克朗巴赫阿尔法
比例(比率)
验证性因素分析
心理学
可靠性(半导体)
读写能力
土耳其
结构方程建模
考试(生物学)
有效性
统计
心理测量学
数学
发展心理学
教育学
地理
哲学
古生物学
功率(物理)
物理
语言学
地图学
生物
量子力学
作者
Celalettin ÇELEBİ,Fatih Yılmaz,Uğur Demir,Ferhat KARAKUŞ
出处
期刊:Öğretim Teknolojisi ve Hayat Boyu Öğrenme Dergisi - Instructional Technology and Lifelong Learning
[Ogretim Teknolojisi ve Hayat Boyu Ogrenme Dergisi (ITALL)]
日期:2023-12-31
被引量:2
标识
DOI:10.52911/itall.1401740
摘要
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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