International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Artificial Intelligence as a Predictor of Effective Student Personnel Management in Secondary Schools: Evidence from Abia State, Nigeria

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Volume: 6 | Issue: 3 | Pages: 1933-1938

Subject: Educational Management

Country: Nigeria

License: CC BY 4.0

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Abstract

The integration of Artificial Intelligence (AI) tools offers innovative approaches to addressing challenges in education, particularly in enhancing student personnel management for improved achievement of educational goals. This study explored AI as a predictor of effective student personnel management in secondary schools in Abia State, Nigeria. Employing a survey research design, the study covered the three education zones in the state: Aba, Ohafia, and Umuahia. The target population consisted of 253 public secondary schools and their principals. Through stratified and purposive sampling techniques, 124 schools and principals were selected. Data were gathered using a researcher-designed instrument titled Artificial Intelligence and Student’s Personnel Management Questionnaire (AISPMQ), based on a modified 4-point Likert scale (Strongly Agree to Strongly Disagree). To ensure the instrument’s validity, it was reviewed by three experts—one in Educational Management and two in Measurement and Evaluation at Nnamdi Azikiwe University, Awka. The reliability coefficient ranged from 0.89 to 0.91. Data analysis involved testing null hypotheses using Simple Linear Regression at a 0.05 significance level. Findings showed that AI significantly influences student personnel management, improving resource allocation, data handling, and decision-making processes. This enables school principals to make informed, data-driven decisions, thereby enhancing administrative responsiveness and effectiveness. The study concludes that AI is a strong predictor of effective student personnel management and highlights the need for its adoption in school administration. It recommends that the Abia State Ministry of Education should promote AI integration through leadership training and infrastructure support. Future research should focus on comparative studies across public and private schools in multiple states to examine variations in AI adoption and effectiveness in student personnel management. 

How to Cite This Article

Blessing Edet Isong, Sackey Awele Blessing, Nyong, Prince Inyang (2025). Artificial Intelligence as a Predictor of Effective Student Personnel Management in Secondary Schools: Evidence from Abia State, Nigeria . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(3), 1933-1938.

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Publication Information

Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: 2582-7138 (Online)

Frequency: Bimonthly

Language: English

Open Access: Yes - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

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