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Shuhan Zhang; Gary K. W. Wong – Journal of Computer Assisted Learning, 2024
Background: Computational thinking (CT) has been broadly considered one of the 21st-century competencies, and an emerging trend has been seen in integrating CT into primary education. Cumulative research was conducted to investigate the influencing factors of CT learning performance, and an ample range of factors has been identified, involving…
Descriptors: Logical Thinking, Personality Traits, Elementary School Students, Negative Attitudes
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Carolien A. N. Knoop-van Campen; Joep van der Graaf; Anne Horvers; Rianne Kooi; Rick Dijkstra; Inge Molenaar – Journal of Computer Assisted Learning, 2024
Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…
Descriptors: Elementary School Students, Grade 5, Educational Technology, Technology Uses in Education
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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
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Lisa Stark; Andreas Korbach; Roland Brünken; Babette Park – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Metacognition, Multimedia Instruction, Multimedia Materials, Eye Movements
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Yueh-Min Huang; Wei-Sheng Wang; Hsin-Yu Lee; Chia-Ju Lin; Ting-Ting Wu – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) offers significant potential for hands-on learning environments by providing immersive and visually stimulating experiences. Interacting with such environments can bring numerous benefits to learning, including enhanced engagement, knowledge construction, and higher-order thinking. However, many current VR studies…
Descriptors: Computer Simulation, Feedback (Response), Reflection, Experiential Learning
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Xie, Heping; Zhao, Tingting; Deng, Sue; Peng, Ji; Wang, Fuxing; Zhou, Zongkui – Journal of Computer Assisted Learning, 2021
Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…
Descriptors: Eye Movements, Attention, Cognitive Ability, Learning Processes
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Chen, Jyun-Chen; Huang, Yun; Lin, Kuen-Yi; Chang, Yu-Shan; Lin, Hung-Chang; Lin, Chien-Yu; Hsiao, Hsien-Sheng – Journal of Computer Assisted Learning, 2020
This study combined virtual reality (VR) technology, the 6E (Engage, Explore, Explain, Engineer, Enrich, and Evaluate) model, and STEM (Science, Technology, Engineering, and Mathematics) education to develop a hands-on activity aimed at helping students to achieve "learning by doing." The participants were 162 tenth-grade students,…
Descriptors: Hands on Science, Computer Simulation, STEM Education, Experiential Learning
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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
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Garcia, Consuelo; Badia, Antoni – Journal of Computer Assisted Learning, 2017
This study investigated the frequency of use of information problem-solving (IPS) skills and its relationship with learning outcomes. During the course of the study, 40 teachers carried out a collaborative IPS task in small virtual groups in a 4-week online training course. The status of IPS skills was collected through self-reports handed in over…
Descriptors: Problem Solving, Incidence, Outcomes of Education, Small Group Instruction
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Nash, Padraig; Shaffer, David Williamson – Journal of Computer Assisted Learning, 2011
Players of epistemic games--computer games that simulate professional practica--have been shown to develop epistemic frames: a profession's particular way of seeing and solving problems. This study examined the interactions between players and mentors in one epistemic game, Urban Science. Using a new method called epistemic network analysis, we…
Descriptors: Mentors, Network Analysis, Practicums, Problem Solving
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Marjanovic, Olivera – Journal of Computer Assisted Learning, 1999
Describes a new synchronous collaborative environment that combines interactive learning and Group Support Systems for computer-mediated collaboration. Illustrates its potential to improve critical thinking, problem solving, and communication skills, and describes how teachers' roles are changed. (Author/LRW)
Descriptors: Communication Skills, Computer Mediated Communication, Critical Thinking, Educational Environment