PLKT models student knowledge with Beta probabilistic embeddings and performs explicit logical reasoning over historical interactions to deliver both accurate predictions and interpretable explanations in knowledge tracing.
Correct” status for target questions (α− t+1,β − t+1)∈R 2d distribution of “Incorrect
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Explainable Knowledge Tracing via Probabilistic Embeddings and Pattern-based Reasoning
PLKT models student knowledge with Beta probabilistic embeddings and performs explicit logical reasoning over historical interactions to deliver both accurate predictions and interpretable explanations in knowledge tracing.