Advertisement

New Opportunities with Open Learner Models and Visual Learning Analytics

  • Judy Kay
  • Susan BullEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9112)

Abstract

This paper compares approaches to visualising data for users in educational settings, contrasting visual learning analytics and open learner models. We consider the roots of each, and identify how each field can learn from experiences and approaches of the other, thereby benefiting both.

Keywords

Open learner model OLM Visual learning analytics VLA 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bull, S., Johnson, M., Masci, D., Biel, C.: Integrating and visualising diagnostic information for the benefit of learning. In: Reimann, P., Bull, S., Kickmeier-Rust, M., Vatrapu, R., Wasson, B. (eds.) Measuring and Visualizing Learning in the Information-Rich Classroom, Routledge/Taylor and Francis (in press)Google Scholar
  2. 2.
    Bull, S., Kay, J.: Open learner models. In: Nkambou, R., Bordeau, J., Mizoguchi, R. (eds.) Advances in Intelligent Tutoring Systems. Studies in Computational Intelligence, vol. 308, pp. 301–322. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  3. 3.
    Bull, S., Kickmeier-Rust, M., Vatrapu, R.K., Johnson, M.D., Hammermueller, K., Byrne, W., Hernandez-Munoz, L., Giorgini, F., Meissl-Egghart, G.: Learning, Learning Analytics, Activity Visualisation and Open Learner Model: Confusing? In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds.) EC-TEL 2013. LNCS, vol. 8095, pp. 532–535. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  4. 4.
    Bull, S., Mabbott, A., Abu Issa, A.: UMPTEEN: Named and Anonymous Learner Model Access for Instructors and Peers. International Journal of Artificial Intelligence in Education 17(3), 227–253 (2007)Google Scholar
  5. 5.
    Bull, S, Wasson, B., Kickmeier-Rust, M., Johnson, M.D., Moe, E., Hansen, C., Meissl-Egghart, G., Hammermueller, K.: Assessing english as a second language: from classroom data to a competence-based open learner model. In: Biswas, G. et al. (eds.) International Conference on Computers in Education, APSCE (2012)Google Scholar
  6. 6.
    Conejo, R., Trella, M., Cruces, I., Garcia, R.: INGRID: A Web Service Tool for Hierarchical Open Learner Model Visualization. In: Ardissono, L., Kuflik, T. (eds.) Advances in User Modeling. LNCS, vol. 7138, pp. 406–409. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  7. 7.
    Demarais, M.C., Baker, R.S.J.D.: A Review of Recent Advances in Learner and Skill Modeling in Intelligent Environments. UMUAI 22, 9–38 (2012)Google Scholar
  8. 8.
    Durall, E., Gros, B.: Learning analytics as a metacognitive tool. In: Proceedings of 6th International Conference on Computer Supported Education (CSEDU), 380-384 (2014)Google Scholar
  9. 9.
    Ferguson, R.: Learning Analytics: Drivers, Developments and Challenges. International Journal of Technology Enhanced Learning 4(5/6), 304–317 (2012)CrossRefGoogle Scholar
  10. 10.
    Johnson, M.D., Cierniak, G., Hansen, C., Bull, S., Wasson, B., Biel, C., Debus, K.: Teacher approaches to adopting a competency based open learner model. In: Wong, L.-H. et al. (eds), International Conference on Computers in Education. APSCE (2013)Google Scholar
  11. 11.
    Kalz, M.: Lifelong Learning and its Support with new Technologies. In: Smelser, N.J., Baltes, P.B. (eds.) International Encyclopedia of the Social and Behavioral Sciences. Pergamon, Oxford (2014). http://dspace.ou.nl/handle/1820/5321 Google Scholar
  12. 12.
    Kay, J.: Learner know thyself: student models to give learner control and responsibility. In: International Conference on Computers in Education, AACE, pp. 17–24 (1997)Google Scholar
  13. 13.
    Kay, J., Kummerfeld, B.: Creating Personalized Systems that People can Scrutinize and Control: Drivers, principles and experience. ACM Transactions on Interactive Intelligent Systems (TiiS) 2(4), 24 (2012)Google Scholar
  14. 14.
    Kerly, A., Bull, S.: Children’s Interactions with Inspectable and Negotiated Learner Models. In: Woolf, B.P., A\”ımeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 132–141. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  15. 15.
    Klerkx, J., Verbert, K., Duval, E.: Enhancing Learning with Visualization Techniques. In: Spector, J.M., Merrill, M.D., Elen, J., Bishop, M.J. (eds.) Handbook of Research on Educational Communications and Technology, pp. 791–807. Springer, New York (2014)CrossRefGoogle Scholar
  16. 16.
    Long, Y., Aleven, V.: Supporting Students’ Self-Regulated Learning with an Open Learner Model in a Linear Equation Tutor. In: Lane, H., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS, vol. 7926, pp. 219–228. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  17. 17.
    Mitrovic, A., Martin, B.: Evaluating the Effect of Open Student Models on Self-Assessment. International Journal of Artificial Intelligence in Education 17(2), 121–144 (2007)Google Scholar
  18. 18.
    Perez-Marin, D., Alfonseca, E., Rodriguez, P., Pascual-Neito, I.: A Study on the Possibility of Automatically Estimating the Confidence Value of Students’ Knowledge in Generated Conceptual Models. Journal of Computers 2(5), 17–26 (2007)CrossRefGoogle Scholar
  19. 19.
    Tervakari, A.M., Silius, K., Koro, J., Paukkeri, J., Pirttilä, O.: Usefulness of information visualizations based on educational data. In: IEEE Global Engineering Education Conference (EDUCON), pp. 142–151. IEEE (2014)Google Scholar
  20. 20.
    Upton, K., Kay, J.: Narcissus: Group and Individual Models to Support Small Group Work. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) User Modeling, Adaptation and Personalization. Lecture Notes in Computer Science, vol. 5535, pp. 54–65. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  21. 21.
    Verbert, K., Duval, E., Klerkx, J., Govaerts, S., Santos, J.L.: Learning Analytics Dashboard Applications. American Behavioral Scientist 57(10), 1500–1509 (2013)CrossRefGoogle Scholar
  22. 22.
    Zapata-Rivera, J.D., Greer, J.E.: Interacting with Inspectable Bayesian Models. International Journal of Artificial Intelligence in Education 14, 127–163 (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Information TechnologiesUniversity of SydneySydneyAustralia
  2. 2.Electronic, Electrical and Systems EngineeringUniversity of BirminghamBirminghamUK

Personalised recommendations