Visualization of Enrollment Data using Chord Diagrams

Laia Blasco-Soplón, Josep Grau-Valldosera, Julià Minguillón

2015

Abstract

Distance and online universities have usually more flexible academic requirements than brick-and-mortar ones, so students do not uniformly advance within the programme they enroll into as they are supposed to. Furthermore, due to their intrinsic nature, distance students need additional support for deciding which subjects they will take every semester. On the other hand, teachers have usually no idea about what other subjects are taking the students enrolled in their subjects. This paper proposes the use of chord diagrams for visualizing the relationships between pairs of subjects taken by students, with the aim of providing both university managers and students with a clear picture of possible bottlenecks, that is, combinations of subjects that might affect students’ performance. Chord diagrams can be used to analyze intra-semester data (subjects taken simultaneously) and inter-semester data (sequences of subjects taken by students) and provide a fast overview of what is happening within a given programme at subject level. Furthermore, it is possible to interact with chord diagrams in order to filter and obtain additional subject details if desired.

References

  1. Bostock, M., Ogievetsky, V., and Heer, J. (2011). D3 datadriven documents. IEEE Transactions on Visualization and Computer Graphics, 17(12):2301-2309.
  2. Campbell, J., DeBlois, P., and Oblinger, D. (2007). Academic analytics: A new tool for a new era of educational research. EUCAUSE Review, 42(4):40-57.
  3. Card, S. K., Mackinlay, J. D., and Shneiderman, B. (1999). Readings in information visualization - using vision to think. Academic Press.
  4. Draper, G. M., Livnat, Y., and Riesenfeld, R. F. (2009). A Survey of Radial Methods for Information Visualization. IEEE Transactions on Visualization and Computer Graphics, 15(5):759-776.
  5. Gómez-Aguilar, D. A., Suárez-Guerrero, C., TheronSánchez, R., and García-Pen˜alvo, F. (2010). Visual analytics to support e-learning. In Advances in Learning Processes.
  6. Grau-Valldosera, J. and Minguillón, J. (2014). Rethinking dropout in online higher education: The case of the universitat oberta de catalunya. The International Review of Research in Open and Distance Learning, 15(1).
  7. Holten, D. (2006). Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data. IEEE Transactions on Visualization and Computer Graphics, 12(5):741-748.
  8. Kiernan, M., Woodroffe, M., and Thomas, P. (2004). Open 24/7: The journey from e-user to e-learner. In Nall, J. and Robson, R., editors, Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2004, pages 95- 97, Washington, DC, USA. AACE.
  9. McCandless, D. (2009). Information is beautiful. Collins, London.
  10. Park, J.-H. and Choi, H. J. (2009). Factors influencing adult learners' decision to drop out or persist in online learning. Educational Technology & Society, 12(4):207- 217.
  11. Sacín, C. V., Chue, J., Peche, J. P., Alvarado, G., Vinatea, B., Estrella, J., and Ortigosa, A. (2011). A data mining approach to guide students through the enrollment process based on academic performance. User Modeling and User-Adapted Interaction, 21(1-2):217-248.
  12. Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. In Proceedings of the IEEE Symposium on Visual Languages, pages 336-343.
  13. Siraj, F. and Abdoulha, M. A. (2009). Uncovering hidden information within university's student enrollment data using data mining. In Al-Dabass, D., Triweko, R., Susanto, S., and Abraham, A., editors, Asia International Conference on Modelling and Simulation, pages 413-418. IEEE Computer Society.
  14. Tyler-Smith, K. (2006). Early attrition among first time elearners: A review of factors that contribute to dropout, withdrawal and non-completion rates of adult learners undertaking elearning programmes. Journal of Online Learning and Teaching, 2(2).
  15. Yau, N. (2011). Visualize This: The FlowingData Guide to Design, Visualization, and Statistics. John Wiley & Sons.
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Paper Citation


in Harvard Style

Blasco-Soplón L., Grau-Valldosera J. and Minguillón J. (2015). Visualization of Enrollment Data using Chord Diagrams . In Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015) ISBN 978-989-758-087-1, pages 511-516. DOI: 10.5220/0005360505110516


in Bibtex Style

@conference{grapp15,
author={Laia Blasco-Soplón and Josep Grau-Valldosera and Julià Minguillón},
title={Visualization of Enrollment Data using Chord Diagrams},
booktitle={Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015)},
year={2015},
pages={511-516},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005360505110516},
isbn={978-989-758-087-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015)
TI - Visualization of Enrollment Data using Chord Diagrams
SN - 978-989-758-087-1
AU - Blasco-Soplón L.
AU - Grau-Valldosera J.
AU - Minguillón J.
PY - 2015
SP - 511
EP - 516
DO - 10.5220/0005360505110516