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
| Barriers | 1 |
| Competence | 1 |
| Computation | 1 |
| Cooperation | 1 |
| Creativity | 1 |
| Educational Research | 1 |
| Electronic Learning | 1 |
| Inferences | 1 |
| Information Skills | 1 |
| Interaction | 1 |
| Media Adaptation | 1 |
| More ▼ | |
Source
| Journal of Computer Assisted… | 1 |
Author
| Andrea Ramírez-Salgado | 1 |
| Bowen Wang | 1 |
| Christine Wusylko | 1 |
| Eric Wright | 1 |
| Jennifer Moses | 1 |
| Jie Lu | 1 |
| Lauren Weisberg | 1 |
| Marc Francois | 1 |
| Russell Almond | 1 |
| Seyedahmad Rahimi | 1 |
| Ted Myers | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkSeyedahmad Rahimi; Russell Almond; Andrea Ramírez-Salgado; Christine Wusylko; Lauren Weisberg; Yukyeong Song; Jie Lu; Ted Myers; Bowen Wang; Xiaomaon Wang; Marc Francois; Jennifer Moses; Eric Wright – Journal of Computer Assisted Learning, 2024
Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…
Descriptors: Competence, Models, Research Methodology, Research Design
