Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 4 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 5 |
Descriptor
Source
| Journal of Computer Assisted… | 6 |
Author
| Chan, Kan Kan | 1 |
| Fatima's Mohamed Asiri | 1 |
| Frank Wehrmann | 1 |
| Fukuda, Mari | 1 |
| Hajian, Shiva | 1 |
| Jain, Misha | 1 |
| Li, Wenyi | 1 |
| Liang, Zhong-Mei | 1 |
| Lin, Xiao-Fan | 1 |
| Ling, Xiaolan | 1 |
| Liu, Arita L. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 3 |
| Reports - Descriptive | 2 |
| Information Analyses | 1 |
Education Level
Audience
Location
| Saudi Arabia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Liu, Arita L.; Hajian, Shiva; Jain, Misha; Fukuda, Mari; Obaid, Teeba; Nesbit, John C.; Winne, Philip H. – Journal of Computer Assisted Learning, 2022
Background: Guidance during inquiry learning plays an important role in developing conceptual understanding and inquiry skills. This study analysed learner-tutor interactions in a simulation-assisted learning environment to investigate how tutor guidance enabled knowledge construction and fostered epistemic practice. Objectives: This research…
Descriptors: Inquiry, Interaction, Teacher Student Relationship, Barriers
Lin, Xiao-Fan; Liang, Zhong-Mei; Chan, Kan Kan; Li, Wenyi; Ling, Xiaolan – Journal of Computer Assisted Learning, 2022
Background: The contextual and interactive learning research was motivated by the need to enhance the healthcare training effect of caregivers of patients with suspected COVID-19 infection during quarantine. However, there is a lack of effective approaches to integrating mobile contextual learning into interactive learning. Objectives: Therefore,…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
Wafa Mohammed Aldighrir; Fatima's Mohamed Asiri – Journal of Computer Assisted Learning, 2025
Background: As educational institutions increasingly operate as multicultural hubs, leaders must navigate the complexities of cultural differences, language barriers and diverse learning styles in digital environments. These challenges are amplified by the lack of non-verbal cues and the asynchronous nature of online communication, which can lead…
Descriptors: Foreign Countries, Test Construction, Measures (Individuals), Test Validity
van Schaik, P.; Martin, S.; Vallance, M. – Journal of Computer Assisted Learning, 2012
In contexts other than immersive virtual environments, theoretical and empirical work has identified flow experience as a major factor in learning and human-computer interaction. Flow is defined as a "holistic sensation that people feel when they act with total involvement". We applied the concept of flow to modeling the experience of…
Descriptors: Structural Equation Models, Interaction, Problem Solving, Psychometrics
Peer reviewedPilkington, R. – Journal of Computer Assisted Learning, 1998
Discussion of the interaction between students and computers focuses on an evaluation of simulation-based learning with medical students in order to develop a framework for a dialog-based support system. It is based on a dialog analysis that employs transactional analysis and logical dialog game theory. (Author/LRW)
Descriptors: Computer Assisted Instruction, Computer Simulation, Game Theory, Higher Education

Direct link
