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akaturk Akademik ölçüm

Makale detayı · 2026

The investigation of the relationships among artificial intelligence literacy, metacognitive awareness, satisfaction, learning strategies, and self-regulation skills of students in generative AI-powered programming education

YÖKSİS OpenAlex SJR Q1 JCR Q1 Atıf 1 Üst %10 Yüzdelik 98.0% FWCI 10.57
Yıl
2026
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • YÖKSİS dergi adı Journal of Research on Technology in Education
  • Katalog eşleşmesi (ISSN) Journal of Research on Technology in Education
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex · İngilizce

This study aims to examine the structural relationships of GitHub Copilot AI-powered programming education with students’ AI literacy, metacognitive awareness, satisfaction, learning strategies, and self-regulation skills. The research was carried out with the participation of 167 undergraduate students and AI literacy, metacognitive awareness, satisfaction, learning strategies, and self-regulation skills scales were used in the data collection process. The analyses conducted using structural equation modeling revealed that learning strategies positively influenced both metacognitive awareness and self-regulation skills. It was determined that metacognitive awareness significantly enhanced AI literacy and satisfaction. Self-regulation skills were found to have a positive impact on both AI literacy and satisfaction. This study reveals that AI tools are not merely supportive instruments that facilitate code writing but also pedagogical components that reshape learning-processes.

Konular

Atıflar

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