Uncertainty-preserving deep knowledge tracing with state-space models

Autor: Christie, S. Thomas, Cook, Carson, Rafferty, Anna N.

A central goal of both knowledge tracing and traditional assessment is to quantify student knowledge and skills at a given point in time. Deep knowledge tracing flexibly considers a student's response history but does not quantify epistemic uncertain

Externí odkaz: http://arxiv.org/abs/2407.17427

Information-Theoretic Neural Decoding Reproduces Several Laws of Human Behavior.

Autor: Christie ST; University of Minnesota, Minneapolis, MN, USA., Johnson HR; University of Minnesota, Minneapolis, MN, USA., Schrater PR; University of Minnesota, Minneapolis, MN, USA.

Publikováno v: Open mind : discoveries in cognitive science [Open Mind (Camb)] 2023 Sep 20; Vol. 7, pp. 675-690. Date of Electronic Publication: 2023 Sep 20 (Print Publication: 2023).