Stakeholders' discourse on generative AI in higher education: Insights from topic modeling and sentiment analysis.

Tafesse W, Aguilar MP, Sayed S, Sandhu MA

DOI: 10.1371/journal.pone.0353685
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0353685,
  title = {Stakeholders' discourse on generative AI in higher education: Insights from topic modeling and sentiment analysis.},
  author = {Tafesse W and Aguilar MP and Sayed S and Sandhu MA},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0353685},
  url = {https://doi.org/10.1371/journal.pone.0353685}
}

RIS

TY  - JOUR
TI  - Stakeholders' discourse on generative AI in higher education: Insights from topic modeling and sentiment analysis.
AU  - Tafesse W
AU  - Aguilar MP
AU  - Sayed S
AU  - Sandhu MA
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0353685
UR  - https://doi.org/10.1371/journal.pone.0353685
ER  -

APA

W, T., MP, A., S, S., & MA, S. (2026). Stakeholders' discourse on generative AI in higher education: Insights from topic modeling and sentiment analysis.. PloS one. https://doi.org/10.1371/journal.pone.0353685

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pubmed · retrieved 2026-09-25T08:06:31.322Z