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Creating Collaborative Learning Groups in Intelligent Tutoring Systems

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8733)

Abstract

Intelligent Tutoring Systems offer an attractive learning environment where learning process is adapted to students’ needs and preferences. More than 20 years of academic research demonstrates that learning in groups is more effective than learning individually. Therefore, it is motivating to work out procedure allowing a collaborative learning in Intelligent Tutoring Systems. In this paper original algorithm for creating collaborative learning groups is proposed. The research showed that students working in groups (generated by the proposed algorithm) achieved 18% better results than students working in randomly generated groups. It proves the effectiveness of the proposed algorithm and demonstrates that creating suitable learning groups is very important.

Keywords

  • Collaborative Learning
  • Intelligent Tutoring System
  • Learner Profile
  • Educational Agent
  • Distance Learning Environment

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This research was financially supported by the Polish Ministry of Science and Higher Education.

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References

  1. Aleven, V., Belenky, D.M., Olsen, J.K., Ringenberg, M., Rummel, N., Sewall, J.: Authoring Collaborative Intelligent Tutoring Systems. In: Looi, C.-K., Walker, E. (eds.) Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, Memphis, USA (2013)

    Google Scholar 

  2. Biedrycki, A.: The modular organization of learning content in e-learning training system Koszalin University of Technology, pp. 81–88 (2011) (in Polish)

    Google Scholar 

  3. Chipman, P., Graesser, A.C., Haynes, B.C., Olney, A.: AutoTutor: An intelligent tutoring system with mixed-initiative dialogue. IEEE Transactions in Education 48, 612–618 (2005)

    CrossRef  Google Scholar 

  4. Chou, C.Y., Chan, T.W., Lin, C.J.: Redefining the learning companion: the past, present, and future of educational agents. Computers & Education 40, 255–269 (2003)

    CrossRef  Google Scholar 

  5. Clifford, M.: Facilitating Collaborative Learning: 20 Things You Need to Know From the Pros (2012), http://www.opencolleges.edu.au/informed/features/facilitating-collaborative-learning-20-things-you-need-to-know-from-the-pros/ (last access: April 18, 2014)

  6. Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Engr. Education 78(7), 674–681 (2002)

    Google Scholar 

  7. Garcia, E., Romero, C., Ventura, S.: Data mining in course managements systems: Moodle case study and tutorial. Elsevier Science 51(1), 368–384 (2008)

    Google Scholar 

  8. Graf, S., Leo, T., Viola, S.R.: In-Depth Analysis of the Felder-Silverman Learning Style Dimensions. Journal of Research on Technology in Education 40(1), 79–93 (2007)

    CrossRef  Google Scholar 

  9. ILS Questionnaire, http://www.engr.ncsu.edu/learningstyles/ilsweb.html (last access: March 31, 2014)

  10. Johnson, L., Rickel, J.: STEVE: An animated pedagogical agent for procedural training in virtual environments. Sigart Bulletin 8(1-4), 12–16 (1997)

    CrossRef  Google Scholar 

  11. Koedinger, K.R., Rummel, N., Walker, E.: Integrating collaboration and intelligent tutoring data in evaluation of a reciprocal peer tutoring environment. Res. Practice Tech. Enhanced Learning 4, 221 (2009)

    CrossRef  Google Scholar 

  12. Kozierkiewicz-Hetmańska, A.: A method for scenario recommendation in intelligent e-learning systems. Cybernetics and Systems 42(2), 82–99 (2011)

    CrossRef  Google Scholar 

  13. Kukla, E., Nguyen, N.T., Daniłowicz, C., Sobecki, J., Lenar, M.: A model concep-tion for optimal scenario determination in an intelligent learning system. W: ITSE - International Journal of Interactive Technology and Smart Education 1(3), 171–184 (2004)

    Google Scholar 

  14. Landowska, A.: The role of education agents in distance learning environments, Scientific Papers of the Faculty of Electrical and Control Engineering at Gdańsk University of Technology, No. 25 (2008) (in Polish)

    Google Scholar 

  15. McLaren, B.M., Rummel, N., Tchounikine, P.: Computer Supported Collabo-rative Learning and Intelligent Tutoring Systems, pp. 447–463. Springer, Berlin (2010)

    Google Scholar 

  16. Mutter, S.A., Psotka, J.: Intelligent Tutoring Systems: Lessons Learned, vol. 14(6), pp. 544–545. Lawrence Erlbaum Associates Inc. (1988)

    Google Scholar 

  17. Rybak, A.: Intelligent Multimedia Learning Systems [in Polish], Work realized under the project “Graduate in computer science or mathematics specialist at labor market”, University of Białystok (2009) (in Polish)

    Google Scholar 

  18. Rybak, A.: Examples of remote education systems realizing selection of teaching strategies to learning style of user. In: Dąbrowski, M., Zając, M. (eds.) Foundation for the Promotion and Accreditation of Economic Fields, pp. 127–133 (2010)

    Google Scholar 

  19. Schoenherr, N.: Discovering why study groups are more effective, http://news.wustl.edu/news/Pages/5642.aspx (last access: April 18, 2014)

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Bernacki, J., Kozierkiewicz-Hetmańska, A. (2014). Creating Collaborative Learning Groups in Intelligent Tutoring Systems. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-11289-3_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11288-6

  • Online ISBN: 978-3-319-11289-3

  • eBook Packages: Computer ScienceComputer Science (R0)