Computer self-efficacy and perceived knowledge application in generative AI-supported learning: a cross-sectional parallel mediation analysis

Yan Cheng, Haibo Liu

Open source

DOI: 10.3389/fpsyg.2026.1927402
Published: 2026-08-26
Container: Frontiers in Psychology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fpsyg.2026.1927402,
  title = {Computer self-efficacy and perceived knowledge application in generative AI-supported learning: a cross-sectional parallel mediation analysis},
  author = {Yan Cheng and Haibo Liu},
  year = {2026},
  journal = {Frontiers in Psychology},
  doi = {10.3389/fpsyg.2026.1927402},
  url = {https://doi.org/10.3389/fpsyg.2026.1927402}
}

RIS

TY  - JOUR
TI  - Computer self-efficacy and perceived knowledge application in generative AI-supported learning: a cross-sectional parallel mediation analysis
AU  - Yan Cheng
AU  - Haibo Liu
PY  - 2026
JO  - Frontiers in Psychology
DO  - 10.3389/fpsyg.2026.1927402
UR  - https://doi.org/10.3389/fpsyg.2026.1927402
ER  -

APA

Cheng, Y., & Liu, H. (2026). Computer self-efficacy and perceived knowledge application in generative AI-supported learning: a cross-sectional parallel mediation analysis. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1927402

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crossref · retrieved 2026-09-25T18:09:58.583Z