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The Conceptual Framework for Integration of Multiagent Based Intelligent Tutoring and Personal Knowledge Management Systems in Educational Settings

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Workshops on Business Informatics Research (BIR 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 106))

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Abstract

Requirements of the information age causes new challenges for universities – necessity to change teaching and learning process to ensure that students be able to interpret non-standardized information for problem solving and decision making and have skills of effective turning their knowledge into action which is a requisite that graduates from universities will be innovative and will become so called knowledge workers. The purpose of the paper is to attract educators’ attention to the potential of getting synergy effect from integration of intelligent tutoring and knowledge assessment systems with personal knowledge management systems. The conceptual framework is based on multiagent paradigm and the novel approach how to support student-centered individualized study process using traditional modules of intelligent tutoring systems (ITSs): tutoring, student diagnosis and domain knowledge modules is described. The conception of graph based pedagogical model is given as well as implementation aspects of two systems (a part of the framework) – the intelligent tutoring system MIPITS and the intelligent knowledge assessment system IKAS are overviewed.

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References

  1. Apshvalka, D., Grundspenkis, J.: Making Organizations to Act More Intelligently in the Framework of the Organizational Knowledge Management System. In: Scientific Proceedings of Riga Technical University. 5th Series, Computer Science, Applied Computer Systems, vol. 17, pp. 72–82. RTU Publishing House, Riga (2003)

    Google Scholar 

  2. Nonaka, I., Takeuchi, H.: Knowledge Creating Organizations. Oxford University Press, New York (1995)

    Google Scholar 

  3. Anohina, A.: Analysis of the Terminology used in the Field of Virtual Learning. Journal of Educational Technology & Society 8, 91–102 (2005)

    Google Scholar 

  4. Computer Assisted Assessment. Using Computers to Design and Deliver Objective Tests, http://etudeedl.free.fr/annexes/assess.pdf

  5. Lukashenko, R., Anohina, A.: Knowledge Assessment Systems: An Overview. In: Scientific Proceedings of Riga Technical University. 5th series, Computer Science, Applied Computer Systems, vol. 38, pp. 25–36. RTU Publishing House, Riga (2009)

    Google Scholar 

  6. da Rocha, F.E.L., da Costa Jr., J.V., Favero, E.L.: An Approach to Computer-Aided Learning Assessment. In: Third International Conference on Concept Mapping, Tallinn and Helsinki, September 22-25, pp. 170–177 (2003)

    Google Scholar 

  7. Grundspenkis, J.: MIPITS and IKAS – Two Steps towards Truly Intelligent Tutoring System Based on Integration of Knowledge Management and Multiagent Techniques. In: International Conference on e-Learning and the Knowledge Society (e-Learning 2010), Riga, Latvia, August 26-27, pp. 22–39. JUMI, Riga (2010)

    Google Scholar 

  8. Brusilovsky, P., Peylo, C.: Adaptive and Intelligent Web-Based Educational Systems. International Journal of Artificial Intelligence in Education 13(2-4), 156–169 (2003)

    Google Scholar 

  9. Kirikova, M., Grundspenkis, J.: Towards Knowledge Management Oriented Information System: Supporting Research Activities at the Technical University. In: Magyar, G., Knapp, G., Wojkowski, W., Wojkowski, W.G., Zupančič, J. (eds.) Advances in Information Systems Development: New Methods and Practice for the Networked Society, vol. 1, pp. 135–145. Springer US (2007)

    Google Scholar 

  10. Lincke, D.-M., Shmidt, B., Schubert, P., Selz, D.: The NetAcademy – A Novel Approach to Domain-Specific Scientific Knowledge Accumulation, Dissemination, and Review. In: Thirty-First Annual Hawaii International Conference on System Sciences, vol. 2, pp. 131–140. IEEE Computer Society, Washington, DC, USA (1998)

    Chapter  Google Scholar 

  11. Zhao, Z., Belloum, A., Sloot, P., Hertzberger, B.: Agent Technology and Scientific Workflow Management in an E-Science Environment. In: 17th IEEE International Conference on Tools with Artificial Intelligence, Hong Kong, China, November 14-16, pp. 19–23. IEEE Computer Society (2005)

    Google Scholar 

  12. Chu, H.-C., Chen, Y.-M., Wen, C.-C.: A Knowledge Management Framework for Case-Based E-Learning. In: Nunes, M., McPherson, M. (eds.) IADIS International Conference e-Learning 2008, Amsterdam, The Netherlands, July 22-25, pp. 68–75 (2008)

    Google Scholar 

  13. Brooking, A.: Corporate Memory: Strategies for Knowledge Management. International Thomson Business Press, London (1999)

