Towards Proximity Tracking and Sensemaking for Supporting Teamwork and Learning

Publication Type:
Conference Proceeding
Citation:
Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017, 2017, pp. 89 - 91
Issue Date:
2017-08-03
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© 2017 IEEE. A large number of learning tools offering some sort of personalisation features rely mainly on the analysis of logged interactions between students and particular user interfaces. Much less attention has been given to the analysis of physical aspects so often present in 'traditional' intellectual tasks, although these are both important in the full development of a life-long learner. This paper (1) discusses existing literature focused on supporting learning using proximity and location analytics and sensors, and, based on this, (2) illustrates the feasibility and potential of these analytics for teaching and learning through an study in the context of proximity and location analytics in a team-based health simulation classroom.
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