Generative AI Technologies Use Among Higher Education Students in Saudi Arabia: Benefits and Concerns

Abstract

This study investigates the use of generative AI technologies among higher education students in Saudi Arabia, focusing on perceived benefits and concerns. As these technologies rapidly integrate into academic environments, understanding their impact becomes crucial for effective implementation and policy development. The research aims to identify specific benefits in terms of time savings, unique insights, and personalised feedback, while also examining concerns regarding overreliance, data privacy, and information accuracy. Employing a quantitative approach, the study utilised a closed-questions survey distributed to 150 higher education students in Saudi Arabia. The survey gathered data on students' perceptions and usage patterns of generative AI technologies, which were then analysed using descriptive and inferential statistical methods.

Findings reveal a nuanced landscape of student attitudes. Students perceive significant benefits from generative AI, with time savings emerging as the most appreciated advantage, followed by gaining unique insights and receiving personalised feedback. Concurrently, moderate levels of concern were identified, primarily regarding the accuracy of AI-generated content and potential overreliance on these technologies. Interestingly, data privacy concerns were less pronounced than anticipated.

The study concludes that while students recognise the transformative potential of generative AI in enhancing learning experiences, they remain cautious about its limitations. These findings contribute to the understanding of AI integration in Saudi higher education and offer valuable insights for developing balanced, ethical, and effective AI integration strategies. The research underscores the need for ongoing dialogue, policy development, and further investigation to ensure that the integration of generative AI aligns with educational goals and societal values in Saudi Arabia.