Leveraging Data and Artificial Intelligence for Innovative Educational Management Practices
DOI:
https://doi.org/10.54066/ijmre-itb.v2i2.1788Keywords:
Educational Management, Artificial Intelligence (AI), Mixed-Methods Approach, Infrastructure Challenges, Human-Technology InteractionAbstract
This study explores the impact and implementation of data and artificial intelligence (AI) in educational management through a mixed-methods approach, combining quantitative and qualitative analyses. The quantitative phase involved surveying teachers, administrators, and students from the Yappi Makassar School of Administrative Sciences to gauge the use and effectiveness of data and AI in educational management. The qualitative phase included in-depth interviews and focus group discussions with selected stakeholders to understand their experiences, perceptions, and challenges with integrating data and AI into educational management practices. Results indicate a general positivity towards the integration of data and AI, with 70% of educators and administrators reporting improved efficiency in curriculum development and administrative tasks. However, only 50% of students noted a significant enhancement in their learning experience. Key themes emerged from qualitative analysis, highlighting the acceptance and adaptation of technology, the barriers to full integration, such as infrastructure and resistance to change, and the critical balance between technology use and human interaction in learning. The study concludes that while data and AI hold substantial promise for revolutionizing educational management, significant challenges remain. Addressing these challenges requires investments in technology infrastructure, comprehensive training programs for staff, and pedagogical strategies that effectively integrate technology with human-centered teaching methods. The research underlines the need for further investigation into overcoming these barriers to maximize the benefits of data and AI in education.
References
Al-Swidi, A. K. (2021). The joint impact of green human resource management, leadership and organizational culture on employees’ green behaviour and organisational environmental performance. Journal of Cleaner Production, 316. https://doi.org/10.1016/j.jclepro.2021.128112
Babarinde, S. A., & O, O. Olubukunola. (2019). An Assessment of Total Quality Management in Nigerian Private Universities. International Journal of Innovative Research and Development, 8(8). https://doi.org/10.24940/ijird/2019/v8/i8/aug19062
Cheverda, S. S. (2022). FLEXIBLE METHODS OF COMPANY AUDIT PROJECT MANAGEMENT. Financial Strategies of Innovative Economic Development, 56(4), 26–30. https://doi.org/10.26661/2414-0287-2022-4-56-04
Čiutienė, R., Karpenko, A., Kholiavko, N., & Plynokos, D. (2022). Management of Innovative Business Development in the Zaporizhzhia Cluster EAM 4.0. Proceedings of the 5th International Scientific Congress Society of Ambient Intelligence. https://doi.org/10.5220/0011346500003350
Hoang, G. (2021). Empowering leadership in hospitality and tourism management: a systematic literature review. International Journal of Contemporary Hospitality Management, 33(12), 4182–4214. https://doi.org/10.1108/IJCHM-03-2021-0323
Karakose, T. (2021). Science mapping of the global knowledge base on management, leadership, and administration related to COVID-19 for promoting the sustainability of scientific research. Sustainability (Switzerland), 13(17). https://doi.org/10.3390/su13179631
Nsirim, H. U. (2018a). Assessment of Rivers State Waste Management Agency’s Communication Strategies for Waste Management in Port Harcourt Metropolis, Nigeria. International Journal of Innovative Research and Development, 7(10). https://doi.org/10.24940/ijird/2018/v7/i10/oct18027
Nsirim, H. U. (2018b). Assessment of Rivers State Waste Management Agency’s Communication Strategies for Waste Management in Port Harcourt Metropolis, Nigeria. International Journal of Innovative Research and Development, 7(10). https://doi.org/10.24940/ijird/2018/v7/i10/oct18027
Nsirim, H. U., Ochonogor, C. I., & Nwachukwu, F. G. (2018). Assessment of Rivers State Waste Management Agency’s Communication Strategies for Waste Management in Port Harcourt Metropolis, Nigeria. International Journal of Innovative Research and Development, 7(10). https://doi.org/10.24940/ijird/v7/i10/oct142595
Petruk, I. (2020). Conceptual approaches to crisis management of regional development. INNOVATIVE ECONOMY, 3, 105–112. https://doi.org/10.37332/2309-1533.2020.3-4.15
Pipinato, A. (2022). Bridge diagnostics, assessment, retrofit, and management. Innovative Bridge Design Handbook, 855–891. https://doi.org/10.1016/b978-0-12-823550-8.00026-3
Pysmak, V., Mazhnyk, L., & Sigaieva, T. (2021). Innovative development of the management potential at a modern enterprise. Economics of Development, 20(1), 46–55. https://doi.org/10.21511/ed.20(1).2021.05
Rizvi, Y. S. (2021). The simultaneous effect of green ability-motivation-opportunity and transformational leadership in environment management: the mediating role of green culture. Benchmarking, 28(3), 830–856. https://doi.org/10.1108/BIJ-08-2020-0400
Rodionov, A. V, Muzalev, S. V, Nabiyeva, A. R., Manyshin, D. M., & Melnik, M. V. (2020). 5 Economic Mechanisms of Innovative Development Management: Public-Private Partnership, Innovative Networks and Technological Parks. The Economic and Legal Foundations of Managing Innovative Development in Modern Economic Systems, 43–52. https://doi.org/10.1515/9783110643701-005
Shin, N. (2021). Supply chain leadership driven strategic resilience capabilities management: A leader-member exchange perspective. Journal of Business Research, 122, 1–13. https://doi.org/10.1016/j.jbusres.2020.08.056
Spolsky, B. (2021). The Individual in Language Policy and Management. Rethinking Language Policy, 9–15. https://doi.org/10.3366/edinburgh/9781474485463.003.0002
Baker, R.S., & Inventado, P.S. (2014). Educational Data Mining and Learning Analytics. In J.A. Larusson & B. White (Eds.), Learning Analytics: From Research to Practice. Springer.
Bulger, M. (2016). Personalized Learning: The Conversations We’re Not Having. Data & Society.
Hwang, G.J. (2015). Definition, framework and research issues of smart learning environments - a context-aware ubiquitous learning perspective. Smart Learning Environments
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L.B. (2016). Intelligence Unleashed: An argument for AI in Education. Pearson.
Reyes, V. (2015). Data Privacy in the Cloud. Navigating the New Privacy Regime in a World of Data Mining and the Internet of Things. Georgetown Law Journal.
Selwyn, N. (2016). Is technology good for education?. Polity.
Weller, M. (2018). Twenty Years of Edtech. EDUCAUSE Review.
Zawacki-Richter, O., Marín, V.I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education.
