Enhancing College Students’ AI Literacy through Human-AI Co-Creation: A Quantitative Study
Authors: 
Haitao Wen, Xinyu Lin, Rongkang Liu, Chang SuAuthors Info & Claims
Pages 123 - 129
Abstract
As artificial intelligence-generated content (AIGC) is widely used, the interaction model between humans and artificial intelligence (AI) is undergoing a fundamental shift from “use” to “co-creation”.It presents new challenges for the field of higher education, particularly in relation to the AI literacy of college students. Utilizing quantitative methods, this study conducted a survey of 401 Chinese college students to explore the relationships between students’ perceived explainability of AI, their co-creation behaviors with AI, and their AI literacy. The findings indicate that the explainability of AI positively influences college students’ intention to co-create with AI, and through engagement in co-creation practices with AI, students can enhance their own AI literacy. The research offers a new perspective and empirical support for the theoretical and practical development of AI literacy education, and provides valuable references for higher education institutions to adjust their strategies and educational innovations in the age of AI.
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Published In
May 2024
514 pages
ISBN:9798400709838
DOI:10.1145/3677892
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Published: 26 August 2024
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DSAI 2024
DSAI 2024: 2024 International Conference on Digital Society and Artificial Intelligence
May 24 - 26, 2024
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