Cognitive offloading and metacognitive calibration in generative AI-mediated doctoral learning: a grounded theory study of accountable reconstruction.

Gao L, Zhang F.

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DOI: 10.3389/fpsyg.2026.1920947
Published: 2026-08-31
Container: Front Psychol
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpsyg.2026.1920947,
  title = {Cognitive offloading and metacognitive calibration in generative AI-mediated doctoral learning: a grounded theory study of accountable reconstruction.},
  author = {Gao L and  Zhang F.},
  year = {2026},
  journal = {Front Psychol},
  doi = {10.3389/fpsyg.2026.1920947},
  url = {https://doi.org/10.3389/fpsyg.2026.1920947}
}

RIS

TY  - JOUR
TI  - Cognitive offloading and metacognitive calibration in generative AI-mediated doctoral learning: a grounded theory study of accountable reconstruction.
AU  - Gao L
AU  -  Zhang F.
PY  - 2026
JO  - Front Psychol
DO  - 10.3389/fpsyg.2026.1920947
UR  - https://doi.org/10.3389/fpsyg.2026.1920947
ER  -

APA

L, G., & F., Z. (2026). Cognitive offloading and metacognitive calibration in generative AI-mediated doctoral learning: a grounded theory study of accountable reconstruction.. Front Psychol. https://doi.org/10.3389/fpsyg.2026.1920947

Source records

europe-pmc · retrieved 2026-09-25T18:08:22.001Z
doaj · retrieved 2026-09-25T18:08:21.972Z