Workshop on Automated Evaluation of Learning and Assessment Content

The evaluation of learning and assessment content has always been a crucial task in the educational domain, but traditional approaches based on human feedback are not always usable in modern educational settings. Indeed, the advent of machine learning models, in particular Large Language Models (LLMs), enabled to quickly and automatically generate large quantities of texts, making human evaluation unfeasible. Still, these texts are used in the educational domain -- e.g., as questions, hints, or even to score and assess students -- and thus the need for accurate and automated techniques for evaluation becomes pressing. This hybrid workshop aims to attract professionals from both academia and the industry, and to to offer an opportunity to discuss which are the common challenges in evaluating learning and assessment content in education.