Diffusion of Disruptive Innovation in Islamic Primary Education: Implementation of Smart Teacher AI for Digital Competence Development

Erwin Novriyanto; Soewarto  Hardhienata

doi:10.59175/pijed.v4i2.658

Authors

Erwin Novriyanto Universitas Pakuan Bogor, West Java, Indonesia
Soewarto Hardhienata Universitas Pakuan Bogor, West Java, Indonesia

DOI:

https://doi.org/10.59175/pijed.v4i2.658

Keywords:

AI in Education, Digital Competence, Diffusion of Innovation, Disruptive Innovation, Islamic Primary Education

Abstract

This study explores the diffusion of disruptive innovation in Islamic primary education through the implementation of Smart Teacher AI, an AI-driven professional learning platform designed to strengthen teachers’ digital competence. The research employs a Research and Development (R&D) approach based on Borg and Gall’s model, focusing on the implementation phase of Smart Teacher AI in SD Islam Al Ittihad, Cibubur. Data were collected from 25 teachers using observation sheets, digital competence rubrics, focus group discussions, and system usage analytics. The findings reveal that the implementation of Smart Teacher AI aligns with Rogers’ diffusion of innovation framework, showing gradual adoption from innovators to early and late adopters. The platform significantly improves teachers’ digital skills in lesson planning, designing interactive learning media, and evaluating digital learning outcomes. The novelty of this study lies in integrating AI-assisted professional learning within the framework of Islamic values, bridging the gap between technological disruption and faith-based education. The results contribute to both theoretical and practical insights on innovation diffusion in education, emphasizing that digital transformation in Islamic schools requires not only technology readiness but also value-driven leadership and sustainable pedagogical adaptation.

References

Abdullah, M., & Ibrahim, N. (2021). Integrating Islamic values in educational leadership: A framework for sustainable school management. International Journal of Islamic Educational Studies, 9(2), 45–58. https://doi.org/10.14421/ijies.2021.92.45

Adams, R., & Sasse, M. (2020). Disruptive innovation in education: A critical review of AI-driven learning systems. Journal of Educational Technology Research and Development, 68(5), 2275–2290. https://doi.org/10.1007/s11423-020-09784-3

Ain, N., Kaur, K., & Waheed, M. (2016). The influence of learning value on learning management system use: An extension of UTAUT2. Information Development, 32(5), 1306–1321. https://doi.org/10.1177/0266666915597546

Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2020). Technology acceptance model in M-learning context: A systematic review. Computers & Education, 144, 103701. https://doi.org/10.1016/j.compedu.2019.103701

Bower, M. (2019). Technology-mediated learning theory. British Journal of Educational Technology, 50(3), 1035–1048. https://doi.org/10.1111/bjet.12771

Darling-Hammond, L., & Hyler, M. E. (2020). Preparing educators for the time of AI: A framework for teacher learning. European Journal of Education, 55(4), 543–562. https://doi.org/10.1111/ejed.12426

Ferrari, A. (2013). DIGCOMP: A framework for developing and understanding digital competence in Europe. Educational Research Review, 9(1), 1–17. https://doi.org/10.1016/j.edurev.2013.05.002

Fullan, M., & Langworthy, M. (2014). A rich seam: How new pedagogies find deep learning. Technology, Pedagogy and Education, 23(3), 257–277. https://doi.org/10.1080/1475939X.2014.915318

Hidayat, N., & Suhardi, E. (2023). Developing a sustainable Islamic education model through community empowerment and strategic management. Jurnal Pendidikan Islam Indonesia, 8(1), 72–88. https://doi.org/10.15575/jpii.v8i1.2736

Kaur, G., & Singh, S. (2021). Artificial intelligence in education: Opportunities and challenges for developing nations. Education and Information Technologies, 26(6), 7565–7584. https://doi.org/10.1007/s10639-021-10672-9

Liu, D., & Huang, R. (2020). Disruptive innovation in digital learning: A systematic review and implications. Educational Technology & Society, 23(4), 59–75. https://doi.org/10.30191/edtechsoc.2020.23.4.59

Nugroho, Y., & Widodo, W. (2022). Community-based education management and its impact on institutional sustainability. Al-Ta’dib: Journal of Islamic Education, 15(1), 87–104. https://doi.org/10.31332/altadib.v15i1.2895

OECD. (2021). AI and the future of education: Policy implications for teachers and learning. OECD Education Working Papers, 242. https://doi.org/10.1787/22287123

Rahman, F., & Yusuf, M. (2020). The role of value-based leadership in enhancing school performance in Islamic institutions. Journal of Educational Management and Leadership, 8(3), 115–129. https://doi.org/10.5430/jeml.v8n3p115

Rashid, T., & Asghar, H. M. (2016). Technology use, self-directed learning, student engagement, and academic performance: Examining the interrelations. Computers in Human Behavior, 63, 604–612. https://doi.org/10.1016/j.chb.2016.05.084

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Rohman, A., & Lestari, S. (2023). Strategic planning and Islamic leadership synergy in school governance. Jurnal Kepemimpinan Pendidikan Islam, 11(1), 33–49. https://doi.org/10.24252/jkpi.v11i1.3271

Saepudin, A., & Hidayat, R. (2021). Strategic decision making in Islamic schools: A study of stakeholder participation and intuition. Tarbawi: Journal of Islamic Education Management, 7(2), 101–118. https://doi.org/10.15575/tarbawi.v7i2.1820

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. British Journal of Educational Technology, 50(6), 1413–1424. https://doi.org/10.1111/bjet.12805

Spector, J. M. (2022). Reflections on the role of artificial intelligence in education. Educational Technology Research and Development, 70(3), 957–962. https://doi.org/10.1007/s11423-022-10120-9

Suh, J., & Lee, S. (2020). Factors affecting teachers’ intention to adopt AI-based education tools. International Journal of Educational Technology in Higher Education, 17(1), 1–15. https://doi.org/10.1186/s41239-020-00191-2

UNESCO. (2022). Reimagining our futures together: A new social contract for education. International Review of Education, 68(2), 233–251. https://doi.org/10.1007/s11159-022-09920-3

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x

Wang, Y., & Cheng, Z. (2021). Exploring the role of artificial intelligence in developing teacher digital competence. Computers & Education, 167, 104185. https://doi.org/10.1016/j.compedu.2021.104185

Zawacki-Richter, O., & Latchem, C. (2018). Exploring four decades of research in Computers & Education. Computers & Education, 122, 136–152. https://doi.org/10.1016/j.compedu.2018.03.010

Zhu, X., & He, J. (2022). Innovation diffusion in educational technology: A meta-analysis. Educational Technology Research and Development, 70(5), 2451–2475. https://doi.org/10.1007/s11423-022-10189-2