultural-rich experiences impacted positive gains in science and mathematics achievement scores of Native Alaskan students. At the end of the study several suggestions are made to improve and consider continued research in this area. It is hoped that this study will provide input to the continued dialogue on Indian Education.
Long-Term Health Impact of Early Nutrition: The Power of Programming.
Koletzko, Berthold; Brands, Brigitte; Grote, Veit; Kirchberg, Franca F; Prell, Christine; Rzehak, Peter; Uhl, Olaf; Weber, Martina
2017-01-01
The Power of Programming conference 2016 at Ludwig-Maximilians-Universität Munich brought together about 600 researchers and other stakeholders from around the world who reviewed the recent evidence on the lasting health impact of environment and nutrition during early life, from pre-pregnancy to early childhood. The conference was hosted by the Early Nutrition Project, a multidisciplinary research collaboration funded by the European Commission with collaborating researchers from 35 institutions in 15 countries in Europe, the United States and Australia. The project explores the early origins of obesity, adiposity and associated non-communicable diseases, underlying mechanisms and opportunities for prevention. The project also proactively supports translational application of research findings. In fact, some existing evidence has already been rapidly adopted into policy, regulatory standards and practice. Further, broad dissemination of findings is achieved through the established digital eLearning platform of the Early Nutrition eAcademy, video clip-based learning and graphically supported messaging to consumers. The project demonstrated powerful effects of early metabolic programming on later health. Compared to other common prevention strategies, modifying risk trajectories in early life can achieve a much larger risk reduction and be more cost-effective. While some effective prevention strategies have been promptly implemented in policy and guidelines, legislation and practice, in other areas, the uptake is limited by a paucity of quality human intervention trials and insufficient evaluation of the feasibility of implementation and econometric impact. This needs to be strengthened by future collaborative research work. © 2017 S. Karger AG, Basel.
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.
NASA Astrophysics Data System (ADS)
Ulfa, Andi Maria; Sugiyarto, Kristian H.; Ikhsan, Jaslin
2017-05-01
Poor achievement of students' performance on Chemistry may result from unfavourable learning processes. Therefore, innovation on learning process must be created. Regarding fast development of mobile technology, learning process cannot ignore the crucial role of the technology. This research and development (R&D) studies was done to develop android based application and to study the effect of its integration in Learning together (LT) into the improvement of students' learning creativity and cognitive achievement. The development of the application was carried out by adapting Borg & Gall and Dick & Carey model. The developed-product was reviewed by chemist, learning media practitioners, peer reviewers, and educators. After the revision based on the reviews, the application was used in the LT model on the topic of Stoichiometry in a senior high school. The instruments were questionnaires to get comments and suggestion from the reviewers about the application, and the another questionnaire was to collect the data of learning creativity. Another instrument used was a set of test by which data of students' achievement was collected. The results showed that the use of the mobile based application on Learning Together can bring about significant improvement of students' performance including creativity and cognitive achievement.
The dynamics of Machiavellian intelligence.
Gavrilets, Sergey; Vose, Aaron
2006-11-07
The "Machiavellian intelligence" hypothesis (or the "social brain" hypothesis) posits that large brains and distinctive cognitive abilities of humans have evolved via intense social competition in which social competitors developed increasingly sophisticated "Machiavellian" strategies as a means to achieve higher social and reproductive success. Here we build a mathematical model aiming to explore this hypothesis. In the model, genes control brains which invent and learn strategies (memes) which are used by males to gain advantage in competition for mates. We show that the dynamics of intelligence has three distinct phases. During the dormant phase only newly invented memes are present in the population. During the cognitive explosion phase the population's meme count and the learning ability, cerebral capacity (controlling the number of different memes that the brain can learn and use), and Machiavellian fitness of individuals increase in a runaway fashion. During the saturation phase natural selection resulting from the costs of having large brains checks further increases in cognitive abilities. Overall, our results suggest that the mechanisms underlying the "Machiavellian intelligence" hypothesis can indeed result in the evolution of significant cognitive abilities on the time scale of 10 to 20 thousand generations. We show that cerebral capacity evolves faster and to a larger degree than learning ability. Our model suggests that there may be a tendency toward a reduction in cognitive abilities (driven by the costs of having a large brain) as the reproductive advantage of having a large brain decreases and the exposure to memes increases in modern societies.
The dynamics of Machiavellian intelligence
Gavrilets, Sergey; Vose, Aaron
2006-01-01
The “Machiavellian intelligence” hypothesis (or the “social brain” hypothesis) posits that large brains and distinctive cognitive abilities of humans have evolved via intense social competition in which social competitors developed increasingly sophisticated “Machiavellian” strategies as a means to achieve higher social and reproductive success. Here we build a mathematical model aiming to explore this hypothesis. In the model, genes control brains which invent and learn strategies (memes) which are used by males to gain advantage in competition for mates. We show that the dynamics of intelligence has three distinct phases. During the dormant phase only newly invented memes are present in the population. During the cognitive explosion phase the population's meme count and the learning ability, cerebral capacity (controlling the number of different memes that the brain can learn and use), and Machiavellian fitness of individuals increase in a runaway fashion. During the saturation phase natural selection resulting from the costs of having large brains checks further increases in cognitive abilities. Overall, our results suggest that the mechanisms underlying the “Machiavellian intelligence” hypothesis can indeed result in the evolution of significant cognitive abilities on the time scale of 10 to 20 thousand generations. We show that cerebral capacity evolves faster and to a larger degree than learning ability. Our model suggests that there may be a tendency toward a reduction in cognitive abilities (driven by the costs of having a large brain) as the reproductive advantage of having a large brain decreases and the exposure to memes increases in modern societies. PMID:17075072
Current trends in the empirical study of cognitive remediation for schizophrenia.
Saperstein, Alice M; Kurtz, Matthew M
2013-06-01
Cognitive remediation (CR) for schizophrenia is a learning-based behavioural skills training intervention designed to enhance neuro and (or) social cognitive skills, with the ultimate goal of generalization to improve psychosocial outcomes. This review summarizes conceptual approaches to CR for schizophrenia and the evidence for efficacy in clinical research settings. Four issues are at the forefront of ongoing research: the identification of techniques that produce the largest cognitive change, delineation of techniques that enhance transfer of cognitive skills to functional skills, the identification of CR methods that can be personalized to meet the specific cognitive and functional needs of each individual, and, all the while, ensuring that when CR methods are developed in a research setting, they remain scalable for delivery in the larger clinical community. In response to these issues, 3 prominent research trends have emerged: the rise of a new generation of computerized restorative cognitive training, the integration of CR with skills training to promote generalization, and the application of techniques to enhance motivation and learning during CR. As data on the neural basis of learning in people with schizophrenia become available, new technologies that harness the ability of the brain to make sustainable, functional changes may be integrated within a therapeutic context that promotes a personalized approach to learning. The development of transportable and scalable methods of CR that maximize the ability of people with schizophrenia to improve cognition will help them achieve personal goals for recovery.
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…
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…
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…
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.…
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…
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…
ERIC Educational Resources Information Center
Barnard, Lucy; Paton, Valerie; Lan, William
2008-01-01
Positive perceptions of online course communication and collaboration have been associated with better academic outcomes, while self-regulatory learning behaviors have also been linked to academic achievement and other positive learning outcomes. In the current study, we examined whether self-regulatory learning behaviors may be considered as…
ERIC Educational Resources Information Center
Faris, Ahmed O.
2009-01-01
The current study aims at investigating the impact of homogeneous versus heterogeneous collaborative learning grouping in multicultural classes on the students' achievements and attitudes towards learning science. In the present study, heterogeneity was unpacked through two dimensions: the cultural background, represented by the different…
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…
ERIC Educational Resources Information Center
Zach, Sima; Yazdi-Ugav, Orly; Zeev, Aviva
2016-01-01
This study aimed to examine to what extent academic achievements, learning disorders, behavior problems and loneliness explain the variance of students' social skills. The differences between students diagnosed with learning disorders and students without learning disorders in all four variables were examined. Participants were 733 elementary…
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…
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…
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…
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…
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…
ERIC Educational Resources Information Center
Nguyen, ThuyUyen H.; Charity, Ian; Robson, Andrew
2016-01-01
This study investigates students' perceptions of computer-based learning environments, their attitude towards business statistics, and their academic achievement in higher education. Guided by learning environments concepts and attitudinal theory, a theoretical model was proposed with two instruments, one for measuring the learning environment and…
The impact of size of cooperative group on achievement, social support, and self-esteem.
Bertucci, Andrea; Conte, Stella; Johnson, David W; Johnson, Roger T
2010-01-01
The effect of cooperative learning in pairs and groups of 4 and in individualistic learning were compared on achievement, social support, and self-esteem. Sixty-two Italian 7th-grade students with no previous experience with cooperative learning were assigned to conditions on a stratified random basis controlling for ability, gender, and self-esteem. Students participated in 1 instructional unit for 90 min for 6 instructional days during a period of about 6 weeks. The results indicate that cooperative learning in pairs and 4s promoted higher achievement and greater academic support from peers than did individualistic learning. Students working in pairs developed a higher level of social self-esteem than did students learning in the other conditions.
Colbert-Getz, Jorie M; Tackett, Sean; Wright, Scott M; Shochet, Robert S
2016-08-28
This study was conducted to characterize the relative strength of associations of learning environment perception with academic performance and with personal growth. In 2012-2014 second and third year students at Johns Hopkins University School of Medicine completed a learning environment survey and personal growth scale. Hierarchical linear regression analysis was employed to determine if the proportion of variance in learning environment scores accounted for by personal growth was significantly larger than the proportion accounted for by academic performance (course/clerkship grades). The proportion of variance in learning environment scores accounted for by personal growth was larger than the proportion accounted for by academic performance in year 2 [R(2)Δ of 0.09, F(1,175) = 14.99, p < .001] and year 3 [R(2)Δ of 0.28, F(1,169) = 76.80, p < .001]. Learning environment scores shared a small amount of variance with academic performance in years 2 and 3. The amount of variance between learning environment scores and personal growth was small in year 2 and large in year 3. Since supportive learning environments are essential for medical education, future work must determine if enhancing personal growth prior to and during the clerkship year will increase learning environment perception.
Tackett, Sean; Wright, Scott M.; Shochet, Robert S.
2016-01-01
Objectives This study was conducted to characterize the relative strength of associations of learning environment perception with academic performance and with personal growth. Methods In 2012-2014 second and third year students at Johns Hopkins University School of Medicine completed a learning environment survey and personal growth scale. Hierarchical linear regression analysis was employed to determine if the proportion of variance in learning environment scores accounted for by personal growth was significantly larger than the proportion accounted for by academic performance (course/clerkship grades). Results The proportion of variance in learning environment scores accounted for by personal growth was larger than the proportion accounted for by academic performance in year 2 [R2Δ of 0.09, F(1,175) = 14.99, p < .001] and year 3 [R2Δ of 0.28, F(1,169) = 76.80, p < .001]. Learning environment scores shared a small amount of variance with academic performance in years 2 and 3. The amount of variance between learning environment scores and personal growth was small in year 2 and large in year 3. Conclusions Since supportive learning environments are essential for medical education, future work must determine if enhancing personal growth prior to and during the clerkship year will increase learning environment perception. PMID:27570912
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…
What the Student Does: Teaching for Enhanced Learning
ERIC Educational Resources Information Center
Biggs, John
2012-01-01
Many teachers see major difficulties in maintaining academic standards in today's larger and more diversified classes. The problem becomes more tractable if learning outcomes are seen as more a function of students' activities than of their fixed characteristics. The teacher's job is then to organise the teaching/learning context so that all…
Application of Multimedia Technologies to Enhance Distance Learning
ERIC Educational Resources Information Center
Buckley, Wendy; Smith, Alexandra
2008-01-01
Educators' use of multimedia enhances the online learning experience by presenting content in a combination of audio, video, graphics, and text in various formats to address a range of student learning styles. Many personnel preparation programs in visual impairments have turned to online education to serve students over a larger geographic area.…
Imitation and Education: A Philosophical Inquiry into Learning by Example
ERIC Educational Resources Information Center
Warnick, Bryan R.
