Abstract
While many pieces of educational software used in the classroom have been found to positively affect learning, they often are underused by students. Open learning model and social visualization are two approaches which have been helpful in ameliorating that low usage problem. This article introduces a fusion of these two ideas in a form of social progress visualization. A classroom evaluation indicates that this combination may be effective in engaging students, guiding them to suitable content, and enabling faster content access.
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References
Naps, T., Rößling, G., Anderson, J., Cooper, S., Dann, W., Fleischer, R., Koldehofe, B., Korhonen, A., Kuittinen, M., Leska, C., McNally, M., Malmi, J., Rantakokko, J., Ross, R.J.: Evaluating the educational impact of visualization. ACM SIGCSE Bulletin 35(4), 124–136 (2003)
Bull, S., Kay, J.: Student Models That Invite the Learner In: The SMILI() Open Learner Modeling Framework. International Journal of Artificial Intelligence in Education 17(2), 89–120 (2007)
Festinger, L.A.: Theory of social comparison processes. Human Relations 7(2), 117–140 (1954)
Linton, F., Schaefer, H.-P.: Recommender systems for learning: Building user and expert models through long-term observation of application use. User Modeling and User-Adapted Interaction 10(2-3), 181–208 (2000)
Vassileva, J., Sun, L.: Using community visualization to stimulate participation in online communities. e-Service Journal 6(1), 3–39 (2007)
Corbett, A.T., Anderson, J.R.: Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction 4(4), 253–278 (1995)
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)
Zapata-Rivera, J.-D., Greer, J.E.: Interacting with inspectable Bayesian student models. International Journal of Artificial Intelligence in Education 14(1), 1–37 (2004)
Hsiao, I.H., Bakalov, F., Brusilovsky, P., König-Ries, B.: Progressor: Social navigation support through open social student modeling. New Review of Hypermedia and Multimedia 19(2), 112–131 (2013)
Brusilovsky, P., Yudelson, M.V., Hsiao, I.H.: Problem solving examples as first class objects in educational digital libraries: Three obstacles to overcome. Journal of Educational Multimedia and Hypermedia 18(3), 267–288 (2009)
Hsiao, I.H., Sosnovsky, S., Brusilovsky, P.: Guiding students to the right questions: Adaptive navigation support in an e-learning system for Java programming. Journal of Computer Assisted Learning 26(4), 270–283 (2010)
Brusilovsky, P., Sosnovsky, S., Lee, D.H., Yudelson, M.V., Zadorozhny, V., Zhou, X.: An open integrated exploratorium for database courses. In: Proceedings of 13th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), pp. 22–26 (2008)
Loboda, T.D., Brusilovsky, P.: Adaptation in the context of explanatory visualization. In: Dillenbourg, P., Specht, M. (eds.) EC-TEL 2008. LNCS, vol. 5192, pp. 250–261. Springer, Heidelberg (2008)
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Loboda, T.D., Guerra, J., Hosseini, R., Brusilovsky, P. (2014). Mastery Grids: An Open Source Social Educational Progress Visualization. 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_18
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DOI: https://doi.org/10.1007/978-3-319-11200-8_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11199-5
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