A systematic review of AI literacy scales

J 2024

A systematic review of AI literacy scales

LINTNER, Tomáš

Základní údaje

Originální název

A systematic review of AI literacy scales

Autoři

LINTNER, Tomáš

Vydání

npj Science of Learning, London, NATURE PORTFOLIO, 2024, 2056-7936

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50301 Education, general; including training, pedagogy, didactics [and education systems]

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.000

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14210/24:00136702

Organizační jednotka

Filozofická fakulta

Klíčová slova anglicky

systematic review; artificial intelligence; AI literacy; measurement scales

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 4. 4. 2025 14:35, Mgr. et Mgr. Stanislav Hasil, Ph.D.

Anotace

V originále

With the opportunities and challenges stemming from the artificial intelligence developments and its integration into society, AI literacy becomes a key concern. Utilizing quality AI literacy instruments is crucial for understanding and promoting AI literacy development. This systematic review assessed the quality of AI literacy scales using the COSMIN tool aiming to aid researchers in choosing instruments for AI literacy assessment. This review identified 22 studies validating 16 scales targeting various populations including general population, higher education students, secondary education students, and teachers. Overall, the scales demonstrated good structural validity and internal consistency. On the other hand, only a few have been tested for content validity, reliability, construct validity, and responsiveness. None of the scales have been tested for cross-cultural validity and measurement error. Most studies did not report any interpretability indicators and almost none had raw data available. There are 3 performance-based scale available, compared to 13 self-report scales.

Návaznosti

LX22NPO5101, projekt VaV

Název: Národní institut pro výzkum socioekonomických dopadů nemocí a systémových rizik (Akronym: SYRI)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Národní institut pro výzkum socioekonomických dopadů nemocí a systémových rizik, 5.1 EXCELES

Přiložené soubory

Lintner_2024c.pdf

Citovat

LINTNER, Tomáš. A systematic review of AI literacy scales. npj Science of Learning. London: NATURE PORTFOLIO, 2024, roč. 9, č. 1, s. 1-11. ISSN 2056-7936. Dostupné z: https://doi.org/10.1038/s41539-024-00264-4.

@article{2421778,
   author = {Lintner, Tomáš},
   article_location = {London},
   article_number = {1},
   doi = {https://doi.org/10.1038/s41539-024-00264-4},
   keywords = {systematic review; artificial intelligence; AI literacy; measurement scales},
   language = {eng},
   issn = {2056-7936},
   journal = {npj Science of Learning},
   title = {A systematic review of AI literacy scales},
   url = {https://doi.org/10.1038/s41539-024-00264-4},
   volume = {9},
   year = {2024}
}

TY  - JOUR
ID  - 2421778
AU  - Lintner, Tomáš
PY  - 2024
TI  - A systematic review of AI literacy scales
JF  - npj Science of Learning
VL  - 9
IS  - 1
SP  - 1-11
EP  - 1-11
PB  - NATURE PORTFOLIO
SN  - 20567936
KW  - systematic review
KW  - artificial intelligence
KW  - AI literacy
KW  - measurement scales
UR  - https://doi.org/10.1038/s41539-024-00264-4
N2  - With the opportunities and challenges stemming from the artificial intelligence developments and its integration into society, AI literacy becomes a key concern. Utilizing quality AI literacy instruments is crucial for understanding and promoting AI literacy development. This systematic review assessed the quality of AI literacy scales using the COSMIN tool aiming to aid researchers in choosing instruments for AI literacy assessment. This review identified 22 studies validating 16 scales targeting various populations including general population, higher education students, secondary education students, and teachers. Overall, the scales demonstrated good structural validity and internal consistency. On the other hand, only a few have been tested for content validity, reliability, construct validity, and responsiveness. None of the scales have been tested for cross-cultural validity and measurement error. Most studies did not report any interpretability indicators and almost none had raw data available. There are 3 performance-based scale available, compared to 13 self-report scales.
ER  -

LINTNER, Tomáš. A systematic review of AI literacy scales. \textit{npj Science of Learning}. London: NATURE PORTFOLIO, 2024, roč.~9, č.~1, s.~1-11. ISSN~2056-7936. Dostupné z: https://doi.org/10.1038/s41539-024-00264-4.

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