THE USE OF ARTIFICIAL INTELLIGENCE ALGORITHMS TO ASSESS THE MANAGERIAL EFFECTIVENESS OF EDUCATIONAL ORGANIZATIONS
DOI:
https://doi.org/10.5281/zenodo.19563163Keywords:
artificial intelligence, educational management, performance evaluation, machine learning, decision-making.Abstract
The rapid digital transformation of education systems has increased the demand for effective management evaluation tools. Traditional assessment methods often lack objectivity, scalability, and predictive capacity. This study explores the application of artificial intelligence (AI) algorithms in evaluating managerial effectiveness within educational organizations. The paper proposes a model integrating machine learning techniques for performance analysis, decision-making support, and predictive evaluation. The results demonstrate that AI-based approaches significantly enhance the accuracy and transparency of management assessment.
References
Gardner J., O’Leary M., Yuan L. (2021). Artificial intelligence in educational assessment: ‘Breakthrough? Or buncombe and ballyhoo?’ // Journal of Computer Assisted Learning. – 2021. – No.37(5). – P.1207–1216. https://doi.org/10.1111/jcal.12577.
Adamakis M., Rachiotis T. Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration // Encyclopedia. – 2025. – No.5. – P.180. https://doi.org/10.3390/encyclopedia5040180.
Madwe M.C., Chonco C., Zungu A. (2025). Artificial Intelligence in Higher Education Assessment: Opportunities, Challenges and Pedagogical Considerations // International Journal of Applied Research in Business and Management. – 2025. – No.6(2).
https://doi.org/10.51137/wrp.ijarbm.2025.mmaa.45846.
Zhao J., Chapman E., Ghassemi Pour Sabet P. Generative AI and Educational Assessments: A Systematic Review // Education Research & Perspectives. – 2024. – No.51. – P.124-155. https://doi.org/10.70953/ERPv51.2412006.
Corbin T., Dawson P., Nicola-Richmond K., Partridge H. ‘Where’s the line? It’s an absurd line’: towards a framework for acceptable uses of AI in assessment // Assessment & Evaluation in Higher Education. – 2025. – No.50(5). – P.705-717. https://doi.org/10.1080/02602938.2025.2456207.
