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Ruijie Zhou; Xiuling He; Qiong Fan; Yangyang Li; Yue Li; Xiong Xiao; Jing Fang – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, an AI-based chatbot, supports learning by accurately interpreting and responding to user inputs. Despite its potential, few empirical studies have examined its influence on college students' mathematical problem-solving processes. Objectives: This study aimed to introduce a ChatGPT-facilitated scaffolding to investigate its…
Descriptors: Artificial Intelligence, Technology Uses in Education, Scaffolding (Teaching Technique), Mathematics Instruction
van Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; van Gog, Tamara – Journal of Computer Assisted Learning, 2022
Nowadays, students often practice problem-solving skills in online learning environments with the help of examples and problems. This requires them to self-regulate their learning. It is questionable how novices self-regulate their learning from examples and problems and whether they need support. The present study investigated the open questions:…
Descriptors: Sequential Learning, Independent Study, Problem Solving, Electronic Learning
Eniko Orsolya Bereczki; Zsofia K. Takacs; J. Elizabeth Richey; Huy A. Nguyen; Michael Mogessie; Bruce M. McLaren – Journal of Computer Assisted Learning, 2024
Background: Mindfulness practices enhance executive function skills and academic achievement, spurring interest in integrating mindfulness interventions into education. Embedding mindfulness practice into a digital math game may provide a low-cost, scalable way to induce mindfulness and boost game-based learning, yet this approach remains…
Descriptors: Metacognition, Educational Games, Video Games, Game Based Learning
Hwang, Gwo-Jen; Chang, Shao-Chen; Song, Yanjie; Hsieh, Min-Chuan – Journal of Computer Assisted Learning, 2021
Scholars have suggested that flipped learning can be enhanced by designing effective in-class learning activities to improve students' higher order thinking skills. Problem posing has been recognized as such a learning strategy that has great potential for improving students' higher order thinking skills. However, it has been reported as a…
Descriptors: Flipped Classroom, Educational Environment, Electronic Learning, Concept Mapping
Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction
Fang, N.; Tajvidi, M. – Journal of Computer Assisted Learning, 2018
This study focuses on the investigation of the effects of computer simulation and animation (CSA) on students' cognitive processes in an undergraduate engineering course. The revised Bloom's taxonomy, which consists of six categories in the cognitive process domain, was employed in this study. Five of the six categories were investigated,…
Descriptors: Computer Simulation, Animation, Educational Technology, Technology Uses in Education
Peer reviewedTiberghien, A.; de Vries, E. – Journal of Computer Assisted Learning, 1997
Compares collaborative problem solving by learners sitting side-by-side with computer-mediated learning at a distance. Three aspects are studied: high school students' problem- solving strategies and interpretation of the teaching situation; their use of components of the situation; and the cognitive processes involved in understanding domain…
Descriptors: Cognitive Processes, Comparative Analysis, Computer Assisted Instruction, Conventional Instruction

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