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Knowledge Query Network for Knowledge Tracing
This paper introduces the Knowledge Query Network (KQN), a knowledge-tracing model motivated by the observation that existing models struggle to represent a student's knowledge state or 'knowledge interaction' — the interaction between the student's knowledge state at time and a skill at time . The proposed model (Section 3) is built from a knowledge state query, a knowledge state encoder, and a skill encoder, and is optimized accordingly. The authors also derive a probabilistic skill similarity measure (Section 4), showing that a pairwise distance between two skill vectors relates to the logarithm of their odds ratio. Sections: 1. Introduction 2. Related Work 3. Our Proposed Model 4. Probabilistic Skill Similarity 5. Experiments 6. Results and Analysis 7. Conclusions and Future Work.
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Introduction (Knowledge Query Network for Knowledge Tracing)
Knowledge Tracing (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)
Our Propose Model (Knowledge Query Network for Knowledge Tracing)
Experiments (Knowledge Query Network for Knowledge Tracing)
Reference for Knowledge Query Network for Knowledge Tracing
Results and Analysis (Knowledge Query Network for Knowledge Tracing)
Conclusions and Future Work (Knowledge Query Network for Knowledge Tracing)
Probabilistic Skill Similarity (Knowledge Query Network for Knowledge Tracing)