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The aim of this study is to develop a scale to measure the use and proficiency levels of productive artificial intelligence among young and adult lifelong learners. Research data were collected from 248 individuals aged between 18 and 55. After a thorough review of the literature, an item pool for the scale was created. Similar scales in the related field were examined, and the item pool was developed accordingly. The items were reviewed by two experts in educational technology and lifelong learning, as well as a scale development specialist. After making the necessary revisions, the trial form of the scale was presented to the participants. To determine the construct validity of the scale, exploratory factor analysis was conducted. The results of the exploratory factor analysis indicated that the scale consisted of two factors. The first factor comprises 10 items, while the second factor consists of 9 items. Confirmatory factor analysis was performed to reveal the relationships within the factors, the relationships between the variables and the factors, and the explanatory power of the factors on the model. The internal consistency coefficient, Cronbach's alpha reliability value, was determined to be .833. In conclusion, the Artificial Intelligence Usage and Proficiency (AIUP) Scale is expected to fill a gap in the literature and to be a scalable tool.
Arslankara et al. (Mon,) studied this question.