
About
Céline JOIRON is a Lecturer at the University of Picardie Jules Verne (UPJV) associated with the research unit UR 4290. Her work focuses on Optimization, Cryptography, and Artificial Intelligence (AI) within the OCIA domain.
Research Interests: Combining AI with educational technology to develop data-driven approaches for item difficulty prediction and optimization problems. She contributes to intelligent tutoring systems and computational methods in cryptography.
Recent Publication:
- Exploring Item Difficulty Prediction (2024) - Presented at the International Conference on Intelligent Tutoring Systems, exploring data-driven methods for educational item difficulty estimation.
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