Deep Knowledge Tracing Incorporating a Hypernetwork With Independent Student and Item Networks
Author:
Affiliation:
1. Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan
2. Graduate School of Informatics and Engineering, The University of Electro-Communications, Chofu, Japan
Funder
JSPS KAKENHI
JST CREST
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,General Engineering,Education
Link
http://xplorestaging.ieee.org/ielx7/4620076/10376229/10373110.pdf?arnumber=10373110
Reference58 articles.
1. Knowledge tracing: Modeling the acquisition of procedural knowledge
2. Deep-IRT: Make deep learning based knowledge tracing explainable using item response theory;Yeung,2019
3. Dynamic Key-Value Memory Networks for Knowledge Tracing
4. Context-Aware Attentive Knowledge Tracing
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2. Deep-IRT with a Temporal Convolutional Network for Reflecting Students’ Long-Term History of Ability Data;Lecture Notes in Computer Science;2024
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