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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 |
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