dc.contributor.author | Arrar, Salah | |
dc.date.accessioned | 2025-03-19T09:54:39Z | |
dc.date.available | 2025-03-19T09:54:39Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14571 | |
dc.description.abstract | This contribution takes a pragmatic approach to highlight a range of techniques and strategies aimed at developing critical skills among French language teachers, enabling them to analyze AI-generated results with an awareness of inherent biases and potential pitfalls. We emphasize educational and pedagogical approaches grounded in the art of prompt engineering, viewed as a powerful tool to mitigate the impact of bias on research outcomes | fr_FR |
dc.title | Demystifying Artificial Intelligence Biases through the Design of Effective Prompts in Teacher Education | fr_FR |
dc.type | Presentation | fr_FR |