6 citations · 7 across the 4 of their papers we have counts for
5 papers
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…
How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning
Fatma Betül Güreş, Tanya Nazaretsky, Bahar Radmehr +2
Supporting students in developing effective diagnostic reasoning is a key challenge in various educational domains. Novices often struggle with cognitive biases such as premature c…
ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs
Bahar Radmehr, Ekaterina Shved, Fatma Betül Güreş +2
Clickstream data from digital learning environments offer valuable insights into students' learning behaviors, but are challenging to interpret due to their high dimensionality and…
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
Bahar Radmehr, Adish Singla, Tanja Käser
There has been a growing interest in developing learner models to enhance learning and teaching experiences in educational environments. However, existing works have primarily focu…
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
Vinitra Swamy, Bahar Radmehr, Natasa Krco +2
Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainab…