Mining video data: tracking learners for orchestration and design

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Author(s)
Thompson, Kate
Howard, Sarah
Yang, Jie
Ma, Jun
Griffith University Author(s)
Year published
2016
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Show full item recordAbstract
Learning spaces influence how we act, however there is a lack of systemic research addressing the
impact of environments on teaching and learning. In this paper, we introduce a hybrid tracking
technique in which a colour model is combined with algorithms to identify human positions, and
applied to video data. The aim of identifying patterns of movement that could be used to indicate
successful collaboration in open plan learning spaces. We apply the method to a previously
analyzed dataset, to demonstrate how multiple analytic techniques can be used to build a complex
understanding of learner movement in relation to collaboration ...
View more >Learning spaces influence how we act, however there is a lack of systemic research addressing the impact of environments on teaching and learning. In this paper, we introduce a hybrid tracking technique in which a colour model is combined with algorithms to identify human positions, and applied to video data. The aim of identifying patterns of movement that could be used to indicate successful collaboration in open plan learning spaces. We apply the method to a previously analyzed dataset, to demonstrate how multiple analytic techniques can be used to build a complex understanding of learner movement in relation to collaboration and learning. We conclude with suggestions of the ways in which the results could be used by instructors to inform orchestration of complex learning environments, as well as directions for future research.
View less >
View more >Learning spaces influence how we act, however there is a lack of systemic research addressing the impact of environments on teaching and learning. In this paper, we introduce a hybrid tracking technique in which a colour model is combined with algorithms to identify human positions, and applied to video data. The aim of identifying patterns of movement that could be used to indicate successful collaboration in open plan learning spaces. We apply the method to a previously analyzed dataset, to demonstrate how multiple analytic techniques can be used to build a complex understanding of learner movement in relation to collaboration and learning. We conclude with suggestions of the ways in which the results could be used by instructors to inform orchestration of complex learning environments, as well as directions for future research.
View less >
Conference Title
Conference Proceedings 33rd International Conference of Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education. ASCILITE 2016: Show me the learning
Copyright Statement
© 2016 Thompson, K., Howard, S., Yang, J. & Ma, J.. The author(s) assign a Creative Commons by attribution licence enabling others to distribute, remix, tweak, and build upon their work, even commercially, as long as credit is given to the author(s) for the original creation.
Subject
Educational technology and computing
Learning sciences