Investigating the Factors Influencing Students’ Adoption of Generative AIs in Universities: A Case of the Copperbelt University

Abstract

Generative Artificial Intelligence technologies (GenAIs) have increasingly become essential components of students' learning practices in Universities, requiring an examination of the levels of acceptance and factors responsible for acceptance and usage. The study therefore investigated the levels of awareness and adoption and the factors influencing the adoption of Generative-AIs amongst University students, employing the Technology Acceptance Model (TAM) as a theoretical framework. Data from 285 students within the Copperbelt University at different levels of study was analyzed using SPSS. The instrument used in collecting the data was an online questionnaire. Results indicated there are high levels of awareness (88%) and adoption (82%) of GenAIs in learning by students in Universities and there was a relatively high usage frequency (51%). The research also revealed that Expected Benefits, Perceived Usefulness, Attitude Toward Technology, and Behavioral Intention all significantly impacted students’ adoption of Generative AI. This study underscores the need to promote a culture of adopting and integrating new promising innovations such ads GenAIs in Universities, and at the same time establish ethical guidelines to promote responsible GenAIs use within education. This research also contributes to the understanding of factors responsible for GenAI adoption in higher educational settings and helps inform strategies for equitable access and responsible innovation.