ARTIFICIAL INTELLIGENCE AND UNIVERSITY STUDENTS’ ACADEMIC STRESS: EVIDENCE FROM AMBROSE ALLI UNIVERSITY, EKPOMA

Abstract

 This study investigated the influence of artificial intelligence (AI) on academic stress among Ambrose Alli University students in Nigeria. Three research questions and one null hypothesis guided this study. The study adopted descriptive and correlational research designs. The population consisted of all 400-level students in Faculty of Education. simple random sampling technique was used to select 280 students representing 20% of the total population. Two research instruments title: Artificial Intelligence Usage Questionnaire (AIUQ) and Academic Stress Questionnaire (ASQ) were used for the data collection. The face and content validation were employed while the split-half reliability method produce a reliability coefficient of .73 indicating acceptability of the instrument. Mean and standard deviation were used to answer the research questions while the Pearson’s Product Moment Correlation Coefficient was employed to test the hypothesis at 0.05 level of significance. Findings revealed that the level of AI usage among university students was high, the level of academic stress experienced by students was low and there was a significant moderate positive relationship between AI usage and academic stress among university students in the faculty of education Ambrose Alli University, Ekpoma. Based on the findings it was therefore recommended among others that universities should develop clear policies and training programmes on the responsible and ethical use of AI, strengthen the counseling and stress management services, and establish institutional mechanisms for monitoring AI usage while addressing the academic pressures associated with its adoption.