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Found 4 papers, 1 papers with code
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models
Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS).
Lexical Relation Mining in Neural Word Embeddings
In this paper, we explore the degree to which lexical relations, such as those found in popular validation sets, can be derived and extended from a variety of neural embeddings using classical clustering methods.
Understanding the Source of Semantic Regularities in Word Embeddings
In this paper, we investigate the hypothesis that examples of a lexical relation in a corpus are fundamental to a neural word embedding{'}s ability to complete analogies involving the relation.
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling
This paper presents several strategies that can improve neural network-based predictive methods for MOOC student course trajectory modeling, applying multiple ideas previously applied to tackle NLP (Natural Language Processing) tasks.
