Piloting Multimodal Learning Analytics using Mobile Mixed Reality in Health Education

James R. Birt, Darryl Clare, Michael A. Cowling

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Abstract

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 six 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.
Original languageEnglish
Title of host publication2019 IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH)
EditorsDuarte Duque, Jeremy White, Nuno Rodrigues, Joao L. Vilaca, Nuno Dias
Pages1-6
Number of pages6
ISBN (Electronic)9781728103006
DOIs
Publication statusPublished - 5 Aug 2019
Event7th IEEE International Conference on Serious Games and Applications for Health
- Kyoto, Kyoto, Japan
Duration: 5 Aug 20197 Aug 2019
Conference number: 7th
http://www.segah.org/2019/index.html

Publication series

Name2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019

Conference

Conference7th IEEE International Conference on Serious Games and Applications for Health
Abbreviated titleSeGAH 2019
CountryJapan
CityKyoto
Period5/08/197/08/19
Internet address

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