How Can ChatGPT Empower Indonesian Classrooms?
DOI:
https://doi.org/10.47134/frontiers.v1i3.423Keywords:
Generative AI in Education, Digital Equity, Cultural Localization, Pedagogical Innovation, ASEAN Educational PolicyAbstract
The integration of generative AI like ChatGPT into Indonesia’s international education ecosystem presents a transformative yet contentious frontier, poised to redefine pedagogical paradigms while amplifying systemic inequities. This study interrogates ChatGPT’s dual role as a catalyst for cognitive empowerment and a potential vector of exclusion in a nation fractured by urban-rural divides, linguistic diversity, and infrastructural deficits. Through a qualitative, multi-site exploratory design spanning five Indonesian international schools, the research triangulates classroom observations, educator focus groups, and policy analyses to uncover four critical themes: Pedagogical Reconfiguration, Ethical Tensions, Cultural Negotiation, and Infrastructural Inequity. Findings reveal ChatGPT’s capacity to democratize access to personalized, constructivist-aligned learning—evidenced by a 28% improvement in student narrative coherence—while exposing stark disparities: 40% of rural schools lack adequate connectivity, and Western-centric AI models often erode local cultural identity. The study positions Indonesia’s grassroots innovations—such as hybrid AI labs and Socratic dialogue simulations—as pioneering yet precarious, demanding urgent alignment with Pancasila values and UNESCO’s equity mandates. Strategic recommendations advocate for a trifecta of training (cultivating AI-literate educators), infrastructure (mobile-first, multilingual tools), and policy (rights-based frameworks harmonized with ASEAN AI governance). Crucially, the research underscores that ChatGPT’s ethical integration hinges on localized language models, community-driven tech hubs, and cross-sector collaboration to bridge Java-centric privilege with Papua’s marginalization. As Indonesia navigates this AI-inflected crossroads, the study issues a clarion call: Without systemic investment in digital justice and cultural intelligence, generative AI risks entrenching hierarchies it promises to dismantle, rendering equitable human flourishing not an aspiration but an algorithmically mediated paradox.
References
Alfiriani, A., Setyosari, P., Ulfa, S., & Praherdhiono, H. (2022). Developing networked online learning designs and its effectiveness on the works of students in education: Case studies in Indonesia. JOTSE, 12(1), 4-20.
Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives: complete edition. Addison Wesley Longman, Inc.
ASEAN Secretariat. (2024). ASEAN guide on AI governance and ethics. ASEAN. https://asean.org/book/asean-guide-on-ai-governance-and-ethics/
Badan Pusat Statistik. (2023). Statistics of Indonesian youth 2023. https://www.bps.go.id/id/publication/2023/12/29/18781f394974f2cae5241318/statistics-of-indonesian-youth-2023.html
Bekdemir, Y. (2024). The urgency of AI integration in teacher training: Shaping the future of education. Journal of Research in Didactical Sciences, 3(1), 37–41. https://www.researchgate.net/publication/386107830
Boonmoh, A. (2025). Understanding Thai EFL Teachers’ and Students’ Perspectives on Digital Dictionary Use in the Post-Pandemic Era. International Journal of Lexicography, ecaf008.
Collier, S. J., & Ong, A. (2007). Global Assemblages Anthropological Problems. Global Assemblages: Technology, Politics, and Ethics as Anthropological Problems, 3-21.
Darling-Hammond, L. (2017). Teacher education around the world: What can we learn from international practice?. European journal of teacher education, 40(3), 291-309.
Deci, E. L., & Ryan, R. M. (2013). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
Department of Trade and Industry (DTI). (2024, July 3). DTI launches National AI Strategy Roadmap 2.0 and Center for AI Research, positioning the Philippines as a Center of Excellence in AI R&D. https://www.dti.gov.ph/archives/news-archives/dti-launches-national-ai-strategy-roadmap-2-0-center-ai-research-positioning-philippines-center-excellence-ai-rampd/
Dharmaraj, S. (2023, October 7). Vietnam’s quest for digital transformation in education. OpenGov Asia. https://opengovasia.com/2023/10/07/vietnams-quest-for-digital-transformation-in-education/
Eslit, E. (2024). AI-Enhanced Language Learning: Bridging Cultures and Breaking Barriers.
Ghann, P. (2020). Deploying AI as Teachers in the Rural Areas of Ghana. Am J Compt Sci InformTechnol, 8(5), 67.
Global Education Monitoring Report Team & SEAMEO Regional Open Learning Center. (2023). Technology in education: A case study on Indonesia (Background paper prepared for the 2023 Global Education Monitoring Report: Technology and education, Southeast Asia, ED/GEMR/MRT/2023/SA/P1/12). UNESCO. https://doi.org/10.54676/WJMY7427
Handayani, N. D., Nitiasih, P. K., Sutama, I., & Ratminingsih, N. M. (2024). Preferred Learning Model in Studying English as a Foreign Language During Post-Pandemic Period: Blended Learning, Online Learning, or Face to Face?. Environmental & Social Management Journal/Revista de Gestão Social e Ambiental, 18(9).
Joel, R., Lakshmi, N., Shanthakumar, P., TD, J. F., & Siva, A. (2025). Evaluating the Impact of AI Tools on Teaching Effectiveness and Student Outcomes: Opportunities and Challenges. Improving Student Assessment With Emerging AI Tools, 273-300.
Kayalı, B., & Balat, Ş. (2024). Assessment, Evaluation, and Feedback in Online Education With Artificial Intelligence-Supported Tools. In AI Algorithms and ChatGPT for Student Engagement in Online Learning (pp. 124-135). IGI Global.
Kayyali, M. (2024). Future possibilities and challenges of AI in education. In Transforming education with generative AI: Prompt engineering and synthetic content creation (pp. 118-137). IGI Global Scientific Publishing.
