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Download full textPingping Zhao; Chun-Yen Chang; Yueyang Shao; Zhi Liu; Hao Zhou; Jian Liu – Journal of Baltic Science Education, 2023
Students' problem-solving strategies and the differences among strategy groups were explored by analyzing the process data collected during student interactions with computer-based science items. Data were gathered from 1516 eleventh-grade students from 4 schools in China. Analyses of the sequences of students' response actions revealed that the…
Descriptors: Foreign Countries, Problem Solving, Learning Strategies, Science Instruction
Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
Hannon, Brenda – Journal of Education and Training Studies, 2013
Recent studies show that a new strategy called differential-associative processing is effective for learning related concepts; however, our knowledge about differential-associative processing is still limited. Therefore the goals of the present study are to assess the duration of knowledge that is acquired from using differential-associative…
Descriptors: Learning Strategies, Comparative Analysis, Cognitive Processes, Associative Learning
Direct linkHalloran, Roberta Kathryn – ProQuest LLC, 2011
Self-regulation, executive function and working memory are areas of cognitive processing that have been studied extensively. Although many studies have examined the constructs, there is limited empirical support suggesting a formal link between the three cognitive processes and their prediction of academic achievement. Thus, the present study…
Descriptors: Private Schools, Critical Reading, Standardized Tests, Learning Strategies
Bassili, John N. – Journal of Distance Education, 2008
This study explored relations between students' motivational and cognitive orientations as assessed by the Motivated Strategies for Learning Questionnaire (MSLQ), and their attitudes and choices relating to online lecture viewing. Examination performance was also assessed to determine if there were particular affinities between certain…
Descriptors: Student Motivation, Student Attitudes, Questionnaires, Learning Strategies
Peer reviewedChapelle, Carol A. – Applied Language Learning, 1996
Probes validity issues of computer-assisted strategy assessment in second language acquisition research. Reviews metacognitive and cognitive strategies, discussing trait-oriented and interactionist approaches in the concept of strategy, and examining validity by focusing on "advance preparation" and "resourcing" examples of…
Descriptors: Cognitive Processes, Computer Assisted Testing, English (Second Language), Learning Strategies
Peer reviewedFrederiksen, John R.; White, Barbara Y. – Machine-Mediated Learning, 1988
Examines ways in which intelligent tutoring systems can be used to develop models of a student's domain knowledge, problem solving abilities, and learning strategies. Cognitive skills assessment is discussed, and an example of a problem based tutoring system, Qualitative Understanding of Electrical System Troubleshooting (QUEST), is explained. (25…
Descriptors: Cognitive Processes, Computer Assisted Testing, Computer System Design, Diagnostic Tests
Dillon, Ronna F. – 1991
Validity data were collected on tests from five aptitude clusters: information-processing (IP) componential skills, IP metacomponential skills, practical intellectual skills, cognitive flexibility, and cognitive speed. In addition, the IP activities underlying learning were elucidated. IP componential data were derived via two approaches. The…
Descriptors: Adults, Aptitude Tests, Cognitive Processes, Computer Assisted Testing
