Pengalaman Guru dalam Integrasi Kecerdasan Buatan: Studi Fenomenologis pada Pembelajaran Digital
Teachers’ Experiences in Integrating Artificial Intelligence: A Phenomenological Study in Digital Learning
Keywords:
Artificial Intelligence, Digital Learning, Teacher Experience, Phenomenological Study, Educational Technology IntegrationAbstract
This study aims to explore and understand teachers’ experiences in integrating artificial intelligence into digital learning environments focused on teachers’ perceptions, challenges, and strategies in adopting artificial intelligence to support instructional practices. A qualitative approach with a phenomenological design was employed to capture the lived experiences of teachers who have utilized artificial intelligence in their teaching. The participants consisted of secondary school teachers selected through purposive sampling. Data were collected through in-depth interviews and relevant documentation, and analyzed using phenomenological analysis to identify significant themes. The findings reveal that the integration of artificial intelligence provides substantial benefits, including improved efficiency in lesson planning, enhanced instructional creativity, and the ability to personalize student learning experiences. Teachers reported that artificial intelligence tools support adaptive learning and facilitate more engaging classroom activities. However, several challenges were also identified, such as limited digital literacy, concerns about over-reliance on technology, and ethical issues related to academic integrity and data use. In response to these challenges, teachers adopted various adaptive strategies, including continuous professional development, collaborative learning practices, and the selective and reflective use of artificial intelligence tools. The contribution of this research is artificial intelligence offers promising opportunities to enhance digital learning, its successful integration requires balanced implementation, ongoing teacher support, and the development of ethical guidelines. These findings contribute to a deeper understanding of how teachers navigate technological transformation in education.
References
Almeida, F., Junça Silva, A., Lopes, S. L., & Braz, I. (2025). Understanding Recruiters’ Acceptance of Artificial Intelligence: Insights from the Technology Acceptance Model. Applied Sciences, 15(2), 746. https://doi.org/10.3390/app15020746
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. Journal of AI, 7(1), 52-62. https://doi.org/10.2139/ssrn.4337484
Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2023). A Meta Systematic Review of Artificial Intelligence in Higher Education: a Call for Increased Ethics, Collaboration, and Rigour. International Journal of Educational Technology in Higher Education. 21, (4), https://doi.org/10.1186/s41239-023-00436-z
Chen, L. et al. (2024). Artificial Intelligence in Education: A Review. in IEEE Access. 8, (1). 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
Chiu, T. K., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118
Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2013). Removing Obstacles to the Pedagogical Changes Required by Jonassen's Vision of Authentic Technology-Enabled Learning. Journal: Computers & Education. 64; (2). 175-182. https://doi.org/10.1016/j.compedu.2012.10.008
Holmes, W. (2023). AIED—Coming of Age. International Journal of Artificial Intelligence in Education 34(1); 1–11. https://doi.org/10.1007/s40593-023-00352-3
Ibrahim, F., Münscher, J. C., Daseking, M., & Telle, N. T. (2025). The technology acceptance model and adopter type analysis in the context of artificial intelligence. Frontiers in Artificial Intelligence, 7, 1496518. https://doi.org/10.3389/frai.2024.1496518
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., et al. (2023). Chatgpt for Good? on Opportunities and Challenges of Large Language Models for Education. Learning and Individual Differences. 103. https://doi.org/10.1016/j.lindif.2023.102274
Klarisa, L., Setiyanti, A. A., Purnomo, H. D., & Gundo, A. J. (2023). Analisis Kesiapan Pembelajaran Artificial Intelligence di Tingkat Pendidikan Dasar (Studi Kasus di SMP Negeri 1 Salatiga). Edukatif: Jurnal Ilmu Pendidikan, 5(3), 1543-1552. https://doi.org/10.31004/edukatif.v5i3.5271
Luon, M. A. P., Sogen, T. B. I. ., Kabu, D. R. ., Dosinaeng, W. B. N. ., Jagom, Y. O. ., & Nai, Y. D. . (2025). Persepsi Guru Matematika terhadap Penggunaan Artificial Intelligence sebagai Alat Bantu dalam Penyusunan Perangkat Pembelajaran. Science : Jurnal Inovasi Pendidikan Matematika dan IPA, 5(3), 1447–1460. https://doi.org/10.51878/science.v5i3.6080
