6 papers
PIVOT: Preference-based Intervention Vectors for Pedagogical Tutor Steering
Fares Fawzi, Jiaxu Zhao, Tanya Nazaretsky +1
LLMs are increasingly used for conversational tutoring, but effective tutoring requires more than correct answers. Tutors must choose when to scaffold reasoning, hint, give feedbac…
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…
Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning
Fatma Betül GüreÅ, Tanya Nazaretsky, Seyed Parsa Neshaei +1
Supporting students in developing diagnostic reasoning is a key challenge across educational domains. Novices often face cognitive biases such as premature closure and over-relianc…
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…
SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling
Fares Fawzi, Vinitra Swamy, Dominik Glandorf +2
Language models can be used to provide interactive, personalized student feedback in educational settings. However, real-world deployment faces three key challenges: privacy concer…
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…