Perceptions of AI Collaboration in Writing among Teacher Aspirants: An Empirical Cross-Sectional Study among Teacher Aspirants
DOI:
https://doi.org/10.56294/ai2025426Keywords:
Artificial intelligence, Academic writing, Teacher aspirantsAbstract
The integration of artificial intelligence (AI) into education has generated increasing interest, particularly in its role in academic writing. While prior studies have examined students’ use of AI, limited attention has been given to teacher aspirants’ perceptions of AI collaboration with human writers across subject disciplines. Addressing this gap is crucial in preparing future educators for responsible AI integration in teaching and learning. This study aimed to determine the perceptions of English, science, and mathematics teacher aspirants toward AI collaboration with human writers in academic essay writing and to examine differences across subject disciplines. A descriptive‒quantitative design was employed, involving 90 undergraduate teacher aspirants equally distributed across the three disciplines. Stratified random sampling was used to ensure adequate representation, and data were collected through a structured questionnaire consisting of 10 items on a 5-point Likert scale with high internal reliability (α = 0,94). The data were analyzed via descriptive statistics and one-way ANOVA. The findings revealed generally positive perceptions of AI’s role in writing, particularly in generating outlines, assisting with citations, and supporting editing processes. Significant differences emerged among disciplines, with science majors expressing the most favorable perceptions (M = 4,13), followed by English (M = 3,94) and mathematics majors (M = 3,90). The study concludes that disciplinary orientation shapes openness to AI collaboration in academic writing. It is recommended that teacher education programs integrate structured training on the ethical and effective use of AI, ensuring a balance between technological assistance and the preservation of creativity and critical thinking.
References
1. Funa A, Gabay RA. Policy guidelines and recommendations on AI use in teaching and learning: A meta synthesis study. Soc Sci Humanit Open. 2025; 11:101221. https://doi.org/10.1016/j.ssaho.2024.101221
2. Malik AR, Pratiwi Y, Andajani K, Numertayasa W, Suharti S, Darwis A, Marzuki. Exploring artificial intelligence in academic essay: Higher education student's perspective. Int J Educ Res Open. 2023;5:100296. doi: https://doi.org/10.1016/j.ijedro.2023.100296
3. Almusharraf N, Alotaibi H. An error-analysis study from an EFL writing context: Human and automated essay scoring approaches. Technol Knowl Learn. 2023;28(3):1015-31. doi: https://doi.org/10.1007/s10758-022-09592-z
4. Miranty D, Widiati U. An automated writing evaluation (AWE) in higher education. Pegem J Educ Instr. (2021);11(4):126-37. doi: https://doi.org/10.47750/pegegog.11.04.12
5. Farrokhnia M, Banihashem SK, Noroozi O, Wals A. A SWOT analysis of ChatGPT: Implications for educational practice and research. Innov Educ Teach Int. 2023;61(3):1-15. doi: https://doi.org/10.1080/14703297.2023.2195846
6. Rospigliosi P. Artificial intelligence in teaching and learning: ¿what questions should we ask of ChatGPT? Interact Learn Environ. 2023;31(1):1-3. doi: https://doi.org/10.1080/10494820.2023.2180191
7. Bin-Nashwan, SA, Sadallah M, Bouteraa M. Use of ChatGPT in academia: Academic integrity hangs in the balance. Technol Soc. 2023; 75:102370. doi: https://doi.org/10.1016/j.techsoc.2023.102370
8. Amoozadeh M, Daniels D, Nam D, Chen S, Hilton M, Ragavan SS, Alipour MA. Trust in generative AI among students: An exploratory study. Assoc Comput Mach. 2024;1:67-73. doi: https://doi.org/10.1145/3626252.3630842
9. Lund BD, Wang T. Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Libr Hi Tech News. 2023;40(3):26-9. doi: https://doi.org/10.1108/LHTN-01-2023-0009
