most citedStudents' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education

104 citations · 237 across the 4 of their papers we have counts for

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cs.CY202329 cited

Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism'

Cecilia Ka Yuk Chan

This pioneering study explores students' perceptions of AI-giarism, an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. A surv…

cs.CY202332 cited

The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and Millennial Generation teachers?

Cecilia Ka Yuk Chan, Katherine K. W. Lee

This study aimed to explore the experiences, perceptions, knowledge, concerns, and intentions of Gen Z students with Gen X and Gen Y teachers regarding the use of generative AI (Ge…

cs.CY2023

Deconstructing Student Perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument

Cecilia Ka Yuk Chan, Wenxin Zhou

This study examines the relationship between student perceptions and their intention to use generative AI in higher education. Drawing on Expectancy-Value Theory (EVT), a questionn…

cs.CY2023

The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education?

Cecilia Ka Yuk Chan, Louisa H. Y. Tsi

This paper explores the potential of artificial intelligence (AI) in higher education, specifically its capacity to replace or assist human teachers. By reviewing relevant literatu…

cs.CY2023104 cited

Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education

Cecilia Ka Yuk Chan, Wenjie Hu

This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to enga…

cs.CY202372 cited

A Comprehensive AI Policy Education Framework for University Teaching and Learning

Cecilia Ka Yuk Chan

This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI technologies. Data was collected from 457…