KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students

arXiv:2402.12291v1 Announce Type: new
Abstract: Flashcard schedulers are tools that rely on 1) student models to predict the flashcards a student knows; and 2) teaching policies to schedule cards based on these predictions. Existing student models, however, only use flashcard-level features, like the student's past responses, ignoring the semantic ties of flashcards. Deep Knowledge Tracing (DKT) models can capture semantic relations with language models, but are inefficient, lack content-rich datasets for evaluation, and require robust teaching policies. To address these …

abstract arxiv cards cs.cl features knowledge predictions responses retention retrieval semantic students teaching tools type