Abstract
| Original language | English |
|---|---|
| Pages | 1-6 |
| Number of pages | 6 |
| Publication status | Published - 5 Aug 2019 |
| Event | 7th IEEE International Conference on Serious Games and Applications for Health - Kyoto, Japan Duration: 5 Aug 2019 → 7 Aug 2019 Conference number: 7th http://www.segah.org/2019/index.html |
Conference
| Conference | 7th IEEE International Conference on Serious Games and Applications for Health |
|---|---|
| Abbreviated title | SeGAH 2019 |
| Country | Japan |
| City | Kyoto |
| Period | 5/08/19 → 7/08/19 |
| Internet address |
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, Kyoto, Japan.
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, Kyoto, Japan, 5/08/19 - 7/08/19, pp. 1-6.
Piloting Multimodal Learning Analytics using Mobile Mixed Reality in Health Education. / Birt, James R.; Clare, Darryl; Cowling, Michael A.
2019. 1-6 Paper presented at 7th IEEE International Conference on Serious Games and Applications for Health, Kyoto, Japan.
Research output: Contribution to conference › Paper › Research › peer-review
TY - CONF
T1 - Piloting Multimodal Learning Analytics using Mobile Mixed Reality in Health Education
AU - Birt, James R.
AU - Clare, Darryl
AU - Cowling, Michael A.
PY - 2019/8/5
Y1 - 2019/8/5
N2 - 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.
AB - 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.
M3 - Paper
SP - 1
EP - 6
ER -
, Kyoto, Japan.