4 papers
Bias and Reliability in Learning-Style Inference from Student--AI Dialogues: An Evaluation of GPT-4o and Gemini 2.0 Flash
Samaneh Zamanifard, Sajad Goudarzi, Andrew Robb
Large Language Models (LLMs) are increasingly integrated into educational technologies for personalized support, creating opportunities for real-time learner modeling from dialogue…
Mathematical Transfer in LLMs Follows Reasoning Approach More Than Topic
Sajad Goudarzi, Samaneh Zamanifard, Seyed Amin Seyed Haeri +2
When selecting mathematical training data for LLMs, a natural organizing principle is topic: probability examples for probability targets. An alternative is reasoning approach: wor…
Math Reasoning in LLMs is Organized by Approach, Not Topic
Sajad Goudarzi, Samaneh Zamanifard, Moloud Nasiri +1
Mathematical reasoning benchmarks are typically organized by topic, but language models may organize their internal computation by reusable reasoning approach instead. In this pape…
Beyond Play and Pause: Turning GPT-4o Spatial Weakness into a Strength for In-Depth Interactive Video Learning
Sajad Goudarzi, Samaneh Zamanifard
Traditional video-based learning remains passive, offering limited opportunities for users to engage dynamically with content. While current AI-powered tools offer transcription an…