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Piloting multimodal learning analytics using mobile mixed reality in health education

conference contribution
posted on 27.03.2020, 00:00 by J Birt, Darryl Clare, Michael Cowling
© 2019 IEEE. Mobile mixed reality has been shown to increase higher achievement and lower cognitive load within spatial disciplines. However, traditional methods of assessment restrict examiners ability to holistically assess spatial understanding. Multimodal learning analytics seeks to investigate how combinations of data types such as spatial data and traditional assessment can be combined to better understand both the learner and learning environment. This paper explores the pedagogical possibilities of a smartphone enabled mixed reality multimodal learning analytics case study for health education, focused on learning the anatomy of the heart. The context for this study is the first loop of a design based research study exploring the acquisition and retention of knowledge by piloting the proposed system with practicing health experts. Outcomes from the pilot study showed engagement and enthusiasm of the method among the experts, but also demonstrated problems to overcome in the pedagogical method before deployment with learners.

History

Editor

Duque D; White J; Rodrigues N; Vilaça JL; Dias N

Start Page

1

End Page

6

Number of Pages

6

Start Date

05/08/2019

Finish Date

07/08/2019

eISSN

2573-3060

ISSN

2330-5649

ISBN-13

9781728103006

Location

Kyoto, Japan

Publisher

IEEE

Place of Publication

PIscataway, NJ.

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Bond University

Era Eligible

Yes

Name of Conference

7th IEEE International Conference on Serious Games and Applications for Health (SeGAH 2019)

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