Bayesian cognitive diagnosis optimizes personalized learning paths via mediation of cognitive load and Hidden Markov Model state transitions

Ziquan Feng, Kexuan Huang

Open source

DOI: 10.3389/fpsyg.2026.1879982
Published: 2026-08-21
Container: Frontiers in Psychology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fpsyg.2026.1879982,
  title = {Bayesian cognitive diagnosis optimizes personalized learning paths via mediation of cognitive load and Hidden Markov Model state transitions},
  author = {Ziquan Feng and Kexuan Huang},
  year = {2026},
  journal = {Frontiers in Psychology},
  doi = {10.3389/fpsyg.2026.1879982},
  url = {https://doi.org/10.3389/fpsyg.2026.1879982}
}

RIS

TY  - JOUR
TI  - Bayesian cognitive diagnosis optimizes personalized learning paths via mediation of cognitive load and Hidden Markov Model state transitions
AU  - Ziquan Feng
AU  - Kexuan Huang
PY  - 2026
JO  - Frontiers in Psychology
DO  - 10.3389/fpsyg.2026.1879982
UR  - https://doi.org/10.3389/fpsyg.2026.1879982
ER  -

APA

Feng, Z., & Huang, K. (2026). Bayesian cognitive diagnosis optimizes personalized learning paths via mediation of cognitive load and Hidden Markov Model state transitions. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1879982

Source records

crossref · retrieved 2026-09-25T05:03:55.275Z