An Empirical Study for Integrating Personality Characteristics in Stereotype-Based Student Modelling in a Collaborative Learning Environment for UML

  • Kalliopi Tourtoglou
  • Maria Virvou
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 11)


The aim of this paper is to present an empirical study for defining the appropriate triggers for personality related stereotypes. These stereotypes are used for modelling the students in a Computer Supported Collaborative Learning (CSCL) system for UML. The system builds individual student models to provide adaptive and intelligent advice concerning their knowledge and the most adequate colleagues for collaboration. Most of existing CSCL systems and Intelligent Learning Environments (ILE’s) also include student models. However, the vast majority of them use the student models to describe the students from the perspectives of knowledge and/or participation in collaborative activities. In our approach, the student models additionally to the knowledge describe the students regarding specific personality characteristics related to their learning and collaboration attitudes. The student models are built using the stereotype-based method, which entails the definition of the stereotypes, their facets and the triggers (the triggering conditions for a student to belong to a stereotype). As the definition of the triggers is a task of high importance for the effectiveness and accuracy of the student models, we conducted an empirical study among experienced trainers of software engineering.


Collaboration collaborative learning CSCL stereotypes student modelling UML intelligent learning environment triggers 


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  1. Ardissono, L., Gena, C., Torasso, P., Bellifemine, F., Difino, A., Negro, B.: User modeling and recommendation techniques for electronic program guides. In: Ardissono, L., Kobsa, A., Maybury, M. (eds.) Personalized Digital Television. Targeting Programs to Individual Users. Kluwer Academic Publishers, Dordrecht (2004)Google Scholar
  2. Baghaei, N., Mitrović, A.: COLLECT-UML: Supporting Individual and Collaborative Learning of UML Class Diagrams in a Constraint-Based Intelligent Tutoring System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3684, pp. 458–464. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  3. Chen, W., Pedersen, R.H., Pettersen, Ø.: CoLeMo: A collaborative learning environment for UML modelling. Interactive Learning Environments 14(3), 233–249 (2006)CrossRefGoogle Scholar
  4. Cohen, E.G., Celeste, M., Brody, S.-S.M.: Teaching Cooperative Learning: The Challenge for Teacher Education. State University of New York Press (2004)Google Scholar
  5. Edwards, E., Elliott, J., Bruckman, A.: AquaMOOSE 3D: math learning in a 3D multi-user virtual world. In: CHI 2001 Extended Abstracts on Human Factors in Computing Systems, Seattle, Washington, March 31 - April 05, pp. 259–260. ACM (2001)Google Scholar
  6. Elsom-Cook, M.: Student Modelling in Intelligent Tutoring Systems. Artificial Intelligence Review 7, 227–240 (1993)CrossRefGoogle Scholar
  7. Faraco, R.A., Rosatelli, M.C., Gauthier, F.A.O.: An Approach of Student Modelling in a Learning Companion System. In: Lemaître, C., Reyes, C.A., González, J.A. (eds.) IBERAMIA 2004. LNCS (LNAI), vol. 3315, pp. 891–900. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  8. Gokhale, A.: Collaborative Learning Enhances Critical Thinking. Journal of Technology Education 7(7) (1995)Google Scholar
  9. González, G., López, B., de la Rosa, J.L.: The Emotional Factor: An Innovative Approach to User Modelling for Recommender Systems. In: Workshop on Recommendation and Personalization in e-Commerce, Málaga, Spain, pp. 90–99 (May 2002)Google Scholar
  10. Goren-Bar, D.: Designing model-based intelligent dialogue systems. In: Information Modeling in the New Millennium, pp. 268–284. IGI Publishing, Hershey (2001)Google Scholar
  11. Gustavsson, B., Bäccman, C.: eam-personality: How to use relevant measurements to predict team-performance. Paper presented at the 47th International Military Testing Association, Singapore, November 8-10 (2005)Google Scholar
  12. Hatzilygeroudis, I., Prentzas, J.: Using a Hybrid Rule-Based Approach in Developing an Intelligent Tutoring System with Knowledge Acquisition and Update Capabilities. Journal of Expert Systems with Applications 26(4), 477–492 (2004)CrossRefGoogle Scholar
