AI Literacy in Higher Education: Theory and Design

Varování

Publikace nespadá pod Pedagogickou fakultu, ale pod Filozofickou fakultu. Oficiální stránka publikace je na webu muni.cz.

Autoři	ČERNÝ Michal
Rok publikování	2024
Druh	Článek ve sborníku
Konference	New Media Pedagogy: Research Trends, Methodological Challenges, and Successful Implementations. NMP 2023. Communications in Computer and Information Science
Fakulta / Pracoviště MU	Filozofická fakulta
Citace
www	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
Klíčová slova	AI literacy; Artificial intelligence; ChatGPT; Competency framework; Delphi method; Google Bard; Information literacy; participatory research methods
Popis	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.