Learning Technologies & AI

Who are we designing for?

Journal article (2023)

Authors

Emiliana Murgia University of Genova
Monica Landoni Università della Svizzera Italiana
Theo Huibers University of Twente
M.S. Pera Web Information Systems - EEMCS
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2023 Emiliana Murgia, Monica Landoni, Theo Huibers, M.S. Pera
Children Artificial Intelligence Personalization Educational Technology
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Published Date

2023

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

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.