Yapay Zekâ Okuryazarlığı Ölçeği'nin Türkçeye Uyarlanması.

Erdoğan, Tuğba Eniş; Ekşioğlu, Subhan

In the study, it is aimed to adapt a valid and reliable measurement tool which measures Artificial Intelligence (AI) Literacy levels of teachers into Turkish. The AI Literacy Scale, formulated by Wang, Rau, and Yuan (2023), served as the basis to assess the views of teachers regarding AI literacy. The adaptation process included descriptive and confirmatory factor analyses as well as reliability analysis. The study sample, selected through a convenience sampling method, included 226 teachers who participated voluntarily. The adequacy of the sample was confirmed by a Kaiser-Meyer-Olkin value of 0.780, and the Bartlett test was significant. Results from the explanatory factor analysis showed that the scale was divided into four distinct dimensions similar to the original scale, with a total explained variance of 82.873%. The scale's fit indices, including RMSEA=0.078, NFI=0.944, TLI=0.952, CFI=0.967, IFI=0.967, and GFI=0.931, were all within acceptable ranges. The scale's reliability was indicated by a Cronbach's alpha value of 0.861. Additionally, positive correlations, ranging from low to moderate, were identified among the scale's dimensions. The average score for the scale was 3.97. The Turkish adaptation of the AI Literacy Scale was recognized as a dependable and accurate tool for gauging participants' AI literacy perceptions. The findings from the original scale aligned with those obtained from the Turkish version. Therefore, it is considered that the scale is suitable for assessing participants' views on AI literacy.

CONVENIENCE sampling (Statistics); CONFIRMATORY factor analysis; CRONBACH'S alpha; FACTOR analysis; ARTIFICIAL intelligence

Journal of Turkish Educational Sciences, 2024, Vol 22, Issue 2, p1196

1303-8451

Academic Journal

10.37217/tebd.1496716