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Found 6 papers, 5 papers with code
LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations
To tackle this challenge, researchers have developed methods to provide explanations for machine learning models.
Privacy-Preserving Synthetic Educational Data Generation
Institutions collect massive learning traces but they may not disclose it for privacy issues.
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
IKT's prediction of future student performance is made using a Tree-Augmented Naive Bayes Classifier (TAN), therefore its predictions are easier to explain than deep learning-based student models.
BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction
Bayesian Knowledge Tracing (BKT) is a model to capture mastery level of each skill with psychologically meaningful parameters and widely used in successful tutoring systems.
Dynamic Student Classiffication on Memory Networks for Knowledge Tracing
Knowledge Tracing (KT) is the assessment of student’s knowledge state and predicting whether that student may or may not answer the next problem correctly based on a number of previous practices and outcomes in their learning process.
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing
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 instructions.
