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Acharya, Anal; Sinha, Devadatta – Journal of Educational Technology Systems, 2018
This study uses homogeneity in personal learning styles and heterogeneity in subject knowledge for collaborative learning group decomposition indicating that groups are "mixed" in nature. Homogeneity within groups was formed using K-means clustering and greedy search, whereas heterogeneity imbibed using agenda-driven search. For checking…
Descriptors: Cooperative Learning, Outcomes of Education, Multiple Regression Analysis, Cognitive Style
Bempeni, Maria; Vamvakoussi, Xenia – Frontline Learning Research, 2015
We present the results of an in-depth qualitative study that examined ninth graders' conceptual and procedural knowledge of fractions as well as their approach to mathematics learning, in particular fraction learning. We traced individual differences, even extreme, in the way that students combine the two kinds of knowledge. We also provide…
Descriptors: Individual Differences, Fractions, Qualitative Research, Statistical Analysis
Blackburn, J. Joey; Robinson, J. Shane – Journal of Agricultural Education, 2017
The purpose of this study was to determine if selected factors influenced the ability of students in school-based agricultural education programs to generate a correct hypothesis when troubleshooting small gasoline engines. Variables of interest included students' cognitive style, age, GPA, and content knowledge in small gasoline engines. Kirton's…
Descriptors: Agricultural Education, Agricultural Engineering, Agricultural Machinery, Power Technology
Maries, Alexandru; Singh, Chandralekha – Physical Review Physics Education Research, 2016
The Force Concept Inventory (FCI) has been widely used to assess student understanding of introductory mechanics concepts by a variety of educators and physics education researchers. One reason for this extensive use is that many of the items on the FCI have strong distractor choices which correspond to students' alternate conceptions in…
Descriptors: Scientific Concepts, Scientific Literacy, Concept Teaching, Student Evaluation
Mantri, Archana – European Journal of Engineering Education, 2014
The intent of the study presented in this paper is to show that the model of problem-based learning (PBL) can be made scalable by designing curriculum around a set of open-ended problems (OEPs). The detailed statistical analysis of the data collected to measure the effects of traditional and PBL instructions for three courses in Electronics and…
Descriptors: Foreign Countries, Engineering, Engineering Education, Problem Based Learning
Shukor, Nurbiha A.; Tasir, Zaidatun; Van der Meijden, Henny; Harun, Jamalludin – Educational Technology & Society, 2014
Online collaborative learning allows discussion to occur at greater depth where knowledge can be constructed remotely. However students were found to construct knowledge at low-level where they discussed by sharing and comparing opinions; those are inadequate for new knowledge creation. As such, this research attempted to investigate the students'…
Descriptors: Learning Strategies, Cognitive Style, Cooperative Learning, Electronic Learning
Mahnane, Lamia; Tayeb, Laskri Mohamed; Trigano, Philippe – International Journal of Information and Communication Technology Education, 2013
Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner's needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems…
Descriptors: Electronic Learning, Hypermedia, Cognitive Style, Knowledge Level
Drissi, Samia; Amirat, Abdelkrim – International Journal of Distance Education Technologies, 2016
Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia.…
Descriptors: Foreign Countries, Electronic Learning, Cognitive Style, Assistive Technology
Calloway, Letitia ReNae – ProQuest LLC, 2012
The purpose of this research study was to examine factors that influence the identification of elementary African American students for gifted programs and to discover why these students are not equally represented. Concerns over recruiting and retaining Black students in gifted education programs have continued for several decades. This study was…
Descriptors: Academically Gifted, African American Students, Elementary School Students, Identification
Mousavi, Shima; Radmehr, Farzad; Alamolhodaei, Hasan – Electronic Journal of Research in Educational Psychology, 2012
Introduction: The main objective of this study is (a) to investigate whether cognitive styles and working memory capacity could predict mathematical performance and which variable is relatively most important in predicting mathematical performance and b) to explore whether cognitive styles and working memory capacity could predict mathematical…
Descriptors: Homework, Cognitive Style, Short Term Memory, Role
Schellens, T.; Van Keer, H.; Valcke, M.; De Wever, B. – Behaviour & Information Technology, 2007
The research reported in the current article studies the impact of learning in asynchronous discussion groups on students' final exam scores and levels of knowledge construction. Multilevel analyses were applied to uncover the specific influence of student, group and task variables. The results indicate that the impact of student characteristics…
Descriptors: Student Characteristics, Knowledge Level, Discussion Groups, Cognitive Style
Ekstrom, Ruth B. – 1976
The Beginning Teacher Evaluation Study (BTES), Phase II, was a research project on effective teaching behavior--what teachers do that significantly affects what and how pupils learn. The purposes of Phase II were to (1) develop an assessment system for measuring teacher and student behaviors and other factors which could influence each of them and…
Descriptors: Academic Achievement, Achievement Tests, Aptitude Tests, Cognitive Style

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