Artificial Intelligence, AI literacy, Digital literacy, AI literacy scale

Öğretim Teknolojisi ve Hayat Boyu Öğrenme Dergisi - Instructional Technology and Lifelong Learning Pub Date : 2023-12-31 DOI:10.52911/itall.1401740

C. Çelebi, Fatih Yilmaz, Ugur Demir, Ferhat Karakuş

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Abstract

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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人工智能、人工智能素养、数字素养、人工智能素养量表

本研究的目的是将 Wang 等人（2022 年）开发的人工智能素养量表（AILS）改编成土耳其语，并研究其有效性和可靠性。该量表旨在测量非专业成年人的人工智能素养水平。研究数据来自 402 名参与者，研究人员对改编后的量表进行了确证因子分析（CFA）以检验其效度，并采用 Cronbach's alpha 技术检验其信度。与原版量表一样，改编后的量表由 12 个项目和 4 个因子组成。CFA 结果表明，X^2/df =1.82，RMSEA =0.04，RMR =0.03，NFI =0.95，CFI =0.98，GFI =0.96，AGFI =0.94。根据 CFA 的结果，可以得出改编后的量表具有良好的拟合效果。至于信度，就各因子而言，内部一致性结果分别为 0.72、0.74、0.76 和 0.72。此外，整个量表的 α=0.85 。由此可见，该量表及其因子都具有足够的可靠性，经过改编的量表可以在土耳其文化中使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Öğretim Teknolojisi ve Hayat Boyu Öğrenme Dergisi - Instructional Technology and Lifelong Learning

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