Public School Teachers’ Knowledge, Attitudes, and Practices Regarding Educational ChatGPT Use: A Pilot Study

Authors

  • Jesson L. Hero University of the Immaculate Conception, Davao City, Philippines
  • Claire U. Perol University of the Immaculate Conception, Davao City, Philippines

DOI:

https://doi.org/10.69569/jip.2026.408x

Keywords:

AI literacy, ChatGPT, Generative artificial intelligence, Public school teachers, Technology adoption

Abstract

The increasing use of ChatGPT in education offers teachers opportunities to support instructional planning, learning resource development, concept clarification, and other professional tasks, while raising concerns about accuracy, academic integrity, ethical use, and teacher preparedness. Despite growing research on generative artificial intelligence (AI), evidence on teachers’ knowledge, attitudes, and instructional practices regarding ChatGPT remains limited in Philippine basic education. This study conducted a pilot descriptive-correlational assessment of public-school teachers’ educational use of ChatGPT. The study involved 34 public school teachers from a public integrated school in the City of Meycauayan, Bulacan, selected through universal sampling with voluntary participation. Data were collected using an adopted structured questionnaire and analyzed through JAMOVI Version 2.6, employing mean, standard deviation, and Pearson product-moment correlation. Findings showed moderate reported knowledge, cautious and moderately favorable attitudes, and agreed-upon instructional practices. Significant positive relationships were found between knowledge and attitude (r = .510, p = .002), knowledge and practices (r = .555, p < .001), and attitude and practices (r = .432, p = .012). These findings provide preliminary evidence of association rather than causation. UTAUT is therefore presented as an interpretive lens, highlighting the need for sustained AI literacy, professional development, institutional support, and ethical guidelines for responsible ChatGPT integration in Philippine basic education.

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References

Abu, S., Uddin, M.M., Moon, J., Awoyemi, I.D., Baah-Mintah, R., & Ghooreian, A. (2026). Human-centered generative AI in education: Ethical challenges and equity-driven solutions. Ethics & Behavior, 1–27. https://doi.org/10.1080/10508422.2026.2685014

Ajose, S.T., Apata, O.E., Saidu, G.O., & Orobator, E. (2026). Exploring teachers' awareness and perceptions of ChatGPT in K–12 STEM education. International Journal of Technology in Education, 9(1), 260–278. https://doi.org/10.46328/ijte.5077

Albaloul, O., Alajmi, A., Oster, N., & Killian, C. (2026). Systematic review of qualitative studies exploring K–12 teachers' perceptions and experiences of using ChatGPT. Discover Artificial Intelligence, 6, Article 513. https://doi.org/10.1007/s44163-026-01344-7

Ari Harmawan, T., & Makmur, A. (2023). Teacher's perception of the use of the ChatGPT application as a learning-supporting media. Perspektif Ilmu Pendidikan, 37(2), 130–138. https://doi.org/10.21009/PIP.372.6

Bateman, T. (2025). Teacher perspectives of ChatGPT as a pedagogical tool in the K–12 setting: A case study. Quality Assurance in Education, 33(1), 44–61. https://doi.org/10.1108/QAE-02-2024-0042

Creswell, J.W., & Creswell, J.D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). Sage. Accessed from https://shorturl.at/N8Onk

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), Article 22. https://doi.org/10.1186/s41239-023-00392-8

Dilekli, Y., & Boyraz, S. (2024). From "Can AI think?" to "Can AI help thinking deeper?": Is use of ChatGPT in higher education a tool of transformation or fraud? International Journal of Modern Education Studies, 8(1), 49–71. https://doi.org/10.51383/ijonmes.2024.316

ElSayary, A. (2024). An investigation of teachers' perceptions of using ChatGPT as a supporting tool for teaching and learning in the digital era. Journal of Computer Assisted Learning, 40(3), 931–945. https://doi.org/10.1111/jcal.12926

Espartinez, A. (2024). Exploring student and teacher perceptions of ChatGPT use in higher education: A Q-methodology study. Computers and Education: Artificial Intelligence, 7, Article 100264. https://doi.org/10.1016/j.caeai.2024.100264

Evans, J.D. (1996). Straightforward statistics for the behavioral sciences. Brooks/Cole. Accessed from https://psycnet.apa.org/record/1995-98499-000

Farrokhnia, M., Banihashem, S.K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846

Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage. Accessed from https://shorturl.at/ECG5r

Flores-Vivar, J.M., & García-Peñalvo, F.J. (2023). Reflexiones sobre la ética, potencialidades y retos de la inteligencia artificial en el marco de la educación de calidad (ODS4). Comunicar, 74, 37–47. https://doi.org/10.3916/C74-2023-03

Foltynek, T., Bjelobaba, S., Glendinning, I., Reza-Khan, Z., Santos, R., Pavletic, P., et al. (2023). ENAI recommendations on the ethical use of artificial intelligence in education. International Journal of Educational Integrity, 19, Article 12. https://doi.org/10.1007/s40979-023-00133-4

Ganjavi, C., Eppler, M., Pekcan, A., Biedermann, B., Abreu, A., Collins, G., et al. (2024). Publishers' and journals' instructions to authors on use of generative artificial intelligence in academic and scientific publishing: Bibliometric analysis. BMJ, 384, e077192. https://doi.org/10.1136/bmj-2023-077192

Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489. https://doi.org/10.5812/ijem.3505

