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1	Moodoo: Indoor Positioning Analytics for Characterising Classroom Teaching
	Martinez-Maldonado, Roberto; Echeverria, Vanessa; Schulte, Jurgen...
	In: Artificial Intelligence in Education (2020)
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2	Preface to the special issue on learning analytics and personalised support across spaces [<Journal>]
	Martinez-Maldonado, Roberto [Verfasser]; Hernández-Leo, Davinia [Verfasser]; Pardo, Abelardo [Verfasser]
	DNB Subject Category Language
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3	Analysing, visualising and supporting collaborative learning using interactive tabletops
	Martinez Maldonado, Roberto. - : The University of Sydney, 2014. : Faculty of Engineering and Information Technologies, School of Information Technologies, 2014
	Abstract: The key contribution of this thesis is a novel approach to design, implement and evaluate the conceptual and technological infrastructure that captures student’s activity at interactive tabletops and analyses these data through Interaction Data Analytics techniques to provide support to teachers by enhancing their awareness of student’s collaboration. To achieve the above, this thesis presents a series of carefully designed user studies to understand how to capture, analyse and distil indicators of collaborative learning. We perform this in three steps: the exploration of the feasibility of the approach, the construction of a novel solution and the execution of the conceptual proposal, both under controlled conditions and in the wild. A total of eight datasets were analysed for the studies that are described in this thesis. This work pioneered in a number of areas including the application of data mining techniques to study collaboration at the tabletop, a plug-in solution to add user-identification to a regular tabletop using a depth sensor and the first multi-tabletop classroom used to run authentic collaborative activities associated with the curricula. In summary, while the mechanisms, interfaces and studies presented in this thesis were mostly explored in the context of interactive tabletops, the findings are likely to be relevant to other forms of groupware and learning scenarios that can be implemented in real classrooms. Through the mechanisms, the studies conducted and our conceptual framework this thesis provides an important research foundation for the ways in which interactive tabletops, along with data mining and visualisation techniques, can be used to provide support to improve teacher’s understanding about student’s collaboration and learning in small groups.
	Keyword: Classroom; Computer-Supported Collaborative Learning; Educational Data Mining; Human-Computer Interaction; Interactive Tabletops; Learning Analytics
	URL: http://hdl.handle.net/2123/10409
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