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Showing 1 to 15 of 80 results Save | Export
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Keng-Chih Hsu; Gi-Zen Liu – Journal of Computer Assisted Learning, 2025
Background: Augmented reality (AR) emerges as a technology with considerable promise and substantial potential for pedagogical integration within language education contexts. However, there remains a scarcity of review studies exploring the best practices and principles for oral communication facilitation based on robust theoretical models or…
Descriptors: Computer Simulation, Computer Assisted Design, Verbal Communication, Language Acquisition
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Gerti Pishtari; María Jesús Rodríguez-Triana; Luis P. Prieto; Adolfo Ruiz-Calleja; Terje Väljataga – Journal of Computer Assisted Learning, 2024
Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…
Descriptors: Electronic Learning, Instructional Design, Active Learning, Inquiry
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Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
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Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
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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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Theelen, Hanneke; van Breukelen, Dave H. J. – Journal of Computer Assisted Learning, 2022
Background: Since about 2010 e-learning has been embedded in educational practice and has become, surely due to the COVID-19 pandemic, increasingly important. Objectives: Although much has been written about e-learning, little is known about crucial didactic and pedagogical design principles for e-learning. This review tried to fill that gap.…
Descriptors: Instructional Design, Electronic Learning, Higher Education, COVID-19
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Shuang Li; Jingxi Chen; Sizhuo Liu – Journal of Computer Assisted Learning, 2024
Background: Enhancing the effectiveness of online learning has become a key challenge with regard to the ability of blended learning to reach its full potential. However, mechanisms by which students' self-regulated learning (SRL) skills influence their online learning engagement in blended learning and subsequent learning achievement have yet to…
Descriptors: Blended Learning, Elementary Secondary Education, Self Management, Self Evaluation (Individuals)
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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
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Chung, Chih-Hung; Lin, You Yin – Journal of Computer Assisted Learning, 2022
Background: Most students have exhibited low motivation to engage in traditional learning methods. Additionally, students have difficulty concentrating on the course content, being easily distracted by their smartphones. Objectives: Therefore, we adopted an online 3D gamification problem-based learning (PBL) model to motivate students and improve…
Descriptors: Computer Simulation, Game Based Learning, Problem Based Learning, Human Resources
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Hung, Cheng-Yu; Lin, Yen-Ting; Yu, Shih-Jou; Sun, Jerry Chih-Yuan – Journal of Computer Assisted Learning, 2023
Background: Previous research has examined the use of augmented reality (AR) and virtual reality (VR) in English language teaching. However, to the best of our knowledge, none of the earlier studies that investigated integrating AR and VR "wearables" into teaching and learning English based on the attention, relevance, confidence, and…
Descriptors: Computer Simulation, Simulated Environment, Assistive Technology, Second Language Learning
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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
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Atezaz Ahmad; Jan Schneider; Dai Griffiths; Daniel Biedermann; Daniel Schiffner; Wolfgang Greller; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: During the past decade, the increasingly heterogeneous field of learning analytics has been critiqued for an over-emphasis on data-driven approaches at the expense of paying attention to learning designs. Method and objective: In response to this critique, we investigated the role of learning design in learning analytics through a…
Descriptors: Instructional Design, Learning Analytics, Data Use, Literature Reviews
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Chunqi Li; Lishi Liang; Luke K. Fryer; Alex Shum – Journal of Computer Assisted Learning, 2024
Background: Leaderboards are among the most popular gamification elements in education. Some studies have implemented leaderboards and reported their individual effects on students' learning. Despite the emergence of relevant empirical studies, most of the existing reviews have only investigated the holistic impact of gamification. No previous…
Descriptors: Higher Education, Gamification, Evidence Based Practice, Learning Motivation
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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
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Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
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