2008-01-01
"Imitation and Education" provides an in-depth reassessment of learning by example that places imitation in a larger social context. It is the first book to bring together ancient educational thought and startling breakthroughs in the fields of cognitive science, psychology, and philosophy to reconsider how we learn from the lives of…
Mixed Skies Ahead: What Happened to E-Learning and Why
ERIC Educational Resources Information Center
Change, 2004
2004-01-01
The most recent educational innovation to capture widespread attention derives from the linking of rapidly maturing informational technologies to the renewed interest in how, when, and why people learn. Technically defined as electronically mediated instruction, but dubbed "e-learning" to mark its place within the larger e-commerce revolution,…
Nothing is safe: Intolerance of uncertainty is associated with compromised fear extinction learning.
Morriss, Jayne; Christakou, Anastasia; van Reekum, Carien M
2016-12-01
Extinction-resistant fear is considered to be a central feature of pathological anxiety. Here we sought to determine if individual differences in Intolerance of Uncertainty (IU), a potential risk factor for anxiety disorders, underlies compromised fear extinction. We tested this hypothesis by recording electrodermal activity in 38 healthy participants during fear acquisition and extinction. We assessed the temporality of fear extinction, by examining early and late extinction learning. During early extinction, low IU was associated with larger skin conductance responses to learned threat vs. safety cues, whereas high IU was associated with skin conductance responding to both threat and safety cues, but no cue discrimination. During late extinction, low IU showed no difference in skin conductance between learned threat and safety cues, whilst high IU predicted continued fear expression to learned threat, indexed by larger skin conductance to threat vs. safety cues. These findings suggest a critical role of uncertainty-based mechanisms in the maintenance of learned fear. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.
Science Learning Outcomes in Alignment with Learning Environment Preferences
NASA Astrophysics Data System (ADS)
Chang, Chun-Yen; Hsiao, Chien-Hua; Chang, Yueh-Hsia
2011-04-01
This study investigated students' learning environment preferences and compared the relative effectiveness of instructional approaches on students' learning outcomes in achievement and attitude among 10th grade earth science classes in Taiwan. Data collection instruments include the Earth Science Classroom Learning Environment Inventory and Earth Science Learning Outcomes Inventory. The results showed that most students preferred learning in a classroom environment where student-centered and teacher-centered instructional approaches coexisted over a teacher-centered learning environment. A multivariate analysis of covariance also revealed that the STBIM students' cognitive achievement and attitude toward earth science were enhanced when the learning environment was congruent with their learning environment preference.
How Health Behaviors Relate to Academic Performance via Affect: An Intensive Longitudinal Study
Flueckiger, Lavinia; Lieb, Roselind; Meyer, Andrea H.; Mata, Jutta
2014-01-01
Objective This intensive longitudinal study examined how sleep and physical activity relate to university students’ affect and academic performance during a stressful examination period. Methods On 32 consecutive days, 72 first-year students answered online questionnaires on their sleep quality, physical activity, positive and negative affect, learning goal achievement, and examination grades. First-year university students are particularly well-suited to test our hypotheses: They represent a relatively homogeneous population in a natural, but controlled setting, and simultaneously deal with similar stressors, such as examinations. Data were analyzed using multilevel structural equation models. Results Over the examination period, better average sleep quality but not physical activity predicted better learning goal achievement. Better learning goal achievement was associated with increased probability of passing all examinations. Relations of average sleep quality and average physical activity with learning goal achievement were mediated by experienced positive affect. In terms of day-to-day dynamics, on days with better sleep quality, participants reported better learning goal achievement. Day-to-day physical activity was not related to daily learning goal achievement. Daily positive and negative affect both mediated the effect of day-to-day sleep quality and physical activity on daily learning goal achievement. Conclusion Health behaviors such as sleep quality and physical activity seem important for both academic performance and affect experience, an indicator of mental health, during a stressful examination period. These results are a first step toward a better understanding of between- and within-person variations in health behaviors, affect, and academic performance, and could inform prevention and intervention programs for university students. PMID:25353638
How health behaviors relate to academic performance via affect: an intensive longitudinal study.
Flueckiger, Lavinia; Lieb, Roselind; Meyer, Andrea H; Mata, Jutta
2014-01-01
This intensive longitudinal study examined how sleep and physical activity relate to university students' affect and academic performance during a stressful examination period. On 32 consecutive days, 72 first-year students answered online questionnaires on their sleep quality, physical activity, positive and negative affect, learning goal achievement, and examination grades. First-year university students are particularly well-suited to test our hypotheses: They represent a relatively homogeneous population in a natural, but controlled setting, and simultaneously deal with similar stressors, such as examinations. Data were analyzed using multilevel structural equation models. Over the examination period, better average sleep quality but not physical activity predicted better learning goal achievement. Better learning goal achievement was associated with increased probability of passing all examinations. Relations of average sleep quality and average physical activity with learning goal achievement were mediated by experienced positive affect. In terms of day-to-day dynamics, on days with better sleep quality, participants reported better learning goal achievement. Day-to-day physical activity was not related to daily learning goal achievement. Daily positive and negative affect both mediated the effect of day-to-day sleep quality and physical activity on daily learning goal achievement. Health behaviors such as sleep quality and physical activity seem important for both academic performance and affect experience, an indicator of mental health, during a stressful examination period. These results are a first step toward a better understanding of between- and within-person variations in health behaviors, affect, and academic performance, and could inform prevention and intervention programs for university students.
ERIC Educational Resources Information Center
McLaren, Bruce M.; Adams, Deanne M.; Mayer, Richard E.
2015-01-01
Erroneous examples--step-by-step problem solutions with one or more errors for students to find and fix--hold great potential to help students learn. In this study, which is a replication of a prior study (Adams et al. 2014), but with a much larger population (390 vs. 208), middle school students learned about decimals either by working with…
Integrated learning of mathematics, science and technology concepts through LEGO/Logo projects
NASA Astrophysics Data System (ADS)
Wu, Lina
This dissertation examined integrated learning in the domains of mathematics, science and technology based on Piaget's constructivism, Papert's constructionism, and project-based approach to education. Ten fifth grade students were involved in a two-month long after school program where they designed and built their own computer-controlled LEGO/Logo projects that required the use of gears, ratios and motion concepts. The design of this study centered on three notions of integrated learning: (1) integration in terms of what educational materials/settings provide, (2) integration in terms of students' use of those materials, and (3) integration in the psychological sense. In terms of the first notion, the results generally showed that the LEGO/Logo environment supported the integrated learning of math, science and technology concepts. Regarding the second notion, the students all completed impressive projects of their own design. They successfully combined gears, motors, and LEGO parts together to create motion and writing control commands to manipulate the motion. But contrary to my initial expectations, their successful designs did not require numerical reasoning about ratios in designing effective gear systems. When they did reason about gear relationships, they worked with "qualitative" ratios, e.g., "a larger driver gear with a smaller driven gear increases the speed." In terms of the third notion of integrated learning, there was evidence in all four case study students of the psychological processes involved in linking mathematical, scientific, and/or technological concepts together to achieve new conceptual units. The students not only made connections between ideas and experiences, but also recognized decisive patterns and relationships in their project work. The students with stronger overall project performances showed more evidence of synthesis than the students with relatively weaker performances did. The findings support the conclusion that all three notions of the integrated learning are important for understanding what the students learned from their project work. By considering these notions together, and by deliberating about their interrelations, we take a step towards understanding the integrated learning.
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)
A Blended Learning Experience for Teaching Microbiology
Sancho, Pilar; Corral, Ricardo; Rivas, Teresa; González, María Jesús; Chordi, Andrés
2006-01-01
Objectives To create a virtual laboratory system in which experimental science students could learn required skills and competencies while overcoming such challenges as time limitations, high cost of resources, and lack of feedback often encountered in a traditional laboratory setting. Design A blended learning experience that combines traditional practices and e-learning was implemented to teach microbiological methods to pharmacy students. Virtual laboratory modules were used to acquire nonmanual skills such as visual and mental skills for data reading, calculations, interpretation of the results, deployment of an analytical protocol, and reporting results. Assesment Learning achievement was evaluated by questions about microbiology case-based problems. Students' perceptions were obtained by assessment questionnaire. Conclusion By combining different learning scenarios, the acquisition of the necessary but otherwise unreachable competences was achieved. Students achieved similar grades in the modules whose initiation was in the virtual laboratory to the grades they achieved with the modules whose complete or partial initiation took place in the laboratory. The knowledge acquired was satisfactory and the participants valued the experience. PMID:17149449
Tomlinson, Jo; Shaw, Tim; Munro, Ana; Johnson, Ros; Madden, D Lynne; Phillips, Rosemary; McGregor, Deborah
2013-11-01
Telecommuniciation technologies, including audio and videoconferencing facilities, afford geographically dispersed health professionals the opportunity to connect and collaborate with others. Recognised for enabling tele-consultations and tele-collaborations between teams of health care professionals and their patients, these technologies are also well suited to the delivery of distance learning programs, known as tele-learning. To determine whether tele-learning delivery methods achieve equivalent learning outcomes when compared with traditional face-to-face education delivery methods. A systematic literature review was commissioned by the NSW Ministry of Health to identify results relevant to programs applying tele-learning delivery methods in the provision of education to health professionals. The review found few studies that rigorously compared tele-learning with traditional formats. There was some evidence, however, to support the premise that tele-learning models achieve comparable learning outcomes and that participants are generally satisfied with and accepting of this delivery method. The review illustrated that tele-learning technologies not only enable distance learning opportunities, but achieve comparable learning outcomes to traditional face-to-face models. More rigorous evidence is required to strengthen these findings and should be the focus of future tele-learning research.
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"…
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…
ERIC Educational Resources Information Center
Altun, Sertel
2015-01-01
The purpose of this study is to investigate the efficiency of learning plan implementation prepared with the cooperative learning method. In particular, the study addresses the effect of cooperative learning on students' achievement and their views regarding the "Systems in Our Body" unit of the 6th grade Science and Technology lesson.…
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…
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…
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…
ERIC Educational Resources Information Center
Clark, Tanner
2017-01-01
The underachievement of students in the US is a growing and significant problem. When guided by the K-12 Service-Learning Standards for Quality Practice, research has shown service-learning results in increased academic achievement among middle and high school students. This study focused on identifying the impact of service learning interventions…
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…
ERIC Educational Resources Information Center
Wang, Kai-Ping
2012-01-01
Purpose: The purpose of this study was to determine the effectiveness of competitive Student Team Achievement Division (STAD), non-competitive STAD, and traditional learning on chemistry learning and learning perceptions. Sample, design and methods: By adopting the STAD approach, this study examined 144 nursing students at a five-year junior…
ERIC Educational Resources Information Center
Ferrari, Marcella; Palladino, Paola
2007-01-01
A group of seventh- and eighth-grade Italian students with low achievement (LA) in learning English as a foreign language (FL) was selected and compared to a group with high achievement (HA) in FL learning. The two groups were matched for age and nonverbal intelligence. Two experiments were conducted to examine the participants' verbal and…
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…
Service-learning: an integral part of undergraduate public health.
