4 citations · 7 across the 7 of their papers we have counts for
8 papers
Counterfactual learning of new adaptive instructional policies using logged data
Samuel Girard, Sein Minn, Amel Bouzeghoub +1
Optimizing instructional policies in Intelligent Tutoring Systems (ITS) typically requires costly online experimentation or student simulators that may fail to capture real-world d…
Enhanced Interpretable Knowledge Tracing for Students Performance Prediction with Human understandable Feature Space
Sein Minn, Roger Nkambou
Knowledge Tracing (KT) plays a central role in assessing students skill mastery and predicting their future performance. While deep learning based KT models achieve superior predic…
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality
Minn Sein, Fu Shunkai
Structure learning is essential for Bayesian networks (BNs) as it uncovers causal relationships, and enables knowledge discovery, predictions, inferences, and decision-making under…
LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations
Sein Minn
Machine learning models have undeniably achieved impressive performance across a range of applications. However, their often perceived black-box nature, and lack of transparency in…
Privacy-Preserving Synthetic Educational Data Generation
Jill-Jênn Vie, Tomas Rigaux, Sein Minn
Institutions collect massive learning traces but they may not disclose it for privacy issues. Synthetic data generation opens new opportunities for research in education. In this p…
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
Sein Minn, Jill-Jenn Vie, Koh Takeuchi +2
Intelligent Tutoring Systems have become critically important in future learning environments. Knowledge Tracing (KT) is a crucial part of that system. It is about inferring the sk…
BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction
Sein Minn
Recently, we have seen a rapid rise in usage of online educational platforms. The personalized education became crucially important in future learning environments. Knowledge traci…
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing
Sein Minn, Yi Yu, Michel C. Desmarais +2
In Intelligent Tutoring System (ITS), tracing the student's knowledge state during learning has been studied for several decades in order to provide more supportive learning instru…