Ghimire, A., Prather, J., & Edwards, J. (2024). Generative AI in education: A study of educators' awareness, sentiments, and influencing factors (arXiv Preprint No. arXiv:2403.15586). arXiv. https://doi.org/10.48550/arXiv.2403.15586

González-González, C. (2023). El impacto de la inteligencia artificial en la educación: Transformación de la forma de enseñar y de aprender. Qurriculum, 36, 51–60. https://doi.org/10.25145/j.qurricul.2023.36.03

Heine, S., & König, J. (2025). Applying artificial intelligence in teacher education: Preservice teachers' attitudes and reflections in using ChatGPT for teaching and learning. European Journal of Teacher Education, 48(5), 934–963. https://doi.org/10.1080/02619768.2025.2540791

Imran, M., & Almusharraf, N. (2023). Analyzing the role of ChatGPT as a writing assistant at higher education level: A systematic review of the literature. Contemporary Educational Technology, 15(4), Article ep464. https://doi.org/10.30935/cedtech/13605

Kobak, D., González-Márquez, R., Horvát, E.Á., & Lause, J. (2024). Delving into ChatGPT usage in academic writing through excess vocabulary. arXiv. https://doi.org/10.48550/arXiv.2406.07016

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727

López Santos, M., Lozano, A., & Blanco Fontao, C. (2025). Analysis of the influence of ChatGPT on secondary education from the perspective of teachers. Journal of Technology and Science Education, 15(2), 302–321. https://doi.org/10.3926/jotse.3190

Luckin, R., & Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences perspective. British Journal of Educational Technology, 50(6), 2824–2838. https://doi.org/10.1111/bjet.12861

Mintz, J., Holmes, W., Liu, L., & Perez-Ortiz, M. (2023). Artificial intelligence and K-12 education: Possibilities, pedagogies and risks. Computers in the Schools, 40(4), 325–333. https://doi.org/10.1080/07380569.2023.2279870

Nazaretsky, T., Mikeska, J., & Beigman-Klebanov, B. (2023). Empowering teacher learning with AI: Automated evaluation of teacher attention to student ideas during argumentation-focused discussion. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1–14). Association for Computing Machinery. https://doi.org/10.1145/3576050.3576067

Ng, D.T.K., Leung, J.K.L., Chu, S.K.W., & Qiao, M.S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487

Organisation for Economic Co-operation and Development. (2024). Artificial intelligence and the future of skills: Volume 2: Methods for evaluating AI capabilities. OECD Publishing.

Özdemir-Çağatay, S., & Özdemir-Çağatay, S. (2023). Examining the use of ChatGPT in language teaching: Teachers' experiences and perceptions. In Revolutionizing Language Learning Through Artificial Intelligence (pp. 1–23). IGI Global. https://doi.org/10.4018/978-1-6684-9893-4.ch001

Polak, S., Schiavo, G., & Zancanaro, M. (2022). Teachers' perspective on artificial intelligence education: An initial investigation. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (Article 431, pp. 1–7). Association for Computing Machinery. https://doi.org/10.1145/3491101.3519866

Prilop, C.N., Mah, D.-K., Jacobsen, L.J., Hansen, R.R., Weber, K.E., & Hoya, F. (2025). Generative AI in teacher education: Educators' perceptions of transformative potentials and the triadic nature of AI literacy explored through AI-enhanced methods. Computers and Education: Artificial Intelligence, 9, Article 100471. https://doi.org/10.1016/j.caeai.2025.100471

Rahman, A., Islam, M.K., Al-Mamun, A., & Islam, M.S. (2025). Teachers' and students' use of ChatGPT at social science faculty in the public and private universities of Bangladesh. F1000Research, 14, Article 269. https://doi.org/10.12688/f1000research.161351.2

Rahman, M.M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), Article 5783. https://doi.org/10.3390/app13095783

Shaikh, S., Yayilgan, S.Y., Klimova, B., & Pikhart, M. (2023). Assessing the usability of ChatGPT for formal English language learning. European Journal of Investigation in Health, Psychology and Education, 13(9), 1819–1835. https://doi.org/10.3390/ejihpe13090140

Sharma, S., & Yadav, R. (2022). ChatGPT—A technological remedy or challenge for the education system. Journal of Computer and Information Science, 14(4). Accessed from https://journals.stmjournals.com/joiti/article=2024/view=167952/

Torrato, J., Pillar, G., Robledo, D.A., Aguja, S., & Prudente, M. (2024). Knowledge, attitudes, and practices on ChatGPT: Perspectives from students and teachers of De La Salle Santiago Zobel School. In Proceedings of the 2024 15th International Conference on E-Education, E-Business, E-Management and E-Learning (pp. 107–116). Association for Computing Machinery. https://doi.org/10.1145/3670013.3670058

UNESCO. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000386693

Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Zawacki-Richter, O., Marín, V., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education—Where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0

Zhang, P., & Tur, G. (2024). A systematic review of ChatGPT use in K–12 education. European Journal of Education, 59, e12599. https://doi.org/10.1111/ejed.12599

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Published

2026-08-28

How to Cite

Hero, J., & Perol, C. (2026). Public School Teachers’ Knowledge, Attitudes, and Practices Regarding Educational ChatGPT Use: A Pilot Study. Journal of Interdisciplinary Perspectives, 4(9), 399–413. https://doi.org/10.69569/jip.2026.408x