10. Domingo AR, Clorion FDD, Mangila B, Hasan NN, Tarroza R, Flores B, Rillo R, Pantaleon C, Francisco CI, Delos Santos M, Alieto EO. Quill & Bytes: A qualitative analysis on the perceived impacts of AI-based paraphrasing tools in academic writing and performance toward higher education students. Procedia Comput Sci. 2025; 263:664–71. https://doi.org/10.1016/j.procs.2025.07.079
11. Xiao Y, Zhi Y. An exploratory study of EFL learners’ use of ChatGPT for language learning tasks: Experiences and perceptions. Language. 2023;8:212. doi: https://doi.org/10.3390/languages8030212
12. Zou M, Huang L. The impact of ChatGPT on L2 writing and expected responses: Voice from doctoral students. Educ Inf Technol. 2023. doi: https://doi.org/10.1007/s10639-023-12397-x
13. Bok E, Cho Y. Examining Korean EFL college students’ experiences and perceptions of using ChatGPT as a writing revision tool. J Engl Teach Movies Media. 2023;24(4):15-27. doi: https://doi.org/10.16875/stem.2023.24.4.15
14. Mahapatra S. Impact of ChatGPT on ESL students’ academic writing skills: A mixed methods intervention study. Smart Learn Environ. 2024;11(9). doi: https://doi.org/10.1186/s40561-024-00295-9
15. Mahapatra S. Impact of ChatGPT on ESL students’ academic writing skills: A mixed methods intervention study. Smart Learn Environ. 2024;11(9). doi: https://doi.org/10.1186/s40561-024-00295-9
16. Clorion FDD, Alieto E, Fuentes J, Suicano DJ, Natividad ER, Miñoza M, et al. Artificial intelligence in academic writing in higher education in a country of emerging economy: An analysis of knowledge, perceived influence, extent of use, and perception. In: Lahby M, Maleh Y, Bucchiarone A, Schaeffer SE, editors. General Aspects of Applying Generative AI in Higher Education. Cham: Springer; 2024. p. 301–326.
17. Bantoto FMO, Rillo R, Abequibel B, Mangila BB, Alieto EO. Is AI an effective “learning tool” in academic writing? Investigating the perceptions of third-year university students on the use of artificial intelligence in classroom instruction. In: International Conference on Digital Technologies and Applications. Cham: Springer Nature Switzerland; 2024. p. 72–81. https://doi.org/10.1007/978-3-031-68650-4_8
18. Giray L, Fabros B, Villarama J, Gumalin DL, Saavedra JB. Acceptance of and satisfaction with ChatGPT as learning tool in higher education through the Technology Acceptance Model (TAM): A case from the Philippines. Internet Ref Serv Q. 2025 Aug 8. doi: https://doi.org/10.1080/10875301.2025.2542212
19. Fuentes JO, Clorion FD, Abequibel B, Valerio S, Alieto EO. Understanding the attitude of teacher education students toward utilizing ChatGPT as a learning tool: A quantitative analysis. In: Motahhir S, Bossoufi B, editors. Digital technologies and applications. ICDTA 2024. Lect Notes Netw Syst. 2024;1098:82–93. https://doi.org/10.1007/978-3-031-68650-4_9
20. Francisco CI, Pantaleon CE, Lantaya GMA, Francisco WAR, Alieto EO. Understanding the attitude of senior high school students toward utilizing ChatGPT as a learning tool: A quantitative analysis. In: Sustainable Data Management: Navigating Big Data, Communication Technology, and Business Digital Leadership. Vol. 1. Cham: Springer Nature Switzerland; 2025. p. 37-49. https://doi.org/10.1007/978-3-031-83911-5_4
21. Clorion FDD, Fuentes J, Suicano DJ, Estigoy E, Eijansantos A, Rillo R, et al. AI‑Powered Professionals and Digital Natives: A Correlational Analysis of the Use and Benefits of Artificial Intelligence for the Employability Skills of Postgraduate Education Students. Procedia Comput Sci. 2025; 263:107–14. https://doi.org/10.1016/j.procs.2025.07.014
22. Abequibel B, Ricohermoso C, Alieto EO, Lucas RI. Prospective reading teachers’ digital reading habit: a cross-sectional design. TESOL Int J. 2021;16(4.4):246-60.
