2 citations · 5 across the 16 of their papers we have counts for
6 papers · 1 filter
The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment
Donya Rooein, Luca Benedetto, Dirk Hovy
Large Language Models are now common in student assessment, but we know little about how student demographics affect their use. Sometimes, considering student demographics may be n…
Symphony of Bias: Exploring Gender Associations with Musical Instruments in Multimodal LLMs
Farhan Farsi, Shayan Bali, Mohammad Heydari Rad +2
Large language models (LLMs) are increasingly embedded in everyday life and widely used for information seeking, raising concerns about their potential to perpetuate social biases…
Incentives Of EdTech: A Systematic Review Of EduNLP Research
Gabrielle Gaudeau, Aoife O'Driscoll, Jasper Degraeuwe +3
While the Natural Language Processing community has dedicated significant resources in developing educational technologies (EdTech) that support this shift, it remains unclear whos…
GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns
Sankalan Pal Chowdhury, Junling Wang, Donya Rooein +2
Several educational domains rely heavily on diagrams and visual cues, yet most existing tutoring datasets are limited to text-only interactions. This limits the development of AI t…
Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation
Yanick Zengaffinen, Andreas Opedal, Donya Rooein +3
Modeling student misconceptions in a realistic manner is critical for AI in education. In this work, we examine how large language models (LLMs) reason about misconceptions when ge…
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva +4
Recent advances in large language models (LLMs) demonstrate their potential as educational tutors. However, different tutoring strategies benefit different student personalities, a…