Cashman, Suzanne B; Seifer, Sarena D
2008-09-01
In 2003, the Institute of Medicine (IOM) described public health as "an essential part of the training of citizens," a body of knowledge needed to achieve a public health literate citizenry. To achieve that end, the IOM recommended that "all undergraduates should have access to education in public health." Service-learning, a type of experiential learning, is an effective and appropriate vehicle for teaching public health and developing public health literacy. While relatively new to public health, service-learning has its historical roots in undergraduate education and has been shown to enhance students' understanding of course relevance, change student and faculty attitudes, encourage support for community initiatives, and increase student and faculty volunteerism. Grounded in collaborative relationships, service-learning grows from authentic partnerships between communities and educational institutions. Through emphasizing reciprocal learning and reflective practice, service-learning helps students develop skills needed to be effective in working with communities and ultimately achieve social change. With public health's enduring focus on social justice, introducing undergraduate students to public health through the vehicle of service-learning as part of introductory public health core courses or public health electives will help ensure that our young people are able to contribute to developing healthy communities, thus achieving the IOM's vision.
Yu, Lu; Shek, Daniel T. L.; Zhu, Xiaoqin
2018-01-01
The current study examined the relationship between students' personal well-being and their learning achievement during university study, and whether such relationship would be mediated or moderated by university engagement. A total of 434 university students from one public university in Hong Kong participated in the study. The participants completed an online survey consisting of personal well-being (cognitive behavioral competence and general positive youth development), university engagement, and learning achievement measures (personal growth, and accumulated GPA as academic achievement) at four time points with a 1-year interval. Results showed that personal well-being measured at the beginning of university study positively predicted students' personal growth and academic achievement after 3 years' study. While the internal dimensions of university engagement (academic challenge and learning with peers) showed longitudinal significant mediational effect, the external dimensions (experience with faculty and campus environment) did not have significant longitudinal moderating effect. Nevertheless, external dimensions of student engagement also showed direct effect on personal growth and academic achievement. The long-standing positive effects of personal well-being on university engagement and subsequently, learning achievement during university years call for more attention to the promotion of holistic development among university students in Hong Kong. PMID:29375421
Frontal Alpha Oscillations and Attentional Control: A Virtual Reality Neurofeedback Study.
Berger, Anna M; Davelaar, Eddy J
2018-05-15
Two competing views about alpha oscillations suggest that cortical alpha reflect either cortical inactivity or cortical processing efficiency. We investigated the role of alpha oscillations in attentional control, as measured with a Stroop task. We used neurofeedback to train 22 participants to increase their level of alpha amplitude. Based on the conflict/control loop theory, we selected to train prefrontal alpha and focus on the Gratton effect as an index of deployment of attentional control. We expected an increase or a decrease in the Gratton effect with increase in neural learning depending on whether frontal alpha oscillations reflect cortical idling or enhanced processing efficiency, respectively. In order to induce variability in neural learning beyond natural occurring individual differences, we provided half of the participants with feedback on alpha amplitude in a 3-dimensional (3D) virtual reality environment and the other half received feedback in a 2D environment. Our results showed variable neural learning rates, with larger rates in the 3D compared to the 2D group, corroborating prior evidence of individual differences in EEG-based learning and the influence of a virtual environment. Regression analyses revealed a significant association between the learning rate and changes on deployment of attentional control, with larger learning rates being associated with larger decreases in the Gratton effect. This association was not modulated by feedback medium. The study supports the view of frontal alpha oscillations being associated with efficient neurocognitive processing and demonstrates the utility of neurofeedback training in addressing theoretical questions in the non-neurofeedback literature. Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.
Teacher Evaluation and Student Achievement. Student Assessment Series.
ERIC Educational Resources Information Center
Stronge, James H.; Tucker, Pamela D.
This book discusses four approaches to incorporating student achievement in teacher evaluation. Seven chapters discuss: (1) "Teacher Evaluation and Student Achievement: An Introduction to the Issues"; (2) "What is the Relationship between Teaching and Learning?" (e.g., whether teachers are responsible for student learning and…
Good Schools: What Research Says about Improving Student Achievement.
ERIC Educational Resources Information Center
Hawley, Willis D.; And Others
1985-01-01
This journal, presented in monograph form, reviews research findings in order to identify elements that influence student academic achievement. Sections focus on effective teaching, effect of school leadership on achievement, schoolwide learning environment, learning resources, and parent involvement. An extensive bibliography is included. (DF)
Learning Motivation from a Cross-Cultural Perspective: A Moving Target?
ERIC Educational Resources Information Center
Täht, Karin; Must, Olev; Peets, Kätlin; Kattel, Rainer
2014-01-01
This paper investigates the relationship between educational achievement and the motivation to learn. We used the 2006 Programme for International Student Assessment (PISA) that contains representative samples from 55 nations. A strong negative correlation between educational achievement and motivation toward science learning emerged at the…
Exposition: Reading, Writing, and the Metacognitive Knowledge of Learning Disabled Students.
ERIC Educational Resources Information Center
Englert, Carol Sue; And Others
1989-01-01
Compared to 92 low-achieving and high-achieving students, 46 intermediate grade learning-disabled students wrote compositions, wrote summaries, and produced comprehension recalls that were less organized and contained fewer ideas. Interviews indicated that learning-disabled students possessed less knowledge about processes related to…
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…
Engineering Ferroic and Multiferroic Materials for Active Cooling Applications
2014-02-11
large strain gradients (>105 m-1) – nearly 5-6 orders of magnitude larger than what can be achieved in bulk-versions of materials. These large strain...larger than what can be achieved in bulk-versions of materials. These large strain gradients gave rise to unexpected crystal and domain structure...parameters that are more favorable for generating a compressively strained variety of the Zr-rich phases. In this case, akin to what has been
Montecinos, P; Rodewald, A M
1994-06-01
The aim this work was to assess and compare the achievements of medical students, subjected to problem based learning methodology. The information and comprehension categories of Bloom were tested in 17 medical students in four different occasions during the physiopathology course, using a multiple choice knowledge test. There was a significant improvement in the number of correct answers towards the end of the course. It is concluded that these medical students obtained adequate learning achievements in the information subcategory of Bloom using problem based learning methodology, during the physiopathology course.
The effect of inquiry-flipped classroom model toward students' achievement on chemical reaction rate
NASA Astrophysics Data System (ADS)
Paristiowati, Maria; Fitriani, Ella; Aldi, Nurul Hanifah
2017-08-01
The aim of this research is to find out the effect of Inquiry-Flipped Classroom Models toward Students' Achievement on Chemical Reaction Rate topic. This study was conducted at SMA Negeri 3 Tangerang in Eleventh Graders. The Quasi Experimental Method with Non-equivalent Control Group design was implemented in this study. 72 students as the sample was selected by purposive sampling. Students in experimental group were learned through inquiry-flipped classroom model. Meanwhile, in control group, students were learned through guided inquiry learning model. Based on the data analysis, it can be seen that there is significant difference in the result of the average achievement of the students. The average achievement of the students in inquiry-flipped classroom model was 83,44 and the average achievement of the students in guided inquiry learning model was 74,06. It can be concluded that the students' achievement with inquiry-flipped classroom better than guided inquiry. The difference of students' achievement were significant through t-test which is tobs 3.056 > ttable 1.994 (α = 0.005).
Miami's Third Sector Alliance for Community Well-being.
Evans, Scotney D; Raymond, Catherine; Levine, Daniella
2014-01-01
Traditional capacity-building approaches tend to be organizationally focused ignoring the fact that community-based organizations learn and take action in a larger network working to promote positive community change. The specific aim of this paper was to outline a vision for a Third Sector Alliance to build organizational, network, and sector capacity for community well-being in Miami. Building a foundation for social impact requires a strategy for organizational, network, and sector capacity building. Organizational, network, and sector capacity building can best be achieved through a cooperative network approach driven by a solid community-university partnership. Although a Third Sector Alliance for Community Well-being does not yet exist in Miami, Catalyst Miami and the University of Miami (UM) have partnered closely to articulate a vision of what could be and have been working to make that vision a reality.
Education strategies to foster health professional students' clinical reasoning skills.
Rochmawati, Erna; Wiechula, Rick
2010-06-01
Clinical reasoning is an important skill for health professionals that should be developed to achieve high levels of expertise. Several education strategies have been suggested for implementation by health professional educators to foster their students' clinical reasoning skills. The strategies have included the following: problem-based learning, the integrative curriculum, reflection, and concept mapping. This review assesses which is the most effective education strategy for developing the clinical reasoning skills of health professional students. Four publications, from a total of 692 identified records, were included. Overall, this review was not able to make a final conclusion to answer the question. Therefore, there is a need to conduct more studies with larger samples and to undertake research that evaluates the following aspects: more alternate education interventions, variations in the delivery of education interventions, and the cost-effectiveness of implementing education strategies.
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, accounting for roughly one-third of the variance. The basic skills assessments and self-regulated learning were not significant predictors. English and reading assessments were more highly significant predictors in the biology than in the physical science groups, while math assessment was not related to science achievement.
Economies of Scale and Scope in E-Learning
ERIC Educational Resources Information Center
Morris, David
2008-01-01
Economies of scale are often cited in the higher education literature as being one of the drivers for the deployment of e-learning. They are variously used to support the notions that higher education is becoming more global, that national policy towards e-learning should promote scale efficiencies, that larger institutions will be better able to…
ERIC Educational Resources Information Center
Veloso, Luísa; Marques, Joana S.
2017-01-01
This article on secondary schools science laboratories in Portugal focuses on how school space functions as a pedagogical and political instrument by contributing to shape the conditions for teaching and learning dynamics. The article places the impact of changes to school layouts within the larger context of a public school renovation programme,…
Evaluating QR Code Case Studies Using a Mobile Learning Framework
ERIC Educational Resources Information Center
Rikala, Jenni
2014-01-01
The aim of this study was to evaluate the feasibility of Quick Response (QR) codes and mobile devices in the context of Finnish basic education. The feasibility was analyzed through a mobile learning framework, which includes the core characteristics of mobile learning. The study is part of a larger research where the aim is to develop a…
Web-Based Learning Materials for Higher Education: The MERLOT Repository
ERIC Educational Resources Information Center
Orhun, Emrah
2004-01-01
MERLOT (Multimedia Educational Resource for Learning and Online Teaching) is a web-based open resource designed primarily for faculty and students in higher education. The resources in MERLOT include over 8,000 learning materials and support materials from a wide variety of disciplines that can be integrated within the context of a larger course.…
Theories for Deep Change in Affect-sensitive Cognitive Machines: A Constructivist Model.
