Developing a Parental Mediation Scale for Artificial Intelligence-supported Technologies for Children (AI in Early Education Integrating Artificial Intelligence for Inclusive and Effective Learning)
Yazarlar (1)
Doç. Dr. Ali İbrahim Can GÖZÜM Kafkas Üniversitesi, Türkiye
| Bölüm Adı | Developing a Parental Mediation Scale for Artificial Intelligence-supported Technologies for Children | ||
| Kitap Adı | AI in Early Education Integrating Artificial Intelligence for Inclusive and Effective Learning | ||
| Bölüm Sayfaları | 107-130 | ||
| Kitap Türü | Kitap Bölümü | ||
| Kitap Alt Türü | Alanında uluslararası yayınlanan kitap bölümü | ||
| Kitap Niteliği | Scopus indeksinde taranan bilimsel kitap | ||
| Kitap Dili | İngilizce | Basım Tarihi | 01-2026 |
| DOI Numarası | 10.1002/9781394352821.ch07 | ISBN | 9781394352814, 9781394352821 |
| Basıldığı Ülke | Basıldığı Şehir | ||
| Kitap Linki | https://onlinelibrary.wiley.com/doi/abs/10.1002/9781394352821.ch07 | ||
| UAK Araştırma Alanları |
Eğitim Bilimleri
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| Özet |
| The theoretical foundations of the Parental Mediation Scale for Artificial Intelligence‐supported Technologies for Children (PMSAITC) are grounded in Vygotsky's sociocultural development theory, Bandura's social learning theory, Bronfenbrenner's ecological systems theory, and traditional media mediation theories. The study employed a quantitative survey method and involved two distinct groups: one for Exploratory Factor Analysis (EFA; ) and another for Confirmatory Factor Analysis (CFA; ), totaling 551 parent participants. The EFA identified five factors—restrictive, co‐use, viewing, laissez‐faire, and technical mediation—underpinning the scale. The CFA, conducted on a separate sample, confirmed this factor structure based on fit indices. Reliability analysis indicated that all factors were consistent and dependable. Following … |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 1 |