This contribution explores pre-service teachers’ perceptions of AI, analyzing the factors (familiarity, limitations, ethical concerns) that influence its acceptance and use. The study adopts a convergent mixed-methods research design. The results highlight both enthusiasm and uncertainty, underscoring the need for critical reflection on the human-AI relationship and on ethical and inclusive models – such as UDL – to enhance the integrative (and non-substitutive) function of AI.
BETWEEN ENTHUSIASM AND RESISTANCE: PERCEPTIONS OF AI IN TEACHER EDUCATION
Vinci, Viviana;Berardi, Pierangelo
2025-01-01
Abstract
This contribution explores pre-service teachers’ perceptions of AI, analyzing the factors (familiarity, limitations, ethical concerns) that influence its acceptance and use. The study adopts a convergent mixed-methods research design. The results highlight both enthusiasm and uncertainty, underscoring the need for critical reflection on the human-AI relationship and on ethical and inclusive models – such as UDL – to enhance the integrative (and non-substitutive) function of AI.File in questo prodotto:
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