ChatGPT-Assisted Task Analysis for Special Education Teachers: An Exploratory Study of Alignment, Readability, Efficiency, and Acceptability

Serife Balikci, Nesime Kubra Terzioglu, Salih Rakap

Open source

DOI: 10.3390/fi18030158
Published: 03
Container: Future Internet
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/fi18030158,
  title = {ChatGPT-Assisted Task Analysis for Special Education Teachers: An Exploratory Study of Alignment, Readability, Efficiency, and Acceptability},
  author = {Serife Balikci and Nesime Kubra Terzioglu and Salih Rakap},
  year = {2026},
  journal = {Future Internet},
  doi = {10.3390/fi18030158},
  url = {https://doi.org/10.3390/fi18030158}
}

RIS

TY  - JOUR
TI  - ChatGPT-Assisted Task Analysis for Special Education Teachers: An Exploratory Study of Alignment, Readability, Efficiency, and Acceptability
AU  - Serife Balikci
AU  - Nesime Kubra Terzioglu
AU  - Salih Rakap
PY  - 2026
JO  - Future Internet
DO  - 10.3390/fi18030158
UR  - https://doi.org/10.3390/fi18030158
ER  -

APA

Balikci, S., Terzioglu, N. K., & Rakap, S. (2026). ChatGPT-Assisted Task Analysis for Special Education Teachers: An Exploratory Study of Alignment, Readability, Efficiency, and Acceptability. Future Internet. https://doi.org/10.3390/fi18030158

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doaj · retrieved 2026-09-26T09:09:56.825Z