Artificial Intelligence, AI literacy, Digital literacy, AI literacy scale
Open accessAbstract
The purpose of this research is to adapt the Artificial Intelligence Literacy Scale (AILS) developed by Wang et al. (2022) into Turkish and study its validity and reliability. The scale aims to measure the artificial intelligence literacy levels of non-expert adults. The research data were gathered from 402 participants, and the researchers did Confirmatory Factor Analysis (CFA) to test the validity of the adapted scale, and to test the reliability, they adopted Cronbach’s alpha technique. The adapted scale consists of 12 items and 4 factors, as is the case in the original version. CFA results indicate that X^2/df =1.82, RMSEA = 0.04, RMR = 0.03, NFI = 0.95, CFI = 0.98, GFI = 0.96 and AGFI = 0.94. Considering CFA results, it is concluded that the adapted scale is a good fit. As for reliability, as far as the factors are concerned, the internal consistency results are 0.72, 0.74, 0.76, and 0.72, respectively. Additionally, α=0.85 for the whole scale. Consideringly, the scale and its factors are adequately reliable, and the adapted scale can be used in Turkish culture.
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Adaptation studies conducted by Çelebi et al. (2023) and Karaoglan and Yilmaz (2023) demonstrated high levels of reliability in the adapted versions of the scale.
“Adaptation studies conducted by Çelebi et al. (2023) and Karaoglan and Yilmaz (2023) demonstrated high levels of reliability in the adapted versions of the scale, proving the effectiveness of these efforts.”
From Adaptation and psychometric properties of a brief version of the general self-efficacy scale for use with artificial intelligence (GSE-6AI) among university students (2024) · cites this paper as Çelebi et al. (2023)
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Cited by
Sorted by citations
Learning About AI: A Systematic Review of Reviews on AI Literacy
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- Authors
- ÇELEBİ, C., YILMAZ, F., DEMİR, U., & KARAKUŞ, F.
- Affiliations
- Necmettin Erbakan University (TR)
- Konya Milli Eğitim Müdürlüğü
- NECMETTIN ERBAKAN UNIVERSITY
- Mi̇lli̇ Eği̇ti̇m Bakanliği (TR)
- Venue
- Öğretim Teknolojisi ve Hayat Boyu Öğrenme Dergisi - Instructional Technology and Lifelong Learning
- Published
- 2023-12-31
- ISSN
- 2717-8307 (ISSN-L)
- OpenAlex
- W4390470654
- Cited by
- 77
- References
- 50
- Citations by year
- 2026: 40 · 2025: 26 · 2024: 11
- FWCI
- 18.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Öğretim Teknolojisi ve Hayat Boyu Öğrenme Dergisi - Instructional Technology and Lifelong Learning (publishedVersion, cc-by)
- DergiPark (Istanbul University) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Digital literacy in education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Keywords
- AI literacy, AI literacy scale, scale adaptation, Turkish adaptation, digital literacy, psychometric validation, factor structure
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