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Found 7 papers, 5 papers with code
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities
Many machine learning models have been built to tackle information overload issues on Massive Open Online Courses (MOOC) platforms.
IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
The interaction modeling layer is responsible for updating the embedding of a user and an item when the user interacts with the item.
Learning Student Interest Trajectory for MOOC Thread Recommendation
The projection operation learns to estimate future embedding of students and threads.
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset
Recent release of large-scale student performance dataset \cite{choi2019ednet} motivates the analysis of performance of deep learning approaches that have been proposed to solve KT.
Learning Student Interest Trajectory for MOOCThread Recommendation
The projection operation learns to estimate future embedding of students and threads.
RKT : Relation-Aware Self-Attention for Knowledge Tracing
The aim of KT is to model student's knowledge level based on their answers to a sequence of exercises referred as interactions.
A Self-Attentive model for Knowledge Tracing
Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities.
