AI Literacy in Higher Education: Theory and Design

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Authors	ČERNÝ Michal
Year of publication	2024
Type	Article in Proceedings
Conference	New Media Pedagogy: Research Trends, Methodological Challenges, and Successful Implementations. NMP 2023. Communications in Computer and Information Science
MU Faculty or unit	Faculty of Arts
Citation
web	https://link.springer.com/chapter/10.1007/978-3-031-63235-8_24
Doi	http://dx.doi.org/10.1007/978-3-031-63235-8_24
Keywords	AI literacy; Artificial intelligence; ChatGPT; Competency framework; Delphi method; Google Bard; Information literacy; participatory research methods
Description	The study focused on defining AI literacy in the context of university education. New forms of education and content are required in a rapidly changing technological environment. Students may feel uneasy about the changes that the university and their everyday world bring. This study analyses the results of a workshop in which students (18) with deep education in AI were asked to work on a framework for AI literacy using the Delphi method. The students defined ten areas essential to AI literacy: general overview and theory; ethics and social impacts; learning and trend tracking; technological skills; practical experience; critical thinking and information literacy; authorship and plagiarism; privacy and security; and experience with tools.