Teachers’ Perceptions and Experiences in Integrating Generative AI into Learning: A Phenomenological Inquiry in Indonesian Secondary Schools

Authors

  • Dede Kurniawan Universitas Linggabuana PGRI Sukabumi

DOI:

https://doi.org/10.62775/edukasia.v7i1.1819

Keywords:

Generative AI, Teacher Experience, Teacher Perception

Abstract

The development of Generative Artificial Intelligence (AI) has opened new pedagogical opportunities, yet empirical studies exploring how secondary school teachers in developing countries navigate its ethical and practical tensions remain scarce. This study aims to fill this gap by providing an in-depth understanding of teachers’ perceptions and experiences in adapting Generative AI in Indonesian secondary schools. Employing a qualitative phenomenological approach, this study involved eight teachers utilizing platforms such as ChatGPT, Gemini, and Canva AI. Data collected through in-depth interviews, observations, and document analysis were analyzed using the Miles and Huberman interactive model. The findings reveal a complex paradox: while teachers perceive Generative AI as a powerful creative tool that accelerates lesson planning and time efficiency, they simultaneously experience heightened anxiety regarding student dependency, the erosion of authentic critical thinking, and the blurring of academic integrity. Furthermore, teachers face tensions between the push for digital innovation and the lack of robust institutional ethical guidelines. This study contributes unique theoretical insights by conceptualizing teacher AI adoption not merely as technological acceptance, but as an ongoing ethical negotiation. Practically, the findings urge policymakers to design culturally responsive, ethically grounded AI training programs rather than purely technical workshops, ensuring sustainable human-AI collaboration in education.

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References

Almaraz-López, C. (2023). Comparative Study of the Attitudes and Perceptions of University Students in Business Administration and Management and in Education toward Artificial Intelligence. Education Sciences, 13(6). https://doi.org/10.3390/educsci13060609

Anwar, S., & Umam, H. (2020). Transformative Education: Emphasizing 21st Century Skills and Competencies in The Independent Learning Curriculum. AIM: Journal of Islamic Education Management, 1(1), 1–16. https://doi.org/10.15575/aim.v1i1.28886

Anwar, S., & Umam, H. (2025). Globalization and The Crisis in Islamic Education: Al-Attas’ Epistemological Response and The Reconstruction of Adab-Based Pedagogy. JURNAL YAQZHAN: Analisis Filsafat, Agama Dan Kemanusiaan, 11(1), 135–149. https://doi.org/10.24235/jy.v11i1.21161

Arum, V. R. A. D., & Purwanti, M. S. (2025). Junior secondary teachers’ perceptions for each generation on the adoption of AI to assist assessments. Proceedings of the LLTC Conference. https://e-conf.usd.ac.id/index.php/lltc/lltc2025/paper/viewPaper/5914

Berger, P. L., & Luckmann, T. (1966). The Social Construction of Reality: A Treatise in the Sociology of Knowledge. Anchor Books.

Bewersdorff, A., Hartmann, C., Hornberger, M., Seßler, K., Bannert, M., Kasneci, E., & Nerdel, C. (2025). Taking the next step with generative artificial intelligence: The transformative role of multimodal large language models in science education. Learning and Individual Differences, 118, 102601. https://doi.org/10.1016/j.lindif.2024.102601

Bond, M., Khosravi, H., & De Laat, M. (2024). Ethical implications of generative AI in K-12 education. Computers and Education: Artificial Intelligence, 6, 100–115.

Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.

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), 22. https://doi.org/10.1186/s41239-023-00392-8

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Davis, F. D., & Granic, A. (2024). The technology acceptance model in educational contexts (2nd ed.). Springer.

Dewantara, K. H. (2013). Pusara (Revisi). Majelis Luhur Persatuan Tamansiswa.

