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Faruk Arici; Rabia Meryem Yilmaz – Journal of Computer Assisted Learning, 2025
Background: Inquiry-based learning (IbL) has significantly contributed to science education, and this impact can be enhanced with technology. Augmented Reality (AR) offers 3D visualisation and interactive experiences, whereas Video-based Learning (VbL) provides narratives with visual and audio support. Both methods aid students in exploring,…
Descriptors: Simulated Environment, Computer Simulation, Video Technology, Inquiry
Makransky, Guido; Klingenberg, Sara – Journal of Computer Assisted Learning, 2022
Objective: Many industries struggle with training dynamic risk assessment, and how to bridge the gap between safety training and behavior in real life scenarios. In this article, we focus on dynamic risk assessment during a mooring operation and investigate the potential value of using immersive virtual reality (VR) simulations compared to…
Descriptors: Computer Simulation, Safety Education, Marine Education, Job Training
Tianqi Huang; Zhenan Feng; Daniel Paes; Fei Ying; Xilei Zhao; Max Kinateder; E. R. Langer; Ruggiero Lovreglio – Journal of Computer Assisted Learning, 2025
Background: Wildfires have become increasingly frequent and destructive, highlighting the need for more effective public education on safety and preparedness. Gamification, the use of game design elements in non-game contexts, offers a promising strategy to enhance learner engagement and educational effectiveness compared to traditional methods.…
Descriptors: Natural Disasters, Fire Protection, Safety Education, Gamification
Ling Li; Chang-Qin Huang – Journal of Computer Assisted Learning, 2024
Background Study: As flipped learning is a flexible pedagogical methodology to tailor students' needs and maximize the learning effects, this study integrated peer learning with MosoTeach-supported flipped mode in an undergraduate blended EFL course. MosoTeach is a popular online learning platform in China with a variety of learning resources.…
Descriptors: Flipped Classroom, Peer Teaching, Undergraduate Students, Blended Learning
Explaining Trace-Based Learner Profiles with Self-Reports: The Added Value of Psychological Networks
Jelena Jovanovic; Dragan Gaševic; Lixiang Yan; Graham Baker; Andrew Murray; Danijela Gasevic – Journal of Computer Assisted Learning, 2024
Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…
Descriptors: Psychological Patterns, Networks, Profiles, Learning Processes
Huang, Wen; Roscoe, Rod D.; Johnson-Glenberg, Mina C.; Craig, Scotty D. – Journal of Computer Assisted Learning, 2021
This study investigated changes in learners' motivation, engagement, performance, and spatial reasoning over time and across different levels of virtual reality (VR) immersion. Undergraduate participants explored a virtual solar system via a moderately immersive or highly immersive VR platform over three sessions. In a third condition,…
Descriptors: Student Motivation, Learner Engagement, Academic Achievement, Computer Simulation
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
Pi, Zhongling; Deng, Lixia; Wang, Xu; Guo, Peirong; Xu, Tao; Zhou, Yun – Journal of Computer Assisted Learning, 2022
Background: Video lectures which include the instructor's presence are becoming increasingly popular. Presenting a real human does, however, entail higher financial and time costs in making videos, and one innovative approach to reduce costs has been to generate a virtual speaking instructor. Objectives: The current study examined whether the use…
Descriptors: Video Technology, Lecture Method, Computer Simulation, Instructional Effectiveness
Jia Li; Novera Roihan; Matthew McGravey – Journal of Computer Assisted Learning, 2025
Background: Online learning has become a popular form of education. Prior to the COVID-19 pandemic, online learning was mainly associated with higher education, with an incremental growth at the K-12 level. The pandemic changed this situation rapidly. Online instruction has been increasingly integrated into secondary schools and has significantly…
Descriptors: High School Students, Student Attitudes, Electronic Learning, Student Experience
Alamer, Abdullah; Al Khateeb, Ahmed; Jeno, Lucas M. – Journal of Computer Assisted Learning, 2023
Background: Mobile-assisted language learning (MALL) has long been advocated to promote students' language study outcomes. However, little is known about how using instant messaging applications (an example of MALL) affect student motivation, language anxiety, and actual achievement. Objectives: To help close this gap, we have conducted a…
Descriptors: Foreign Countries, College Students, Synchronous Communication, Handheld Devices
Linghong Li; Martin Valcke; Linda Badan; Christoph Anderl – Journal of Computer Assisted Learning, 2024
Background study: Chinese tone pronunciation instruction gains increasingly attention and various instructional strategies have been studied to develop effective tones in students. Students usually listen to successful pronunciation stimuli provided by the teacher or peers, to be copied by themselves. However, individuals seem more sensitive to…
Descriptors: Second Language Instruction, Second Language Learning, Chinese, Intonation
Joshua Weidlich; Aron Fink; Ioana Jivet; Jane Yau; Tornike Giorgashvili; Hendrik Drachsler; Andreas Frey – Journal of Computer Assisted Learning, 2024
Background: Developments in educational technology and learning analytics make it possible to automatically formulate and deploy personalized formative feedback to learners at scale. However, to be effective, the motivational and emotional impacts of such automated and personalized feedback need to be considered. The literature on feedback…
Descriptors: Emotional Response, Student Motivation, Feedback (Response), Automation
Esnaashari, Shadi; Gardner, Lesley A.; Arthanari, Tiru S.; Rehm, Michael – Journal of Computer Assisted Learning, 2023
Background: It is vital to understand students' Self-Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable-oriented approach. Moreover, little has been known about the unfolding process of students' SRL…
Descriptors: Metacognition, Student Attitudes, Learning Strategies, Questionnaires
Berrin Köseoglu; Alev Ates Çobanoglu – Journal of Computer Assisted Learning, 2025
Background: Reading is a multifaceted skill that plays a crucial role in language acquisition. The acquisition of this skill can be influenced by various instructional strategies and methods. There are studies in literature that show the effect of blended or collaborative teaching methods on reading skills; however, there is a lack of studies that…
Descriptors: Blended Learning, Reading Instruction, Reading Comprehension, High School Students
Gao, Fei; Zhao, Na; Li, Xiumei – Journal of Computer Assisted Learning, 2020
This study was conducted to examine how a collaborative social annotation tool can be used to support collaborative learning in translation instruction for EFL students. Participants were 100 undergraduate students who were English majors in a southeast university in China. An experiment with crossover design was carried out to examine the…
Descriptors: Translation, Student Motivation, Student Attitudes, Cooperative Learning

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