Perceived Influence of Artificial Intelligence Usage on Students’ Academic Performance in Nnamdi Azikiwe University Awka, Anambra State

Authors

  • Chinweude Clara EFOBI Psychology Department, School of Education Federal College of Education (Technical), Umunze.
  • Amuche Uju EZINWA Department of Educational Foundations, Faculty of Education Nnamdi Azikiwe University, Awka, Anambra State
  • Nonye Pricila OGUEJIOFOR, Ph.D Psychology Department, School of Education Federal College of Education (Technical), Umunze
  • Chioma Modesta ORANETO, Ph.D Mathematics Department, School of Sciences Federal College of Education (Technical), Umunze

Keywords:

Academic performance, Artificial intelligence, Perceived influence, Student, Usage.

Abstract

The advancement of digital technologies has significantly transformed the landscape of higher
education worldwide. Artificial Intelligence (AI) has emerged as one of the most powerful
innovations in this regard, offering tools that can enhance learning, teaching, assessment, and student
support. In Nigeria, particularly in Anambra State, the integration and utilization of AI technology in
tertiary institutions remain relatively underexplored, despite its potential to improve students’
academic performance. This study examined the perceived influence of artificial intelligence
technology on students’ academic performance in Nnamdi Azikiwe University Awka, Anambra State.
Three research questions guided the study. The study adopted a descriptive survey design. The
population of the study consisted of 30,919 which includes all the 400 level students at Nnamdi
Azikiwe University Awka, Anambra state. The sample comprised 400 students obtained through
multi-stage sampling procedure using simple random sampling technique. An instrument titled
“Artificial Intelligence Usage and Academic Performance Questionnaire (AIUAPQ)” was used to
generate data. The instrument was validated and trial tested to determine the reliability coefficient
which gave 0.86 as the index. Data were analyzed using mean. Results revealed that AI usage among
students is moderate but uneven, with significant potential to enhance academic achievement if
institutional and infrastructural barriers are addressed. The findings underscored the need for targeted
institutional policies, capacity building, and digital infrastructure to support AI-driven education. It
was recommended among others that regular training workshops should be organized to enhance
students’ technical skills in AI usage and awareness programme should be carried out to sensitize
students on the academic benefits of AI technologies.

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Published

2026-01-12