Nisa, R. Abdullah, G. Mala, A. Jumroni, Rofi’ah, U.A. Sunariyah, A. Muhaimin, M.Z. Zuhriyah, N. Puspita, A. G. (2026). Metode Penelitian Praktis: Panduan Menyusun Karya Ilmiah. Asta Cipta Mandiri Indonesia
Nisa, R. (2024). Islamic Primary School Teachers’ Perceptions on Digital Technology-Based Learning. Cendekia, 16(01), 162-171. https://doi.org/10.37850/cendekia.v16i01.654
Noy, S., & Zhang, W. (2023). Experimental Evidence on The Productivity Effects of Generative Artificial Intelligence. Science, 381(6654), 187-192. https://doi.org/10.1126/science.adh2586
Mertens, D. M. (2015). Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods (4th ed.). Thousand Oaks, CA: Sage Publications
OECD. (2025). OECD Skills Outlook 2025: Building the Skills of the 21st Century for All. https://doi.org/10.1787/26163cd3-en
Rahmat, R., Rabi’ah, R. A., & Ali, M. S. (2025). Pemanfaatan Kecerdasan Buatan (Artificial Intelligence) dalam Pembelajaran di MTs Intisyarul Mabarrat. SERUMPUN: Journal of Education, Politic, and Social Humaniora, 3(2), 143-154. https://doi.org/10.61590/srp.v3i2.185
Rahmawati, F., Setiani, A. W., Utari, M. P., Safinatunnajah, S., Ain, T. N., & Atmoko, S. (2025). Pengenalan Artificial Intelligence bagi Siswa Sekolah Dasar melalui Literasi Digital. Journal: Dedikasi: Journal of Community Engagement. 3(1), 35–41. https://doi.org/10.58706/dedikasi.v3n1.p35-41
Ramadani, N., Yul, F. A., & Fitriany, F. (2025). Eksplorasi Persepsi Mahasiswa terhadap Integrasi Artificial Intelligence dalam Pembelajaran di Era Digital. Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence), 5(3), 619-626. https://doi.org/10.55382/jurnalpustakaai.v5i3.1355
Rifky, S., Putra, J. M., Ahmad, A. T., Widayanthi, D. G. C., Abdullah, G., Sunardi, S., & Syathroh, I. L. (2024). Pendidikan Yang Menginspirasi: Mengasah Potensi Individu. Yayasan Literasi Sains Indonesia.
Runge, I., Hebibi, F., & Lazarides, R. (2025). Acceptance of pre-service teachers towards artificial intelligence (AI): The role of AI-Related Teacher Training Courses and AI-TPACK within The Technology Acceptance Model. Education Sciences, 15(2), 167. https://doi.org/10.3390/educsci15020167
Slamet, S., Fitria, M., & Laventia, F. (2025). Pemaknaan Guru terhadap Peran Artificial Intelligence (AI) dalam Transformasi Digital Pendidikan di Sekolah Dasar. RIGGS: Journal of Artificial Intelligence and Digital Business, 4(3), 884-889. https://doi.org/10.31004/riggs.v4i3.2074
Storey, V. C., Yue, W. T., Zhao, J. L., & Lukyanenko, R. (2025). Generative artificial intelligence: Evolving technology, growing societal impact, and opportunities for information systems research. Information Systems Frontiers, 1-22. https://doi.org/10.1007/s10796-025-10581-7
Sulistiyowati, N. A., Anasari, T., Abdillah, D. P. S., Soekarno, G. A., Narimo, S., & Anif, S. (2026). Analisis SWOT Faktor Internal Sekolah untuk Peningkatan Kualitas Pembelajaran. RIGGS: Journal of Artificial Intelligence and Digital Business, 4(4), 3646-3653. https://doi.org/10.31004/riggs.v4i4.4089
Suryadi, A., Febrianti, E. L., & Sikumbang, A. S. (2024). Memperkuat Kemampuan Guru di Era Digital Melalui Pelatihan Kecerdasan Buatan. Jurnal: PUAN Indonesia. 6(1), 123–130. https://doi.org/10.37296/jpi.v6i1.242
Teskeredžić, A., & Mehmedović, M. (2025). The Impact of Artificial Intelligence and Assistive Technology on The Quality of Life of People with Visual Impairment. Research in Education and Rehabilitation, 8(2), 518-527. https://doi.org/10.51558/2744-1555.2025.8.2.518
UNESCO. (2024). AI Competency Framework for Teachers. (CrossRef & UNESCO Publishing). https://doi.org/10.54675/ZJTE2084
Xiong, P., & Zhang, Y. (2026). RETRACTED ARTICLE: Artificial intelligence as an assistive technology in language education: investigating TPACK, self-efficacy, and organisational support. Disability and Rehabilitation: Assistive Technology, 1-19. https://doi.org/10.1080/17483107.2025.2561927
Zaki, A. R. M., & Ulya, I. A. (2025). Analisis Kesiapan Pedagogis dan Teknologis Guru dalam Mengadopsi AI. Adaptif: Jurnal Pendidikan Indonesia, 6(7), 3220–3228. https://doi.org/10.59141/japendi.v6i7.8434
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2023).
Systematic Review of Research on Artificial Intelligence Applications in Higher Education. Journal: International Journal of Educational Technology in Higher Education. 16(39). 291–306. https://doi.org/10.1186/s41239-019-0171-0