ERIC Educational Resources Information Center
Kort, Barry; Reilly, Rob
2002-01-01
There is an interplay between emotions and learning, but this interaction is far more complex than previous learning theories have articulated. This article proffers a novel model by which to regard the interplay of emotions upon learning and discusses the larger practical aim of crafting computer-based models that will recognize a learner's…
Flipped Learning With Simulation in Undergraduate Nursing Education.
Kim, HeaRan; Jang, YounKyoung
2017-06-01
Flipped learning has proliferated in various educational environments. This study aimed to verify the effects of flipped learning on the academic achievement, teamwork skills, and satisfaction levels of undergraduate nursing students. For the flipped learning group, simulation-based education via the flipped learning method was provided, whereas traditional, simulation-based education was provided for the control group. After completion of the program, academic achievement, teamwork skills, and satisfaction levels were assessed and analyzed. The flipped learning group received higher scores on academic achievement, teamwork skills, and satisfaction levels than the control group, including the areas of content knowledge and clinical nursing practice competency. In addition, this difference gradually increased between the two groups throughout the trial. The results of this study demonstrated the positive, statistically significant effects of the flipped learning method on simulation-based nursing education. [J Nurs Educ. 2017;56(6):329-336.]. Copyright 2017, SLACK Incorporated.
ERIC Educational Resources Information Center
TR, Burhanuddin; Ruswan, Acep; Kasmad, Mamad
2016-01-01
Learning is an effort or activities that are intentional and are based on an issue. Learning is a process of change in behavior and a way of fulfilling individual needs. People who have learned to be in the habit that is displayed in his behavior. In the study Differences of Learning Achievement Between Bidikmisi Scholarship Students and The…
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.
Relationship between the learning style preferences of medical students and academic achievement
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
Relationship between the learning style preferences of medical students and academic achievement.
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.
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 their lessons. For the creation of such a learning environment, teachers can design open-ended inquiry activities in which students have opportunities to take responsibility, reflect on their views, and accomplish challenging tasks.
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…
Efficacy of Student Mentoring and Motivation in Learning Division of Mathematics
ERIC Educational Resources Information Center
Singaravelu, G.; Ramaswamy, Sangeetha
2006-01-01
Learners at primary level had learning impediments in divisions of mathematics, which was eliminated by a student mentor's kind approach, conducive motivation, spot guidance, friendly facilitation and guidance to achieve required competency. Hence the student mentor can motivate the learners to achieve the expected learning outcomes in stipulated…
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…
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…
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"…
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:…
Telling the Whole Story: Assessing Achievement in English.
ERIC Educational Resources Information Center
McGregor, Robert; Meiers, Marion
This book presents a responsive approach to assessment which recognizes and describes students' development, learning and achievement in English. It describes a model for English teaching built on the kinds of contexts, activities, and experiences which most effectively promote the learning of language, learning through language, and learning…
Comparing Teacher Dispositions in China and the USA
ERIC Educational Resources Information Center
Shao, Kun; Tamashiro, Roy
2013-01-01
In studies conducted in the USA, teacher dispositional factors such as enthusiasm, professional esteem and learning motivation often emerge as the most significant variables affecting student learning and achievement from the primary grades through higher education. Do these factors play as significant a role in student learning and achievement in…
A Critical Analysis of Job-Embedded Professional Learning within a Distributed Leadership Framework
ERIC Educational Resources Information Center
Campoli, Ashley Jimerson
2011-01-01
Leadership style and professional learning have been linked to student achievement. Studies have linked leadership styles such as distributed leadership to job-embedded professional learning. However, research is mixed when these two constructs are related to student achievement. This study evaluated the relationship between distributed…
Mastery Goal Orientation, Hope, and Effort among Students with Learning Disabilities
ERIC Educational Resources Information Center
Sapio, Melissa
2010-01-01
Student hope and effort are often considered by educators to be important factors related to learning and achievement. Yet few studies have been conducted to understand the relation between these constructs and achievement motivation, particularly within the academically vulnerable population of students with learning disabilities (LD). The…
ERIC Educational Resources Information Center
Eissa, Mourad Ali; Mostafa, Amaal Ahmed
2013-01-01
This study investigated the effect of using differentiated instruction by integrating multiple intelligences and learning styles on solving problems, achievement in, and attitudes towards math in six graders with learning disabilities in cooperative groups. A total of 60 students identified with LD were invited to participate. The sample was…
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…
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…
ERIC Educational Resources Information Center
Barrus, Angela
2013-01-01
This study empirically evaluated the effectiveness of the instructional design, learning tools, and role of the teacher in three versions of a semester-long, high-school remedial Algebra I course to determine what impact self-regulated learning skills and learning pattern training have on students' self-regulation, math achievement, and…
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.
A Model of Statistics Performance Based on Achievement Goal Theory.
ERIC Educational Resources Information Center
Bandalos, Deborah L.; Finney, Sara J.; Geske, Jenenne A.
2003-01-01
Tests a model of statistics performance based on achievement goal theory. Both learning and performance goals affected achievement indirectly through study strategies, self-efficacy, and test anxiety. Implications of these findings for teaching and learning statistics are discussed. (Contains 47 references, 3 tables, 3 figures, and 1 appendix.)…
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…
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)
Dissociable effects of surprising rewards on learning and memory.
Rouhani, Nina; Norman, Kenneth A; Niv, Yael
2018-03-19
Reward-prediction errors track the extent to which rewards deviate from expectations, and aid in learning. How do such errors in prediction interact with memory for the rewarding episode? Existing findings point to both cooperative and competitive interactions between learning and memory mechanisms. Here, we investigated whether learning about rewards in a high-risk context, with frequent, large prediction errors, would give rise to higher fidelity memory traces for rewarding events than learning in a low-risk context. Experiment 1 showed that recognition was better for items associated with larger absolute prediction errors during reward learning. Larger prediction errors also led to higher rates of learning about rewards. Interestingly we did not find a relationship between learning rate for reward and recognition-memory accuracy for items, suggesting that these two effects of prediction errors were caused by separate underlying mechanisms. In Experiment 2, we replicated these results with a longer task that posed stronger memory demands and allowed for more learning. We also showed improved source and sequence memory for items within the high-risk context. In Experiment 3, we controlled for the difficulty of reward learning in the risk environments, again replicating the previous results. Moreover, this control revealed that the high-risk context enhanced item-recognition memory beyond the effect of prediction errors. In summary, our results show that prediction errors boost both episodic item memory and incremental reward learning, but the two effects are likely mediated by distinct underlying systems. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
The effect of teaching based on dominant learning style on nursing students' academic achievement.
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.
Intrinsic motivation, extrinsic motivation, and learning English as a foreign language.
Shaikholeslami, Razieh; Khayyer, Mohammad
2006-12-01
The objective of this study was to examine the relationships of amotivation, extrinsic motivation, and intrinsic motivation with learning the English language. The 230 Iranian students at Shiraz University were tested using the Language Learning Orientations Scales to measure Amotivation, Extrinsic Motivation, and Intrinsic Motivation as explanatory variables. Grade point average in English exams was selected as a measure of English learning Achievement. Multiple regression analysis revealed that learning Achievement scores were predicted by scores on the Amotivation subscale, Introjected Regulation subscale, Knowledge subscale, and Stimulation subscale, whereas, the External and Identified Regulation and Accomplishment subscales did not have a significant relationship with Achievement. The results are discussed in terms of differences in Iranian context and culture.
Learning from ISS-modular adaptive NN control of nonlinear strict-feedback systems.
Wang, Cong; Wang, Min; Liu, Tengfei; Hill, David J
2012-10-01
This paper studies learning from adaptive neural control (ANC) for a class of nonlinear strict-feedback systems with unknown affine terms. To achieve the purpose of learning, a simple input-to-state stability (ISS) modular ANC method is first presented to ensure the boundedness of all the signals in the closed-loop system and the convergence of tracking errors in finite time. Subsequently, it is proven that learning with the proposed stable ISS-modular ANC can be achieved. The cascade structure and unknown affine terms of the considered systems make it very difficult to achieve learning using existing methods. To overcome these difficulties, the stable closed-loop system in the control process is decomposed into a series of linear time-varying (LTV) perturbed subsystems with the appropriate state transformation. Using a recursive design, the partial persistent excitation condition for the radial basis function neural network (NN) is established, which guarantees exponential stability of LTV perturbed subsystems. Consequently, accurate approximation of the closed-loop system dynamics is achieved in a local region along recurrent orbits of closed-loop signals, and learning is implemented during a closed-loop feedback control process. The learned knowledge is reused to achieve stability and an improved performance, thereby avoiding the tremendous repeated training process of NNs. Simulation studies are given to demonstrate the effectiveness of the proposed method.
Diuguid-Gerber, Jillian; Porter, Samuel; Quiah, Samuel C.; Nickerson, Katherine; Jones, Deborah; Audi, Zeena; Richards, Boyd F.
2017-01-01
ABSTRACT Background: Many medical schools have adopted the longitudinal integrated clerkship (LIC) model in response to calls for increased continuity in clinical learning environments. However, because of implementation challenges, such programs are not feasible at some institutions or are limited to a small number of students. Objective: In January 2014, Columbia University College of Physicians and Surgeons (P&S) recognized the need to explore different LIC formats and began offering four, 12-week amalgamative clerkships (AC). Students within this curricular track experienced primary care, internal medicine ‘away’, orthopedic surgery, urology, and an elective in an integrated format. Design: P&S developed the AC in partnership with the James J. Peters VA Medical Center in Bronx, NY (BVA). All patient care and educational conferences took place at the BVA during the 12-week experience. The learning objectives of the AC were aligned to the learning objectives of a 52-week LIC also offered at Columbia. An evaluation process was developed to determine student learning experiences and preliminary outcomes, including how well the LIC-related objectives could be achieved in a shorter period of time. Results: In 2015, P&S collected AC evaluation data through three student feedback sessions. Students reported that the AC provided opportunity for patient continuity, patient-centered care approaches, meaningful roles for students, career development opportunities, and health systems awareness. Conclusions: Early outcomes indicate that the BVA AC provides a degree of longitudinality that can influence student perceptions of patient care, career development, and health systems, consistent with the larger LIC. The team continues to gather additional data on students’ experiences and investigate additional sites that have potential to serve as future AC learning environments. PMID:28317473
Learning Environment, Preparedness and Satisfaction in Osteopathy in Europe: The PreSS Study
Luciani, Emanuele; van Dun, Patrick L. S.; Esteves, Jorge Eduardo; Lunghi, Christian; Petracca, Marco; Papa, Liria; Merdy, Olivier; Jäkel, Anne; Cerritelli, Francesco
2015-01-01
Objective 1) to assess the preparedness to practice and satisfaction in learning environment amongst new graduates from European osteopathic institutions; 2) to compare the results of preparedness to practice and satisfaction in learning environment between and within countries where osteopathy is regulated and where regulation is still to be achieved; 3) to identify possible correlations between learning environment and preparedness to practice. Method Osteopathic education providers of full-time education located in Europe were enrolled, and their final year students were contacted to complete a survey. Measures used were: Dundee Ready Educational Environment Measure (DREEM), the Association of American Medical Colleges (AAMC) and a demographic questionnaire. Scores were compared across institutions using one-way ANOVA and generalised linear model. Results Nine European osteopathic education institutions participated in the study (4 located in Italy, 2 in the UK, 1 in France, 1 in Belgium and 1 in the Netherlands) and 243 (77%) of their final-year students completed the survey. The DREEM total score mean was 121.4 (SEM: 1.66) whilst the AAMC was 17.58 (SEM:0.35). A generalised linear model found a significant association between not-regulated countries and total score as well as subscales DREEM scores (p<0.001). Learning environment and preparedness to practice were significantly positively correlated (r=0.76; p<0.01). Discussion A perceived higher level of preparedness and satisfaction was found amongst students from osteopathic institutions located in countries without regulation compared to those located in countries where osteopathy is regulated; however, all institutions obtained a ‘more positive than negative’ result. Moreover, in general, cohorts with fewer than 20 students scored significantly higher compared to larger student cohorts. Finally, an overall positive correlation between students’ preparedness and satisfaction were found across all institutions recruited. PMID:26103514
Learning Environment, Preparedness and Satisfaction in Osteopathy in Europe: The PreSS Study.
