IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON TERTIARY EDUCATION IN JIGAWA STATE, NIGERIA

Abstract

The study examined the effect of AI on tertiary education in Jigawa State, looking based variables of education accessibility, personalized learning, teaching methods, research opportunities, skills development, administrative tasks and stakeholder engagement. The target population are teachers and students of Jigawa State, Nigeria tertiary institutions. A simple random sampling technique was applied to identify the research respondents. Likert scale questionnaire was used for data collection and analysed using ANOVA statistical tool using Python and presented in tables and graphs. All the null hypotheses were rejected based on the P-value being greater than 0.05, but the extent of the effect differs on the dependent variables. The study's major findings were that AI positively affects education accessibility, personalized learning, research opportunities, skills development, administrative tasks and stakeholder engagement. Ultimately, understanding these effects is crucial in navigating the future of tertiary education in Jigawa State. Moreover, implementing AI must be accompanied by evaluating its impacts, such as improving infrastructures to support these technologies effectively