Lampou, R. (2023). The integration of artificial intelligence in education: Opportunities and challenges. Review of Artificial Intelligence in Education, 4, e15-e15.
Lewis, A. A. (2025). Unpacking Cultural Bias in AI Language Learning Tools: An Analysis of Impacts and Strategies for Inclusion in Diverse Educational Settings. International Journal of Research and Innovation in Social Science, 9(1), 1878-1892.
Lv, W., Yang, C., & Zhang, W. (2023, April). Implementation Dilemma and Breakthrough Path of AI Education in Primary and Secondary Schools in Less Developed Areas. In 2023 5th International Conference on Computer Science and Technologies in Education (CSTE) (pp. 248-255). IEEE.
Mahmoud, C. F., & Sørensen, J. T. (2024). Artificial Intelligence in Personalized Learning with a Focus on Current Developments and Future Prospects. Research and Advances in Education, 3(8), 25-31.
Maspul, K. A. (2024). Using Interactive Language Development Tools to Enhance Cognitive and Literacy Skills in K-12 Education. J-SHMIC: Journal of English for Academic, 11(1), 20-35.
Maspul, K. A. (2024a). Discovering the Underlying Motivations for Empowering Education Through Innovation. Journal of Information System and Education Development, 2(1), 27-32.
Maspul, K. A. (2024b). Exploring STEM education for real-world climate change concerns to empower students as change agents. Journal of Physics Education and Science, 1(2), 12.
Mehdaoui, A. (2024). Unveiling barriers and challenges of AI technology integration in education: Assessing teachers' perceptions, readiness and anticipated resistance. Futurity Education, 4(4), 95-108.
Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: Guidance for policy-makers. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000376709
Ministry of Education, Culture, Research, and Technology (Kemdikbud). (2023). Technology-driven education reform in Indonesia. https://www.kemdikbud.go.id/main/files/download/437fd27fedb5a46
Morales-Chan, M., Amado-Salvatierra, H. R., & Hernandez-Rizzardini, R. (2024, July). AI-driven content creation: Revolutionizing educational materials. In Proceedings of the Eleventh ACM Conference on Learning@ Scale (pp. 556-558).
Ng, P. T. (2023). Learning in an era of uncertainty in Singapore: diversity, lifelong learning, inspiration and paradigm shift. Educational Research for Policy and Practice, 1-7.
Oktaviane, Y. (2024). Integration of Digital Tools in Primary Education: A Case Study on The Impact of Interactive Learning Platforms Using Artificial Intelligence. In Forum for University Scholars in Interdisciplinary Opportunities and Networking (Vol. 1, No. 1, pp. 746-753).
Roshanaei, M., Olivares, H., & Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(4), 123-143.
Sethi, K., Sharma, A., Chauhan, S., & Jaiswal, V. (2020). Impact of social and cultural challenges in education using AI. In Revolutionizing education in the age of ai and machine learning (pp. 130-151). IGI Global.
Sfenrianto, S., Tantrisna, E., Akbar, H., & Wahyudi, M. (2018). E-learning effectiveness analysis in developing countries: East nusa tenggara, Indonesia perspective. Bulletin of Electrical Engineering and Informatics, 7(3), 417-424.
Shireesha, M., & Jeevan, J. (2024). The Role of Artificial Intelligence in Personalized Learning: A Pathway to Inclusive Education. Library of Progress-Library Science, Information Technology & Computer, 44(3).
Shivshankar, S., & Acharya, N. (2025). AI in assessment and feedback. In Next-generation AI methodologies in education (pp. 119-146). IGI Global Scientific Publishing.
Siemens, G. (2005). Connectivism: Learning as network-creation. ASTD Learning News, 10(1), 1-28.
Subekti, R. L., Herdian, H., & Nuryana, Z. (2024). How to Promote Honest Learning Outcomes in Online Education: Understanding Achievement Goal Orientation and Self-Efficacy. Electronic Journal of Research in Education Psychology, 22(63), 267-292.
Sukma, S., Juniati, J., Nirmayanti, N., & Bismawati, A. (2024, May). The Impementation of Affective Assesment on Indonesian Language Learning based on the Students’ Character Education. In 4th International Conference on Linguistics and Culture (ICLC-4 2023) (pp. 87-92). Atlantis Press.
Sundari, M. S., Penthala, H. R., & Nayyar, A. (2024). Transforming Education through AI-Enhanced Content Creation and Personalized Learning Experiences. In Impact of Artificial Intelligence on Society (pp. 98-118). Chapman and Hall/CRC.
Tiwari, S. (2021, July 28). World Bank Indonesia digital report presentation. World Bank. https://thedocs.worldbank.org/en/doc/314f6ce40311342e43840f037fb15d10-0070012021/
Van Laar, E., Van Deursen, A. J., Van Dijk, J. A., & De Haan, J. (2017). The relation between 21st-century skills and digital skills: A systematic literature review. Computers in human behavior, 72, 577-588.
Villarino, R. T. (2025). Artificial Intelligence (AI) integration in Rural Philippine Higher Education: Perspectives, challenges, and ethical considerations. IJERI: International Journal of Educational Research and Innovation, (23).
Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard university press.
Ward, B., Bhati, D., Neha, F., & Guercio, A. (2025, January). Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance. In 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 00434-00440). IEEE.
Wilson, L. O. (2016). Anderson and Krathwohl Bloom’s taxonomy revised understanding the new version of Bloom’s taxonomy. The Second Principle, 1(1), 1-8.
World Bank. (2022). Digital teaching and learning: Knowledge pack. World Bank Group. https://documents1.worldbank.org/curated/en/099120304132286876/pdf/P17425202703c80400872f014bab55254c3.pdf