Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education
Cecilia Ka Yuk Chan, Wenjie Hu

TL;DR
This study surveys university students' perceptions of generative AI in higher education, highlighting their positive attitudes, perceived benefits, and concerns to inform effective integration and policy development.
Contribution
It provides empirical insights into students' perceptions of GenAI, identifying key benefits and challenges to guide responsible implementation in higher education.
Findings
Students see potential for personalized learning and research support.
Concerns include accuracy, privacy, and ethical issues.
Perceptions influence learning approaches and outcomes.
Abstract
This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs' 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students' perceptions, educators and…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education
