Zobrazeno 1 - 10
of 1 573
pro vyhledávání: '"Chan Cecilia"'
Autor:
Chan, Cecilia Ka Yuk
This study explores the phenomenon of "AI guilt" among secondary school students, a form of moral discomfort arising from the use of AI tools in academic tasks traditionally performed by humans. Through qualitative methodologies, the research examine
Externí odkaz:
http://arxiv.org/abs/2407.10777
Publikováno v:
Education + Training, 2024, Vol. 66, Issue 4, pp. 395-407.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ET-06-2023-0252
Autor:
Chan, Cecilia Ka Yuk
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 survey, undertaken by 393 undergraduate and postgraduate students from a v
Externí odkaz:
http://arxiv.org/abs/2306.03358
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 (GenAI) in higher education. A sample of students and teachers were recru
Externí odkaz:
http://arxiv.org/abs/2305.02878
Autor:
Chan, Cecilia Ka Yuk, Zhou, Wenxin
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 questionnaire was developed to measure students' knowledge of generative AI, pe
Externí odkaz:
http://arxiv.org/abs/2305.01186
This paper explores the potential of artificial intelligence (AI) in higher education, specifically its capacity to replace or assist human teachers. By reviewing relevant literature and analysing survey data from students and teachers, the study pro
Externí odkaz:
http://arxiv.org/abs/2305.01185
Autor:
Chan, Cecilia Ka Yuk, Hu, Wenjie
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 su
Externí odkaz:
http://arxiv.org/abs/2305.00290
Autor:
Chan, Cecilia Ka Yuk
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 students and 180 teachers and staff across various disciplines in Hon
Externí odkaz:
http://arxiv.org/abs/2305.00280
Autor:
Lee, Geok Ling, author, Wan Chan, Cecilia Lai, author
Publikováno v:
Oncology and Palliative Social Work : Psychosocial Care for People Coping with Cancer, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197607299.003.0028