Domain-Adaptive Pre-training for Automated Short Answer Grading in Conceptual Physics: Reliability, Question-Level Analysis, and Error Reduction

Shirin Lade, Alistair Willis, Jonathan Nylk, Oli Howson. Domain-Adaptive Pre-training for Automated Short Answer Grading in Conceptual Physics: Reliability, Question-Level Analysis, and Error Reduction. In Ekaterina Kochmar, Bashar Alhafni, Stefano BannĂ², Marie Bexte, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Anais Tack, Victoria Yaneva, Zheng Yuan 0003, editors, Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2026, San Diego, California, USA, July 3-4, 2026. pages 635-650, Association for Computational Linguistics, 2026. [doi]

Abstract

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