  13. Heinström, J.: The impact of personality and approaches to learning on information behaviour. Information Research 5(3) (2000)Google Scholar
  14. Jeremic, Z., Jovanovic, J., Gasevic, D.: Evaluating an Intelligent Tutoring System for Design Patterns: the DEPTHS Experience. Educational Technology & Society 12(2), 111–130 (2009)Google Scholar
  15. Kabassi, K., Virvou, M., Tsihrintzis, G.: Requirements Capture for a Personalised Medical Tutor. In: The International Special Topic Conference on Information Technology in Biomedicine (2006)Google Scholar
  16. Kavcic, A.: Fuzzy User Modeling for Adaptation in Educational Hypermedia. IEEE Transactions on Systems, Man, and Cybernetics - part C: Applications and Reviews 34(4), 439–449 (2004)CrossRefGoogle Scholar
  17. Khandaker, N., Soh, L.-K., Jiang, H.: Student Learning and Team Formation in a Structured CSCL Environment. In: Proc. ICCE 2006, Beijing, China, pp. 185–192 (2006)Google Scholar
  18. Lehtinen, E., Hakkarainen, K., Lipponen, L., Rahikainen, M., Muukkonen, H.: Computer supported collaborative learning: A review. The J.H.G.I. Giesbers Reports on Education, Number 10. Department of Educational Sciences. University on Nijmegen (1999)Google Scholar
  19. Ligeza, A.: Logical Foundations for Rule-Based Systems. Springer, Heidelberg (2006)MATHGoogle Scholar
  20. Lukosch, S., Hellweg, M., Rasel, M.: CSCL, Anywhere and Anytime. In: Dimitriadis, Y.A., Zigurs, I., Gómez-Sánchez, E. (eds.) CRIWG 2006. LNCS, vol. 4154, pp. 326–340. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  21. Martínez Carreras, M.A., Gómez-Skarmeta, A.F., Martínez Graciá, E., Mora Gónzalez, M.: COLAB: A platform design for collaborative learning in virtual laboratories. In: Workshop held on the 18th IFIP World Computer Congress (2004)Google Scholar
  22. Reye, J.: Student Modelling Based on Belief Networks. Int. J. Artif. Intell. Ed. 14(1), 63–96 (2004)Google Scholar
  23. Rich, E.: User Modeling via Stereotypes. International Journal of Cognitive Science 3, 329–354 (1979)CrossRefGoogle Scholar
  24. Rich, E.: Users are individuals: Individualizing user models. Journal of Man-machine Studies 18(3), 199–214 (1983)CrossRefGoogle Scholar
  25. Rick, J., Guzdial, M.: Situating CoWeb: a scholarship of application. International Journal of Computer-Supported Collaborative Learning 1, 89–115 (2006)CrossRefGoogle Scholar
  26. Rosatelli, M.C., Self, J.: A Collaborative Case Study System For Distance Learning. International Journal of Artificial Intelligence in Education 14, 1–29 (2004)Google Scholar
  27. Surjono, H.D., Maltby, J.R.: Adaptive educational hypermedia based on multiple student characteristics. In: Zhou, W., Nicholson, P., Corbitt, B., Fong, J. (eds.) ICWL 2003. LNCS, vol. 2783, pp. 442–449. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  28. Tamura, Y., Furukawa, S.: CSCL Environment for “Six Thinking Hats” Discussion. In: Knowledge-Based Intelligent Information and Engineering Systems, pp. 583–589 (2008)Google Scholar
  29. Tsiriga, V., Virvou, M.: Dynamically Initializing the Student Model in a Web-based Language Tutor. In: Proceedings of the 2002 First International IEEE Symposium “Intelligent Systems”, pp. 138–143. IEEE Computer Society, Los Alamitos (2002)CrossRefGoogle Scholar
  30. Virvou, M., Moundridou, M.: Student and instructor models: Two kinds of user model and their interaction in an ITS authoring tool. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) UM 2001. LNCS (LNAI), vol. 2109, p. 158. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  31. Virvou, M., Tsiriga, V.: Student Modelling in a Web-based Algebra Tutor. In: Proceedings of TELEMATICA 2001 International Conference on Telematics and Web-Based Education, pp. 43–44 (2001)Google Scholar
  32. Wei, F., Moritz, S.H., Parvez, S.M., Blank, G.D.: A student model for object-oriented design and programming. J. Comput. Small Coll. 20(5), 260–273 (2005)Google Scholar

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© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Kalliopi Tourtoglou
    • 1
  • Maria Virvou
    • 1
  1. 1.Department of InformaticsUniversity of PiraeusPiraeusGreece

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