Luciani, Emanuele; van Dun, Patrick L S; Esteves, Jorge Eduardo; Lunghi, Christian; Petracca, Marco; Papa, Liria; Merdy, Olivier; Jäkel, Anne; Cerritelli, Francesco
2015-01-01
1) to assess the preparedness to practice and satisfaction in learning environment amongst new graduates from European osteopathic institutions; 2) to compare the results of preparedness to practice and satisfaction in learning environment between and within countries where osteopathy is regulated and where regulation is still to be achieved; 3) to identify possible correlations between learning environment and preparedness to practice. Osteopathic education providers of full-time education located in Europe were enrolled, and their final year students were contacted to complete a survey. Measures used were: Dundee Ready Educational Environment Measure (DREEM), the Association of American Medical Colleges (AAMC) and a demographic questionnaire. Scores were compared across institutions using one-way ANOVA and generalised linear model. Nine European osteopathic education institutions participated in the study (4 located in Italy, 2 in the UK, 1 in France, 1 in Belgium and 1 in the Netherlands) and 243 (77%) of their final-year students completed the survey. The DREEM total score mean was 121.4 (SEM: 1.66) whilst the AAMC was 17.58 (SEM:0.35). A generalised linear model found a significant association between not-regulated countries and total score as well as subscales DREEM scores (p<0.001). Learning environment and preparedness to practice were significantly positively correlated (r=0.76; p<0.01). A perceived higher level of preparedness and satisfaction was found amongst students from osteopathic institutions located in countries without regulation compared to those located in countries where osteopathy is regulated; however, all institutions obtained a 'more positive than negative' result. Moreover, in general, cohorts with fewer than 20 students scored significantly higher compared to larger student cohorts. Finally, an overall positive correlation between students' preparedness and satisfaction were found across all institutions recruited.
Integrating Ultrasound Teaching into Preclinical Problem-based Learning
Tshibwabwa, Eli Tumba; Cannon, Jenifer; Rice, James; Kawooya, Michael G; Sanii, Reza; Mallin, Robert
2016-01-01
Objectives: The aim is to provide students in the preclinical with ultrasound image interpretation skills. Research question: Are students in smaller groups with access to a combination of lectures and hands-on patient contact most likely to have better ultrasound image interpretation skills, than students in larger groups with only interactive didactic lectures? Methodology: First-year students at the preclinical Program of the College of Medicine, participated in two 2-h introductory interactive ultrasound sessions. The study comprised two cohorts: 2012/2013 students, who were offered large group teaching (LGT) sessions (control group), and 2013/2014 students, who received the intervention in small group learning problem-based learning (PBL) sessions (experimental group). The overall learning objectives were identical for both groups. The success of the module was evaluated using pre- and post-tests as well as students’ feedback. Results: The students in the experimental group showed significantly higher scores in interpretations of images than those in the control group. The experimental group showed achievement of learning outcomes along with higher levels of satisfaction with the module compared to the latter. Conclusion: Posttest knowledge of the basics of ultrasound improved significantly over the pretest in the experimental group. In addition, students’ overall satisfaction of the ultrasound module was shown to be higher for the PBL compared to the LGT groups. Small groups in an interactive and PBL setting along with opportunities for hands-on practice and simultaneous visualization of findings on a high definition screen should enhance preclinical student learning of the basics of ultrasound. Despite the potential of ultrasound as a clinical, teaching and learning tool for students in the preclinical years, standardized recommendations have yet to be created regarding its integration into the curricula within academic institutions and clinical medicine. The interactive and PBL is here to stay at the college of medicine. Further research would be carried out to see if this trend persists in the upcoming vertical system-based curriculum of the college of medicine. PMID:27833780
Grouping students for instruction: effects of learning style on achievement and attitudes.
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.
Alkhateeb, Haitham M; Nasser, Ramzi
2014-06-01
413 (119 men, 294 women) undergraduate university students in Qatar completed an Arabic version of the Learning and Study Strategies Inventory (LASSI) measuring Anxiety, Attitude, Concentration, Information Processing, Motivation, Self-testing, Selecting Main Ideas, Study Aids, Time Management, and Test Strategies. The students' learning and study strategies scores were similar to those reported in the literature. Factor analysis indicated the same general factors as in the original study. Internal consistency estimates ranged from .62 to .88. Nine of the 10 scales (i.e., all with the exception of the Study Aids) significantly correlated with students' GPAs. Scores obtained from these scales provide valid assessments of Qatar University students' use of learning and study strategies related to skill, will, and self-regulation components of strategic learning and also academic achievement. There also were statistically significant differences between higher and lower achieving students in their learning and study strategies. This study also explored the use of the LASSI as a predictive measure of academic achievement. Anxiety and test strategies were significant predictors of academic achievement as measured by students' GPA.
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.
2005-01-01
the environmental, cultural, and infrastructure changes in health care that will be necessary to achieve significant, widespread patient safety...to improved patient outcomes. Achievement of improved patient safety requires enhanced health care leadership commitment and learning systems that... health care organizations and practitioners to work together to identify and solve patient safety problems. Providing safe care requires a learning
ERIC Educational Resources Information Center
Davidson, Jenna L.
2017-01-01
This quantitative study examined levels of achievement in learning outcomes when using a face-to-face dissection lab compared to an online dissection lab. Constructivist theory and Understanding by Design learning framework were at the core of this research study design. Data was collected from 24 health science students at a private Midwestern…
ERIC Educational Resources Information Center
Munawaroh
2017-01-01
This research aims to explain the influence of teacher's teaching methods and learning environment to the learning achievement in class XI with the competency of accounting expertise to the subjects of craft and entrepreneurship, according to the students, the subject was very heavy and dull. The population in this research are students in class…
Investigating the Syllabus as a Defining Document
ERIC Educational Resources Information Center
Bowers-Campbell, Joy
2015-01-01
The following study is part of a larger study exploring reading identity in students who were placed into a mandatory developmental reading class because of low scores on college placement exams. Sociocultural theories of learning framed the qualitative study. Although the larger study addressed two overarching questions related to reading…
The Influence of Bilingualism on Third Language Acquisition: Focus on Multilingualism
ERIC Educational Resources Information Center
Cenoz, Jasone
2013-01-01
This paper focuses on the advantages that bilinguals have over monolinguals when acquiring an additional language. Bilinguals are more experienced language learners and have potentially developed learning strategies to a larger extent than monolinguals. They also have a larger linguistic and intercultural repertoire at their disposal. In this…
Security Engineering Lessons Learned for Migrating Independent LANs to an Enterprise Environment
ERIC Educational Resources Information Center
Marchant, Robert L.; Bonneau, Thomas
2013-01-01
Transition from small, independent LANs into larger enterprise managed infrastructures is becoming more prominent in academia, business and government. Consolidation of IT resources into larger, more disciplined, and more professionally managed environments has significant advantages however they do bring their own unique issues to solve in order…
Wood, Lesley; Webb, Paul
2008-05-01
Despite various HIV and AIDS training programmes offered for educators by the South African Department of Education, little has been achieved at the level of management in terms of creating a wider understanding of the social and cultural complexities of the condition and its impact on the quality of teaching and learning. Specifically, there is a lack of developmental programmes to help school principals provide leadership that can ensure that teachers and children who live in a context affected by the disease will still find themselves in a school environment of quality, care and compassion. With this in mind, we conducted a qualitative research enquiry among a sample of 12 school principals in the Eastern Cape Province in order to discover their perceptions about the impacts of HIV and AIDS on their schools and to learn how they have responded to the corresponding challenges. Our intention was to use the findings primarily to inform the development of an academic programme and short courses to empower school principals and leadership in this regard, but the findings may also be relevant as a guide for research on a larger scale.
NASA Astrophysics Data System (ADS)
Stavrova, Olga; Urhahne, Detlef
2010-11-01
The study examines the nature, conditions, and outcomes of student learning from an organised guided tour in the Deutsches Museum in Munich. The instructional methods that best support students' cognitive and affective learning as well as how students' motivational and emotional states influence their achievement were investigated. A sample of 96 secondary school students took part in two different versions of a guided tour on an energy topic. The tours varied in the degree of support of students' active involvement, group work, and the variety of general activities offered during the tour. The data collected indicate that both tour versions led to an increase in student understanding of the visit topic to nearly the same extent. However, the version stimulating students' active participation, group work, and including a larger variety of activities aroused more positive attitudes. Students of the modified school programme showed higher interest and intrinsic motivation, felt more competent, and were less bored after the guided tour. In addition, the results suggest that students' visit-related emotional states predict the degree of their post-visit topic understanding, even when demographics and prior knowledge are taken into consideration.
Achieving Operability via the Mission System Paradigm
NASA Technical Reports Server (NTRS)
Hammer, Fred J.; Kahr, Joseph R.
2006-01-01
In the past, flight and ground systems have been developed largely-independently, with the flight system taking the lead, and dominating the development process. Operability issues have been addressed poorly in planning, requirements, design, I&T, and system-contracting activities. In many cases, as documented in lessons-learned, this has resulted in significant avoidable increases in cost and risk. With complex missions and systems, operability is being recognized as an important end-to-end design issue. Never-the-less, lessons-learned and operability concepts remain, in many cases, poorly understood and sporadically applied. A key to effective application of operability concepts is adopting a 'mission system' paradigm. In this paradigm, flight and ground systems are treated, from an engineering and management perspective, as inter-related elements of a larger mission system. The mission system consists of flight hardware, flight software, telecom services, ground data system, testbeds, flight teams, science teams, flight operations processes, procedures, and facilities. The system is designed in functional layers, which span flight and ground. It is designed in response to project-level requirements, mission design and an operations concept, and is developed incrementally, with early and frequent integration of flight and ground components.
The impact of early bilingualism on controlling a language learned late: an ERP study
Martin, Clara D.; Strijkers, Kristof; Santesteban, Mikel; Escera, Carles; Hartsuiker, Robert J.; Costa, Albert
2013-01-01
This study asks whether early bilingual speakers who have already developed a language control mechanism to handle two languages control a dominant and a late acquired language in the same way as late bilingual speakers. We therefore, compared event-related potentials in a language switching task in two groups of participants switching between a dominant (L1) and a weak late acquired language (L3). Early bilingual late learners of an L3 showed a different ERP pattern (larger N2 mean amplitude) as late bilingual late learners of an L3. Even though the relative strength of languages was similar in both groups (a dominant and a weak late acquired language), they controlled their language output in a different manner. Moreover, the N2 was similar in two groups of early bilinguals tested in languages of different strength. We conclude that early bilingual learners of an L3 do not control languages in the same way as late bilingual L3 learners –who have not achieved native-like proficiency in their L2– do. This difference might explain some of the advantages early bilinguals have when learning new languages. PMID:24204355
Density control in ITER: an iterative learning control and robust control approach
NASA Astrophysics Data System (ADS)
Ravensbergen, T.; de Vries, P. C.; Felici, F.; Blanken, T. C.; Nouailletas, R.; Zabeo, L.
