5 papers
Evaluating Inquiry Learning in LLM-Based Agents: Hypothesizing, Reasoning, and Exploration
Marta Knežević, Seyed Parsa Neshaei, Jibril Frej +2
Scientific inquiry involves iterative cycles of exploration, hypothesis generation, and reasoning over observations to uncover relationships in complex systems. Large language mode…
The Missing Layer: Why EdTech Needs Design-Time Generative UI, Not Just Runtime Personalization
Seyed Parsa Neshaei, Abhinand Shibu, Fatma Betül Güres
The dominant paradigm in using generative UI (GenUI) for adaptive EdTech considers the use of AI as a runtime engine: content is authored once in a fixed form, and AI adapts delive…
Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning
Fatma Betül Güreş, 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…
Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection
Seyed Parsa Neshaei, Richard Lee Davis, Tanja Käser
Reflective writing is known to support the development of students' metacognitive skills, yet learners often struggle to engage in deep reflection, limiting learning gains. Althoug…