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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
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Whitcomb, Kyle M.; Guthrie, Matthew W.; Singh, Chandralekha; Chen, Zhongzhou – Physical Review Physics Education Research, 2021
In two earlier studies, we developed a new method to measure students' ability to transfer physics problem-solving skills to new contexts using a sequence of online learning modules, and implemented two interventions in the form of additional learning modules designed to improve transfer ability. The current paper introduces a new data analysis…
Descriptors: Accuracy, Measurement Techniques, Electronic Learning, Learning Modules
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Ackermans, Kevin; Rusman, Ellen; Brand-Gruwel, Saskia; Specht, Marcus – Educational Technology Research and Development, 2019
For learners, it can be difficult to imagine how to perform a complex skill based on textual information from solely a text-based analytic rubric. Rubrics lack (1) the contextual information needed to convey real-world attributes (2) the dynamic information (such as gesturing in the complex skill of presenting) (3) the procedural information…
Descriptors: Problem Solving, Instructional Design, Video Technology, Scoring Rubrics
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Johnson, Jerraco L.; Rudisill, Mary E.; Hastie, Peter; Wadsworth, Danielle; Strunk, Kamden; Venezia, Alexandra; Sassi, Julia; Morris, Michael; Merritt, Monaye – Research Quarterly for Exercise and Sport, 2019
Purpose: Children who do not learn their fundamental motor skills (FMS) are more likely to be unskilled, sedentary adults. By consequence, it behooves those teaching physical education to put in place mechanisms that promote as well as motivate children to master their FMS. One approach to achieving this goal is through the adoption of mastery…
Descriptors: Mastery Learning, Psychomotor Skills, Motor Development, Physical Education
Johnson, Jerraco Leontae – ProQuest LLC, 2019
It is widely accepted that fundamental motor skills (FMS) are considered the building blocks for successful participation in sports and physical activity for children, adolescents, and adults (Haywood & Getchell, 2014), and that individuals must be able to master these skill patterns before they can engage in more complex movement patterns,…
Descriptors: Psychomotor Skills, Physical Activities, Mastery Learning, Preschool Children
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Gray, Shirley; Sproule, John; Morgan, Kevin – European Physical Education Review, 2009
Team invasion games (TIG) make up a large part of the PE curriculum in Scottish schools. It is important, therefore, to understand the environmental conditions that contribute to pupils' motivation to learn to play TIG. Consequently, this study aimed to identify the teaching behaviours exhibited when teaching TIG using a game-based approach and a…
Descriptors: Foreign Countries, Physical Education, Team Sports, Learning Motivation
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Cronin, Michael W.; Cronin, Karen A. – Journal of Computing in Higher Education, 1992
Recent empirical research has identified significant advantages for interactive video instruction over traditional teaching methods in "soft skill" (humanities and social sciences) areas, including cognitive achievement, transfer of learning to performance, learning motivation, student achievement across uncontrolled student characteristics, user…
Descriptors: Academic Achievement, Classroom Techniques, Cognitive Development, Computer Assisted Instruction