2018-01-01
Plasma density control for next generation tokamaks, such as ITER, is challenging because of multiple reasons. The response of the usual gas valve actuators in future, larger fusion devices, might be too slow for feedback control. Both pellet fuelling and the use of feedforward-based control may help to solve this problem. Also, tight density limits arise during ramp-up, due to operational limits related to divertor detachment and radiative collapses. As the number of shots available for controller tuning will be limited in ITER, in this paper, iterative learning control (ILC) is proposed to determine optimal feedforward actuator inputs based on tracking errors, obtained in previous shots. This control method can take the actuator and density limits into account and can deal with large actuator delays. However, a purely feedforward-based density control may not be sufficient due to the presence of disturbances and shot-to-shot differences. Therefore, robust control synthesis is used to construct a robustly stabilizing feedback controller. In simulations, it is shown that this combined controller strategy is able to achieve good tracking performance in the presence of shot-to-shot differences, tight constraints, and model mismatches.
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…
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…
Group Investigation as a Cooperative Learning Strategy: An Integrated Analysis of the Literature
ERIC Educational Resources Information Center
Mitchell, Mitzi G.; Montgomery, Hilary; Holder, Michelle; Stuart, Dan
2008-01-01
The cooperative learning strategy of group investigation has been used extensively in elementary and high school classrooms. Whereas this learning strategy seems to benefit low- and middle-achieving students, the performance of high-achieving students seems to change little. This article examines the literature on group investigation as a…
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…
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…
ERIC Educational Resources Information Center
Dent, Amy L.; Koenka, Alison C.
2016-01-01
This research synthesis explores how academic achievement relates to two main components of self-regulated learning for students in elementary and secondary school. Two meta-analyses integrated previous findings on (1) the defining metacognitive processes of self-regulated learning and (2) students' use of cognitive strategies. Overall…
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…
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…
Relationship between Learning Strategies and Goal Orientations: A Multilevel Analysis
ERIC Educational Resources Information Center
Kadioglu, Cansel; Uzuntiryaki-Kondakci, Esen
2014-01-01
Problem Statement: Motivation plays an important role in explaining students' academic achievement. In an effort to explain students' purposes for learning and the reasons they engage in a learning activity, different achievement goal models (dichotomous, trichotomous, and 2x2) have been proposed over time. The present study aimed to extend…
What the Student Does: Teaching for Enhanced Learning.
ERIC Educational Resources Information Center
Biggs, John
1999-01-01
The college teacher's job is to organize the teaching/learning context so all students use the higher-order learning processes that "academic" students always use. This is achieved when objectives express the kind of understanding targeted, teaching context encourages students to achieve it, and assessment tells students what is required of them…
Breaking the Discrepancy Code: A Meta-Analysis of the Specific Learning Disability Literature
ERIC Educational Resources Information Center
Bachmeier, Randy J.
2009-01-01
Previous "selective" meta-analyses of the literature relating to the IQ-achievement discrepancy model of specific learning disability identification have concluded that "underachieving" and "low-achieving" poor readers do not differ in any educationally meaningful way. Underachievers are those poor readers who qualify as learning disabled using an…
A Framework for Credit. Framework Guidelines 2. Learning Outcomes, Units and Modules.
ERIC Educational Resources Information Center
Further Education Development Agency, London (England).
This document refines and develops a 1992 proposal by Great Britain's Further Education Unit (FEU) that all kinds of student achievement be documented within a common framework involving the following procedures: describing adult learners' achievements in terms of learning outcomes; grouping the learning outcomes into coherent units; defining the…
ERIC Educational Resources Information Center
Sebastian, James; Allensworth, Elaine
2012-01-01
Purpose: This study examines the influence of principal leadership in high schools on classroom instruction and student achievement through key organizational factors, including professional capacity, parent-community ties, and the school's learning climate. It identifies paths through which leadership explains differences in achievement and…
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.…
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…
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…
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…
To Succeed or Not to Succeed: A Critical Review of Issues in Learned Helplessness.
ERIC Educational Resources Information Center
Mark, Sandra Fay
1983-01-01
A critical analysis of theoretical and methodological issues in research on learned helplessness is presented. As studied in achievement settings using achievement tasks, learned helplessness is perceived as maladaptive behavior. It has not been studied as an adaptive response to situational demands. New directions and educational implications are…
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…
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…
ERIC Educational Resources Information Center
Beesley, Andrea; Clark, Tedra; Barker, Jane; Germeroth, Carrie; Apthorp, Helen
2010-01-01
Background: Expeditionary Learning Schools opens and transforms K-12 schools. Through engaging, long-term interdisciplinary projects designed to achieve academic standards and an emphasis on a healthy school culture, Expeditionary Learning aims to develop students who are not only high-achieving but also highly motivated to do challenging…
NASA Astrophysics Data System (ADS)
Mayasari, F.; Raharjo; Supardi, Z. A. I.
2018-01-01
This research aims to develop the material eligibility to complete the inquiry learning of student in the material organization system of junior high school students. Learning materials developed include syllabi, lesson plans, students’ textbook, worksheets, and learning achievement test. This research is the developmental research which employ Dick and Carey model to develop learning material. The experiment was done in Junior High School 4 Lamongan regency using One Group Pretest-Posttest Design. The data collection used validation, observation, achievement test, questionnaire administration, and documentation. Data analysis techniques used quantitative and qualitative descriptive.The results showed that the developed learning material was valid and can be used. Learning activity accomplished with good category, where student activities were observed. The aspects of attitudes were observed during the learning process are honest, responsible, and confident. Student learning achievement gained an average of 81, 85 in complete category, with N-Gain 0, 75 for a high category. The activities and student response to learning was very well categorized. Based on the results, this researcher concluded that the device classified as feasible of inquiry-based learning (valid, practical, and effective) system used on the material organization of junior high school students.
Gabriele, Anthony J
2007-03-01
Previous research on small-group learning has found that level of constructive activity (solving or explaining how to solve problems using ideas stated or implied in the explanation provided by a partner) was a better predictor of post-test achievement than either a student's prior achievement or the quality of help received (Webb, Troper, & Fall, 1995). The purpose of this study was to extend this research by examining the influence of additional factors, in particular, achievement goals and comprehension monitoring, on low achieving students' constructive activity after receiving help from a high achieving peer. Thirty-two low achieving upper elementary students from an urban school district in the mid-west of the United States were paired with high achieving partners. Videotape data from a previously reported study on peer collaboration were transcribed and reanalyzed. In that study, dyads were randomly assigned instructions designed to induce either a learning or performance goal and were videotaped as they worked together to solve a set of mathematical word problems. The following day, students were individually post-tested on problems similar to the ones worked on in pairs. Consistent with previous research, low achieving students' level of constructive activity predicted post-test performance. In addition, constructive activity was found to mediate the relationship between achievement goals and learning. However, achievement goals were not related to low achievers constructive use of help. Instead, achievement goals were related to low achievers' relative accuracy in comprehension monitoring, which in turn was related to level of constructive activity. The meaning of these results for understanding the processes by which low achievers learn from peer help and implications for classroom practice are discussed.
Learning in Large Learning Spaces: The Academic Engagement of a Diverse Group of Students
ERIC Educational Resources Information Center
Hunt, Clive
2012-01-01
Teaching larger groups of students is a growing phenomenon in HE and this brings with it its own challenges, not least for the students themselves but also for their lecturers. Demographic factors as well as the experiences that characterise us as individuals will impact upon our ability to learn. The pilot study reported here considered the…
ERIC Educational Resources Information Center
Kvalsund, Rune
2004-01-01
This article analyses and compares the learning environment in smaller and bigger rural schools by focusing on the arenas of both formal and informal learning; the lessons and the recesses between. Relational patterns are both analysed using complete network data from 19 schools in four different municipalities in four Norwegian counties and by…
ERIC Educational Resources Information Center
Hood, Nina; Littlejohn, Allison
2017-01-01
Open education resources (OER) and accompanying open education practices (OEP), are changing the education landscape. For educators to take full advantage of the opportunities OER offer they must engage in learning activities to facilitate the extension and adaption of their practice. This paper forms part of a larger study exploring how adult…
Hitting the TARGET? A Case Study of the Experiences of Teachers in Steel Mill Learning Centers.
ERIC Educational Resources Information Center
Rose, Amy D.; Jeris, Laurel; Smith, Robert
Part of a larger study on the experience of teaching in the steel mill learning environment was an inquiry focused on professional development. Teachers and coordinators were all members of the Teachers Action Research Group for Educational Technology (TARGET), a group of adult educators interested in improving learning and teaching in career…
ERIC Educational Resources Information Center
Lovvorn, Al S.; Barth, Michael M.; Morris, R. Franklin, Jr.; Timmerman, John E.
2009-01-01
Schools of all types and sizes are exploring the merits and facets of online learning approaches; but, the online delivery literature has focused on "best practices" generated primarily through the experiences of larger schools that are on the leading edge of this innovation. Small public schools, on the other hand, are faced with unique…
Blended Learning: A Mixed-Methods Study on Successful Schools and Effective Practices
ERIC Educational Resources Information Center
Mathews, Anne
2017-01-01
Blended learning is a teaching technique that utilizes face-to-face teaching and online or technology-based practice in which the learner has the ability to exert some level of control over the pace, place, path, or time of learning. Schools that employ this method of teaching often demonstrate larger gains than traditional face-to-face programs…
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.
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.
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.
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…
Integrated Classroom versus Resource Model: Academic Viability and Effectiveness.
ERIC Educational Resources Information Center
Affleck, James Q.; And Others
1988-01-01
Achievement data of elementary learning-disabled students in both an Integrated Classroom Model (ICM) and resource rooms were compared. The ICM was shown to be more cost effective than resource room programs while achieving similar results on reading, math, and language tests for learning-disabled students and on general achievement tests for…
ERIC Educational Resources Information Center
Pasque, Penny A.; Murphy, Rena
2005-01-01
Findings from this study show that living-learning (LL) programs at a research institution in the Midwest have a series of positive outcomes for both academic achievement and intellectual engagement. Controlling for past academic achievement, socioeconomic status, and demographic characteristics, LL programs are predictors, albeit small…
ERIC Educational Resources Information Center
Phan, Huy P.
