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. In this paper, we propose a novel model for knowledge tracing that i) captures students' learning ability and dynamically assigns students into distinct groups with similar ability at regular time intervals, and ii) combines this information with a Recurrent Neural Network architecture known as Deep Knowledge Tracing. Experimental results confirm that the proposed model is significantly better at predicting student performance than well known state-of-the-art techniques for student modelling.
Code (1)
Tasks
ClassificationGeneral ClassificationKnowledge TracingSimilar Papers 제목 키워드 기반
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 lea…
Knowledge TracingLearning Data Teaching Strategies Via Knowledge Tracing
Teaching plays a fundamental role in human learning. Typically, a human teaching strategy would involve assessing a student's knowledge progress for tailoring the teaching materials in a way that enhances the learning pr…
image-classificationImage ClassificationKnowledge TracingMovie Recommendation+1Dynamic Key-Value Memory Networks for Knowledge Tracing
Knowledge Tracing (KT) is a task of tracing evolving knowledge state of students with respect to one or more concepts as they engage in a sequence of learning activities. One important purpose of KT is to personalize the…
Knowledge TracingDyGKT: Dynamic Graph Learning for Knowledge Tracing
Knowledge Tracing aims to assess student learning states by predicting their performance in answering questions. Different from the existing research which utilizes fixed-length learning sequence to obtain the student st…
Graph LearningKnowledge TracingQuestion AnsweringDeep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
Deep learning based knowledge tracing model has been shown to outperform traditional knowledge tracing model without the need for human-engineered features, yet its parameters and representations have long been criticize…
Deep LearningKnowledge Tracing