Artificial Intelligence in Inclusive Education: A Systematic Review of Teacher Competencies
Kata Kunci:
Literasi AI, kecerdasan buatan, pendidikan inklusif, PRISMA, kompetensi guruAbstrak
Penelitian ini bertujuan meninjau secara sistematis kompetensi guru yang diperlukan untuk mengimplementasikan AI pada konteks pendidikan inklusif. Pendekatan systematic review digunakan dengan mengacu pada pedoman PRISMA 2020. Sumber data diperoleh melalui basis data Scopus dan Google Scholar dengan rentang publikasi 2017–2025. Dari total 714 artikel yang teridentifikasi, sebanyak delapan artikel memenuhi kriteria inklusi dan dianalisis secara tematik. Hasil kajian menunjukkan bahwa penerapan AI dalam pendidikan inklusif menuntut penguasaan tiga dimensi utama kompetensi guru, yaitu fondasi teknis, kesadaran etis, dan pedagogi inklusif. AI berpotensi memperkuat personalisasi pembelajaran, menumbuhkan keadilan akses, serta meningkatkan kesejahteraan psikologis peserta didik. Namun, kesiapan guru, keterbatasan pelatihan, dan lemahnya dukungan kebijakan masih menjadi hambatan utama dalam implementasinya. Penelitian ini menegaskan perlunya penguatan literasi AI bagi guru melalui pelatihan profesional yang terarah, kebijakan pendidikan yang berpihak pada inklusivitas, serta tata kelola etika yang adaptif terhadap dinamika teknologi. Hasil tinjauan ini diharapkan menjadi dasar bagi pengembangan kebijakan dan program peningkatan kompetensi guru di era kecerdasan buatan.
Unduhan
Referensi
Ahmad, S. F., Rahmat, Mohd. K., Mubarik, M. S., Alam, M. M., & Hyder, S. I. (2021). Artificial Intelligence and Its Role in Education. Sustainability, 13(22), 12902. https://doi.org/10.3390/su132212902
Alnaim, M., & Al-Otaibi, G. (2025). Learning disabilities teachers’ perceptions of employing artificial intelligence applications in teaching their students. International Journal of Evaluation and Research in Education, 14(4), 2732–2741. https://doi.org/10.11591/ijere.v14i4.32888
Amboka, P., Kirimi Sindi, J., Wamukoya, M., Orobaton, N., Neba, A., Vicente-Crespo, M., & Gitau, E. (2025). Discoverability of African Journals by Google Scholar and Inclusion in Scopus. Gates Open Research, 9, 103. https://doi.org/10.12688/gatesopenres.16372.1
Arranz-García, O., García, M. del C. R., & Alonso-Secades, V. (2025). Perceptions, strategies, and challenges of teachers in the integration of artificial intelligence in primary education: A systematic review. Journal of Information Technology Education: Research, 24. https://doi.org/10.28945/5458
Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468. https://doi.org/10.1016/j.chb.2022.107468
Chai, C. S., Liang, S., & Wang, X. (2024). A survey study of chinese teachers’ continuous intentions to teach artificial intelligence. Education and Information Technologies, 29(11), 14015–14034. https://doi.org/10.1007/s10639-023-12430-z
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Delcker, J., Heil, J., & Ifenthaler, D. (2025). Evidence-based development of an instrument for the assessment of teachers’ self-perceptions of their artificial intelligence competence. Educational Technology Research and Development, 73(1), 115–133. https://doi.org/10.1007/s11423-024-10418-1
Eden, C. A., Chisom, O. N., & Adeniyi, I. S. (2024). Integrating AI in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews, 10(2), 006–013. https://doi.org/10.30574/msarr.2024.10.2.0039
Feigerlova, E., Hani, H., & Hothersall-Davies, E. (2025). A systematic review of the impact of artificial intelligence on educational outcomes in health professions education. BMC Medical Education, 25(1), 129. https://doi.org/10.1186/s12909-025-06719-5
Fundi, M., Sanusi, I. T., Oyelere, S. S., & Ayere, M. (2024). Advancing AI education: Assessing Kenyan in-service teachers’ preparedness for integrating artificial intelligence in competence-based curriculum. Computers in Human Behavior Reports, 14, 100412. https://doi.org/10.1016/j.chbr.2024.100412
Gusenbauer, M. (2024). Beyond Google Scholar, Scopus, and Web of Science: An evaluation of the backward and forward citation coverage of 59 databases’ citation indices. Research Synthesis Methods, 15(5), 802–817. https://doi.org/10.1002/jrsm.1729
Hyatt, S. E., & Owenz, M. B. (2024). Using Universal Design for Learning and Artificial Intelligence to Support Students with Disabilities. College Teaching, 1–8. https://doi.org/10.1080/87567555.2024.2313468
Kalniņa, D., Nīmante, D., & Baranova, S. (2024). Artificial intelligence for higher education: benefits and challenges for pre-service teachers. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1501819
Kathy Cheng, H. Y., Chen, Y. C., Yu, Y. C., & Ju, Y. Y. (2025). Policy drivers and barriers to inclusive EdTech adoption in special education: a logistic regression study. International Journal of Inclusive Education. https://doi.org/10.1080/13603116.2025.2528107
Kizilcec, R. F. (2024). To Advance AI Use in Education, Focus on Understanding Educators. International Journal of Artificial Intelligence in Education, 34(1), 12–19. https://doi.org/10.1007/s40593-023-00351-4
Liu, K., Devadason, E., & Chen, B. (2025). Psychological preparation of physical education teachers in inner Mongolia before class. Environment and Social Psychology, 10(4). https://doi.org/10.59429/esp.v10i4.3417
