Publication Date
| In 2026 | 0 |
| Since 2025 | 75 |
| Since 2022 (last 5 years) | 268 |
| Since 2017 (last 10 years) | 442 |
| Since 2007 (last 20 years) | 722 |
Descriptor
Source
| Journal of Computer Assisted… | 990 |
Author
| Makransky, Guido | 7 |
| Gaševic, Dragan | 5 |
| Liu, Gi-Zen | 5 |
| Nussbaum, M. | 5 |
| Chen, W. | 4 |
| Gwo-Jen Hwang | 4 |
| Hoyles, C. | 4 |
| Koper, R. | 4 |
| Scanlon, E. | 4 |
| Valcke, M. | 4 |
| Wang, Y.-H. | 4 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 28 |
| Practitioners | 10 |
| Teachers | 7 |
| Administrators | 1 |
| Students | 1 |
Location
| United Kingdom | 35 |
| China | 24 |
| Taiwan | 21 |
| United Kingdom (England) | 15 |
| Netherlands | 13 |
| Australia | 12 |
| United Kingdom (Great Britain) | 12 |
| Norway | 8 |
| Turkey | 7 |
| Germany | 6 |
| Singapore | 6 |
| More ▼ | |
Laws, Policies, & Programs
| Equal Access | 1 |
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
| Program for International… | 3 |
| Computer Attitude Scale | 2 |
| Academic Motivation Scale | 1 |
| Learning Style Inventory | 1 |
| National Survey of Student… | 1 |
| Vineland Adaptive Behavior… | 1 |
What Works Clearinghouse Rating
Qin Wang; Yanping Li – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR), augmented reality (AR) and mixed reality (MR) have sparked recently in improving the effectiveness of teacher education. However, there is a lack of review regarding the utilisation of these technologies in this field. These three technologies, namely VR, AR and MR, can be collectively referred to as extended…
Descriptors: Computer Simulation, Technology Uses in Education, Teaching Methods, Educational Improvement
Alyssa P. Lawson; Richard E. Mayer – Journal of Computer Assisted Learning, 2024
Background: Immersive virtual reality (IVR) is a new technology that could motivate learners, but also could contain distracting elements that increase cognitive demands on learners. In contrast, learning with conventional media, such as a narrated slideshow could be less motivating, but also less distracting. Objectives: This experiment…
Descriptors: Computer Simulation, Individual Differences, Learning, Executive Function
Changqin Huang; Jianhui Yu; Fei Wu; Yi Wang; Nian-Shing Chen – Journal of Computer Assisted Learning, 2024
Background: Investigating emotion sequence patterns in the posts of discussion forums in massive open online courses (MOOCs) holds a vital role in shaping online interactions and impacting learning achievement. While the majority of research focuses on the relationship between emotions and interactions in MOOC forum discussions, research on…
Descriptors: MOOCs, Discussion Groups, Computer Mediated Communication, Learning Processes
Tiphaine Colliot; Abraham E. Flanigan – Journal of Computer Assisted Learning, 2024
Background: Many instructors transitioned their courses from face-to-face environments to computer-mediated learning environments (CMLEs) following the onset of the coronavirus disease 2019 (COVID-19) pandemic. However, little was known about how teleconferencing platforms and their corresponding functions affect student learning when the COVID-19…
Descriptors: Reading Processes, Notetaking, Video Technology, Lecture Method
Van Ginkel, Stan; Ruiz, Dominic; Mononen, Asko; Karaman, Cendel; de Keijzer, Ander; Sitthiworachart, Jirarat – Journal of Computer Assisted Learning, 2020
Feedback plays a central role in learning. Crucial to this is the nature and timing of the feedback. This experimental study explores the efficacy of immediate computer-mediated feedback within a virtual reality environment designed to facilitate the development of pre-university students' presentation skills. Two conditions were established to…
Descriptors: Feedback (Response), Teaching Methods, Computer Mediated Communication, Instructional Effectiveness
Slezaka, Robert J.; Keren, Nir; Gilbert, Stephen B.; Harvey, Matthew E.; Ryan, Saxon J.; Wiley, Alex J. – Journal of Computer Assisted Learning, 2023
Industrial systems can be complex and not intuitive to perceive. Therefore, students in technology and engineering programs can benefit from developing mental models of industrial systems during their journey in college. However, more often than not, these students do not have access to industrial facilities; thus, developing mental models for…
Descriptors: Computer Simulation, Schemata (Cognition), Industry, Technology Education
Wang, Wei-Sheng; Cheng, Yu-Ping; Lee, Hsin-Yu; Lin, Chia-Ju; Huang, Yueh-Min – Journal of Computer Assisted Learning, 2023
Background: Benefited from advances in technology, virtual reality (VR) has been widely applied to learning content in operational training as well as hands-on courses. However, most current studies tend to evaluate learning effectiveness in this application, and few were focused on how learners can be benefited from transferring the knowledge…
Descriptors: Computer Simulation, Learning, Experiential Learning, Anxiety
Farzaneh Sheikhzadeh; Rasool Abedanzadeh; Eliot Hazeltine – Journal of Computer Assisted Learning, 2025
Background: Today, active video games, in which players' own body movements are used to control the avatar, can be used to teach students motor skills by providing concurrent feedback. The purpose of this study is to investigate the effectiveness of concurrent and delayed feedback on basketball free throw learning. Methods: Thirty female students…
Descriptors: Team Sports, Student Athletes, Females, Athletics
Peer Interactions during Computer-Supported Collaborative Learning: A Self-Determination Perspective
Anouschka van Leeuwen; Lisette Hornstra; Jeroen Janssen; En Ning Leow – Journal of Computer Assisted Learning, 2025
Background: Computer-supported collaborative learning (CSCL) environments are hypothesised to offer a learning environment that satisfies basic psychological needs for autonomy, relatedness and competence, subsequently improving learning and motivational outcomes. However, the underlying mechanism of how basic psychological needs are fulfilled…
Descriptors: Peer Relationship, Interaction, Computer Assisted Instruction, Cooperative Learning
Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
Meiyan Huang; Tang Yongquan – Journal of Computer Assisted Learning, 2025
Aim: In recent years, the integration of cutting-edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting-edge technology on enhancing performance, efficiency, and outcomes in professional ST programs. Purpose: The purpose of…
Descriptors: Athletics, Technology, Influence of Technology, Training
Cynthia Y. Delgado; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Background: In recent years, immersive virtual reality in education has garnered attention, however, there have been mixed findings on the efficacy of IVR in education. Thus, exploring which strategies are effective in transferring learning from IVR to real-world applications is imperative. Objective: This study aims to investigate the efficacy of…
Descriptors: Computer Simulation, Experiential Learning, Instructional Effectiveness, Transfer of Training
Yiwen Jin; Lies Sercu – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence has been reshaping many industries, and education is no exception. When ChatGPT burst onto the scene in late 2022, it ignited conversations among educators and researchers alike. Despite growing interest and experimentation with this technology in university classrooms, the field has been missing a comprehensive…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Higher Education
Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
Tiphaine Colliot; Jean-Michel Boucheix – Journal of Computer Assisted Learning, 2024
Background: Previous studies have shown that dynamic illustrations, as compared to their static counterparts, lead to higher achievement levels, especially for hand-based procedures. Other researchers have investigated how the presence of seductive details (i.e., appealing but irrelevant adjunct displays) influences students' interest positively…
Descriptors: Illustrations, Animation, Handicrafts, Elementary School Students

Peer reviewed
Direct link
