The AI Co-Author: Investigating the Impact of Generative AI on Creative Short Story Writing Skills on the Students of English Education Study Program
DOI:
https://doi.org/10.37792/jitle.v3i1.1921Keywords:
generative AI, creative writing, short story, writing skillsAbstract
This qualitative case study investigates the impact of Generative AI (GenAI) as a "co-author" on the creative short story writing skills of 19 fourth-semester students in the English Education Study Program at Citra Bangsa University. Amidst the growing debate on AI in education, this study explores how EFL learners utilize tools like ChatGPT to overcome challenges such as blank page syndrome and limited lexical resources. Data were collected through semi-structured interviews, reflective journals, and analysis of digital artifacts (chat logs and story drafts) following a six-week creative writing workshop. The findings reveal that GenAI significantly reduced writing anxiety by serving as an ideation partner and expanded students' descriptive vocabulary through context-specific synonyms. However, the study also highlights a complex negotiation of authorship, where students acted as "creative directors," curating AI outputs to ensure cultural relevance and narrative voice. The research concludes that integrating GenAI requires a pedagogical shift from product-oriented to process-oriented assessment, emphasizing "prompt engineering" as a critical new literacy for future English teachers
References
Ate, C., Anuno, A., & Muliani, M. (2025). Self-directed learning with YouTube: Enhancing listening skills on students of English education study program. Journal of Innovative Technology Learning and Education, 2(2), 58-68.
Ate, C. P., & Anuno, A. da C. (2025). YOUTUBE AS A TOOL FOR SELF-DIRECTED LEARNING: ENGLISH EDUCATION STUDENTS’ EFFORTS TO IMPROVE THEIR OWN SPEAKING PROFICIENCY. ELite Journal : International Journal of Education, Language and Literature, 5(3), 15–23. https://doi.org/10.26740/elitejournal.v5n3.p15-23
Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 100745
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
Chan, C. K. Y., & Hu, W. (2023). Students' voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1).
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.
Godwin-Jones, R. (2018). Second language writing online: An update. Language Learning & Technology, 22(1), 1-15. https://doi.org/10125/44574
Hwang, G. J., & Chen, N. S. (2023). Editorial position paper: Exploring the potential of generative artificial intelligence in education: Applications, challenges, and future research directions. Educational Technology & Society, 26, 1-18.
Hyland, K. (2019). Second language writing 2nd ed. Cambridge University Press.
Lee, Y. J., Davis, R. O., & Choi, J. I. (2025). Integrating generative AI into EFL writing: University students' strategies and perceptions. Online Journal of Communication and Media Technologies, 15(4), e202541.
Renandya, W. A., & Widodo, H. P. Eds. (2016). English language teaching today: Linking theory and practice. Springer International Publishing. https://doi.org/10.1007/978-3-319-38834-2
Ryan, H., Abramov, D., Acker, S., & Elkins, S. (2025). Can AI Be a Co-Author?: How Generative AI Challenges the Boundaries of Authorship in a General Education Writing Class. Semantic Scholar.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Journal of Innovative Technologies in Learning and Education

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in the Journal of Innovative Technologies in Learning and Education (J-ITLE) are open access and licensed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Under this license, users are permitted to read, download, copy, distribute, print, search, link to the full texts of articles, crawl them for indexing, pass them as data to software, remix, transform, and build upon the material for any lawful purpose, including commercial use, provided that proper attribution is given to the original author(s) and source.
Proper attribution should include the author name(s), article title, journal name, year of publication, volume and issue, DOI or article URL when available, and an indication if changes were made.
Authors retain copyright of their published articles and grant the journal the right of first publication. Copyright ownership remains with the author(s).
License URL: https://creativecommons.org/licenses/by/4.0/

