معرفی
Dr Luca Benedetto is a Research Fellow in the Department of Computer Science and Technology at the University of Cambridge. His work focuses on applying Natural Language Processing (NLP), Machine Learning, and Artificial Intelligence to educational technology, particularly in areas such as question difficulty estimation, large language model (LLM) applications in language teaching, and automated assessment systems.
His research themes include:
- Natural Language Processing for language assessment
- Machine Learning-driven curriculum design
- AI-enhanced educational tools for personalized learning
Key contributions include developing frameworks for estimating question difficulty using knowledge graphs and transformers, simulating student exam responses via LLMs, and creating the Cambridge Multiple-Choice Questions Reading Dataset. His work bridges computational methods with practical educational needs, aiming to improve automated evaluation and adaptive learning systems.
Dr Benedetto is affiliated with the William Gates Building at the University of Cambridge and can be reached at lb990@cam.ac.uk.
