Strategic Educational Leadership and Management Practices as Predictors of Institutional Effectiveness: A Framework for AI-Enabled Digital Transformation in Higher Education
DOI:
https://doi.org/10.67903/ijroms0562Keywords:
AI-Enabled Digital Transformation, Higher Education Institutions, Institutional Effectiveness, Management Practices, Predictive-Correlational ResearchAbstract
This study examined the predictive influence of strategic educational leadership and management practices on institutional effectiveness in selected higher education institutions and developed an artificial intelligence-enabled digital transformation framework based on the findings. Specifically, it assessed the levels of strategic educational leadership, management practices, and institutional effectiveness and determined whether leadership and management practices significantly predicted institutional effectiveness. A quantitative, non-experimental predictive-correlational research design was employed, involving 136 academic administrators selected through total enumeration. Data were collected using a validated and reliability-tested survey questionnaire and analyzed through weighted mean, standard deviation, and multiple linear regression at a 0.05 level of significance. The findings revealed high levels of strategic educational leadership (4.32), management practices (4.30), and institutional effectiveness (4.29). Regression analysis showed a strong predictive relationship, with a correlation coefficient of 0.870 and a coefficient of determination of 0.756, indicating that the independent variables explained 75.6% of the variance in institutional effectiveness. Both strategic educational leadership and management practices significantly and positively predicted institutional effectiveness, with regression coefficients of 0.431 and 0.440, respectively. The findings highlight the importance of effective leadership and sound management in improving institutional performance. The study concludes that strengthening these practices can enhance institutional effectiveness in higher education institutions. Based on the findings, an artificial intelligence-enabled digital transformation framework was developed to integrate strategic leadership, effective management, and artificial intelligence-driven innovations. The framework aims to support evidence-based decision-making, improve organizational processes, strengthen quality assurance, and promote continuous institutional improvement. Its implementation may help higher education institutions achieve sustainable effectiveness and respond to the evolving demands of digital education.
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Abad-Segura, E., González-Zamar, M.-D., Infante-Moro, J. C., & Ruipérez García, G. (2020). Sustainable management of digital transformation in higher education: Global research trends. Sustainability, 12(5), Article 2107. https://doi.org/10.3390/su12052107
Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21, Article 4. https://doi.org/10.1186/s41239-023-00436-z
Bryson, J. M. (2018). Strategic planning for public and nonprofit organizations: A guide to strengthening and sustaining organizational achievement (5th ed.). Wiley.
Bush, T. (2020). Theories of educational leadership and management.
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20, Article 22. https://doi.org/10.1186/s41239-023-00392-8
Fullan, M. (2020). Leading in a culture of change (2nd ed.). Jossey-Bass.
Hargreaves, A., & Fullan, M. (2020). Professional capital after the pandemic: Revisiting and revising classic understandings of teachers’ work. Journal of Professional Capital and Community, 5(3–4), 327–336.
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://doi.org/10.54675/EWZM9535
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, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0
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