Improving Students' Artificial Intelligence Literacy through Hybrid Training in Supporting the Competency of the Society 5.0 Era

Authors

  • Supiyandi Supiyandi Universitas Pembangunan Panca Budi
  • Chairul Rizal Universitas Pembangunan Panca Budi
  • Irman Efendi AMIK Bukittinggi
  • Muhammad Noor Hasan Siregar Universitas Graha Nusantara
  • Arief Wibowo Universitas Budi Luhur

         DOI:

https://doi.org/10.62712/juribmas.v5i1.1038

Keywords:

Artificial Intelligence, AI literacy, hybrid training, university students, Society 5.0

Abstract

This community service program aimed to improve university students’ Artificial Intelligence (AI) literacy through hybrid training that supports the competencies required in the Society 5.0 era. The rapid advancement of digital technology has increased the need for students to understand, utilize, and critically evaluate AI technologies in academic and professional contexts. The program was implemented using a hybrid learning approach that combined face-to-face and online learning activities through educational counseling, workshops, interactive discussions, and practical simulations of AI applications. The participants were university students who received training in basic AI concepts, ethical use of AI, digital literacy, and the implementation of AI technologies to support academic activities and twenty-first-century competencies. The instruments used in this activity included training modules, digital presentation media, observation sheets, and pre-test and post-test evaluations to assess participants’ understanding before and after the training sessions. The findings indicated that the hybrid training successfully improved students’ understanding of Artificial Intelligence, enhanced their ability to use AI technologies in academic activities, and increased their awareness of ethical and responsible AI use. Furthermore, the hybrid learning model provided flexible, interactive learning experiences that promoted active participation and strengthened students’ adaptability to the digital transformation in the Society 5.0 era. The program also demonstrated that AI literacy plays a significant role in supporting students’ readiness for technology-driven educational and professional environments. Therefore, hybrid AI literacy training can serve as an effective and relevant model for developing digital competencies in higher education and supporting the transformation of education in the Society 5.0 era.

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References

Ally, M., & Perris, K. (2022). Artificial Intelligence in the Fourth Industrial Revolution to Educate for Sustainable Development. Canadian Journal of Learning and Technology, 48(4). https://doi.org/10.21432/cjlt28287

Chee, H., Ahn, S., & Lee, J. (2025). A Competency Framework for AI Literacy: Variations by Different Learner Groups and an Implied Learning Pathway. British Journal of Educational Technology, 56(5), 2146–2182. https://doi.org/10.1111/bjet.13556

D. Ainin, MAED, J., & M. Bauyot, PhD, M. (2024). Quantifying the Impact of Teachers Instructional Practice and ICT Technology Integration on Teachers Readiness Level in the 21 st Century. International Journal of Research Publications, 149(1). https://doi.org/10.47119/ijrp1001491520246521

De Los Reyes, M., Manalo, C., & Omar, S. (2024). Challenges and computer-aided reading strategies in vocabulary enhancement. Journal of Education and Academic Settings, 1(1), 1–11. https://doi.org/10.62596/z087de38

Domínguez Figaredo, D., & Stoyanovich, J. (2023). Responsible AI literacy: A stakeholder-first approach. Big Data & Society, 10(2). https://doi.org/10.1177/20539517231219958

Farrelly, T., & Baker, N. (2023). Generative Artificial Intelligence: Implications and Considerations for Higher Education Practice. Education Sciences, 13(11), 1109. https://doi.org/10.3390/educsci13111109

Lymperis, L. (2021). Evidence from a blended remote learning intervention in Greek small rural primary schools. Journal of Applied Learning and Teaching, 4(Special Issue 1), 18–30. https://doi.org/10.37074/jalt.2021.4.s1.5

Menggo, S., & Darong, H. C. (2022). Empirical Evidence of Blended Learning in Indonesian Efl Class. JEELS (Journal of English Education and Linguistics Studies), 9(1), 115–147. https://doi.org/10.30762/jeels.v9i1.3957

Mohammed AL WORAFI, Y., CHOOI, W. H., TAN, C. S., LUA, P. L., FARRUKH, M. J., ZULKIFLY, H. H., & MING, L. C. (2024). ChatGPT’s Success in the Board-Certified Pharmacotherapy Specialist (BCPS) Exam. Journal of Research in Pharmacy, 28(3)(28(3)), 674–678. https://doi.org/10.29228/jrp.729

Mykhaylenko, V., Safonova, N., Ilchenko, R., Ivashchuk, A., & Babik, I. (2024). Using artificial intelligence to personalise curricula and increase motivation to learn, taking into account psychological aspects. Data and Metadata, 3. https://doi.org/10.56294/dm2024.241

S, S. D., & G, S. (2024). Innovative Strategy In E-Competence & Learner Edification-An Exploratory Investigation. Educational Administration: Theory and Practice. https://doi.org/10.53555/kuey.v30i5.3556

Salhab, R. (2024). AI Literacy across Curriculum Design: Investigating College Instructor’s Perspectives. Online Learning, 28(2). https://doi.org/10.24059/olj.v28i2.4426

Xiao, J., Alibakhshi, G., Zamanpour, A., Zarei, M. A., Sherafat, S., & Behzadpoor, S. F. (2024). How AI Literacy Affects Students’ Educational Attainment in Online Learning: Testing a Structural Equation Model in Higher Education Context. International Review of Research in Open and Distributed Learning, 25(3 Special Issue), 179–198. https://doi.org/10.19173/irrodl.v25i3.7720

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Published

2026-05-15

How to Cite

Supiyandi, S., Rizal, C., Efendi, I., Siregar, M. N. H., & Wibowo, A. (2026). Improving Students’ Artificial Intelligence Literacy through Hybrid Training in Supporting the Competency of the Society 5.0 Era. Jurnal Hasil Pengabdian Masyarakat (JURIBMAS), 5(1), 246–258. https://doi.org/10.62712/juribmas.v5i1.1038

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