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Exploring Generative AI Use in Teacher Education and Instructional Design

Abstract
Data di Pubblicazione:
2026
Abstract:
Generative Artificial Intelligence (GenAI) offers opportunities for instructional design but requires teachers to develop critical, ethical, and pedagogically grounded AI literacy. This exploratory mixed-methods study examined a professional development experience involving 599 in-service and pre-service teachers enrolled in the Qualifying Pathways at eCampus University (Italy) in a.y. 2025/26. Two questionnaires that investigated participants’ knowledge, prior use, attitudes and AI literacy, a reflective diary and a workshop activity on AI-supported instructional design were used to collect data. Main results showed that most participants viewed AI favourably and considered it potentially useful for professional practices. However, promoting its effective integration into instructional design requires greater awareness of pedagogical frameworks and the development of the ability to construct effective prompts. The study highlights several key points that should be considered when designing teacher education pathways.
Tipologia CRIS:
4.2 Abstract in Atti di convegno
Keywords:
AI Literacy, GenAI-supported Instructional Design, Instructional Design, Teacher Education
Elenco autori:
Gatti, Emmanuele; Giuliani, Arianna; Terrenghi, Ilaria; Triacca, Serena
Autori di Ateneo:
GIULIANI ARIANNA
TERRENGHI ILARIA
TRIACCA SERENA
Link alla scheda completa:
https://iris.uniecampus.it/handle/11389/95538
Titolo del libro:
Book of Abstracts of the 8th International Conference on Higher Education Learning Methodologies and Technologies Online
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