Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Artificial Intelligence | 1 |
| At Risk Students | 1 |
| Bias | 1 |
| Classification | 1 |
| Learning Analytics | 1 |
| Mathematics | 1 |
| Models | 1 |
| Prediction | 1 |
| Statistical Analysis | 1 |
Source
| International Educational… | 1 |
Author
| Hu, Qian | 1 |
| Rangwala, Huzefa | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textHu, Qian; Rangwala, Huzefa – International Educational Data Mining Society, 2020
Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…
Descriptors: Artificial Intelligence, Bias, Learning Analytics, Statistical Analysis
