3 citations · 4 across the 4 of their papers we have counts for
4 papers
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
Hyeongdon Moon, Richard Davis, Seyed Parsa Neshaei +1
Knowledge tracing models have enabled a range of intelligent tutoring systems to provide feedback to students. However, existing methods for knowledge tracing in learning sciences…
Towards Modeling Learner Performance with Large Language Models
Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh +3
Recent work exploring the capabilities of pre-trained large language models (LLMs) has demonstrated their ability to act as general pattern machines by completing complex token seq…
A Click Ahead: Real-Time Forecasting of Keyboard and Mouse Actions using RNNs and Computer Vision
Fabio Matti, Pierre Dillenbourg, Ludovico Novelli
Computer input is more complex than a sequence of single mouse clicks and keyboard presses. We introduce a novel method to identify and represent the user interactions and build a…
Learning styles: Literature versus machine learning
Farah Bouassida, Łukasz Kidziński, Pierre Dillenbourg
Every teacher understands that different students benefit from different activities. Recent advances in data processing allow us to detect and use behavioral variability for adapti…