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cs.AI2026
EduFair-Bench: Evaluating Pedagogical Fairness of LLM Tutors Across Student Demographics
Jiaxu Zhao, Bahar Radmehr, Fares Fawzi +2
Large language models (LLMs) are increasingly deployed as tutors, but it is unclear whether they support all students equally well. We introduce \textbf{EduFair-Bench}, a benchmark…
cs.AI2026
Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models
Dominik Glandorf, Fares Fawzi, Tanja Käser
Learners' use of video controls in educational videos provides implicit signals of cognitive processing and instructional design quality, yet the lack of scalable and explainable p…
cs.AI2026
REFINE: Real-world Exploration of Interactive Feedback and Student Behaviour
Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic +2
Formative feedback is central to effective learning, yet providing timely, individualised feedback at scale remains a persistent challenge. While recent work has explored the use o…