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How to Capitalise on Mobility, Proximity and Motion Analytics to Support Formal and Informal Education?
2017
International Conference on Learning Analytics and Knowledge
Learning Analytics and similar data-intensive approaches aimed at understanding and/or supporting learning have mostly focused on the analysis of students' data automatically captured by personal computers or, more recently, mobile devices. Thus, most student behavioural data are limited to the interactions between students and particular learning applications. However, learning can also occur beyond these interface interactions, for instance while students interact face-to-face with other
dblp:conf/lak/MaldonadoSEYP17
fatcat:talqzsbvb5fpnokumm6lz2f6iu