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

Hasan Celal Balıkçı; Mustafa Alpsülün

Makale detayları

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

Yazarlar:

Hasan Celal Balıkçı | Mustafa Alpsülün

Yayıncı:

Kafkas University

Ana Başlıklar:

Instructional Technologies | Educational Technology and Computing

Dergi:

e-Kafkas Journal of Educational Research Vol.12 Issue 2, pp.444-457

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001354123

pISSN:

2148-8940

Anahtar kelimeler:

Özet:

 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.

 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.

 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.

 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.

Makale detayları

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

Yazarlar:

Hasan Celal Balıkçı | Mustafa Alpsülün

Yayıncı:

Kafkas University

Ana Başlıklar:

Instructional Technologies | Educational Technology and Computing

Dergi:

e-Kafkas Journal of Educational Research Vol.12 Issue 2, pp.444-457

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001354123

pISSN:

2148-8940

Artificial intelligence

attitude

adaptation

Sayı

Makale detayları

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

Yazarlar: Hasan Celal Balıkçı | Mustafa Alpsülün

Yayıncı: Kafkas University

Ana Başlıklar: Instructional Technologies | Educational Technology and Computing

Dergi: e-Kafkas Journal of Educational Research Vol.12 Issue 2, pp.444-457

Belge Tipi: Makale

Yayın Tarihi: 8/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001354123

pISSN: 2148-8940

Artificial intelligence

attitude

adaptation

Sayı

Yazarlar:

Hasan Celal Balıkçı | Mustafa Alpsülün

Yayıncı:

Kafkas University

Ana Başlıklar:

Instructional Technologies | Educational Technology and Computing

Dergi:

e-Kafkas Journal of Educational Research Vol.12 Issue 2, pp.444-457

Belge Tipi:

Makale

Yayın Tarihi:

8/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001354123

pISSN:

2148-8940