Academic Journal
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.
| Τίτλος: | 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. |
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| Συγγραφείς: | Karaoglan Yilmaz, Fatma Gizem1 (AUTHOR), Olpak, Yusuf Ziya2 (AUTHOR), Yilmaz, Ramazan1 (AUTHOR) ramazanyilmaz067@gmail.com |
| Πηγή: | Journal of Research on Technology in Education. Jun2026, p1-25. 25p. 2 Illustrations. |
| Θεματικοί όροι: | *Generative artificial intelligence, Computer programming education, Metacognition, Executive function, Learning strategies, Student satisfaction |
| Περίληψη: | AbstractThis 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. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Business Source Index |
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