Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Accuracy | 2 |
| Algorithms | 2 |
| Comparative Analysis | 2 |
| Foreign Countries | 2 |
| Academic Language | 1 |
| Alignment (Education) | 1 |
| Artificial Intelligence | 1 |
| Automation | 1 |
| Classification | 1 |
| Coding | 1 |
| Computer Science Education | 1 |
| More ▼ | |
Source
| Journal of Learning Analytics | 2 |
Author
| Conijn, Rianne | 1 |
| Kahr, Patricia | 1 |
| Martinez-Maldonado, Roberto | 1 |
| Pishtari, Gerti | 1 |
| Prieto, Luis P. | 1 |
| Rodriguez-Triana, Maria Jesus | 1 |
| Snijders, Chris | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| Estonia | 1 |
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Conijn, Rianne; Kahr, Patricia; Snijders, Chris – Journal of Learning Analytics, 2023
Ethical considerations, including transparency, play an important role when using artificial intelligence (AI) in education. Explainable AI has been coined as a solution to provide more insight into the inner workings of AI algorithms. However, carefully designed user studies on how to design explanations for AI in education are still limited. The…
Descriptors: Ethics, Writing Evaluation, Artificial Intelligence, Essays
Pishtari, Gerti; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Martinez-Maldonado, Roberto – Journal of Learning Analytics, 2022
This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…
Descriptors: Scaling, Classification, Context Effect, Telecommunications

Peer reviewed
