Turkish Adaptation of the AI Readiness Scale for Preservice Teachers. 10
Yazarlar (2)
Doç. Dr. Gül ÖZÜDOĞRU Kırşehir Ahi Evran Üniversitesi, Türkiye
Hatice Yildiz Durak Necmettin Erbakan Üniversitesi, Türkiye
| Bildiri Türü |
Tebliğ/Bildiri
|
Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | Uluslararası New York Sosyal, Beşerî, İdari Ve Eğitim Bilimlerinde Akademik Çalışmalar Kongresi | ||
| Kongre Tarihi | 01-01-2024 / 01-01-2024 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | |
| Bildiri Linki | https://scales.arabpsychology.com/wp-content/uploads/2024/07/ogretmen-adaylarina-yonelik-yapay-zeka-hazirbulunusluk-olcegi-36544-toad.pdf | ||
| UAK Araştırma Alanları |
Eğitim Bilimleri
|
||
| Özet |
| This study aimed to adapt the scale created by Wang et al.(2023) into Turkish. The constructs developed by Karaca et al.(2021) were utilized for the constructs addressed in this study. Validity and reliability studies were conducted during the adaptation process. The original scale has a 5-point Likert structure. The scale has 18 items and 4 subscales. The aim of the scale is to examine the perception of pre-service teachers' readiness for the use of artificial intelligence in teaching. This research was conducted with preservice students studying at the faculty of education. All of the scale adaptation stages were followed in the study. In the analysis of the data, various analyzes were included for the validity and reliability studies of the scale. As a result of the research, a valid and reliable scale capable of determining the artificial intelligence readiness of preservice teachers with four subscales was introduced to the literature. |
| Anahtar Kelimeler |
