5 citations · 13 across the 4 of their papers we have counts for
4 papers
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…
Capturing "attrition intensifying" structural traits from didactic interaction sequences of MOOC learners
Tanmay Sinha, Nan Li, Patrick Jermann +1
This work is an attempt to discover hidden structural configurations in learning activity sequences of students in Massive Open Online Courses (MOOCs). Leveraging combined represen…
Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions
Tanmay Sinha, Patrick Jermann, Nan Li +1
In this work, we explore video lecture interaction in Massive Open Online Courses (MOOCs), which is central to student learning experience on these educational platforms. As a rese…