Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Bayesian Statistics | 1 |
| Chemistry | 1 |
| Computer Simulation | 1 |
| Employees | 1 |
| Evaluation | 1 |
| Feedback (Response) | 1 |
| Information Technology | 1 |
| Learning Analytics | 1 |
| Reflection | 1 |
| Self Efficacy | 1 |
| Social Influences | 1 |
| More ▼ | |
Source
| Journal of Computer Assisted… | 1 |
Author
| Bert Slof | 1 |
| Liesbeth Kester | 1 |
| Marieke van der Schaaf | 1 |
| Ryo Toyoda | 1 |
| Sofia Garcia Fracaro | 1 |
| Timothy Gallagher | 1 |
| Yusra Tehreem | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Timothy Gallagher; Bert Slof; Marieke van der Schaaf; Ryo Toyoda; Yusra Tehreem; Sofia Garcia Fracaro; Liesbeth Kester – Journal of Computer Assisted Learning, 2024
Background: The potential of learning analytics dashboards in virtual reality simulation-based training environments to influence occupational self-efficacy via self-reflection phase processes in the Chemical industry is still not fully understood. Learning analytics dashboards provide feedback on learner performance and offer points of comparison…
Descriptors: Learning Analytics, Self Efficacy, Reflection, Chemistry

Peer reviewed
Direct link
