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Tracing physical movement during practice-based learning through Multimodal Learning Analytics

Healion, D; Russell, S; Cukurova, M; Spikol, D; (2017) Tracing physical movement during practice-based learning through Multimodal Learning Analytics. In: Wise, A and Winne, PH and Lynch, G and Ochoa, X and Molenaar, I and Dawson, S and Hatala, M, (eds.) LAK '17: Proceedings of the Seventh International Learning Analytics & Knowledge Conference. (pp. pp. 588-589). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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Abstract

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.

Type: Proceedings paper
Title: Tracing physical movement during practice-based learning through Multimodal Learning Analytics
Event: Seventh International Learning Analytics & Knowledge Conference (LAK '17)
ISBN-13: 9781450348706
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3027385.3029474
Publisher version: http://dx.doi.org/10.1145/3027385.3029474
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Practice-based learning; collaborative problem solving; collaborative learning environment; learning analytics; movement
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/1547681
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