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Shin, Yoonhee; Jung, Jaewon; Zumbach, Joerg; Yi, Eunseon – Journal of Educational Computing Research, 2023
This study explores the effects of worked-out examples and metacognitive scaffolding on novice learners' knowledge performance, cognitive loads, and self-regulation skills in problem-solving programming. 126 undergraduate students in a computer programming fundamentals course were randomly assigned to one of four groups: (1) task performance with…
Descriptors: Problem Solving, Metacognition, Scaffolding (Teaching Technique), Programming
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Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
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Kim, Byeongsu; Kim, Taehun; Kim, Jonghoon – Journal of Educational Computing Research, 2013
The paper-and-pencil programming strategy (PPS) is a way of representing an idea logically by any representation that can be created using paper and pencil. It was developed for non-computer majors to improve their understanding and use of computational thinking and increase interest in learning computer science. A total of 110 non-majors in their…
Descriptors: Teaching Methods, Nonmajors, Computer Science, Thinking Skills