| ČERNÝ, Michal. AI Literacy in Higher Education: Theory and Design. Online. In Łukasz Tomczyk. New Media Pedagogy: Research Trends, Methodological Challenges, and Successful Implementations. NMP 2023. Communications in Computer and Information Science. Cham: Springer, 2024, p. 364–379. ISBN 978-3-031-63234-1. Available from: https://dx.doi.org/10.1007/978-3-031-63235-8_24. |
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@inproceedings{2423439,
author = {Černý, Michal},
address = {Cham},
booktitle = {New Media Pedagogy: Research Trends, Methodological Challenges, and Successful Implementations. NMP 2023. Communications in Computer and Information Science},
doi = {http://dx.doi.org/10.1007/978-3-031-63235-8_24},
editor = {Łukasz Tomczyk},
keywords = {AI literacy; Artificial intelligence; ChatGPT; Competency framework; Delphi method; Google Bard; Information literacy; participatory research methods},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham},
isbn = {978-3-031-63234-1},
pages = {364–379},
publisher = {Springer},
title = {AI Literacy in Higher Education: Theory and Design},
url = {https://link.springer.com/chapter/10.1007/978-3-031-63235-8_24},
year = {2024}
}
TY - JOUR
ID - 2423439
AU - Černý, Michal
PY - 2024
TI - AI Literacy in Higher Education: Theory and Design
PB - Springer
CY - Cham
SN - 9783031632341
KW - AI literacy
KW - Artificial intelligence
KW - ChatGPT
KW - Competency framework
KW - Delphi method
KW - Google Bard
KW - Information literacy
KW - participatory research methods
UR - https://link.springer.com/chapter/10.1007/978-3-031-63235-8_24
N2 - 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.
ER -
ČERNÝ, Michal. AI Literacy in Higher Education: Theory and Design. Online. In Łukasz Tomczyk. \textit{New Media Pedagogy: Research Trends, Methodological Challenges, and Successful Implementations. NMP 2023. Communications in Computer and Information Science}. Cham: Springer, 2024, p.~364–379. ISBN~978-3-031-63234-1. Available from: https://dx.doi.org/10.1007/978-3-031-63235-8\_{}24.
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