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Main Authors: Cesaroni, Valeria, Pasqua, Eleonora, Bisconti, Piercosma, Galletti, Martina
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.15466
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author Cesaroni, Valeria
Pasqua, Eleonora
Bisconti, Piercosma
Galletti, Martina
author_facet Cesaroni, Valeria
Pasqua, Eleonora
Bisconti, Piercosma
Galletti, Martina
contents AI-based technologies have significant potential to enhance inclusive education and clinical-rehabilitative contexts for children with Special Educational Needs and Disabilities. AI can enhance learning experiences, empower students, and support both teachers and rehabilitators. However, their usage presents challenges that require a systemic-ecological vision, ethical considerations, and participatory research. Therefore, research and technological development must be rooted in a strong ethical-theoretical framework. The Capability Approach - a theoretical model of disability, human vulnerability, and inclusion - offers a more relevant perspective on functionality, effectiveness, and technological adequacy in inclusive learning environments. In this paper, we propose a participatory research strategy with different stakeholders through a case study on the ARTIS Project, which develops an AI-enriched interface to support children with text comprehension difficulties. Our research strategy integrates ethical, educational, clinical, and technological expertise in designing and implementing AI-based technologies for children's learning environments through focus groups and collaborative design sessions. We believe that this holistic approach to AI adoption in education can help bridge the gap between technological innovation and ethical responsibility.
format Preprint
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publishDate 2025
record_format arxiv
spellingShingle A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
Cesaroni, Valeria
Pasqua, Eleonora
Bisconti, Piercosma
Galletti, Martina
Computers and Society
Computation and Language
AI-based technologies have significant potential to enhance inclusive education and clinical-rehabilitative contexts for children with Special Educational Needs and Disabilities. AI can enhance learning experiences, empower students, and support both teachers and rehabilitators. However, their usage presents challenges that require a systemic-ecological vision, ethical considerations, and participatory research. Therefore, research and technological development must be rooted in a strong ethical-theoretical framework. The Capability Approach - a theoretical model of disability, human vulnerability, and inclusion - offers a more relevant perspective on functionality, effectiveness, and technological adequacy in inclusive learning environments. In this paper, we propose a participatory research strategy with different stakeholders through a case study on the ARTIS Project, which develops an AI-enriched interface to support children with text comprehension difficulties. Our research strategy integrates ethical, educational, clinical, and technological expertise in designing and implementing AI-based technologies for children's learning environments through focus groups and collaborative design sessions. We believe that this holistic approach to AI adoption in education can help bridge the gap between technological innovation and ethical responsibility.
title A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
topic Computers and Society
Computation and Language
url https://arxiv.org/abs/2505.15466