3 papers
cs.HC2026
Tailoring Scaffolding to Diagnostic Strategies: Theory-Informed LLM-Based Agents
Fatma Betul Gures, Tanya Nazaretsky, Tanja Kaser
Learning analytics systems increasingly integrate large language models (LLMs) to provide adaptive scaffolding in complex learning environments, yet personalization is often driven…
cs.AI2025
ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs
Bahar Radmehr, Ekaterina Shved, Fatma Betül GüreŠ+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…
cs.CY2025
How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning
Fatma Betül GüreÅ, 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…