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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Learning content in mathematics, such as vector geometry, is still predominantly taught in an abstract manner, as the visualization and interaction of three-dimensional problems are limited with classical forms of teaching such as blackboard lessons or exercise sheets. This research article proposes the use of augmented reality (AR) in mathematics education. The proposed approach aims at easing the learning process related to vector geometry currently taught in senior mathematics classes by using intuitive visualization. The article introduces the concept of AR and presents the didactic foundations and the influence on the learning process based on an extensive literature review. Although studies see great potential in the use of AR for teaching mathematics, the method has so far hardly been used in schools. This can be mainly explained by the technological entry barrier of AR and the lack of simple, robust AR applications, in particular for vector geometry. To fill this gap, the authors developed “cleARmaths”, a developed android application for augmented reality-based teaching in vector geometry that allows widespread use. As a didactical concept, some example exercises sessions with the app are proposed, demonstrating how the app could be used in a mathematics classroom. Finally, the app was evaluated in a mathematics class and the results analyzed in a detailed study. It was found by the teacher and students to be beneficial and amusing, demonstrating the potential for AR in mathematics classes.

Details

Title
On the Potential of Augmented Reality for Mathematics Teaching with the Application cleARmaths
Author
Schutera, Stefanie 1 ; Schnierle, Marc 2 ; Wu, Mathilde 1 ; Pertzel, Tim 1 ; Seybold, Jonathan 1 ; Bauer, Patricia 1 ; Teutscher, Dennis 1 ; Raedle, Matthias 3   VIAFID ORCID Logo  ; Heß-Mohr, Natascha 3 ; Röck, Sascha 2 ; Krause, Mathias J 1   VIAFID ORCID Logo 

 Lattice Boltzmann Research Group, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany; [email protected] (S.S.); [email protected] (M.W.); [email protected] (T.P.); [email protected] (J.S.); [email protected] (P.B.); [email protected] (M.J.K.) 
 Virtual Automation Lab, Esslingen University of Applied Sciences, 73728 Esslingen, Germany; [email protected] (M.S.); [email protected] (S.R.) 
 Center of Mass Spectrometry and Optical Spectroscopy, Mannheim University of Applied Sciences, 68163 Mannheim, Germany; [email protected] (M.R.); [email protected] (N.H.-M.) 
First page
368
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
22277102
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2565132137
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.