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05/10/2023
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning
Adaptive learning is an area of educational technology that consists in ...
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01/03/2023
Multidimensional Item Response Theory in the Style of Collaborative Filtering
This paper presents a machine learning approach to multidimensional item...
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12/20/2022
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems
Factorization machines (FMs) are a powerful tool for regression and clas...
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07/07/2022
Privacy-Preserving Synthetic Educational Data Generation
Institutions collect massive learning traces but they may not disclose i...
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12/15/2021
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
Intelligent Tutoring Systems have become critically important in future ...
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05/14/2019
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
Spaced repetition is among the most studied learning strategies in the c...
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11/08/2018
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Knowledge tracing is a sequence prediction problem where the goal is to ...
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09/24/2018
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing
In Intelligent Tutoring System (ITS), tracing the student's knowledge st...
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05/01/2018
Deep Factorization Machines for Knowledge Tracing
This paper introduces our solution to the 2018 Duolingo Shared Task on S...
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09/03/2017