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Kale, Ugur; Yuan, Jiangmei – Journal of Educational Computing Research, 2021
Computational thinking is a means to understand and solve complex problems through using computer science concepts and techniques. While there is an increase in the number of initiatives focusing on coding, whether they (a) address computational thinking and problem-solving skills and (b) use methods of teaching problem solving is yet to be…
Descriptors: Computation, Thinking Skills, Problem Solving, Programming
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Ezeamuzie, Ndudi O.; Leung, Jessica S. C.; Ting, Fridolin S. T. – Journal of Educational Computing Research, 2022
Although abstraction is widely understood to be one of the primary components of computational thinking, the roots of abstraction may be traced back to different fields. Hence, the meaning of abstraction in the context of computational thinking is often confounded, as researchers interpret abstraction through diverse lenses. To disentangle these…
Descriptors: Computer Science Education, Thinking Skills, Research Reports, Abstract Reasoning
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Chen, Yu-Chi; Chao, Chi-Yu; Hou, Huei-Tse – Journal of Educational Computing Research, 2023
Pattern recognition is an important skill in computational thinking. In this study, an equation puzzle game was developed by combining pattern recognition with algebraic reasoning, and scaffolding was designed to support learners' learning. Sixty participants were enrolled in this study, divided into a control group and an experimental group to…
Descriptors: Pattern Recognition, Skill Development, Educational Games, Computation
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Trakunphutthirak, Ruangsak; Lee, Vincent C. S. – Journal of Educational Computing Research, 2022
Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…
Descriptors: Information Retrieval, Pattern Recognition, Data Analysis, Information Technology
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Zhang, Zhaoli; Li, Zhenhua; Liu, Hai; Cao, Taihe; Liu, Sannyuya – Journal of Educational Computing Research, 2020
Online learning engagement detection is a fundamental problem in educational information technology. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real time. To improve the accuracy of learning engagement detection, we have collected two aspects of…
Descriptors: Learner Engagement, Learning Analytics, Nonverbal Communication, Pattern Recognition