Bridging the Digital Divide: Empowering Teachers with AI Tools in Rural Indonesian Schools

Authors

  • Afib Rulyansah Universitas Nahdlatul Ulama Surabaya, Indonesia https://orcid.org/0000-0003-2713-3770
  • Syamsul Ghufron Universitas Nahdlatul Ulama Surabaya, Indonesia
  • Akhwani Akhwani Universitas Nahdlatul Ulama Surabaya, Indonesia
  • Jauharotur Rihlah Universitas Nahdlatul Ulama Surabaya, Indonesia
  • Andini Hardiningrum Universitas Nahdlatul Ulama Surabaya, Indonesia
  • Mustofa Mustofa Universitas Nahdlatul Ulama Surabaya, Indonesia
  • Frysca Virnanda Retikasari Universitas Nahdlatul Ulama Surabaya, Indonesia

DOI:

https://doi.org/10.47679/ib.20251073

Keywords:

Artificial Intelligence, Primary Education, Teacher Empowerment, Personalized Learning, Rural Schools

Abstract

The integration of artificial intelligence (AI) in education has the potential to revolutionize teaching and learning, particularly in under-resourced areas. This community service project aimed to empower 20 primary school teachers in Kecamatan Yosowilangun, Lumajang, with the skills and knowledge to integrate AI tools into their instructional practices. Over a six-month period, the project provided a series of workshops, hands-on training, and ongoing support to enhance teachers’ digital literacy and confidence in using AI. The results demonstrated significant improvements in both teacher competency and student engagement. Post-training surveys revealed that teachers' confidence in using AI tools for classroom management, lesson planning, and grading increased from an average of 2.1 (pre-training) to 4.3 (post-training) on a five-point Likert scale. In-class observations indicated that AI-powered platforms such as Google AI and Scratch enhanced student motivation and personalized learning, leading to a 20% improvement in test scores. However, the project also identified challenges, including limited technological infrastructure, teacher resistance, and disparities in student access to devices. These findings underscore the need for continued professional development, investment in technology infrastructure, and policy support to ensure the sustainability of AI integration in education. This study contributes to the growing body of research on AI in education by providing insights into the practical implementation of AI tools in rural schools. The success of this project highlights the transformative potential of AI for improving educational equity and empowering teachers in under-resourced settings.

References

Ariani, D. P., & Sari, E. (2021). The Use of AI in Education: Enhancing Teachers’ Administrative Tasks. Journal of Educational Technology Research, 12(3), 45-60.

Baker, R. S., Corbett, A. T., & Koedinger, K. R. (2020). Toward more robust models of student learning and engagement. Educational Psychology Review, 32(2), 1-24.

Cohen, J., Schneider, L., & Moskowitz, H. (2021). Using Scratch and AI tools to improve computational thinking in elementary education. Computers & Education, 152, 104357.

Farida, A., Sukmawati, D., & Rahman, A. (2022). AI Integration in Rural Education: A Case Study in Indonesian Primary Schools. Educational Research and Reviews, 14(2), 87-101.

Greene, J. A., Seung, A., & Reisman, S. (2023). Teacher empowerment and digital literacy: A framework for educational technology integration. Journal of Teacher Education and Development, 29(1), 75-92.

Halim, R., Munir, A., & Nugraha, Y. (2023). Challenges in Implementing AI in Rural Schools: Perspectives from Indonesian Teachers. Technology and Learning, 41(3), 89-105.

Hartono, T., & Setyawan, F. (2023). Teacher Resistance to AI in Education: Understanding the Concerns. Educational Policy Research, 15(1), 42-59.

He, X., Ma, C., & Wei, Z. (2021). AI in Education: Benefits, Challenges, and Strategies for Successful Implementation. Journal of Artificial Intelligence in Education, 29(4), 21-33.

Hidayat, F., Kurniawan, A., & Wulandari, S. (2021). Ethical considerations in the use of AI in education: A guide for teachers. Journal of Educational Ethics, 9(2), 111-125.

Jiang, X., & Wang, Y. (2021). The Impact of AI-Powered Learning Systems on Student Performance. Computers & Education, 160, 104036.

Kulik, J. A., & Fletcher, J. D. (2021). Effectiveness of AI in personalized learning: A meta-analysis. Journal of Educational Psychology, 113(6), 1025-1040.

Kurniawati, A., & Sari, N. (2023). AI in the Classroom: Exploring Teacher and Student Interactions. Computers in Human Behavior, 128, 107135.

Luckin, R., Holmes, W., & Griffiths, M. (2020). Artificial intelligence and the future of teaching and learning. Learning, Media and Technology, 45(2), 95-108.

