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Found 4 papers, 2 papers with code
Verifying Relational Explanations: A Probabilistic Approach
Explanations on relational data are hard to verify since the explanation structures are more complex (e. g. graphs).
Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction
Predicting the strategy (sequence of concepts) that a student is likely to use in problem-solving helps Adaptive Instructional Systems (AISs) better adapt themselves to different types of learners based on their learning abilities.
On the verification of Embeddings using Hybrid Markov Logic
The standard approach to verify representations learned by Deep Neural Networks is to use them in specific tasks such as classification or regression, and measure their performance based on accuracy in such tasks.
Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data
The strategy prediction model is trained on instances sampled from these clusters.
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