23. Gregorio TAD, Alieto EO, Natividad ERR, Tanpoco MR. Are preservice teachers “totally PACKaged”? A quantitative study of preservice teachers’ knowledge and skills to ethically integrate Artificial Intelligence (AI)-based tools into Education. In: International Conference on Digital Technologies and Applications. Cham: Springer Nature Switzerland; 2024. p. 45–55. doi:10.1007/978-3-031-68660-3_5
24. Berganio ME, Tanpoco M, Dumagay AH. Preservice teachers’ perceived level of digital literacy: A quantitative study from a developing country. In: Motahhir S, Bossoufi B, editors. ICDTA 2024. Lecture Notes in Networks and Systems, vol. 1101. Cham: Springer; 2024. p. 158–67.
25. Cabato JU. From awareness to practice: Exploring the knowledge, attitudes, and practices of secondary ESL teachers in the Philippines toward ChatGPT in education. LatIA. 2025; 3:360. https://doi.org/10.62486/latia2025360
26. Flores B, Amabao K, Aidil-Karanain F, Dumagay AH. Bachelor of Culture and Arts student’s attitude toward using digital games for learning. Sci Int (Lahore). 2023;35(3):357–61.
27. Gapol PAM, Alieto EO, Capacio EA, Dumagay AH, Francisco CI, Vallejo RG. Preservice teachers’ extent of knowledge and willingness to adopt generative AI in higher education. In: González Vallejo R, Moukhliss G, Schaeffer E, Paliktzoglou V, editors. The Second International Symposium on Generative AI and Education (ISGAIE’2025).
28. Dumagay, A. H., Balasa, K. A., Kunting, A. F., & Cabangcala, R. B. (2025). AI acceptance among prospective social studies and culture and arts education students. In K. Arai (Ed.), Intelligent computing. CompCom 2025 (Lecture Notes in Networks and Systems, Vol. 1426). Springer. https://doi.org/10.1007/978-3-031-92611-2_11
29. Serdenia JR, Dumagay AH, Balasa KA, Capacio EA, Lauzon LDS. Attitude, acceptability, and perceived effectiveness of artificial intelligence in education: A quantitative cross-sectional study among future teachers. LatIA. 2025;3:313
30. Balasa KA, Dumagay AH, Alieto EO, Vallejo RG. Gender and age dynamics in future educators’ attitudes toward AI integration in education: a sample from state managed universities in Zamboanga Peninsula, Philippines. Semin Med Writ Educ. 2025;4:668. https://doi.org/10.56294/mw2025668
31. Alieto EO, Dumagay AH, Serdenia JRC, Labad EM, Galang SK, Vallejo RG. Attitude toward artificial intelligence among teacher aspirants in an emerging AI landscape: A gender‑based analysis. In: González Vallejo R, Moukhliss G, Schaeffer E, Paliktzoglou V, editors. The Second International Symposium on Generative AI and Education (ISGAIE’2025). Lecture Notes on Data Engineering and Communications Technologies, vol. 262. Springer; 2025. https://doi.org/10.1007/978-3-031-98476-1_39
32. Maghanoy J, Tahil M, Sulasula J, Vallejo RG, Dumagay AH, Alieto EO. Gender and educational attainment dynamics on artificial intelligence anxiety among educators with emerging understanding. In: González Vallejo R, Moukhliss G, Schaeffer E, Paliktzoglou V, editors. The Second International Symposium on Generative AI and Education (ISGAIE’2025). Lecture Notes on Data Engineering and Communications Technologies. Vol. 262. Springer; 2025. https://doi.org/10.1007/978-3-031-98476-1_40
33. Santos ZMB, Cadano KJ, Gyawali YP, Alieto EO, Clorion FD. Navigating between conditions and convictions: Investigating the influence of sociogeographical factors on interest and attitudes toward artificial intelligence among secondary school teachers. Lect Notes Netw Syst. 2024;168–77. https://doi.org/10.1007/978-3-031-68675-7_17
34. Alieto E, Abequibel-Encarnacion B, Estigoy E, Balasa K, Eijansantos A, Torres-Toukoumidis A. Teaching inside a digital classroom: A quantitative analysis of attitude, technological competence and access among teachers across subject disciplines. Heliyon. 2024;10(2): e24282. doi: 10.1016/j.heliyon. 2024.e24282
35. Maiorana FA, Mayer HF. How to avoid common errors in writing scientific manuscripts. Eur J Plast Surg. 2018;41(5):489-94. doi: https://doi.org/10.1007/s00238-018-1418-z
36. Singh AA, Lukkarila L. Successful academic writing: A complete guide for social and behavioral scientists. New York: Guilford Publications; 2017.
