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Unveiling Students’ Experiences and Perceptions of Artificial Intelligence Usage in Higher Education

Xue Zhou, Joanne Zhang, Ching Chan

2024Journal of University Teaching and Learning Practice86 citationsDOIOpen Access PDF

Abstract

This study explores the utilization and perception of Artificial Intelligence (AI) tools among students in higher education. With the growing accessibility of AI technologies, their integration into educational settings presents a new frontier for enhancing learning experiences. This research adopts a mixed-methods approach, including surveys and interviews, to delve into how students employ AI tools and their perceived benefits and drawbacks of AI usage in the context of entrepreneurship education in a business school. The findings reveal a diverse range of AI applications, highlighting benefits such as increased productivity, personalized learning, and enhanced linguistic capability. However, concerns regarding academic integrity, over-reliance on AI, and the need for clear usage guidelines are also identified. This study contributes to the understanding of AI's role in higher education and provides much-needed empirical evidence of AI usage from students’ perspectives. Our findings underscore the importance of balanced, informed, and ethical use of AI tools in higher education.

Topics & Concepts

PerceptionPsychologyMathematics educationArtificial intelligenceHigher educationComputer sciencePolitical scienceLawNeuroscienceOnline Learning and Analytics