SGombert / edutec-bea-shared-task-2024

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edutec-bea-shared-task-2024

Our submission for the BEA 2024 Shared Task on Predicting Item Difficulty and Item Response Time.

If you use this code for scientific purposes, please cite:

Gombert, S., Menzel, L., Di Mitri, D., & Drachsler, H. (2024, June). Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads. Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). Mexico City, Mexico: Association for Computational Linguistics.

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