Riding, Katherine;
O'Brien, Dan;
Ibrahim, Maryam;
Du, Wenfei;
Li, Shuhui Sophie;
Liu, Bohan;
Clark-Wilson, Alison;
(2023)
Augmented reality manipulatives: New mathematical tools for classrooms.
Mathematics Teaching (MT)
, 287
pp. 34-38.
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Abstract
We are a group of practitioners and researchers dedicated to exploring Augmented Reality (AR) innovations for use in mathematics education. At the ATM Virtual Conference (October 2022), merging the themes of Use of Manipulatives and Around Computational Thinking, we led a workshop for members to get to grips with AR manipulatives on their own devices. Using GeoGebra 3D Calculator with AR (henceforth GeoGebra 3D/AR), we designed seven AR manipulatives and associated tasks, two of which were interactively ‘walked through’ during the workshop. In this article, we present an established framework for AR manipulatives, discuss how these manipulatives may be used to support mathematical thinking, consider the affordances and limitations of these new tools, and briefly cover the range of curriculum-aligned AR tasks we have created. These AR manipulatives and tasks are freely available within an online booklet we created for the conference: http://bit.ly/ATMWS. We conclude by looking at what the future might hold for this exciting and innovative technology.
Type: | Article |
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Title: | Augmented reality manipulatives: New mathematical tools for classrooms |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.atm.org.uk/Mathematics-Teaching-Journa... |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10177480 |
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