Abstract
This chapter deals with evaluation of user activities and their participation in collaborative processes realized within the supporting virtual environment. The main goal behind proposed solution is to provide standalone package with all necessary functionalities to obtain data from examined virtual collaborative system in form of logs. For this purpose the following has been designed and implemented: a repository with predefined log format representing source historical data for analyzes; supporting middleware services for proposed analytical approaches; end-user tool for time-line based mirroring and analyses of user activities. These basic functionalities are extended with possibility to extract various summative statistics [10] about performed user activities and possibility to export data in predefined format (e.g. MS Excel) for analyses in third party tools as e.g. IBM SPSS Modeler. Described analytical framework has been designed, implemented and tested mainly within KP-Lab System that represents new interesting application in the domain of virtual environments or e-Learning systems. Proposed architecture was designed as generic platform with possibility to be integrated with other systems such as Moodle or Claroline in order to reflect different user practices.
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Babic, F., Wagner, J., Jadlovská, S., Leško, P.: A logging mechanism for acquisition of real data from different collaborative systems for analytical purposes. In: SAMI 2010: 8th International Symposium on Applied Machine Intelligence and Informatics, Herlany, Slovakia, pp. 109–112. IEEE, Los Alamitos (2010)
Baker, R.S.J.D.: Data Mining for Education. In: McGaw, B., Peterson, P., Baker, E. (eds.) International Encyclopedia of Education, 3rd edn. Elsevier, Oxford (2009)
Card, K.S., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization, using vision to think. Morgan Kaufmann, Cal (1999)
Gomez-Aguilar, D.A., Theron, R., Garcia-Penalvo, F.J.: Semantic spiral timeline as a support for e-learning. Journal of universal Computer Science 15(7), 1526–1545 (2009)
Habala, O., Paralic, M., Bartalos, P., Rozinajova, V.: Semantically-aided Data-aware Service Workflow Composition. In: Nielsen, M., Kucera, A., Miltersen, P.B., Palamidessi, C., Tuma, P., Valencia, F.D. (eds.) SOFSEM 2009. LNCS, vol. 5404, pp. 317–328. Springer, Heidelberg (2009)
Markkanen, H., Holi, M., Benmergui, L., Bauters, M., Richter, C.: The Knowledge Practices Environment: a Virtual Environment for Collaborative Knowledge Creation and Work around Shared Artefacts. In: Luca, J., Weippl, E.R. (eds.) Proceedings of ED-Media 2008, World Conference on Educational Media, Hypermedia and Telecommunications, Vienna, pp. 5035–5040. AACE, Chesapeake (2008)
Mazza, R., Milani, C.: Exploring usage analysis in learning systems: gaining insights from visualisations. In: Workshop on usage analysis in learning systems at 12th international conference on artificial intelligence in education, Amsterdam (2005)
Muehlenbrock, M., Hoppe, U.: Computer supported interaction analysis of group problem solving. In: Proceedings of the Computer Support for Collaborative Learning (CSCL) 1999 Conference, pp. 398–405. Stanford University, Palo Alto (1999)
Lakkala, M., Paavola, S., Kosonen, K., Muukkonen, H., Bauters, M., Markkanen, H.: Main functionalities of the Knowledge Practices Environment (KPE) affording knowledge creation practices in education. In: O’Malley, C., Suthers, D., Reimann, P., Dimitracopoulou, A. (eds.) Computer supported collaborative learning practices: CSCL 2009 conference proceedings, pp. 297–306. International Society of the Learning Sciences (ISLS), Rhodes (2009)
Paralič, J., Babič, F., Wagner, J., Simonenko, E., Spyratos, N., Sukibuchi, T.: Analyses of knowledge creation processes based on different types of monitored data. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) Foundations of Intelligent Systems. LNCS, vol. 5722, pp. 321–330. Springer, Heidelberg (2009)
Van der Aalst, W.M.P., et al.: ProM: The Process Mining Toolkit. In: Proceedings of the BPM 2009 Demonstration Track, Ulm, Germany. CEUR-WS.org, vol. 489 (2009)
Zaïane, O.R., Luo, J.: Towards evaluating learners’ behaviour in a Web-based distance learning environment. In: 2nd IEEE international conference on advanced learning technologies, ICALT 2001 (2001)
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Babič, F., Paralič, J., Bednár, P., Raček, M. (2010). Analytical Framework for Mirroring and Reflection of User Activities in E-Learning Environment. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds) Advances in Multimedia and Network Information System Technologies. Advances in Intelligent and Soft Computing, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14989-4_27
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DOI: https://doi.org/10.1007/978-3-642-14989-4_27
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