Article Gold Open Access 2025

Assessing students’ readiness for artificial intelligence-based project learning to strengthen local wisdom values in Indonesia

Cogent Education
Journal · Vol. 12 · Issue 1 · Art. 2582948
Abstract

The integration of artificial intelligence (AI) into higher education is reshaping learning practices globally, including in Indonesia, where technological advancement intersects with the need to preserve local cultural values. This study examines Indonesian university students’ readiness for AI-based project learning that reinforces local wisdom. A quantitative survey was conducted across four universities to assess students’ technological literacy, attitudes toward AI in learning, and awareness of cultural value integration. The findings reveal that although students generally possess high levels of technological literacy, their readiness to apply AI-based project learning within culturally grounded contexts varies considerably. Key influencing factors include access to technological resources, prior exposure to AI applications, and institutional support. A significant positive correlation was identified between technological literacy and readiness, indicating that strengthening digital competence may enhance students’ preparedness for culturally contextualised AI learning. The study highlights the need for context-sensitive curricula and training that simultaneously foster technological fluency and cultural awareness, supporting inclusive and future-oriented educational practices. © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keywords

Author Keywords

Project-Based Learning Artificial intelligence local wisdom student readiness technological literacy

Index Keywords

Author Affiliations
Department of Information Technology, Universitas Negeri Surabaya, Surabaya, East Java, Indonesia
Department of Electrical Engineering Vocational Education, Universitas Sultan Ageng Tirtayasa, Serang, Banten, Indonesia
Department of Information Technology Education, Universitas Lampung, Bandar Lampung, Lampung, Indonesia
Department of Civics Education, Universitas Muhammadiyah Ponorogo, Ponorogo, East Java, Indonesia
Department of Primary School Teacher Education, Faculty of Teacher Training and Education, Makasar City, Indonesia
Department of Informatics, Universitas Muhammadiyah Ponorogo, Ponorogo, East Java, Indonesia
Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia
Department of Civics Education, Universitas Negeri Yogyakarta, Yogyakarta, Yogyakarta, Indonesia
Funding & Acknowledgements
Grant: 0667/E5/AL.04/2024
This work was funded by Ministry of Higher Education, Science, and Technology of the Republic of Indonesia (Decree No.: 0667/E5/AL.04/2024).
References 10 References
1 Ahmad, Kashif, Data-Driven Artificial Intelligence in Education: A Comprehensive Review, IEEE Transactions on Learning Technologies, 17, pp. 12-31, (2024)
2 Al-Abdullatif, Ahlam Mohammed, The Effect of Digital Technology Integration on Students’ Academic Performance through Project-Based Learning in an E-Learning Environment, International Journal of Emerging Technologies in Learning, 16, 11, pp. 189-210, (2021)
3 Ahmad, M. Rauf, Location-invariant tests of homogeneity of large-dimensional covariance matrices, Journal of Statistical Theory and Practice, 11, 4, pp. 731-745, (2017)
4 Al-Shammari, Abdulaziz, Role of Artificial Intelligence in Enhancing Learning Outcomes of Pre-Service Social Studies Teachers, Journal of Social Studies Education Research, 15, 4, pp. 163-196, (2024)
5 Alam, Ashraf, Possibilities and Apprehensions in the Landscape of Artificial Intelligence in Education, 2021 International Conference on Computational Intelligence and Computing Applications, ICCICA 2021, (2021)
6 Alam, Ashraf, Educational technology: Exploring the convergence of technology and pedagogy through mobility, interactivity, AI, and learning tools, Cogent Engineering, 10, 2, (2023)
7 Aldraiweesh, Ahmed, The Influence of Social Support Theory on AI Acceptance: Examining Educational Support and Perceived Usefulness Using SEM Analysis, IEEE Access, 13, pp. 18366-18385, (2025)
8 Alzubaidi, Laith, Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements, International Journal of Intelligent Systems, 2023, (2023)
9 Bhimdiwala, Ayesha, Advancing the Design and Implementation of Artificial Intelligence in Education through Continuous Improvement, International Journal of Artificial Intelligence in Education, 32, 3, pp. 756-782, (2022)
10 Biagini, Gabriele, Towards an AI-Literate Future: A Systematic Literature Review Exploring Education, Ethics, and Applications, International Journal of Artificial Intelligence in Education, 35, 4, pp. 2616-2666, (2025)
Quick Actions
Full Text via DOI
Citation Metrics
0
Times Cited (Scopus)

References 10
Document Identifiers