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Xuemin Gao; Yuqin Yang; Yuxia Du; Daner Sun – Journal of Educational Computing Research, 2025
Block-based visual programming tools are widely used in elementary education. Nonetheless, these tools alone may not ensure the spontaneous and efficient acquisition of concepts and skills in computational thinking (CT). Using mind mapping as a form of scaffolding to facilitate the visualization of abstract thinking processes may enhance the…
Descriptors: Computation, Thinking Skills, Programming, Cognitive Mapping
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Qing Guo; Junwen Zhen; Fenglin Wu; Yanting He; Cuilan Qiao – Journal of Educational Computing Research, 2025
The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…
Descriptors: STEM Education, Computational Linguistics, Teaching Methods, Educational Change
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Rivers, Damian J. – Journal of Educational Computing Research, 2021
Computer-mediated learning initiatives have recently increased due to the novel coronavirus pandemic. Implications are thus created for self-regulation, learning and achievement as computer-mediated learners face unique motivational and metacognitive demands. The current research uses a serial mediation approach to test the effect of goal…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
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Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
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Zhong, Baichang; Si, Qiuju – Journal of Educational Computing Research, 2021
Studies have indicated the importance of scaffolding in the problem-solving process, as well as the potential of integrating learning content into the troubleshooting tasks. However, few have explored in depth the learning process during troubleshooting via scaffolds while also taking students' cognitive load into account. To address this issue,…
Descriptors: Troubleshooting, Scaffolding (Teaching Technique), Instructional Effectiveness, Difficulty Level
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Huang, Xiaoxia; Mayer, Richard E. – Journal of Educational Computing Research, 2019
This study investigated the effectiveness of adding four self-efficacy features to an online statistics lesson, based on Bandura's four sources of self-efficacy information. In a randomized between-subjects experiment, participants learned statistical rules in an example-based online environment with four self-efficacy features added (treatment…
Descriptors: Self Efficacy, Online Courses, Statistics, Teaching Methods
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Adesope, Olusola O.; Zhou, Mingming; Nesbit, John C. – Journal of Educational Computing Research, 2015
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…
Descriptors: Academic Achievement, Goal Orientation, Study Habits, Learning Strategies
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Frick, Theodore W. – Journal of Educational Computing Research, 1989
Demonstrates how Bayesian reasoning can be used to adjust the length of computer-guided practice exercises and computer-based tests to help make mastery or nonmastery decisions. Individualization of instruction is discussed, and the results of an empirical study that used the sequential probability ratio test (SPRT) are presented. (25 references)…
Descriptors: Adaptive Testing, Computer Assisted Instruction, Computer Assisted Testing, Higher Education
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Montazemi, Ali R.; Wang, Feng – Journal of Educational Computing Research, 1995
Describes research that investigated the effectiveness of computer-based instruction (CBI) in support of mastery learning based on a study of 333 undergraduate students who used a CBI system called Management Information Systems Tutor (MIST). Student performance and time on task are examined. (Author/LRW)
Descriptors: Academic Achievement, Computer Assisted Instruction, Correlation, Higher Education
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Canino, Casilda; Cicchelli, Terry – Journal of Educational Computing Research, 1988
Describes aptitude treatment interaction study that used the cognitive styles field dependence and independence matched with computerized algorithmic and discovery treatments to determine mathematics achievement on a criterion-referenced test. Posttest mathematics scores and student responses to the computer are analyzed, and mastery learning is…
Descriptors: Algorithms, Analysis of Covariance, Aptitude Treatment Interaction, Computer Assisted Instruction