Falcis, I. D. G., & Juaneza, M. U. (2026). Evolving teacher roles in artificial intelligence-driven learning: A phenomenological study in social studies education. Journal of Social Knowledge and Education. https://cahaya-ic.com/index.php/JSKE/article/view/2192

Fitriani, Y., Zakir, S., Gusli, R. A., & Lestari, K. M. (2023). Konsep Kecerdasan Buatan (Artificial Intelligence) Dalam Manajemen Kurikulum SD / MI. Jurnal Publikasi Ilmu Manajemen, 3(1), 11–22. https://doi.org/10.55606/jupiman.v3i1.3223

Hanan, A., Marjani, G. I., Suherman, U., Firdaus, A., Albustomi, A. G., Goffary, I., Anwar, S., & Arken, M. R. (2023). Harnessing Technology for Environmental Method: Cultivating High Order Thinking Skills for Sustainable Maritime Development Knowledge. IOP Conference Series: Earth and Environmental Science, 1265(1), 12004. https://doi.org/10.1088/1755-1315/1265/1/012004

Huang, F., Wang, Y., & Zhang, H. (2024). Modelling generative AI acceptance, perceived teachers’ enthusiasm and self-efficacy to English as a foreign language learners’ well-being in the digital era. European Journal of Education, 59(4), e12770. https://doi.org/10.1111/ejed.12770

Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024). AI literacy and its implications for prompt engineering strategies. Computers and Education: Artificial Intelligence, 6, 100225. https://doi.org/10.1016/j.caeai.2024.100225

Kuswanda, W., Sauri, R. S., Anwar, S., Riyanti, R., Sauri, R. S., Anwar, S., Vygotsky, L. S., Anwar, S., Umam, H., Yin, K. R., Bandura, A., Firdaus, A. A. D., Suryadi, I., Anwar, S., Creswell, J. W. D., Creswell, J. W. D., Suherman, U., Cipta, E. S., Anwar, S., … Azizah, A. S. N. (2025). Case Study Research and Applications: Design and Methods. At Turots: Jurnal Pendidikan Islam, 8(1), 152–160. https://doi.org/10.1088/1755-1315/1265/1/012004

Lameras, P., & Arnab, S. (2021). Artificial intelligence in education framework. British Journal of Educational Technology, 52(3), 1122–1145.

Meyer, J., Jansen, T., Schiller, R., Liebenow, L. W., Steinbach, M., Horbach, A., & Fleckenstein, J. (2024). Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students’ text revision, motivation, and positive emotions. Computers and Education: Artificial Intelligence, 6, 100199. https://doi.org/10.1016/j.caeai.2023.100199

Miles, M. B., Huberman, A. M., & Saldaña, J. (1994). Qualitative Data Analysis: An Expanded Sourcebook (2nd ed.). Sage Publications.

Mirna, W., Nursalam, N., Pariusamahu, M. N., Rahim, A., & Ambarita, J. (2026). Exploring the use of ChatGPT in developing instructional materials by senior high school Indonesian language teachers in Maluku: A mixed-methods study. Jurnal Pendidikan Malaysia, 7(2). https://doi.org/10.37478/jpm.v7i2.7593

Mizumoto, A., & Eguchi, M. (2023). Exploring the potential of using an AI language model for automated essay scoring. Research Methods in Applied Linguistics, 2(2), 100050. https://doi.org/10.1016/j.rmal.2023.100050

Muawanah, S., Marini, A., & Sarifah, I. (2024). Digital literacy challenges in Indonesian secondary education. Jurnal Pendidikan Indonesia, 13(2), 245–258.

Neumann, A. T., Arndt, T., Köbis, L., Meissner, R., Martin, A., Lange, P. d., Pengel, N., Klamma, R., & Wollersheim, H.-W. (2021). Chatbots as a Tool to Scale Mentoring Processes: Individually Supporting Self-Study in Higher Education. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.668220

Ninan, J. (2020). Online naturalistic inquiry in project management research: Directions for research. Project Leadership and Society, 1. https://doi.org/10.1016/j.plas.2020.100002

Nyaaba, M., & Zhai, X. (2024). Developing custom GPTs for education: Bridging cultural and contextual divide in generative AI. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5074403

