Re-evaluation under controlled protocols shows that attention-enhanced PKT models do not consistently outperform standard DKT on the CodeWorkout dataset.
Context-aware attentive knowledge tracing
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
LiveGraph improves exercise recommendations by using graph representations to link student histories and dynamic re-ranking to boost both accuracy and content diversity on real-world learning datasets.
citing papers explorer
-
Ensuring Reliability in Programming Knowledge Tracing: A Re-evaluation of Attention-augmented Models and Experimental Protocols
Re-evaluation under controlled protocols shows that attention-enhanced PKT models do not consistently outperform standard DKT on the CodeWorkout dataset.
-
LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
LiveGraph improves exercise recommendations by using graph representations to link student histories and dynamic re-ranking to boost both accuracy and content diversity on real-world learning datasets.