2014-01-01
Existing research has yielded evidence to indicate that the expectancy-value theoretical model predicts students' learning in various achievement contexts. Achievement values and self-efficacy expectations, for example, have been found to exert positive effects on cognitive process and academic achievement outcomes. We tested a conceptual model…
Homework and Mathematics Achievement in Hong Kong: Evidence from the TIMSS 2003
ERIC Educational Resources Information Center
Zhu, Yan; Leung, Frederick Koon Shing
2012-01-01
Though it is generally believed that doing homework promotes better learning, no consensus has been achieved concerning its importance and relevance to students' achievement. The historical up-and-down status of public attitudes toward homework indicates that understanding about the role of homework in students' learning is far from comprehensive…
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…
ERIC Educational Resources Information Center
Fadlelmula, Fatma Kayan; Cakiroglu, Erdinc; Sungur, Semra
2015-01-01
This study examines the interrelationships among students' motivational beliefs (i.e. achievement goal orientations, perception of classroom goal structure, and self-efficacy), use of self-regulated learning strategies (i.e. elaboration, organization, and metacognitive self-regulation strategies), and achievement in mathematics, by proposing and…
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…
ERIC Educational Resources Information Center
Gambari, Amosa Isiaka; Yusuf, Mudasiru Olalere
2015-01-01
This study investigated the effectiveness of computer-assisted Students' Team Achievement Division (STAD) cooperative learning strategy on physics problem solving, students' achievement and retention. It also examined if the student performance would vary with gender. Purposive sampling technique was used to select two senior secondary schools…
Predictors of College Student Achievement in Undergraduate Asynchronous Web-Based Courses
ERIC Educational Resources Information Center
Bell, Paul D.
2007-01-01
This study examined the effects of self-regulated learning (SRL) and epistemological beliefs (EB) on individual learner levels of academic achievement in Web-based learning environments while holding constant the effect of computer self-efficacy, reason for taking an online course, prior college academic achievement, and parental level of…
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.
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…
ERIC Educational Resources Information Center
Hardinger, Regina Gail
2013-01-01
Many educational administrators in Georgia continue to struggle with low student academic achievement and low high school graduation rates. DuFour's professional learning community (PLC) theory suggests a positive relationship between levels of PLC implementation and academic achievement and between levels of PLC implementation and graduation…
Achieving Metacognition through Cognitive Strategy Instruction
ERIC Educational Resources Information Center
Apaydin, Marina; Hossary, Mohamad
2017-01-01
Purpose: The purpose of this paper is to present hands-on techniques that could help achieve higher forms of cognitive work of Bloom's learning taxonomy and progress toward self-actualization, the top of Maslow's hierarchy of needs. These results can be achieved by the combination of Apaydin's 3A approach and integrative learning.…
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…
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:…
ERIC Educational Resources Information Center
Hilk, Caroline Lual
2013-01-01
This series of meta-analyses investigates the effects of social interdependence (cooperative, competitive, and individualistic learning structures) on achievement and peer relationships among college students. This study quantitatively synthesized the literature on the effects of social interdependence on achievement and peer relationship outcomes…
Perceived Competence and Autonomy as Moderators of the Effects of Achievement Goal Orientations
ERIC Educational Resources Information Center
Cho, YoonJung; Weinstein, Claire Ellen; Wicker, Frank
2011-01-01
The primary purpose of this study was to investigate the roles of two moderators--perceived competence and perceived autonomy--in the relationships of achievement goal orientations with a broad range of learning-related variables, including interest, effort, learning strategy use and academic achievement. Perceived competence and autonomy played…
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…
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…
ERIC Educational Resources Information Center
Fan, Weiqiao; Zhang, Li-Fang; Watkins, David
2010-01-01
The study examined the incremental validity of thinking styles in predicting academic achievement after controlling for personality and achievement motivation in the hypermedia-based learning environment. Seventy-two Chinese college students from Shanghai, the People's Republic of China, took part in this instructional experiment. The…
The effect of brain based learning with contextual approach viewed from adversity quotient
NASA Astrophysics Data System (ADS)
Kartikaningtyas, V.; Kusmayadi, T. A.; Riyadi, R.
2018-05-01
The aim of this research was to find out the effect of Brain Based Learning (BBL) with contextual approach viewed from adversity quotient (AQ) on mathematics achievement. BBL-contextual is the model to optimize the brain in the new concept learning and real life problem solving by making the good environment. Adversity Quotient is the ability to response and faces the problems. In addition, it is also about how to turn the difficulties into chances. This AQ classified into quitters, campers, and climbers. The research method used in this research was quasi experiment by using 2x3 factorial designs. The sample was chosen by using stratified cluster random sampling. The instruments were test and questionnaire for the data of AQ. The results showed that (1) BBL-contextual is better than direct learning on mathematics achievement, (2) there is no significant difference between each types of AQ on mathematics achievement, and (3) there is no interaction between learning model and AQ on mathematics achievement.
Achieving Information Dominance: Unleashing the Ozone Widget Framework
2014-06-01
1 19 th ICCRTS “C2 Agility: Lessons Learned From Research and Operations” For the paper titled: Achieving Information Dominance : Unleashing...00-00-2014 to 00-00-2014 4. TITLE AND SUBTITLE Achieving Information Dominance : Unleashing the Ozone Widget Framework 5a. CONTRACT NUMBER 5b...Abstract for Achieving Information Dominance : Unleashing the Ozone Widget Framework One of the key lessons learned from analysis of Joint operations
NASA Astrophysics Data System (ADS)
Whitford, Melinda M.
Science educational reforms have placed major emphasis on improving science classroom instruction and it is therefore vital to study opportunity-to-learn (OTL) variables related to student science learning experiences and teacher teaching practices. This study will identify relationships between OTL and student science achievement and will identify OTL predictors of students' attainment at various distinct achievement levels (low/intermediate/high/advanced). Specifically, the study (a) address limitations of previous studies by examining a large number of independent and control variables that may impact students' science achievement and (b) it will test hypotheses of structural relations to how the identified predictors and mediating factors impact on student achievement levels. The study will follow a multi-stage and integrated bottom-up and top-down approach to identify predictors of students' achievement levels on standardized tests using TIMSS 2011 dataset. Data mining or pattern recognition, a bottom-up approach will identify the most prevalent association patterns between different student achievement levels and variables related to student science learning experiences, teacher teaching practices and home and school environments. The second stage is a top-down approach, testing structural equation models of relations between the significant predictors and students' achievement levels according.
ERIC Educational Resources Information Center
Motlan; Sinulinggga, Karya; Siagian, Henok
2016-01-01
The aim of this research is to determine if inquiry and blended learning based materials can improve student's achievement. The learning materials are: book, worksheet, and test, website, etc. The type of this research is quasi experiment using two-group pretest posttest design. The population is all students of first year who take general physics…
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.
NASA Astrophysics Data System (ADS)
Berry, Stacy Jane
There has been an increased emphasis for college instruction to incorporate more active and collaborative involvement of students in the learning process. These views have been asserted by The Association of American Colleges (AAC), the National Science Foundation (NSF), and The National Research Counsel (NRC), which are advocating for the modification of traditional instructional techniques to allow students the opportunity to be more cooperative (Task Group on General Education, 1988). This has guided educators and facilitators into shifting teaching paradigms from a teacher centered to a more student-centered curriculum. The present study investigated achievement outcomes and attitudes of learners in a large enrollment (n ~ 200), introductory geology course using a student centered learning cycle format of instruction versus another similar section that used a traditional lecture format. Although the course is a recruiting class for majors, over 95% of the students that enroll are non-majors. Measurements of academic evaluation were through four unit exams, classroom communication systems, weekly web-based homework, in-class activities, and a thematic collaborative poster/paper project and presentation. The qualitative methods to investigate the effectiveness of the teaching design included: direct observation, self-reporting about learning, and open-ended interviews. By disaggregating emerging data, we tried to concentrate on patterns and causal relationships between achievement performance and attitudes regarding learning geology. Statistical analyses revealed positive relationships between student engagement in supplemental activities and achievement mean scores within and between the two sections. Completing weekly online homework had the most robust relationship with overall achievement performance. Contrary to expectations, a thematic group project only led to modest gains in achievement performance, although the social and professional gains could be considered as significant as the academic merit. The qualitative data substantiated the achievement success and revealed a positive relationship between a student centered learning environment and attitudes regarding learning geology. Our findings indicated a positive trend favoring active learning instructional practices, particularly methods that emphasize independent and active thinking, and analyzing of data. Of particular interest was the correlation between the amount of student ownership in an activity and students' attitude toward authenticity and application in learning. Students' perceptions and attitudes provided depth in program evaluation and helped in identifying which components used in teaching methodologies were the most effective towards learning. Although the exigencies of high enrollment introductory courses set limits for this study, the outcomes support the positive influence that active learning has on achievement performance in a high enrollment, introductory Geology course.
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.
NASA Astrophysics Data System (ADS)
O'Neal, Melissa Jean
Canonical correlation analysis was used to analyze data from Trends in International Mathematics and Science Study (TIMSS) 2011 achievement databases encompassing information from fourth/eighth grades. Student achievement in life science/biology was correlated with achievement in mathematics and other sciences across three analytical areas: mathematics and science student performance, achievement in cognitive domains, and achievement in content domains. Strong correlations between student achievement in life science/biology with achievement in mathematics and overall science occurred for both high- and low-performing education systems. Hence, partial emphases on the inter-subject connections did not always lead to a better student learning outcome in STEM education. In addition, student achievement in life science/biology was positively correlated with achievement in mathematics and science cognitive domains; these patterns held true for correlations of life science/biology with mathematics as well as other sciences. The importance of linking student learning experiences between and within STEM domains to support high performance on TIMSS assessments was indicated by correlations of moderate strength (57 TIMSS assessments was indicated by correlations of moderate strength (57 < r < 85) stronger correlations (73 < r < 97) between life science/biology and other science domains. Results demonstrated the foundational nature of STEM knowledge at the fourth grade level, and established the importance of strong interconnections among life science/biology, mathematics, and other sciences. At the eighth grade level, students who built increasing levels of cognitive complexity upon firm foundations were prepared for successful learning throughout their educational careers. The results from this investigation promote a holistic design of school learning opportunities to improve student achievement in life science/biology and other science, technology, engineering, and mathematics (STEM) subjects at the elementary and middle school levels. While the curriculum can vary from combined STEM subjects to separated mathematics or science courses, both professional learning communities (PLC) for teachers and problem-based learning (PBL) for learners can be strengthened through new knowledge construction beyond the traditional boundaries of each subject. It is the knowledge transfer across subjects that breaks barriers of future STEM discoveries to improve STEM education outcomes.
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.
Chen, Lang; Bae, Se Ri; Battista, Christian; Qin, Shaozheng; Chen, Tianwen; Evans, Tanya M; Menon, Vinod
2018-03-01
Positive attitude is thought to impact academic achievement and learning in children, but little is known about its underlying neurocognitive mechanisms. Using a large behavioral sample of 240 children, we found that positive attitude toward math uniquely predicted math achievement, even after we accounted for multiple other cognitive-affective factors. We then investigated the neural mechanisms underlying the link between positive attitude and academic achievement in two independent cohorts of children (discovery cohort: n = 47; replication cohort: n = 28) and tested competing hypotheses regarding the differential roles of affective-motivational and learning-memory systems. In both cohorts, we found that positive attitude was associated with increased engagement of the hippocampal learning-memory system. Structural equation modeling further revealed that, in both cohorts, increased hippocampal activity and more frequent use of efficient memory-based strategies mediated the relation between positive attitude and higher math achievement. Our study is the first to elucidate the neurocognitive mechanisms by which positive attitude influences learning and academic achievement.