Nugraha, R., Hasanah, A., & Yusuf, A. (2023). Addressing the Digital Divide: AI-Powered Educational Technologies in Rural Schools. International Journal of Educational Technology, 30(1), 18-31.

Purnamasari, A., & Kusnadi, A. (2021). Promoting digital literacy in Indonesian schools: A policy review. Educational Policy and Reform, 19(2), 42-60.

Rahman, I., Prasetyo, A., & Hidayati, D. (2022). Improving student engagement through AI-driven adaptive learning platforms. Journal of Educational Technology and Innovation, 17(3), 120-135.

Rahmawati, T., & Setiawan, Y. (2023). Evaluating AI Tools in Classroom Instruction: Perspectives from Primary School Teachers. Journal of Educational Practice, 32(2), 76-92.

Rachmawati, L., Sumarno, A., & Sari, T. (2022). Teacher Training for AI Integration in Rural Schools: A Case Study. Journal of Teacher Education and Training, 25(4), 89-106.

Rini, S., & Alifah, S. (2022). The Use of IBM Watson Tutor in Personalized Learning. International Journal of Advanced Learning Technologies, 13(4), 209-225.

Sani, Y., Rahim, N., & Darmawan, I. (2022). Digital literacy and AI integration in primary schools: A rural perspective. Journal of Education and Digital Transformation, 28(3), 123-145.

Santoso, H., Kurniawan, A., & Rachmat, F. (2021). Understanding Teachers’ Digital Literacy in Rural Schools: The Role of AI Tools. Journal of Educational Development, 35(1), 99-115.

Sukmawati, S., & Alamsyah, D. (2022). Improving teacher digital literacy through AI-focused professional development. Journal of Teacher Education and Practice, 24(2), 56-71.

Suharto, H., & Hidayah, R. (2023). Sustainability of AI in education: Challenges and opportunities in rural areas. Journal of Educational Policy and Innovation, 16(3), 112-129.

Sun, Y., Zhang, H., & Xu, W. (2020). AI-powered personalized learning and its impact on elementary school students. Journal of Artificial Intelligence in Education, 28(4), 102-117.

Suryanto, T., & Azizah, R. (2023). Overcoming Barriers to AI Adoption in Primary Education: The Role of Teacher Professional Development. Journal of Educational Practice and Technology, 22(2), 91-105.

Teguh, A., Subagio, E., & Widodo, S. (2021). Hands-On Training for AI Integration in Primary Education. Journal of Digital Literacy and Technology Integration, 10(4), 55-72.

Wang, Q., & Ng, P. (2022). The Role of Adaptive AI Systems in Enhancing Classroom Learning. Journal of Educational Technology Research and Development, 70(2), 253-273.

Wibowo, I., Ningsih, D., & Putri, A. (2020). Teacher resistance to AI in education: A multi-case study. Journal of Educational Leadership, 18(3), 60-78.

Widiastuti, L., Anggraeni, E., & Kurniawan, F. (2022). Addressing Disparities in Student Access to AI-Driven Educational Technologies. Journal of Learning Sciences, 15(1), 23-40.

Yulianti, S., Munawaroh, H., & Sutrisno, D. (2022). Peer Collaboration in AI Integration: A Study of Teacher Communities. Journal of Education and Digital Collaboration, 18(4), 72-91.

Zhu, X., Li, H., & Chen, J. (2023). Teacher Collaboration and Professional Growth in the Era of AI. Journal of Professional Development in Education, 37(1), 41-60

Downloads

Published

2025-03-25

How to Cite

Rulyansah, A., Ghufron, S., Akhwani, A., Rihlah, J., Hardiningrum, A., Mustofa, M., & Retikasari, F. V. (2025). Bridging the Digital Divide: Empowering Teachers with AI Tools in Rural Indonesian Schools. Indonesia Berdaya, 6(2), 459–470. https://doi.org/10.47679/ib.20251073

Issue

Vol. 6 No. 2 (2025)

Section

Articles

Citation Check

License

Copyright and License Agreement

In submitting the manuscript to the journal, the authors certify that:

  • They are authorized by their co-authors to enter into these arrangements.
  • The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal. Please also carefully read BIB's Posting Your Article Policy at https://www.ukinstitute.org/journals/ib/about/editorialPolicies#custom-3
  • That it is not under consideration for publication elsewhere,
  • That its publication has been approved by all the author(s) and by the responsible authorities tacitly or explicitly of the institutes where the work has been carried out.
  • They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
  • They agree to the following license and copyright agreement.

Copyright

Authors who publish with Journal of Indonesia Berdaya agrees to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. 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 acknowledgment of its initial publication in this journal.
  3. 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.

Licensing for Data Publication

Journal of Indonesia Berdaya use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:

Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.

 

Creative Commons License
Journal of Indonesia Berdaya is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.