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Developing Artificial Intelligence Explanations for Technology Enhanced Learning with and for Special Educational Needs Children and Teachers

  • Beate Grawemeyer
  • , Manolis Mavrikis
  • University College London

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

2 Downloads (Pure)

Abstract

This paper describes a participatory design approach involving children with special education needs (SEN) and their teachers in the design of AI explanations for a maths learning environment. Findings from these design activities indicate that the children were particularly curious about how the AI ‘learned’ maths. The teachers wanted not only information about the AI algorithm but also information about the data used by the AI and ethical considerations. These findings could provide practical insights to inform further design of transparent and accessible AIED systems especially for SEN children.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED
EditorsAlexandra I. Cristea, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani
PublisherSpringer Nature
Pages321-327
Number of pages7
ISBN (Electronic)978-3-031-99264-3
ISBN (Print)978-3-031-99263-6
DOIs
Publication statusE-pub ahead of print - 21 Jul 2025
Event26th International Conference on Artificial Intelligence in Education - Palermo, Italy
Duration: 22 Jul 202526 Jul 2025

Publication series

NameCommunications in Computer and Information Science
Volume2591 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference26th International Conference on Artificial Intelligence in Education
Abbreviated titleAIED 2025
Country/TerritoryItaly
CityPalermo
Period22/07/2526/07/25
OtherPoster papers and late breaking results, workshops and tutorials, practitioners, industry and policy track, doctoral consortium, blue sky and wideAIED papers

Bibliographical note

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: 10.1007/978-3-031-99264-3_40

Funding

We are especially grateful to the participants who willingly gave their time to take part in this study. The authors gratefully acknowledge Sherbourne Fields Special School in Coventry. The support of REPHRAIN, UKRI (grant number EP/V011189/1) is also gratefully acknowledged.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Artificial Intelligence Explanations
  • Intelligent Learning Environments
  • Participatory Design
  • Special Educational Needs

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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