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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References
Oblinger, D., Campbell, J.P.: Academic analytics. Educause (2007)
Campbell, J.P., DeBlois, P.B., Oblinger, D.G.: Academic analytics: A new tool for a new era. Educause Review 42(4), 40–57 (2007)
Tversky, B., Morrison, J.B., Betrancourt, M.: Animation: Can It Facilitate? International Journal Human-Computer Studies, 247–262 (2002)
Battista, V., Cheng, E.: Motion Charts: Telling Stories with Statistics. In: JSM Proceedings, Statistical Computing Section, pp. 4473–4483. American Statistical Association, Alexandria (2011)
Al-Aziz, J., Christou, N., Dinov, I.D.: SOCR Motion Charts: An Efficient, Open-source. Interactive and Dynamic Applet for Visualizing Longitudinal Multivariate Data Journal of Statistics Education 18(3) (2010)
Heer, J., Robertson, G.: Animated Transitions in Statistical Data Graphics. IEEE Transactions on Visualization and Computer Graphics, 1240–1247 (2007)
Few, S.: Visualizing Change: An Innovation in Time-Series Analysis. In: Visual Business Intelligence Newsletter, White paper SAS (2007)
Géryk, J., Popelínský, L.: Visual Analytics for Increasing Efficiency of Higher Education Institutions. In: Proceedings of the 6th Workshop on Applications of Knowledge-Based Technologies in Business (accepted 2014)
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© 2014 Springer International Publishing Switzerland
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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
Online ISBN: 978-3-319-11200-8
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