Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
Descriptor
| Accountability | 1 |
| Accuracy | 1 |
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| Audits (Verification) | 1 |
| Bias | 1 |
| Demography | 1 |
| Electronic Learning | 1 |
| Ethics | 1 |
| Learning Analytics | 1 |
| Models | 1 |
| More ▼ | |
Author
| Bo Pei | 1 |
| Raymond A. Opoku | 1 |
| Wanli Xing | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textRaymond A. Opoku; Bo Pei; Wanli Xing – Journal of Learning Analytics, 2025
While high-accuracy machine learning (ML) models for predicting student learning performance have been widely explored, their deployment in real educational settings can lead to unintended harm if the predictions are biased. This study systematically examines the trade-offs between prediction accuracy and fairness in ML models trained on the…
Descriptors: Prediction, Accuracy, Electronic Learning, Artificial Intelligence
