| Makale Türü |
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| Dergi Adı | BMC Psychology (Q1) | ||
| Dergi ISSN | 2050-7283 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2026 |
| Kabul Tarihi | 29-04-2026 | Yayınlanma Tarihi | 07-05-2026 |
| Cilt / Sayı / Sayfa | 14 / 1 / 1–25 | DOI | 10.1186/s40359-026-04679-z |
| Makale Linki | https://link.springer.com/article/10.1186/s40359-026-04679-z | ||
| UAK Araştırma Alanları |
Bilgisayar ve Öğretim Teknolojileri Eğitimi
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| Özet |
| Trust in artificial intelligence (AI) has emerged as a critical factor influencing students’ interactions with AI-supported learning environments. However, validated instruments for measuring student trust in AI within educational contexts remain limited. This study developed and validated a multidimensional scale to assess student trust in AI systems in online distance education. Scale development followed a sequential multi-stage design, including item generation based on literature review, expert evaluation for content validity, and psychometric validation through exploratory and confirmatory factor analyses. A total of 837 distance learning students participated in the study (EFA = 412; CFA = 307; validation sample = 118). Exploratory factor analysis supported a five-factor structure explaining 63.20% of the total variance. Confirmatory factor analysis with an independent sample indicated good model fit … |
| Anahtar Kelimeler |
| artificial intelligence | trust | technology acceptance | online distance education | higher education | scale development |
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 2 |
| Google Scholar | 3 |
| Dergi Adı | BMC Psychology |
| Kısa Adı | BMC PSYCHOL |
| Yayıncı | SPRINGERNATURE |
| Açık Erişim | Evet |
| ISSN | 2050-7283 |
| E-ISSN | 2050-7283 |
| Wos Quartile | Q1 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SSCI , Scopus |
| WoS Kategoriler | PSYCHOLOGY, MULTIDISCIPLINARY |
| Scopus Kategoriler | MEDICINE (MISCELLANEOUS) | PSYCHOLOGY (MISCELLANEOUS) |