6 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
ClickSight: An LLM Framework for Interpreting Student Clickstreams Through Learning Strategies
Bahar Radmehr, Lan Tran, Ekaterina Shved +3
Digital learning environments produce rich clickstream data that can reveal how students approach learning tasks, yet interpreting these fine-grained traces often requires substant…
To Align Long, Plan Short: Simulating Diverse Profile-Aligned Students by Realizing Short-Term Plans in Long-Horizon Learning Environments
Bahar Radmehr, Jiaxu Zhao, Fatma Betül Güreş +2
Simulated students offer a scalable way to test learning platforms and AI tutors before deployment with real students and to augment scarce data for studying learning at scale. Exi…
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…
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…