2025
Artificial Intelligence Metaphors for Students as a Fundament for Developing AI Literacy
ČERNÝ, MichalBasic information
Original name
Artificial Intelligence Metaphors for Students as a Fundament for Developing AI Literacy
Authors
ČERNÝ, Michal (203 Czech Republic, guarantor, belonging to the institution)
Edition
1. vyd. Cham, New Media Pedagogy : Research Trends, Methodological Challenges, and Successful Implementations, p. 280-292, 13 pp. 2025
Publisher
Springer
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
50301 Education, general; including training, pedagogy, didactics [and education systems]
Country of publisher
Switzerland
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
References:
Organization unit
Faculty of Arts
ISBN
978-3-031-95626-3
EID Scopus
2-s2.0-105010184090
Keywords in English
literacy; teachers; teacher preparation; situational analysis; information literacy
Tags
Tags
International impact, Reviewed
Changed: 20/8/2025 14:12, Mgr. et Mgr. Stanislav Hasil
Abstract
In the original language
Metaphors are a form of abstraction of a particular model of reality, which is usually more complex and complicated. However, through metaphors, a person - a student - can get hold of complex phenomena and work with them. This abstraction is, at the same time, a form of cognitive shortcut, which always departs from specific details and characteristics of the phenomenon and, at the same time, can provide new insights into it. These insights can be inspiring but also misleading and simplistic. The study uses data from university students reflecting on their perceptions of what AI means to them and how they think about it. The study identifies four fundamental metaphors representing a student structuring of the AI phenomenon and offering specific educational strategies: Enkidu, Politics before the elections, Goddess Gaia and Extensions of the cognition. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Links
MUNI/ESPRO/0853/2023, interní kód MU |
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