DEVELOPING AN IMPLEMENTATION FRAMEWORK FOR INSTITUTIONALIZING ARTIFICIAL INTELLIGENCE IN EDUCATIONAL ADMINISTRATION IN NIGERIA UNIVERSITIES

Authors

  • Dr. Oruonyeije Appolonia Ahunna. Department of Educational Foundation Ebonyi State College of Education
  • Dr. Mariagoretti Ijeoma Obiakor Department of Educational Management and Policy, Faculty of Education Nnamdi Azikiwe University, Awka Anambra State

Keywords:

Artificial Intelligence (AI), Educational Administration, Implementation Framework, Nigerian Universities and Institutionalization

Abstract

This study presents a strategic framework for institutionalizing Artificial Intelligence (AI) in the educational administration of Nigerian universities. As global higher education systems increasingly adopt AI to enhance operational efficiency, Nigerian universities face the imperative to modernize their administrative processes. The research identifies key challenges such as bureaucratic inefficiencies, data management limitations, and inadequate decision-making tools that hinder effective governance. To address these issues, the study proposes a multi-phase implementation framework encompassing assessment, design, capacity building, policy development, and pilot testing. The framework emphasizes the importance of technological infrastructure, human capital development, and stakeholder engagement. It advocates for the integration of AI tools such as intelligent scheduling systems, predictive analytics, and automated workflows to streamline administrative functions. Additionally, it highlights the need for ethical guidelines and data governance policies to ensure responsible AI use. Through a combination of literature review, expert consultations, and contextual analysis, the study outlines practical steps for deploying AI in university administration. Anticipated benefits include improved decision-making, enhanced student services, operational transparency, and cost-effectiveness. The framework also addresses potential barriers such as resistance to change, digital divide, and ethical concerns, offering mitigation strategies to ensure successful adoption. Ultimately, the study concludes that institutionalizing AI in Nigerian university administration is both feasible and necessary for achieving a more responsive, data-driven, and future-ready higher education system. The proposed framework serves as a roadmap for policymakers, university leaders, and technology stakeholders committed to transforming educational governance through AI innovation.

Downloads

Published

2025-11-08

Issue

Section

Articles

How to Cite

DEVELOPING AN IMPLEMENTATION FRAMEWORK FOR INSTITUTIONALIZING ARTIFICIAL INTELLIGENCE IN EDUCATIONAL ADMINISTRATION IN NIGERIA UNIVERSITIES. (2025). International Nexus Multidisciplinary Research Journal, 2(1), 38-56. https://inmrj.org/index.php/nexus/article/view/64

Most read articles by the same author(s)