Learning Technologies & AI

Who are we designing for?

Journal Article (2023)
Author(s)

Emiliana Murgia (Università degli Studi di Genova)

Monica Landoni (Università della Svizzera Italiana)

Theo Huibers (University of Twente)

Maria Soledad Pera (TU Delft - Web Information Systems)

Research Group
Web Information Systems
Copyright
© 2023 Emiliana Murgia, Monica Landoni, Theo Huibers, M.S. Pera
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Emiliana Murgia, Monica Landoni, Theo Huibers, M.S. Pera
Research Group
Web Information Systems
Volume number
3359
Pages (from-to)
250-253
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Focused on children and the learning context, we argue for the importance of designing artificial intelligence (AI) technologies that take a holistic view of their target users. Rather than prioritize system performance, these smart technologies can be tuned to assist users throughout the task completion process. We argue that considering children's diverse cultural, social, and emotional backgrounds is critical to pursuing inclusive and adaptive technologies that foster children's personalised learning and development.