Luca Benedetto is a research associate at the University of Cambridge, working in the ALTA institute (Automated Language Teaching and Assessment) and NLIP group, and holds a doctoral degree from Politecnico di Milano (Italy). His research primarily focuses on the applications of Natural Language Processing (NLP) techniques to education, such as automated evaluation and generation of content, and the study of the differences and similarities between knowledge acquisition in human learners and knowledge of Large Language Models.

Andrew Caines is a senior research associate in the NLIP Group & ALTA Institute based in the Computer Laboratory at the University of Cambridge, U.K. His research relates to automated assessment and feedback for learners of English as a second language, as well as the personalisation of education technology and evaluation of the capabilities of large language models. He has previously organised a shared task at the NLP4CALL workshop, the IVACS conference 2024, one-day workshops for early careers researchers, and departmental seminar series.

George Dueñas is a PhD student in the Interinstitutional Doctorate in Education at the National Pedagogical University (Colombia), passionate about using Large Language Models to improve educational experiences. His research explores the intersection of language, education, and computing, focusing on areas such as automatic prediction of item difficulty, automated essay scoring and reading comprehension

Diana Galvan-Sosa is a research associate at the University of Cambridge, working in the ALTA institute (Automated Language Teaching and Assessment) and NLIP group, and holds a doctoral degree from Tohoku University (Japan). Her research interests include Natural Language Processing, particularly knowledge acquisition and applications of NLP to education such as feedback generation for L2 (second language) learners

Anastassia Loukina, is an Engineering Manager at Grammarly, Inc. She leads a cross-functional team responsible for building tools to monitor the quality of Grammarly AI systems. Before joining Grammarly, Anastassia was a senior research scientist in the Research and Development division at Educational Testing Service (ETS) in Princeton, NJ, where she worked on improving the validity, reliability, and fairness of speech-based educational applications. She has published over 60 papers and book chapters, holds several patents, and frequently attends international conferences and workshops. Before joining ETS, Anastassia worked at the Oxford University Phonetics Laboratory, where she conducted research and taught graduate and undergraduate courses in linguistics and phonetics. She holds an MPhil and DPhil from the University of Oxford.

Shiva Taslimipoor is a senior research associate in the NLIP group and ALTA institute at the University of Cambridge, and holds a doctoral degree from University of Wolverhampton. Her research lies in the intersection of NLP and machine learning and at ALTA she works on machine learning technologies for language teaching and assessment. Following her work on Cloze item generation, her research is now more focused on educational content creation and evaluation.

Torsten Zesch is a full professor of Computational Linguistics at the Center of Advanced Technology for Assisted Learning and Predictive Analytics (CATALPA) at FernUniversit ̈at in Hagen, Germany. He holds a doctoral degree in computer science from Technische Universit ̈at Darmstadt and was the president of the German Society for Computational Linguistics and Language Technology (GSCL) from 2017 to 2023. His main research interests are in educational natural language processing, in particular the ways in which teaching and learning processes can be supported by language technology and AI. For this purpose, he develops methods for the automatic analysis of textual and multimodal language data, with a focus on robust and explainable models