Nuallaong, Winitra; Nuallaong, Thanya; Preechadirek, Nongluck
2015-04-01
To measure academic achievement of the multiple intelligence-based learning medium via a tablet device. This is a quasi-experimental research study (non-randomized control group pretest-posttest design) in 62 grade 1 elementary students (33 males and 29 females). Thirty-one students were included in an experimental group using purposive sampling by choosing a student who had highest multiple intelligence test scores in logical-mathematic. Then, this group learned by the new learning medium via a tablet which the application matched to logical-mathematic multiple intelligence. Another 31 students were included in a control group using simple random sampling and then learning by recitation. Both groups did pre-test and post-test vocabulary. Thirty students in the experimental group and 24 students in the control group increased post-test scores (odds ratio = 8.75). Both groups made significant increasing in post-test scores. The experimental group increased 9.07 marks (95% CI 8.20-9.93) significantly higher than the control group which increased 4.39 marks (95% CI 3.06-5.72) (t = -6.032, df = 51.481, p < 0.001). Although learning from either multiple intelligence-based learning medium via a tablet or recitation can contribute academic achievement, learningfrom the new medium contributed more achievement than recitation. The new learning medium group had higher post-test scores 8.75 times than the recitation group. Therefore, the new learning medium is more effective than the traditional recitation in terms of academic achievement. This study has limitations because samples came from the same school. However, the previous study in Thailand did notfind a logical-mathematical multiple intelligence difference among schools. In the future, long-term research to find how the new learning medium affects knowledge retention will support the advantage for life-long learning.
ERIC Educational Resources Information Center
Hall, Philip S.
2009-01-01
Using rewards to impact students' behavior has long been common practice. However, using reward systems to enhance student learning conveniently masks the larger and admittedly more difficult task of finding and implementing the structure and techniques that children with special needs require to learn. More important, rewarding the child for good…
Conceptual learning by miniature brains
Avarguès-Weber, Aurore; Giurfa, Martin
2013-01-01
Concepts act as a cornerstone of human cognition. Humans and non-human primates learn conceptual relationships such as ‘same’, ‘different’, ‘larger than’, ‘better than’, among others. In all cases, the relationships have to be encoded by the brain independently of the physical nature of objects linked by the relation. Consequently, concepts are associated with high levels of cognitive sophistication and are not expected in an insect brain. Yet, various works have shown that the miniature brain of honeybees rapidly learns conceptual relationships involving visual stimuli. Concepts such as ‘same’, ‘different’, ‘above/below of’ or ‘left/right are well mastered by bees. We review here evidence about concept learning in honeybees and discuss both its potential adaptive advantage and its possible neural substrates. The results reviewed here challenge the traditional view attributing supremacy to larger brains when it comes to the elaboration of concepts and have wide implications for understanding how brains can form conceptual relations. PMID:24107530
ERIC Educational Resources Information Center
Lueg, Rainer; Lueg, Klarissa; Lauridsen, Ole
2016-01-01
Changes in public policy, such as the Bologna Process, require students to be equipped with multifunctional competencies to master relevant tasks in unfamiliar situations. Achieving this goal might imply a change in many curricula toward deeper learning. As a didactical means to achieve deep learning results, the authors suggest reciprocal peer…
Students' Perceptions of Learning Geography through Group Investigation in Singapore
ERIC Educational Resources Information Center
Tan, Ivy Geok-Chin; Sharan, Shlomo; Lee, Christine Kim-Eng
2005-01-01
This study examines students' perceptions of the Group Investigation method of cooperative learning. A total of 142 students (62 low-achievers and 80 high-achievers) from two schools worked in cooperative learning groups during a period of over six weeks using the Group Investigation method. At the end of the study, they were asked to write their…
ERIC Educational Resources Information Center
Hayati, Noor
2015-01-01
This research aimed to investigate; students' English academic achievement, beliefs about English language learning, English language learning strategies, and the relationship of them. Descriptive and correlational design, quantitative methods were applied in this research. The students' final English scores of the first year, BALLI, and SILL were…
ERIC Educational Resources Information Center
Shih, Ju-Ling; Ku, David Tawei; Hung, Su-Huan
2013-01-01
We investigate how the computerized dynamic assessment system improves the learning achievements of vocational high school students studying accounting. Our experiment was conducted under the one-group pretest-posttest design of 34 junior students. The questionnaire results were analyzed to determine student-learning attitudes and reactions toward…
ERIC Educational Resources Information Center
Knudson, Joel
2016-01-01
The California Collaborative on District Reform convened in Oakland for a two-day meeting, "Integrating Academic, Social, and Emotional Learning to Advance Equity and Achievement." The meeting explored methods to support and integrate academic, social, and emotional learning in K-12 education. Implementation efforts surrounding the…
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…
ERIC Educational Resources Information Center
Wong, Bernice Y. L.; And Others
1982-01-01
A study investigated the hypothesis that poor comprehension or recall of task demands, rather than a putative lack of goal directedness, is a possible source of learning-disabled children's poor performance of experimental tasks. Clear instructions substantially facilitated performance by both normally achieving and learning disabled children of…
ERIC Educational Resources Information Center
Saeid, Nasim; Eslaminejad, Tahere
2017-01-01
Self-directed learning readiness to expand and enhance learning, This is an important goal of higher education, Besides his academic self-efficacy can be improved efficiency and Achievement Motivation, so understanding how to use these strategies by students is very important. Because the purpose this study is determination of relationship between…
Learning Technology Adoption: Navy Barriers And Resistance
2018-03-01
ABSTRACT (maximum 200 words) Technological developments offer opportunities to enhance training effectiveness, in support of achieving high-velocity...developments offer opportunities to enhance training effectiveness, in support of achieving high-velocity learning. However, resistance to change...considering what opportunities for enhanced training might be offered by learning-centered technologies. This is evident in the CNO’s statement, “We must
ERIC Educational Resources Information Center
Mega, Carolina; Ronconi, Lucia; De Beni, Rossana
2014-01-01
The authors propose a theoretical model linking emotions, self-regulated learning, and motivation to academic achievement. This model was tested with 5,805 undergraduate students. They completed the Self-Regulated Learning, Emotions, and Motivation Computerized Battery (LEM-B) composed of 3 self-report questionnaires: the Self-Regulated Learning…
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…
ERIC Educational Resources Information Center
Sadi, Özlem; Çakiroglu, Jale
2014-01-01
This study is aimed at investigating the relationships among students' relevant prior knowledge, meaningful learning orientation, reasoning ability, self-efficacy, locus of control, attitudes toward biology and achievement with the human circulatory system (HCS) using the learning cycle (LC) and the traditional classroom setting. The study was…
ERIC Educational Resources Information Center
Modebelu, M. N.; Ogbonna, C. C.
2014-01-01
This study aimed at determining the effect of reform-based-instructional method learning styles on students' achievement and retention in mathematics. A sample size of 119 students was randomly selected. The quasiexperimental design comprising pre-test, post-test, and randomized control group were employed. The Collin Rose learning styles…
Learning Physics through Project-Based Learning Game Techniques
ERIC Educational Resources Information Center
Baran, Medine; Maskan, Abdulkadir; Yasar, Seyma
2018-01-01
The aim of the present study, in which Project and game techniques are used together, is to examine the impact of project-based learning games on students' physics achievement. Participants of the study consist of 34 9th grade students (N = 34). The data were collected using achievement tests and a questionnaire. Throughout the applications, the…
ERIC Educational Resources Information Center
Bayley-Hamlet, Simone O.
2017-01-01
The purpose of this study was to examine the effect of Imagine Learning, a computer assisted language learning (CALL) program, on addressing reading achievement for English language learners (ELLs). This is a measurement used in the Accessing Comprehension and Communication in English State-to-State (ACCESS for ELLs or ACCESS) reading scale…
ERIC Educational Resources Information Center
Brenton, Beatrice White; Gilmore, Doug
1976-01-01
An operational index of discrepancy to assist in identifying learning disabilities was derived using the Full Scale IQ, Wechsler Intelligence Scale for Children, and relevant subtest scores on the Peabody Individual Achievement Test. Considerable caution should be exercised when classifying children, especially females, as learning disabled.…
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…
Cooperative Learning in the Advanced Algebra and Trigonometry Mathematics High School Classroom
ERIC Educational Resources Information Center
Jozsa, Alison
2017-01-01
Over the past three decades, researchers have found cooperative learning to have positive effects on student achievement in various subject areas and levels in education. However, there are limited studies on the impact of cooperative learning on student achievement in the area of high school mathematics. This study examined the impact of…
The Impact of Certain Socio-Demographic Conditions on the Students' Success in Learning
ERIC Educational Resources Information Center
Agic, Hariz; Osmanbegovic, Edin; Suljic, Erna
2016-01-01
Educational policies have focused on achieving the learning outcomes of students. The challenge is to determine adequate strategies in teaching and learning and how to achieve efficient and effective educational goals. The key elements in this process are the students, teachers and families with all their determinants. In this paper, we intended…
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…
ERIC Educational Resources Information Center
Madaus, Joseph W.
2005-01-01
Selected subtests from the Woodcock Johnson III Tests of Achievement (Woodcock, McGrew, & Mather, 2001) were administered to three groups of university students. The groups included students with learning disabilities who received course substitutions for the institution's foreign language requirement, students with learning disabilities who…
ERIC Educational Resources Information Center
Ferla, Johan; Valcke, Martin; Schuyten, Gilberte
2010-01-01
Using path analysis, the present study focuses on the development of a model describing the impact of four judgments of self-perceived academic competence on higher education students' achievement goals, learning approach, and academic performance. Results demonstrate that academic self-efficacy, self-efficacy for self-regulated learning, academic…
Wakano, Joe Yuichiro; Miura, Chiaki
2014-02-01
Inheritance of culture is achieved by social learning and improvement is achieved by individual learning. To realize cumulative cultural evolution, social and individual learning should be performed in this order in one's life. However, it is not clear whether such a learning schedule can evolve by the maximization of individual fitness. Here we study optimal allocation of lifetime to learning and exploitation in a two-stage life history model under a constant environment. We show that the learning schedule by which high cultural level is achieved through cumulative cultural evolution is unlikely to evolve as a result of the maximization of individual fitness, if there exists a trade-off between the time spent in learning and the time spent in exploiting the knowledge that has been learned in earlier stages of one's life. Collapse of a fully developed culture is predicted by a game-theoretical analysis where individuals behave selfishly, e.g., less learning and more exploiting. The present study suggests that such factors as group selection, the ability of learning-while-working ("on the job training"), or environmental fluctuation might be important in the realization of rapid and cumulative cultural evolution that is observed in humans. Copyright © 2013 Elsevier Inc. All rights reserved.
The Use of Open-Ended Questions with Giving Feedback (OEQGF) for Effective Mathematic Learning
NASA Astrophysics Data System (ADS)
Sabilah, I.; Manoy, J. T.
2018-01-01
Feedback deals with giving information to students related to their task which is done through score of their achievement, reaction, and comments. Considering its hierarchy, task difficulty level consists of low, middle and high levels. The difficulty level of open-ended questions is middle to high. Open-ended question is a good way to train students’ knowledge. This research is a descriptive research which aims at describing teacher’s learning management, students’ activities, students’ learning achievement, and students’ responses in mathematic learning using OEQGF. The subject was a teacher of mathematics who teaches eighth graders, and students themselves. The research design used is one shot case study. The result shows that: management learning has been very well implemented by the teacher; every students’ activity has been carried out by students; the students’ learning achievement have reached the criteria of completeness, and the students’ responses can be considered as positive. Therefore, it can be concluded that mathematic learning using OEQGF is effective.