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Vanessa Echeverria; Gloria Fernandez Nieto; Linxuan Zhao; Evelyn Palominos; Namrata Srivastava; Dragan Gaševic; Viktoria Pammer-Schindler; Roberto Martinez-Maldonado – Journal of Computer Assisted Learning, 2025
Background: Dashboards play a prominent role in learning analytics (LA) research. In collaboration activities, dashboards can show traces of team participation. They are often evaluated based on students' perceived satisfaction and engagement with the dashboard. However, there is a notable methodological gap in understanding how these dashboards…
Descriptors: Learning Analytics, Educational Technology, Student Attitudes, Reflection
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Huang, Xiaoshan; Li, Shan; Wang, Tingting; Pan, Zexuan; Lajoie, Susanne P. – Journal of Computer Assisted Learning, 2023
Background: Medical students use a variety of self-regulated learning (SRL) strategies in different medical reasoning (MR) processes to solve patient cases of varying complexity. However, the interplay between SRL and MR processes is still unclear. Objectives: This study investigates how self-regulated learning (SRL) and medical reasoning (MR)…
Descriptors: Medical Students, Self Management, Problem Solving, Logical Thinking
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Katharina Alexandra Whalen; Alexander Renkl; Alexander Eitel; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: Students often show unfavourable attribution: they attribute poor school performance to stable factors such as lack of ability and good school performance to variable factors such as effort. However, attribution can be influenced by individualized digital re-attributional feedback leading to positive motivational effects and higher…
Descriptors: Feedback (Response), Computer Mediated Communication, Secondary School Mathematics, Student Motivation
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Sisman, Burak; Kucuk, Sevda; Ozcan, Neslihan – Journal of Computer Assisted Learning, 2022
Background: Educational robotics (ER) is a means of teaching technology and engineering to students that offers an active learning environment by encouraging them to create meaningful and unique products. ER also gives students the opportunity to work collaboratively. Objectives: In this study, elementary school students' behavioral patterns were…
Descriptors: Elementary School Students, Student Behavior, Behavior Patterns, Cooperative Learning
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Yang, Yuqin – Journal of Computer Assisted Learning, 2019
This study aimed to examine the role and process of reflective assessment supported by the Knowledge Connections Analyzer in helping low academic achievers to develop epistemic agency in knowledge building. The participants were 33 ninth-grade low achievers from a visual arts course in Hong Kong. A comparison class of 33 students, taught by the…
Descriptors: Reflection, Low Achievement, Academic Achievement, Epistemology
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Wu, Bian; Hu, Yiling; Ruis, A. R.; Wang, Minhong – Journal of Computer Assisted Learning, 2019
Computational thinking (CT), the ability to devise computational solutions for real-life problems, has received growing attention from both educators and researchers. To better improve university students' CT competence, collaborative programming is regarded as an effective learning approach. However, how novice programmers develop CT competence…
Descriptors: Thinking Skills, Problem Solving, Teaching Methods, College Students
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Wang, Hong-You; Lin, Vivien; Hwang, Gwo-Jen; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2019
To assess the effects and learner perceptions of context-aware ubiquitous language learning (CAULL), a green-building English-learning application (GBELA) employing sensing technology was created to develop participants' English listening and reading skills using smartphones and QR codes. This study investigated the effects of 40 participants'…
Descriptors: Reading Skills, Listening Skills, English (Second Language), Second Language Learning
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Chadli, Abdelhafid; Tranvouez, Erwan; Dahmani, Youcef; Bendella, Fatima; Belmabrouk, Karima – Journal of Computer Assisted Learning, 2018
This study proposes a computer-assisted system with a design based on Polya's problem-solving model. The system is designed to help average and low-achieving second graders in mathematics with word-based addition and subtraction questions. The emphasis of using the specific model was on dividing the problem-solving procedure into stages and the…
Descriptors: Mathematics Instruction, Word Problems (Mathematics), Computer Assisted Instruction, Teaching Methods
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Lin, C.-C.; Guo, K.-H.; Lin, Y.-C. – Journal of Computer Assisted Learning, 2016
This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate…
Descriptors: Remedial Instruction, Artificial Intelligence, Intelligent Tutoring Systems, Electronic Learning