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Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study

Authors :
Benjamin, Jesse Josua
Lindley, Joseph
Edwards, Elizabeth
Rubegni, Elisa
Korjakow, Tim
Grist, David
Sharkey, Rhiannon
Publication Year :
2024

Abstract

Generative AI technologies demand new practical and critical competencies, which call on design to respond to and foster these. We present an exploratory study guided by Research-through-Design, in which we partnered with a primary school to develop a constructionist curriculum centered on students interacting with a generative AI technology. We provide a detailed account of the design of and outputs from the curriculum and learning materials, finding centrally that the reflexive and prolonged `hands-on' approach led to a co-development of students' practical and critical competencies. From the study, we contribute guidance for designing constructionist approaches to generative AI technology education; further arguing to do so with `critical responsivity.' We then discuss how HCI researchers may leverage constructionist strategies in designing interactions with generative AI technologies; and suggest that Research-through-Design can play an important role as a `rapid response methodology' capable of reacting to fast-evolving, disruptive technologies such as generative AI.<br />Comment: Conditionally Accepted at ACM DIS 2024

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2405.04677
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3643834.3660677