191 citations · 387 across the 6 of their papers we have counts for
4 papers · 1 filter
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities
Shalini Pandey, Jaideep Srivastava
Many machine learning models have been built to tackle information overload issues on Massive Open Online Courses (MOOC) platforms. These models rely on learning powerful represent…
IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
Shalini Pandey, George Karypis, Jaideep Srivasatava
Recommending relevant items to users is a crucial task on online communities such as Reddit and Twitter. For recommendation system, representation learning presents a powerful tech…
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset
Shalini Pandey, George Karypis, Jaideep Srivastava
Knowledge tracing (KT) is the problem of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities. It is an active resear…
Learning Student Interest Trajectory for MOOCThread Recommendation
Shalini Pandey, Andrew Lan, George Karypis +1
In recent years, Massive Open Online Courses (MOOCs) have witnessed immense growth in popularity. Now, due to the recent Covid19 pandemic situation, it is important to push the lim…