arXiv Machine Learning August 5, 2026 By Carson J. Cook, Ahmed J. Zerouali, Anthony Schmidt, Reginald Ziedzor, Paul Lin, Luke G. Eglington

UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics

Read the original on arXiv Machine Learning →

arXiv:2608. 03811v1 Announce Type: new Abstract: We introduce the Unified Neural Variational Measurement of Proficiency (UNVaMP) architecture, a knowledge tracing method that integrates observed student-item interactions with internal memory to produce evolving latent representations of student knowledge.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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