2024
University Students’ Conceptualisation of AI Literacy : Theory and Empirical Evidence
ČERNÝ, MichalZákladní údaje
Originální název
University Students’ Conceptualisation of AI Literacy : Theory and Empirical Evidence
Autoři
ČERNÝ, Michal (203 Česká republika, garant, domácí)
Vydání
Social Sciences, Basel, MDPI, 2024, 2076-0760
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50301 Education, general; including training, pedagogy, didactics [and education systems]
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 1.700 v roce 2023
Kód RIV
RIV/00216224:14210/24:00135762
Organizační jednotka
Filozofická fakulta
UT WoS
001192911600001
EID Scopus
2-s2.0-85189180665
Klíčová slova anglicky
AI literacy; questionnaire; survey study; distributed mind; literacy; neural networks; social ethics; control; modernity; ecological paradigm
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 17. 3. 2025 21:48, doc. RNDr. Michal Černý, Ph.D.
Anotace
V originále
This research endeavours to systematically investigate the multifaceted domain of AI literacy, given the pervasive impact of artificial intelligence on diverse facets of contemporary human existence. The inquiry is motivated by a fundamental question posed to educators: how best to cultivate AI literacies and competencies and how these proficiencies are structured and influenced. Employing a rigorous two-part methodology, the initial phase scrutinises 28 studies from the SCOPUS database, unveiling five distinct discourses germane to AI literacy. Subsequently, the second phase involves the administration of questionnaires to 73 students, whose responses undergo thematic analysis to discern patterns within the four domains delineated by Ng et al. The ensuing discourse underscores a pivotal revelation: despite formal adherence to established discourses, the conceptualisation of AI literacy necessitates a departure from conventional perspectives. Ethical principles, elucidated by students, emerge not merely as individual components but as integral facets of a broader societal literacy profile, thereby advocating a paradigm shift towards social reflection. This novel insight prompts a critical re-evaluation of AI literacy’s prevailing assumptions and conceptual frameworks, urging a transition towards models grounded in ecological or network dynamic interactionist principles.
Návaznosti
MUNI/A/1509/2023, interní kód MU |
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