    Google Scholar 

  14. Walsh, J.P., Ungson, G.R.: Organizational Memory. Academy of Management Review 16(1), 57–91 (1991)

    Google Scholar 

  15. Grundspenkis, J.: Concepts of Organizations, Intelligent Agents, Knowledge, Learning and Memories: Towards an Inter-Disciplinary Knowledge Management. In: Wang, K., Grundspenkis, J., Yerofeyev, A. (eds.) Applied Computational Intelligence to Engineering and Business, pp. 172–191. RTU Publishing House, Riga (2001)

    Google Scholar 

  16. Tiwana, A.: The Knowledge Management Toolkit, 2nd edn. Prentice-Hall, New-Jersey (2002)

    Google Scholar 

  17. Maier, R.: Knowledge Management Systems. Springer, Heidelberg (2004)

    Google Scholar 

  18. Apshvalka, D.: Personal Knowledge Management. In: Remenyi, D. (ed.) 11th European Conference on Information Technology Education (ECITE), Amsterdam, Netherlands, November 11-12, pp. 17–22 (2004)

    Google Scholar 

  19. Tsui, E.: Technologies for Personal and Peer-to-Peer (P2P) Knowledge Management. CSC Leading Edge Forum Technology Grant report (2002)

    Google Scholar 

  20. Barth, S.: The Power of One. In: Knowledge Management Magazine, http://www.quantum3.co.za/KMM%20Article%20Dec2000.htm

  21. Carbonell, J.R.: AI and CAI: An Artificial Intelligence Approach to Computer Assisted Instruction. IEEE Transactions on Man-Machine Systems 11(4), 190–202 (1970)

    Article  Google Scholar 

  22. Grundspenkis, J., Anohina, A.: Agents in Intelligent Tutoring Systems: State of the Art. In: Scientific Proceedings of Riga Technical University. 5th series, Computer Science, Applied Computer Systems, vol. 22, pp. 110–121. RTU Publishing House, Riga (2005)

    Google Scholar 

  23. Grundspenkis, J.: Conceptual Framework for Integration of Multiagent and Knowledge Management Techniques in Intelligent Tutoring Systems. In: Vasilecas, O., et al. (eds.) Information Systems Development. Advances in Theory, Practice, and Education, pp. 207–216. Springer Science + Business Media (2005)

    Google Scholar 

  24. Lavendelis, E., Grundspenkis, J.: MASITS Methodology Supported Development of Agent Based Intelligent Tutoring System MIPITS. In: Filipe, J., Fred, A., Sharp, B. (eds.) ICAART 2010. CCIS, vol. 129, pp. 119–132. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  25. Anohina, A., Grundspenkis, J.: Prototype of Multiagent Knowledge Assessment System for Support of Process Oriented Learning. In: 7th International Baltic Conference on Databases and Information Systems, Vilnius, Lithuania, July 3-6, pp. 211–219. IEEE Operations Center, Lithuania (2006)

    Google Scholar 

  26. Grundspenkis, J.: Development of Concept Map Based Adaptive Knowledge Assessment System. In: IADIS International Conference on e-Learning, Amsterdam, The Netherlands, July 22-25, pp. 395–402 (2008)

    Google Scholar 

  27. Grundspenkis, J.: Concept Maps as Knowledge Assessment Tool: Results of Practical Use of Intelligent Knowledge Assessment System. In: IADIS International Conference “Cognition and Exploratory Learning in Digital Age” (CELDA 2009), Rome, November 20-22, pp. 258–266. IADIS Press (2009)

    Google Scholar 

  28. Grundspenkis, J.: Intelligent Agents and Knowledge Management Perspectives for the Development of Intelligent Tutoring Systems. In: 9th International Conference on Enterprise Information Systems (ICEIS 2007), Funchal, Madeira, Portugal, June 13-16, pp. 380–388 (2007)

    Google Scholar 

  29. Grundspenkis, J.: Knowledge Creation Supported by Intelligent Knowledge Assessment System. In: 12th World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, June 29-July 2, vol. VII, pp. 135–140 (2008)

    Google Scholar 

  30. Knapik, M., Johnson, J.: Developing Intelligent Agents for Distributed Systems. McGraw Hill, New York (1998)

    Google Scholar 

  31. Ellis, C., Wainer, J.: Groupware and Computer Supported Cooperative Work. In: Weiss, G. (ed.) Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence, pp. 425–458. MIT Press, Massachussetts (2002)

    Google Scholar 

  32. Martin, P.: Knowledge Representation, Sharing and Retrieval on the Web. In: Zhong, N., Liu, J., Yao, Y.Y. (eds.) Web Intelligence, pp. 243–276. Springer, Heidelberg (2003)

