Turkish Adaptation of Artificial Intelligence Attitude Scale-4: Investigating General AI Attitudes through Various Factors

This study aimed to evaluate the validity and reliability of the Artificial Intelligence Attitude Scale (AIAS-4), originally developed by Grassini (2023) and subsequently adapted into Turkish. In addition, the study examined participants' attitudes toward artificial intelligence (AI) across various demographic and usage-related factors. Following the translation and cultural adaptation of the scale, analyses were conducted to assess its psychometric properties. A total of 315 individuals voluntarily participated, and data were collected via an online platform. Statistical analyses confirmed that the Turkish version of the AIAS-4 is a valid and reliable instrument. The study also explored differences in AI attitudes based on gender, age, education level, and daily internet use. The results indicated significant differences in attitudes depending on gender, education level, and internet usage duration, whereas age did not have a significant effect. Overall, participants exhibited positive attitudes toward AI, with most reporting usage in areas such as digital assistants and language translation tools. This study contributes to a deeper understanding of AI attitudes and highlights demographic differences in these perceptions.

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Publication Details

Journal
e-Kafkas Eğitim Araştırmaları Dergisi
Published
2025-08-30
DOI
https://doi.org/10.30900/kafkasegt.1509077
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Turkish Adaptation of Artificial Intelligence Attitude Scale-4: Investigating General AI Attitudes through Various Factors

Mustafa Alpsülün, Hasan Celal Balıkçı
e-Kafkas Eğitim Araştırmaları Dergisi
AI in Service Interactions
article

Turkish Adaptation of Artificial Intelligence Attitude Scale-4: Investigating General AI Attitudes through Various Factors

Mustafa Alpsülün, Hasan Celal Balıkçı
article en

Abstract

This study aimed to evaluate the validity and reliability of the Artificial Intelligence Attitude Scale (AIAS-4), originally developed by Grassini (2023) and subsequently adapted into Turkish. In addition, the study examined participants' attitudes toward artificial intelligence (AI) across various demographic and usage-related factors. Following the translation and cultural adaptation of the scale, analyses were conducted to assess its psychometric properties. A total of 315 individuals voluntarily participated, and data were collected via an online platform. Statistical analyses confirmed that the Turkish version of the AIAS-4 is a valid and reliable instrument. The study also explored differences in AI attitudes based on gender, age, education level, and daily internet use. The results indicated significant differences in attitudes depending on gender, education level, and internet usage duration, whereas age did not have a significant effect. Overall, participants exhibited positive attitudes toward AI, with most reporting usage in areas such as digital assistants and language translation tools. This study contributes to a deeper understanding of AI attitudes and highlights demographic differences in these perceptions.

e-Kafkas Eğitim Araştırmaları DergisiVol. 12(2)
Harran University (TR)
Openalex Percentile: Top 88%
AI in Service Interactions
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