University students' perceptions on how generative artificial intelligence shape learning and research practices: A case study in Hong Kong
Renee Sze Kei Yeung, Ruwen Tian, Dickson K.W. Chiu, Samuel P. M. Choi
Abstract
The launch of chat-based Generative Artificial Intelligence (GenAI) in November 2022 has garnered significant attention and adoption across various sectors, particularly the academic community. Considering the potential transformative impact of GenAI on university students' learning and research practices, this research examines the patterns of use, perceived benefits, and drawbacks of GenAI among undergraduates and postgraduates at universities in Hong Kong . This research employs the 5E instructional model to systematically investigate the effectiveness of GenAI tools in supporting learning and research among local university students. The 170 valid responses revealed generally positive perceptions of the benefits of using GenAI in learning and research-related activities. However, they also acknowledged its potential drawbacks on ethical issues such as plagiarism and academic dishonesty . In addition, respondents agreed that GenAI could effectively support their learning and research activities despite concerns about potential skill deficits, such as diminished critical thinking and analytical abilities caused by the excessive use of GenAI. These findings highlight the increasingly critical role that academic communities like libraries could play in promoting ethical, effective, and literate use of GenAI technologies through targeted training, tool curation, and research support services.