Panagiotis D. Ritsos

MEng PhD Essex, FHEA

Senior Lecturer in Visualization

XReality, Visualization and
Analytics (XRVA) Lab

Visualization, Data, Modelling and
Graphics (VDMG) research group,

School of Computer Science
and Engineering,

Bangor University,
Dean Street, Bangor,
Gwynedd, UK, LL57 1UT

Personal Visualisation for Learning

Abstract

Learners have personal data, such as grades, feedback and statistics on how they fair or compare with the class. But, data focusing on their personal learning is lacking, as it does not get updated regularly (being updated at the end of a taught session) and the displayed information is generally a single grade. Consequently, it is difficult for students to use this information to adapt their behavior, and help them on their learning journey. Yet, there is a rich set of data that could be captured and help students learn better. What is required is dynamically, regularly updated personal data, that is displayed to students in a timely way. Such ‘personal data’ can be presented to the student through ‘personal visualizations’ that engender ‘personal learning’. In this paper we discuss our journey into developing learning systems and our resulting experience with learners. We present a vision, to integrate new technologies and visualization solutions, in order to encourage and develop personal learning that employs the visualization of personal learning data.

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Citation

J. C. Roberts, C. Headleand, D. Perkins, and P. D. Ritsos, “Personal Visualisation for Learning,” in Personal Visualization: Exploring Data in Everyday Life Workshop, IEEE Conference on Visualization (VIS), Chicago, IL, USA, 2015.

Bibtex

@inproceedings{Roberts-et-al-Viz4me-VIS2015,
  author = {Roberts, Jonathan C. and Headleand, Chris and Perkins, David and Ritsos, Panagiotis D.},
  title = {Personal Visualisation for Learning},
  editor = {Perin, Charles and Thudt, Alice and Troy, Melanie and Willett, Wesley and Carpendale, Sheelagh},
  booktitle = {Personal Visualization: Exploring Data in Everyday Life Workshop, IEEE Conference on Visualization (VIS), Chicago, IL, USA},
  year = {2015},
  month = oct
}