    Google Scholar 

  33. Zhong, N., Liu, J., Yao, Y.Y. (eds.): Web Intelligence. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  34. Osis, K., Grundspenkis, J.: Advancements in Smartphone Technology and Applications in Personal Knowledge Management. In: International Technology, Education and Development Conference (INTED 2010), Valencia, Spain, pp. 4840–4851 (2010)

    Google Scholar 

  35. Chakraborty, S., Roy, D., Basu, A.: Development of Knowledge Based Intelligent Tutoring System. In: Sajja, P.S., Akerkar, R. (eds.) Advanced Knowledge Based Systems: Model, Applications & Research, vol. 1, pp. 74–100 (2010)

    Google Scholar 

  36. Cardoso, J., Bittencourt, G., Frigo, L.B., Pozzebon, E., Postal, A.: MathTutor: A Multi-agent Intelligent Tutoring System. In: 1st IFIP Conference on AI Applications and Innovations, WCC 2004, Toulouse, France, August 22-27 (2004)

    Google Scholar 

  37. Liegle, J.O., Woo, H.G.: Developing Adaptive Intelligent Tutoring Systems: A General Framework and Its Implementations. In: Proceedings of Information Systems Education Conference (ISECON), Philadelphia, PA (2000)

    Google Scholar 

  38. Anderson, L.W., Krathwohl, D.E., Bloom, B.S.: A Taxonomy for Learning, Teaching and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives [Abridged]. Addison Wesley Longman, New York (2000)

    Google Scholar 

  39. Kamali, R., et al.: A Curriculum Model Based on the SIGITE Guidelines. Journal of Information Technology Education 6, 363–371 (2006)

    Google Scholar 

  40. Novak, J.D.: Learning, Creating, and Using Knowledge: Concept Maps as Facilitative Tools in Schools and Corporations. Lawrence Erlbaum Associates, Mahwah (1998)

    Google Scholar 

  41. Grundspenkis, J.: Usage Experience and Student Feedback Driven Extension of Functionality of Concept Map Based Intelligent Knowledge Assessment System. Communication and Cognition 43(1&2), 1–20 (2010)

    Google Scholar 

  42. Institute of Electrical and Electronics Engineers. Draft Standard for Learning Object Metadata. IEEE 1484.12.1 (2002)

    Google Scholar 

  43. Silveira, R.A., Gomes, E.R., Viccari, R.M.: Intelligent Learning Objects: An Agent Approach to Create Reusable Intelligent Learning Environments with Learning Objects. Springer, Heidelberg (2006)

    Google Scholar 

  44. Lavendelis, E.: Open Multi-agent Architecture and Methodology for Intelligent Tutoring System Development. Doctoral thesis, Riga Technical University, Riga (2009)

    Google Scholar 

  45. Fischer, K., Schillo, M., Siekmann, J.: Holonic Multiagent Systems: A Foundation for the Organisation of Multiagent Systems. In: Mařík, V., McFarlane, D.C., Valckenaers, P. (eds.) HoloMAS 2003. LNCS (LNAI), vol. 2744, pp. 71–80. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  46. Ruiz-Primo, M.A., Shavelson, R.J.: Problems and Issues in the Use of Concept Maps in Science Assessment. Journal of Research in Science Teaching 33(6), 569–600 (1996)

    Article  Google Scholar 

  47. Lukashenko, R., Grundspenkis, J.: A Conception of Agents-Based User Modelling Shell for Intelligent Knowledge Assessment System. In: IADIS International Conference e-Learning 2009, Algarve, Portugal, June 17-20, pp. 98–104 (2009)

    Google Scholar 

  48. Kobsa, A.: Generic User Modelling Systems. User Modelling and User-Adaptive Interaction 11(1-2), 49–63 (2001)

    Article  MATH  Google Scholar 

  49. Grundspenkis, J., Graudina, V.: Concept Map Generation from OWL Ontologies. In: 3rd International Conference on Concept Mapping, Tallinn, Estonia, September 22-25, pp. 173–180 (2008)

    Google Scholar 

  50. Graudina, V.: Investigation and Implementation of Integration of Knowledge Cartography Techniques and Intelligent Concept Map-Based Knowledge Assessment System. Doctoral thesis, Riga Technical University, Riga (2011)

    Google Scholar 

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Grundspenkis, J. (2012). The Conceptual Framework for Integration of Multiagent Based Intelligent Tutoring and Personal Knowledge Management Systems in Educational Settings. In: Niedrite, L., Strazdina, R., Wangler, B. (eds) Workshops on Business Informatics Research. BIR 2011. Lecture Notes in Business Information Processing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29231-6_12

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  • DOI: https://doi.org/10.1007/978-3-642-29231-6_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29230-9

  • Online ISBN: 978-3-642-29231-6

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