Formula

Optimization (Knowledge Query Network for Knowledge Tracing)

Cross-entropy error and error terms are calculated: E(θmodel∣ct+1,pt+1)=−[ct+1log⁡pt+1+(1−ct+1)log⁡(1−pt+1)]E(\theta_{model} | c_{t+1}, p_{t+1}) = - [ c_{t+1} \log p_{t+1} + (1-c_{t+1}) \log (1-p_{t+1})] E_{total} (theta_{model} | c_{2:t+1}, p_{2:t+1}) = sum_{t+1} ^{T-1} E(theta_{model} | c_{t+1}, p_{t+1})

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Updated 2026-06-14

Tags

Data Science