Pamungkas, B. D. (2025). Teachers’ and students’ perceptions of AI-based educational assessment: A phenomenological approach. Jurnal Vidya Karya, 40(2). https://doi.org/10.20527/jvk.v40i2.21994

Pardede, S., Sinaga, D., & Simamora, S. (2026). ChatGPT in secondary education: A multi-theoretical case study from a developing country. Education as Change, 30(1). https://doi.org/10.25159/1947-9417/20308

Putri, N. N. A. (2025). Exploring the artificial intelligence (AI) literacy of high school teachers in Bogor: Perceptions, utilizations, and challenges in leveraging generative AI for teaching [Universitas Islam Internasional Indonesia]. https://hdl.handle.net/20.500.14576/535

Putri, N. S. E., Setiani, F., & Fath, M. S. A. (2023). Membangun Pendidikan Karakter Berbasis Kurikulum Merdeka Menuju Era Society 5.0. Pedagogik Jurnal Pendidikan, 18(2), 194–201. https://doi.org/10.33084/pedagogik.v18i2.5557

Riyanti, R., Sauri, R. S., & Anwar, S. (2026). Transformation of Student Management in Increasing Student Participation in Non Academic Activities. At Turots: Jurnal Pendidikan Islam, 8(1), 309–319. https://doi.org/https://doi.org/10.51468/jpi.v8i1.1131

Rokhmah, N. S. (2026). Simfoni intelektual di Kota Pahlawan: Menjalin harmoni antara pedagogi guru dan presisi AI. S2 Dikdas FIP Universitas Negeri Surabaya. https://s2dikdas.fip.unesa.ac.id/post/simfoni-intelektual-di-kota-pahlawan-menjalin-harmoni-antara-pedagogi-guru-dan-presisi-ai

Şen, M. (2023). A New Era for Data Analysis in Qualitative Research: ChatGPT! Shanlax International Journal of Education, 11(S1-Oct), 1–15. https://doi.org/10.34293/education.v11is1-oct.6683

Setyaningsih, L., & others. (2024). Contextual Understanding of Digital Misinformation. Journal of Cyber Media Studies, 11(4), 210–225.

Shasliani, & Septiantoko, R. (2025). The social construction of the use of artificial intelligence (AI) in learning and character formation. JIPSINDO, 12(2). https://doi.org/10.21831/jipsindo.v12i2.89299

Steiss, J., Tate, T., Graham, S., Cruz, J., Hebert, M., Wang, J., & Olson, C. B. (2024). Comparing the quality of human and ChatGPT feedback of students’ writing. Learning and Instruction, 91, 101894. https://doi.org/10.1016/j.learninstruc.2024.101894

Suherman, U., Cipta, E. S., Anwar, S., Kadir, W. A., Fakhrurrozi, M. F., Namira, S. H., & Halimatussadiyah, W. (2025). Implementing a Kindness-Based Leadership Strategy in Islamic Elementary Education. EDUKASIA: Jurnal Pendidikan Dan Pembelajaran, 6(1), 281–292. https://doi.org/https://doi.org/10.62775/edukasia.v6i1.1384

Sulastri, N., Anwar, S., Suherman, U., & Cipta, E. S. (2024). Deep Learning-Based Planning Model for Islamic Education in Indonesian Integrated Schools. EDUKASIA Jurnal Pendidikan Dan Pembelajaran, 5(2), 645–658. https://doi.org/https://doi.org/10.62775/edukasia.v5i2.1734

Sutiawan, M. (2025). Konstruksi sosial tentang kebenaran informasi antara guru dan murid di era generative AI. http://student-repository.ut.ac.id/id/eprint/129300/

Yang, Z. (2021). A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data. Computational and Mathematical Methods in Medicine, 2021. https://doi.org/10.1155/2021/1725490

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Published

2026-05-14

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How to Cite

Teachers’ Perceptions and Experiences in Integrating Generative AI into Learning: A Phenomenological Inquiry in Indonesian Secondary Schools. (2026). EDUKASIA Jurnal Pendidikan Dan Pembelajaran, 7(1), 441-450. https://doi.org/10.62775/edukasia.v7i1.1819