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Peng Chen; Dong Yang; Jia Zhao; Shu Yang; Jari Lavonen – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) refers to the ability to represent problems, design solutions and migrate solutions computationally. While previous studies have shown that self-explanation can enhance students' learning, few empirical studies have examined the effects of using different self-explanation prompts to cultivate students' CT…
Descriptors: Computation, Thinking Skills, Programming, Learning Processes
Yanqing Wang; Shaoying Gong; Ning Jia; Ying Liu – Journal of Computer Assisted Learning, 2025
Background: Online learning is becoming increasingly popular among learners. To enhance the effectiveness of online learning, researchers have embedded an affective pedagogical agent (PA) on the computer screen to help regulate learners' emotions and support their learning. However, previous research has paid little attention to the effects of…
Descriptors: Metacognition, Prompting, Electronic Learning, Computer Uses in Education
Anne van der Linden; Ralph F. G. Meulenbroeks; Wouter R. van Joolingen – Journal of Computer Assisted Learning, 2024
Background: Research on cognitive effects of educational games in general shows promising results. However, there are large variations in learning outcomes between individual educational games. Research on the design process and different design elements of educational games has led to some interesting directions, but some design aspects remain…
Descriptors: Scientific Principles, Mechanics (Physics), Educational Games, Science Education
Ying-Lien Lin; Wei-Tsong Wang; Shih-Ying Kuang – Journal of Computer Assisted Learning, 2025
Background: Visual metaphors (VMs) have gained significant attention from cognitive linguists for their ability to help learners understand linguistic structure. However, few studies have explored how incorporating a VM-supported instructional design can help instructors elucidate the abstract concepts of the business model canvas (BMC) to enhance…
Descriptors: Figurative Language, Visual Aids, Visual Learning, Instructional Design
Wang, Yanqing; Wang, Fuxing; Mayer, Richard E.; Hu, Xiangen; Gong, Shaoying – Journal of Computer Assisted Learning, 2023
Background: How to improve learning with online multimedia lessons has attracted widespread concern. Prior studies have attempted to help students learn by breaking a video lesson into several segments. However, there has been a debate about whether learners can use pause time effectively and whether prompting them to engage in different types of…
Descriptors: Multimedia Instruction, Multimedia Materials, Prompting, Documentation
Frank Wehrmann; Raphael Zender – Journal of Computer Assisted Learning, 2025
Background: The role of virtual reality (VR) in education is increasing, which raises questions about VR learning in multi-user settings. While collaborative VR learning, characterised by shared goals and low division of labour, is well-researched, cooperative VR learning, which emphasises role differentiation and task interdependence, remains…
Descriptors: Cooperative Learning, Computer Simulation, Learning Processes, Individualized Instruction
Guo, Lin – Journal of Computer Assisted Learning, 2022
Background: It has been assumed that prompting students to plan, monitor and evaluate their learning process could stimulate strategy use and thereby improve learning outcomes. Objectives: This study aimed to examine the effects of metacognitive prompts on students' self-regulated learning (SRL) and learning outcomes in the context of…
Descriptors: Metacognition, Independent Study, Learning Processes, Outcomes of Education
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
Miller, Robert A.; Stenmark, Cheryl K.; van Ittersum, Kyle – Journal of Computer Assisted Learning, 2020
Dual display desktop computers are becoming more prevalent in the home, workplace, and schools, yet there has been little research into how learning and productivity are impacted by having a second display. One useful method in exploring this question is to measure cognitive load during an intensive learning event. This study compared perceived…
Descriptors: Computers, Computer Peripherals, Visual Aids, Computer System Design
Martin Merkt; Daniel Bodemer – Journal of Computer Assisted Learning, 2024
Background: When watching educational online videos, learners need to determine whether the videos' contents are suitable for learning. Whereas this may induce metacognitive monitoring processes, it may also distract learners from the learning materials. Objectives: In the current set of experiments, we investigated whether asking participants to…
Descriptors: Video Technology, Teaching Methods, Metacognition, Instructional Materials
Jamshidifarsani, Hossein; Tamayo-Serrano, Paul; Garbaya, Samir; Lim, Theodore – Journal of Computer Assisted Learning, 2021
Training design for automatic skills has a vast domain of application, such as education, physical and cognitive rehabilitation, as well as sports, arts and professional training. Gamification concept used in technology-assisted training has the potential to increase motivation, engagement and adherence to the training programme. Currently, the…
Descriptors: Game Based Learning, Models, Computer Assisted Instruction, Task Analysis
Sun, Yanyan; Yan, Zhenping; Wu, Bian – Journal of Computer Assisted Learning, 2022
Background: Guidance has showed positive effects on promoting inquiry-based learning in science education. While an increasing number of studies focus on the design of guidance in simulation-based inquiry learning due to recent technology developments, how different designs of a same type of guidance affect learning remains a question. Objectives:…
Descriptors: Guidance, Inquiry, Active Learning, Simulation
Huang, Weijiao; Hew, Khe Foon; Fryer, Luke K. – Journal of Computer Assisted Learning, 2022
Background: The use of chatbots as learning assistants is receiving increasing attention in language learning due to their ability to converse with students using natural language. Previous reviews mainly focused on only one or two narrow aspects of chatbot use in language learning. This review goes beyond merely reporting the specific types of…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Mediated Communication
Meehan, Maria; McCallig, John – Journal of Computer Assisted Learning, 2019
We apply Carroll's model of school learning, which theorizes about the relationship between time and learning, to motivate the design of a large, first-year, university mathematics course, where students have the choice to attend lectures and/or watch online videos. The theoretical model informs how the course and resources are designed in order…
Descriptors: Time on Task, Video Technology, Learning Processes, Correlation
Yildiz Durak, Hatice – Journal of Computer Assisted Learning, 2018
The aim of this research is to determine the effects and experiences of the use of digital story design activities in teaching applications of programming on academic achievement, participation, and programming self-efficacy. In the study, which is designed through the mixed method, quasi-experimental design is used in the quantitative dimension.…
Descriptors: Teaching Methods, Programming, Academic Achievement, Secondary School Students
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