Transition embeddings from pretrained algebraic encoders combined with SimCSE produce problem-invariant representations of student solution strategies that encode meaningful information and correlate with short- and long-term learning outcomes.
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Towards Generalizable Representations of Mathematical Strategies
Transition embeddings from pretrained algebraic encoders combined with SimCSE produce problem-invariant representations of student solution strategies that encode meaningful information and correlate with short- and long-term learning outcomes.