37. Subandowo D, Sárdi C. Academic essay writing in an English medium instruction environment: Indonesian graduate students’ experiences at Hungarian universities. Ampersand. 2023;11:100158. doi: https://doi.org/10.1016/j.amper.2023.100158
38. Gayed JM, Carlon MKJ, Oriola AM, Cross JS. Exploring an AI-based writing assistant’s impact on English language learners. Comput Educ Artif Intell. 2022;3:100055. doi: https://doi.org/10.1016/j.caeai.2022.100055
39. Wang C, Li Z, Bonk C. Understanding self-directed learning in AI-assisted writing: A mixed methods study of postsecondary learners. Comput Educ Artif Intell. 2024;6:100247. doi: https://doi.org/10.1016/j.caeai.2024.100247
40. Alharbi W. AI in the foreign language classroom: A pedagogical overview of automated writing assistance tools. Educ Res Int. 2023:4253331. doi: https://doi.org/10.1155/2023/4253331
41. Dale R, Viethen J. The automated writing assistance landscape in 2021. Nat Lang Eng. 2021;27(4):511-8. doi: https://doi.org/10.1017/S1351324921000164
42. Smolansky A, Cram A, Raduescu C, Zeivots S, Huber E, Kizilcec RF. Educator and student perspectives on the impact of generative AI on assessments in higher education. Assoc Comput Mach. 2023:378-82. doi: https://doi.org/10.1145/3573051.3596191
43. Creswell J. Research design: Qualitative, quantitative, and mixed methods approaches. California: SAGE Publications, Inc.; 2009.
44. Creswell JW, Creswell JD. Research design: Qualitative, quantitative, and mixed methods approaches. Los Angeles: SAGE Publications, Inc.; 2018.
45. Kothari C. Research methodology: Methods and techniques. New Delhi: New Age International (P) Ltd., Publishers; 2004.
46. Fraenkel JR, Wallen NE, Hyun HH. How to design and evaluate research in education. New York: McGraw Hill; 2012.
47. Alieto E, Devanadera A, Buslon J. Women of K-12: Exploring teachers' cognition in language policy implementation. Asian EFL J. 2019;24(4.1):143–62.
48. Bacang B, Rillo R, Alieto O. The gender construct in the use of rhetorical appeals, hedges and boosters in ESL writing: A discourse analysis. Asian EFL J. 2019;25(52):210–24.
49. Devanadera A, Alieto O. Lexical bias among Tagalog-speaking Filipino preschool children. Asian EFL J. 2019;24(4):207–28.
50. Fernandez MA, Cabangcala C, Fanilag E, Cabangcala R, Balasa K, Alieto EO. Technology in education: An attitudinal investigation among prospective teachers from a country of emerging economy. In: Farhaoui Y, Hussain A, Saba T, Taherdoost H, Verma A, editors. Artificial Intelligence, Data Science and Applications. ICAISE 2023. Lecture Notes in Networks and Systems, vol. 837. Cham: Springer; 2024. p. 248–55.
51. Lee A, Alieto E. Analyzing teaching self-efficacy correlates in virtual education: A gender-driven structural equation modeling approach. Malays J ELT Res. 2023;20(2):110–28.
52. Pahulaya V, Reyes A, Buslon J, Alieto EO. Gender divide in attitude toward Chavacano and cognition toward mother tongue among prospective language teachers. Asian EFL. 2020;27(3.1):41–64.
53. Aljuaid H. The impact of artificial intelligence tools on academic writing instruction in higher education: A systematic review. Arab World Engl J. 2024:26-55. doi: https://dx.doi.org/10.24093/awej/ChatGPT.2
54. Hıdıroğlu ÇN, Karakaş A. Transdisciplinary role of technology in STEM education. Malays Online J Educ Technol. 2022;10(4):276-93. doi: http://dx.doi.org/10.52380/mojet.2022.10.4.411
55. Parviz M. AI in education: Comparative perspectives from STEM and non-STEM instructors. Comput Educ Open. 2024;6:100190. doi: https://doi.org/10.1016/j.caeo.2024.100190.
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