Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Computer Simulation | 2 |
Learning Analytics | 2 |
Affordances | 1 |
Artificial Intelligence | 1 |
Assignments | 1 |
At Risk Students | 1 |
Bibliometrics | 1 |
Content Analysis | 1 |
Context Effect | 1 |
Identification | 1 |
Integrated Learning Systems | 1 |
More ▼ |
Source
IEEE Transactions on Learning… | 2 |
Author
Chen, Xieling | 1 |
Dougiamas, Martin | 1 |
Huynh, Du Q. | 1 |
Olive, David Monllao | 1 |
Reynolds, Mark | 1 |
Wang, Fu Lee | 1 |
Wiese, Damyon | 1 |
Xie, Haoran | 1 |
Zou, Di | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Information Analyses | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chen, Xieling; Zou, Di; Xie, Haoran; Wang, Fu Lee – IEEE Transactions on Learning Technologies, 2023
Research on Educational Metaverse (Edu-Metaverse) has developed into an active research field. Based on 310 academic papers published from 2004 to 2022, this study identifies contributors, scientific cooperations, and research themes using bibliometrics, social network analysis, topic modeling, and keyword analysis. Results suggest that…
Descriptors: Computer Simulation, Technology Uses in Education, Bibliometrics, Social Networks
Olive, David Monllao; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – IEEE Transactions on Learning Technologies, 2019
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the course structure, how the activities are assessed or whether the course is entirely online or a…
Descriptors: Prediction, Identification, At Risk Students, Online Courses