Investigating instructors’ and students’ perceived knowledge and attitudes in using generative AI tools for teaching and learning Article Swipe
Choon Lang Quek
,
Qiyun Wang
,
Arun Ramani
,
Yinghao Chen
,
Meng Xu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.14742/apubs.2024.1239
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.14742/apubs.2024.1239
This preliminary study surveys university instructors’ reported experiences of generative artificial intelligence (GenAI) knowledge and attitudes. The collective perceptual information from this study aims to provide the University with information on the type and level of support needed, from administrators to faculty members, in their teaching. Preliminary findings showed that in terms of knowledge of GenAI tools, most instructors perceived generally high mean scores of their readiness to use GenAI tools except for their low ability to use the GenAI tools. Although the instructors perceived the lowest threat of GenAI tools on their work, there are several teaching related and ethical concerns that were discussed in this paper. In terms of their attitudes towards GenAI tools, they perceived favourably the use of GenAI tools for their teaching.
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Investigating instructors’ and students’ perceived knowledge and attitudes in using generative AI tools for teaching and learningWork title
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articleOpenAlex work type
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2024Year of publication
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2024-11-09Full publication date if available
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Choon Lang Quek, Qiyun Wang, Arun Ramani, Yinghao Chen, Meng XuList of authors in order
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0Total citation count in OpenAlex
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