Prompting the Future: The Perception of Pre-Service Teachers on the Use of Artificial Intelligence (AI) in Creative Writing
DOI:
https://doi.org/10.54536/ajarai.v1i1.6755Keywords:
Academic Integrity, AI In Education. Artificial Intelligence, Creative Writing, Pre-Service Teachers, Teacher EducationAbstract
The rapid integration of Artificial Intelligence (AI) in educational contexts has reshaped writing instruction, raising critical questions about authenticity, creativity, and academic integrity—particularly in Creative Writing courses. This study examined the perceptions of pre-service English teachers at De La Salle University–Dasmariñas regarding the use of AI in creative writing and their ability to distinguish AI-generated text from human-written work. Using a quantitative-descriptive design with qualitative components, data were gathered through an online survey consisting of Likert-scale items and open-ended questions administered to third- and fourth-year Bachelor of Secondary Education majors in English. Quantitative data were analyzed using descriptive statistics, while qualitative responses underwent thematic analysis. Findings revealed that respondents moderately agreed on their reliance on creativity, originality, sentence structure, diction, and coherence as indicators for identifying AI-generated texts, yet remained neutral about their overall accuracy in distinguishing AI from human writing. While AI was acknowledged as useful for prewriting, revision, and instructional support, participants expressed ethical concerns regarding cognitive dependency, loss of human essence, and erosion of authentic voice in student writing. Qualitative findings emphasized the importance of controlled AI integration, onsite writing assessments, transparency through AI disclosure, and scaffolded pedagogical use. The study concludes that AI should function as a supportive tool rather than a replacement for human creativity, underscoring the need for clear instructional guidelines and curriculum adjustments in teacher education programs.
Downloads
References
Alipasa, C. D. (2016). Issues in the Philippine English curriculum today. De La Salle University.
Alipasa, C. D. (2026). Navigating policy shifts and persistent challenges in Philippine grade school language education. ELT VIBES: International Peer Reviewed e-journal for Research in ELT, 12(1), 1–8.
Alipasa, C. D. L. (2026). Trust and Ethics for Artificial Intelligence in Authentic Education. American Journal of Applied Research and AI, 1(1).
Cambridge University Press. (n.d.). Teacher. In the Cambridge Dictionary. Retrieved October 18, 2025, from https://dictionary.cambridge.org/dictionary/english/teacher
Chand, R., Alasa, V. M., Chitiyo, J., & Pietrantoni, Z. (n.d.). Preparation of pre-service teachers. In IGI Global. Retrieved from https://www.igi-global.com/dictionary/preparation-of-pre-service-teachers/23201
Copeland, B. J. (2025, October 17). Artificial intelligence (AI). Encyclopædia Britannica. https://www.britannica.com/technology/artificial-intelligence
Denzin, N. (1970). The Research Art in Sociology. London: Butterworth.
Duke Writing Studio. (n.d.). Creative writing. Duke University. https://twp.duke.edu/uploads/media_items/creative-writing.original.pdf
Espino, C. (2025). Pre-service teachers’ perspectives on generative AI: Insights, applications, and challenges in the classroom. International Journal on Studies in Education (IJonSE), 7(3), 732–747. https://doi.org/10.46328/ijonse.1930
Gatdula, G. M., Ramirez, M. T., Regis, M. L., Domingo, J., Jr., & Sebastian, R. S. (2021). Non-Catholic Lasallians’ experiences in living out the Lasallian values. Turkish Online Journal of Qualitative Inquiry, 12(7).
Harvard Catalyst. (2022) “Mixed Methods Research.” Harvard Catalyst, 2022, catalyst.harvard.edu/community-engagement/mmr/.
Kabigting, M. J., & Alipasa, C. D. (2025). Enhancing the English language proficiency of Capampangan pupils in a public school: Basis for an instructional intervention. International Journal of Research and Innovation in Social Science, 9(11), 8224. https://doi.org/10.47772/IJRISS.2025.91100642
Nadhifah, A. S., Syukur, H. N., Haryanto, M. F., Luthfiyyah, R., & Rozak, D. R. (2024). Pre-service English teacher perceptions of AI in writing skills. Journal of World Englishes and Educational Practices, 6(2), 26–32. https://doi.org/10.32996/jweep.2024.6.2.3
Reyes, A., Hijalda, L., Gatdula, G., Ramirez, M. T., & Alipasa, C. D. (2022). LIVE or LEAVE: Processes Caviteña women undergo in intimate partner violence. Journal of Positive School Psychology.
Ripoll Y Schmitz, L. M., & Sonnleitner, P. (2025). Evaluating AI-generated vs. human-written reading comprehension passages: An expert SWOT analysis and comparative study for an educational large-scale assessment. Large-scale Assessments in Education, 13, 20. https://doi.org/10.1186/s40536-025-00255-w
University of Kansas. (2024, January 30). Roles and responsibilities of educational administrators. KU Education Online. https://educationonline.ku.edu/community/roles-and-responsibilities-of-educational-administrato rs
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Julianne Mae Alarcado, Mecaila Lee, Clark Dominic Alipasa, CLARK DOMINIC ALIPASA (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.

