Abstract
Academic Analytics facilitate creation of actionable intelligence to enhance learning and student success. Visual Analytics methods like Motion Charts show changes through time by presenting animations within two-dimensional space and by changing element appearances. We present enhanced user interface features of the Visual Analytics tool EDAIME primarily designed for exploratory analysis of Academic Analytics. The tool supports various visualization methods and implements Motion Charts adjusted to academic settings. We also describe rich user interface abilities in detail.
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Géryk, J., Popelínský, L. (2014). Towards Academic Analytics by Means of Motion Charts. In: Rensing, C., de Freitas, S., Ley, T., Muñoz-Merino, P.J. (eds) Open Learning and Teaching in Educational Communities. EC-TEL 2014. Lecture Notes in Computer Science, vol 8719. Springer, Cham. https://doi.org/10.1007/978-3-319-11200-8_47
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DOI: https://doi.org/10.1007/978-3-319-11200-8_47
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11199-5
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