Date
Publisher
arXiv
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 participatoryresearchstrategywithdifferentstakeholdersthroughacase 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 indesigningandimplementingAI-basedtechnologiesforchildren 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.
Study at a glance
- Question: How can stakeholders collaboratively design ethical AI tools for children with reading comprehension difficulties?
- Setting and data: Stakeholders involved in the ARTIS Project, which develops an AI interface for children with text comprehension difficulties.
- Method: Case study using focus groups and collaborative design sessions (participatory research strategy).
Why it matters
AI can enhance inclusive learning for children with Special Educational Needs and Disabilities, but its use presents ethical challenges. Technological development needs a strong ethical-theoretical framework to bridge the gap between technological innovation and ethical responsibility.
Key findings
- For children with special educational needs, AI tools have significant potential to enhance learning experiences, empower students, and support educators.
- The Capability Approach offers a relevant framework to evaluate functionality, effectiveness, and technological adequacy in inclusive learning environments.
- A holistic, participatory approach integrating educational, clinical, ethical, and technological expertise can help bridge technological innovation and ethical responsibility.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
