J 2024

University Students’ Conceptualisation of AI Literacy : Theory and Empirical Evidence

ČERNÝ, Michal

Základní 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
Název: Design Thinking Action Lab: společnost a technologie
Investor: Masarykova univerzita, Design Thinking Action Lab: společnost a technologie