Adaptation of Artificial Intelligence Literacy Scale into Turkish: A Sample of Pre-Service Teachers
Year: 2024
Type: article
Abstract: This study aims to adapt the Artificial Intelligence Literacy Scale translated by Wang et al. (2023) into Turkish and create a scale suitable for assessing the artificial intelligence literacy of pre-service teachers. The study used the survey method within the scope of the quantitative method. The sample of the study consisted of 440 pre-service teachers from a state university in the Eastern Anatolia Region of Turkey. The original scale consists of 12 items, 4 factors, and a 5-point Likert-type structure. In the first stage, we conducted translation studies to assess the language validity of the adapted scale. Then, the data collected from the part of the sample determined for EFA (Exploratory Factor Analysis) were analyzed. The results show that the adapted scale preserves the original scale structure. The data collected from the part of the sample designated for CFA (confirmatory factor analysis) was also analyzed. The results of the analysis show that the scale has acceptable and good-fit indices. In terms of reliability, Cronbach Alpha reliability coefficients show that the scale has a reliable structure. The results of the analysis indicate that the scale adapted into Turkish has a valid and reliable structure.
Authors: Hilal Uğraş, Merve Doğan, Mustafa Uğraş
Institutions: Fırat University, Hasan Kalyoncu University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4405537894