Implementasi kecerdasan buatan untuk personalisasi kurikulum adaptif dalam era society 5.0.
Abstract
This study investigates how Artificial Intelligence (AI) can be leveraged to foster innovative, inclusive, and adaptive learning experiences within the context of Society 5.0. The authors contend that AI is a pivotal factor driving the modernization of education, particularly through its capacity to personalize content, enhance feedback responsiveness, and streamline administrative workloads.The methodology employed is a qualitative review, utilizing literature analysis and examination of practical case studies, including the implementation of AI-driven adaptive learning, educational chatbots, and Virtual Reality applications. Key findings reveal a dual benefit of AI: a reduction in non-teaching duties for educators and the ability to deliver individually tailored learning programs, alongside an improvement in students' digital literacy. However, this integration faces hurdles, such as resistance to change and unequal access to technology. Moving forward, the researchers underscore the necessity of comprehensive policies and targeted training for teachers to ensure AI implementation is ethical and effective, aligning with the human-centric goals of Society 5.0.
Downloads
References
Ahmad, S. F., Rahmat, M. 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
Alam, A. (2021). Should robots replace teachers? Mobilisation of AI and learning analytics in education. In 2021 International Conference on Advances in Computing, Communication, and Control (ICAC3) (pp. 1–12). https://doi.org/10.1109/ICAC353642.2021.9697300
Astari, T. (2021). Evaluasi diseminasi virtual reality (VR) sebagai pembelajaran inovatif. Jurnal Penelitian Pendidikan, 13(2), 113–120. https://doi.org/10.21137/jpp.2021.13.2.7
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 Cope, B.,
Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229–1245. https://doi.org/10.1080/00131857.2020.1728732 Direktorat Pembelajaran dan Kemahasiswaan.
Kaswan, A., Fatchan, A., & Budi, A. S. (2024). The Future of Learning: Exploring the Impact of Artificial Intelligence in Higher Education. International Journal of Education and Artificial Intelligence, 8(2), 45-58.
(2024). Buku panduan penggunaan generative artificial intelligence (GenAI) pada pembelajaran di perguruan tinggi (1st ed.). Direktorat Pembelajaran dan Kemahasiswaan Direktorat Jenderal Pendidikan Tinggi,
Grady, J. S., Her, M., Moreno, G., Perez, C., & Yelinek, J. (2019). Emotions in storybooks: A comparison of storybooks that represent ethnic and racial groups in the United States. Psychology of Popular Media Culture, 8(3), 207–217. https://doi.org/10.1037/ppm0000185
Jerrentrup, A., Mueller, T., Glowalla, U., Herder, M., Henrichs, N., Neubauer, A., & Schaefer, J. R. (2018). Teaching medicine with the help of “Dr. House.” PLoS ONE, 13(3), Article e0193972. https://doi.org/10.1371/journal.pone.0193972
Sanchiz, M., Chevalier, A., & Amadieu, F. (2017). How do older and young adults start searching for information? Impact of age, domain knowledge and problem complexity on the different steps of information searching. Computers in Human Behavior, 72, 67–78. https://doi.org/10.1016/j.chb.2017.02.038
Copyright (c) 2026 izzatur rohmaniah

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.



