The integration of Artificial Intelligence (AI) into education systems marks shift in learning and teaching methods, fostering a paradigm shift towards more personalized and inclusive learning environments. Our study examines the integration of AI in two teacher training (TT) initiatives: the "Expert in the Processes of Inclusive Education" programme, designed for the training of trainers for new teachers, and the "Specialisation Course in Special Education-al Needs", aimed at preparing new support teachers. The curricula of both courses include a section on new learning technologies in which training on AI was offered. The article illustrates the potential of AI to personalise learning pathways, en-hance language assessments and modify texts to improve comprehension and accessibility for students with different abilities. Despite the opportunities, the integration of AI in education also brings challenges. The authors take a criti-cal look at potential risks, such as AI-induced distortions of reality perception, and emphasise the need to integrate AI into educational practise in a pedagog-ically meaningful way and to promote a critical and responsible approach to AI among educators. Finally, the authors propose a framework for the effective integration of AI in-to educational practise and highlights the central role of TT in maximising the benefits of AI and minimising its drawbacks. This framework is intended to contribute to the ongoing discourse on AIED and emphasise the need for a comprehensive understanding of the impact of AI on the educational ecosys-tem.

The Critical Role of AI in Teachers’ Training

Alessandro Monchietto;and Luca Ballestra Caffaratti
2025-01-01

Abstract

The integration of Artificial Intelligence (AI) into education systems marks shift in learning and teaching methods, fostering a paradigm shift towards more personalized and inclusive learning environments. Our study examines the integration of AI in two teacher training (TT) initiatives: the "Expert in the Processes of Inclusive Education" programme, designed for the training of trainers for new teachers, and the "Specialisation Course in Special Education-al Needs", aimed at preparing new support teachers. The curricula of both courses include a section on new learning technologies in which training on AI was offered. The article illustrates the potential of AI to personalise learning pathways, en-hance language assessments and modify texts to improve comprehension and accessibility for students with different abilities. Despite the opportunities, the integration of AI in education also brings challenges. The authors take a criti-cal look at potential risks, such as AI-induced distortions of reality perception, and emphasise the need to integrate AI into educational practise in a pedagog-ically meaningful way and to promote a critical and responsible approach to AI among educators. Finally, the authors propose a framework for the effective integration of AI in-to educational practise and highlights the central role of TT in maximising the benefits of AI and minimising its drawbacks. This framework is intended to contribute to the ongoing discourse on AIED and emphasise the need for a comprehensive understanding of the impact of AI on the educational ecosys-tem.
2025
Inclusion, Communication, and Social Engagement
Springer Nature
387
398
978-3-032-03020-7
https://link.springer.com/chapter/10.1007/978-3-032-03021-4_28
Artificial Intelligence, School Inclusion, Teacher Training
Alessandro Monchietto; and Luca Ballestra Caffaratti
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2093012
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