Tracing physical movement during practice-based learning through Multimodal Learning Analytics
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
In this paper, we pose the question, can the tracking and analysis of the physical movements of students and teachers within a Practice-Based Learning (PBL) environment reveal information about the learning process that is relevant and informative to Learning Analytics (LA) implementations? Using the example of trials conducted in the design of a LA system, we aim to show how the analysis of physical movement from a macro level can help to enrich our understanding of what is happening in the classroom. The results suggest that Multimodal Learning Analytics (MMLA) could be used to generate valuable information about the human factors of the collaborative learning process and we propose how this information could assist in the provision of relevant supports for small group work. More research is needed to confirm the initial findings with larger sample sizes and refine the data capture and analysis methodology to allow automation.
Originalsprog | Engelsk |
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Titel | LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference : Understanding, Informing and Improving Learning with Data |
Antal sider | 2 |
Forlag | ACM Association for Computing Machinery |
Publikationsdato | 13 mar. 2017 |
Sider | 588-589 |
ISBN (Elektronisk) | 9781450348706 |
DOI | |
Status | Udgivet - 13 mar. 2017 |
Eksternt udgivet | Ja |
Begivenhed | 7th International Conference on Learning Analytics and Knowledge, LAK 2017 - Vancouver, Canada Varighed: 13 mar. 2017 → 17 mar. 2017 |
Konference
Konference | 7th International Conference on Learning Analytics and Knowledge, LAK 2017 |
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Land | Canada |
By | Vancouver |
Periode | 13/03/2017 → 17/03/2017 |
Navn | ACM International Conference Proceeding Series |
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ID: 256266315