Lund, B. D. (2022). Is academic research and publishing still leaving developing countries behind? Accountability in Research, 29(4), 224–231. https://doi.org/10.1080/08989621.2021.1913124
Mamlok, D. (2025). Landscapes of Sociotechnical Imaginaries in Education: A Theoretical Examination of Integrating Artificial Intelligence in Education. Foundations of Science, 30(2), 529–540. https://doi.org/10.1007/s10699-024-09948-x
Mustafa, M. Y., Tlili, A., Lampropoulos, G., Huang, R., Jandrić, P., Zhao, J., Salha, S., Xu, L., Panda, S., Kinshuk, López-Pernas, S., & Saqr, M. (2024). A systematic review of literature reviews on artificial intelligence in education (AIED): a roadmap to a future research agenda. Smart Learning Environments, 11(1), 59. https://doi.org/10.1186/s40561-024-00350-5
Ng, D. T. K., Lee, M., Tan, R. J. Y., Hu, X., Downie, J. S., & Chu, S. K. W. (2023). A review of AI teaching and learning from 2000 to 2020. Education and Information Technologies, 28(7), 8445–8501. https://doi.org/10.1007/s10639-022-11491-w
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137–161. https://doi.org/10.1007/s11423-023-10203-6
Ning, Y., Zhang, C., Xu, B., Zhou, Y., & Wijaya, T. T. (2024). Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements. Sustainability, 16(3), 978. https://doi.org/10.3390/su16030978
Nixon, N., Lin, Y., & Snow, L. (2024). Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity. Policy Insights from the Behavioral and Brain Sciences, 11(1), 85–92. https://doi.org/10.1177/23727322231220356
Ogbu Eke, E. (2024). Assessing the readiness and attitudes of Nigerian teacher educators towards adoption of artificial intelligence in educational settings. Journal of Educational Technology and Online Learning, 7(4-ICETOL 2024 Special Issue), 473–487. https://doi.org/10.31681/jetol.1503305
Densmaa, O., & Enkhbat, A. (2025). Teachers require ongoing professional growth. International Journal of Innovative Technologies in Social Science, 1(45). https://doi.org/10.31435/ijitss.1(45).2025.3202
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, n71. https://doi.org/10.1136/bmj.n71
Saborío-Taylor, S., & Rojas-Ramírez, F. (2024). Universal design for learning and artificial intelligence in the digital era: Fostering inclusion and autonomous learning. International Journal of Professional Development, Learners and Learning, 6(2), ep2408. https://doi.org/10.30935/ijpdll/14694
Sun, J., Ma, H., Zeng, Y., Han, D., & Jin, Y. (2023). Promoting the AI teaching competency of K-12 computer science teachers: A TPACK-based professional development approach. Education and Information Technologies, 28(2), 1509–1533. https://doi.org/10.1007/s10639-022-11256-5
Tafazoli, D. (2024). Exploring the potential of generative AI in democratizing English language education. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100275
Tan, X., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8, 100355. https://doi.org/10.1016/j.caeai.2024.100355
Tissingh, E. K., Marais, L., Loro, A., Bose, D., Paner, N. T., Ferguson, J., Morgensten, M., & McNally, M. (2022). Management of fracture-related infection in low resource settings: how applicable are the current consensus guidelines? EFORT Open Reviews, 7(6), 422–432. https://doi.org/10.1530/EOR-22-0031
Trevisan, O., Christensen, R., Drossel, K., Friesen, S., Forkosh-Baruch, A., & Phillips, M. (2024). Drivers of Digital Realities for Ongoing Teacher Professional Learning. Technology, Knowledge and Learning, 29(4), 1851–1868. https://doi.org/10.1007/s10758-024-09771-0
UNESCO. (2024). AI competency framework for teachers. UNESCO. https://doi.org/10.54675/ZJTE2084
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30.
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167
Yan, W., Amresh, A., & Prescott, P. (2025). Facilitating Indigenous-serving Computer Science Teachers’ Curriculum Design and Implementation through a Long-term Professional Development. RESPECT 2025 - Proceedings of the 2025 Conference for Research on Equitable and Sustained Participation in Engineering, Computing, and Technology, 358–362. https://doi.org/10.1145/3704637.3734793
Younis, B. (2025). The artificial intelligence literacy (AIL) scale for teachers: A tool for enhancing AI education. Journal of Digital Learning in Teacher Education, 41(1), 37–56. https://doi.org/10.1080/21532974.2024.2441682
##submission.downloads##
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2026 Ade Putra, Achadi Budi Santosa, Enung Hasanah

Artikel ini berlisensiCreative Commons Attribution-ShareAlike 4.0 International License.
Karya dalam Alifbata: Jurnal Pendidikan Dasar dilisensikan di bawah Lisensi Internasional Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0).
- Pengguna bebas untuk menyalin dan mendistribusikan ulang materi dalam media atau format apa pun, me-remix, memodifikasi, dan mengembangkan materi berdasarkan ketentuan ini;
- Pengguna harus memberikan penghargaan yang sesuai, menyediakan tautan ke lisensi, dan menunjukkan jika ada perubahan yang dilakukan.
- Pengguna dapat melakukannya dengan cara yang wajar, tetapi tidak dengan cara yang menunjukkan bahwa pemberi lisensi mendukung pengguna atau penggunaan mereka.



