Artificial Intelligence Readiness in Educational Management
DOI:
https://doi.org/10.66931/jmpi.v2i01.393Keywords:
AI Readiness, Educational Management, Digital Leadership, Organizational Readiness, Digital TransformationAbstract
The development of Artificial Intelligence (AI) has driven significant transformation in educational systems, particularly in educational management, which requires organizational readiness and adaptive leadership to respond to digital change. However, the implementation of AI in Indonesia still faces several challenges, including low levels of digital literacy, limited technological infrastructure, and the lack of optimal leadership strategies in education. This study aims to analyze the level of AI Readiness in educational management and to examine leadership strategies and organizational readiness of schools in responding to AI-based educational transformation. This research employs a Systematic Literature Review (SLR) approach by analyzing relevant scholarly literature from reputable international journals and credible academic sources. The findings indicate that organizational readiness is influenced by several key factors, including human resource competencies, technological infrastructure, digital leadership, organizational culture, and policy support. In addition, digital leadership plays a crucial role in fostering innovation and strengthening sustainable organizational readiness. This study contributes by proposing an integrative conceptual model that combines AI Readiness, Digital Leadership, and Organizational Readiness as a strategic framework for developing AI-based educational management. The findings are expected to provide valuable insights for policymakers and educational practitioners in designing more adaptive and sustainable digital transformation strategies in Indonesia.
References
Alam, A. (2021). Possibilities and apprehensions in the landscape of artificial intelligence in education. 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 1–8. https://doi.org/10.1109/ICCICA52458.2021.9697272
Alsheibani, S., Cheung, Y., & Messom, C. (2018). Artificial intelligence adoption: AI-readiness at firm-level. Pacific Asia Conference on Information Systems 2018, 37.
Ben Youssef, A., Boubaker, S., Dedaj, B., & Carabregu-Vokshi, M. (2021). Digitalization of the economy and entrepreneurship intention. Technological Forecasting and Social Change, 164, 120043. https://doi.org/https://doi.org/10.1016/j.techfore.2020.120043
Bond, M., Bedenlier, S., Marín, V. I., & Händel, M. (2021). Emergency remote teaching in higher education: Mapping the first global online semester. International Journal of Educational Technology in Higher Education, 18(1), 50. https://doi.org/10.1186/s41239-021-00282-x
Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. https://doi.org/10.118346/dfgd/456754
Chatterjee, A., Banerjee, S., & Sengupta, A. (2023). Developing an integrated ESG framework for education institutions. Asian Journal of Sustainability and Social Responsibility, 8(1). https://consensus.app/papers/developing-integrated-esg-framework-education
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1–22. https://doi.org/10.1186/s41239-023-00392-8
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., & Eirug, A. (2021). & Williams, MD (2021). Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 57(101994), 1–47. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
George, G., Haas, M. R., & Pentland, A. (2014). Big data and management. In Academy of management Journal (Vol. 57, Issue 2, pp. 321–326). Academy of Management Briarcliff Manor, NY. https://doi.org/10.5465/amj.2014.4002
Haenlein, M., & Kaplan, A. (2021). Artificial intelligence and robotics: Shaking up the business world and society at large. Journal of Business Research, 124, 405–407. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.10.042
Holmes, W. (2020). Artificial intelligence in education. In Encyclopedia of education and information technologies (pp. 88–103). Springer. https://doi.org/10.1007/978-3-030-10576-1_107
Https://www.oecd.org/. (2021). Artificial intelligence and education and skills. https://www.oecd.org/en/topics/artificial-intelligence-and-education-and-skills.html
Huda, N. (2022). Sistem administrasi pendidikan dalam meningkatkan mutu pendidikan. AKSI: Jurnal Manajemen Pendidikan Islam, 1 (1), 16–31. https://doi.org/10.37348/aksi.v1i1.197
Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review.
Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering–a systematic literature review. Information and Software Technology, 51(1), 7–15. https://doi.org/10.1016/j.infsof.2008.09.009
Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage publications. https://doi.org/10.4135/9781071878781
Nasir, M., & Luwihta, A. D. (2025). Efektivitas Penerapan Balanced Scorecard Dalam Evaluasi Strategis Pendidikan Islam. CENDEKIA: Jurnal Studi Keislaman, 11(2), 515–529. https://doi.org/10.37348/cendekia.v11i2.805
OECD. (2021). Pushing the frontiers with AI, blockchain, and robots. https://www.oecd.org/en/publications/oecd-digital-education-outlook-2021_589b283f-en.html
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., & Brennan, S. E. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Bmj, 372. https://doi.org/10.1136/bmj.n71
Paul, J., & Criado, A. R. (2020). The art of writing literature review: what do we know and what do we need to know? International Business Review, 29(4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717
Rifah, R., Jailani, M., & Huda, M. (2024). Artificial Intelligence (AI): An opportunity and challenge for achieving success in Islamic education in the era of digital transformation. Suhuf: International Journal of Islamic Studies, 36(2). https://doi.org/10.23917/suhuf.v36i2.6273
Selwyn, N. (2024). Digital degrowth: Toward radically sustainable education technology. Learning, Media and Technology, 49(2), 186–199. https://doi.org/10.1080/17439884.2022.2159978
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
UNESCO. (2021). Artificial intelligence in education. https://www.unesco.org/en/digital-education/artificial-intelligence
Vakola, M. (2014). What’s in there for me? Individual readiness to change and the perceived impact of organizational change. Leadership & Organization Development Journal, 35(3), 195–209. https://doi.org/10.1108/LODJ-05-2012-0064
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Wang, C., Zhang, M., Sesunan, A., & Yolanda, L. (2023). Peran Tknologi dalam Transformasi Pendidikan Indonesia. Oliver Wyman, 1–86. https://static.skm.kemdikbud.go.id/announcements/28942fb9-334d-4fb5-9ce2-56f7ddce4d48-Indonesias-K-12-Education-Quality-Improvement-Bahasa-05122023.pdf
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