Blind and Visually Impaired (BVI) students face significant challenges in accessing and understanding data. Traditional educational resources often rely on visual aids, making it difficult for BVI students to develop data comprehension skills. This study proposes a new approach using Generative Artificial Intelligence, Universal Design for Learning, and Data Storytelling techniques to help BVI students understand data through narratives. By converting complex data concepts into interactive and adaptive narrative-based experiences, our aim is to reduce the accessibility gap and enhance cognitive engagement. Preliminary experiments suggest the feasibility of the proposed methodology. More testing with end users is needed to confirm its effectiveness.

Inclusive Data Literacy: UDL and AI-Assisted Data Storytelling for BVI Students

Barbara Leporini;Veronica Punzo;
2025-01-01

Abstract

Blind and Visually Impaired (BVI) students face significant challenges in accessing and understanding data. Traditional educational resources often rely on visual aids, making it difficult for BVI students to develop data comprehension skills. This study proposes a new approach using Generative Artificial Intelligence, Universal Design for Learning, and Data Storytelling techniques to help BVI students understand data through narratives. By converting complex data concepts into interactive and adaptive narrative-based experiences, our aim is to reduce the accessibility gap and enhance cognitive engagement. Preliminary experiments suggest the feasibility of the proposed methodology. More testing with end users is needed to confirm its effectiveness.
2025
978-3-031-99266-7
978-3-031-99267-4
File in questo prodotto:
File Dimensione Formato  
Buzzi_et_al_AIED.pdf

accesso aperto

Tipologia: Documento in Pre-print
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 316.68 kB
Formato Adobe PDF
316.68 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1319011
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact