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A Web-Based Intelligent Tutoring System Using Hybrid Rules as Its Representational Basis

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Book cover Intelligent Tutoring Systems (ITS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2363))

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Abstract

In this paper, we present the architecture and describe the functionality of a Web-based Intelligent Tutoring System (ITS), which uses neurules for knowledge representation. Neurules are a type of hybrid rules integrating symbolic rules with neurocomputing. The use of neurules as the knowledge representation basis of the ITS results in a number of advantages. Part of the functionality of the ITS is controlled by a neurule-based inference engine. Apart from that, the system consists of four other components: the domain knowledge, containing the structure of the domain and the educational content, the user modeling component, which records information concerning the user, the pedagogical model, which encompasses knowledge regarding the various pedagogical decisions, and the supervisor unit that controls the functionality of the whole system. The system focuses on teaching Internet technologies.

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References

  1. Angelides, M., Garcia, I.: Towards an Intelligent Knowledge Based Tutoring System for Foreign Language Learning. Journal of Computing and Information Technology 1 (1993) 15–28.

    Google Scholar 

  2. Brusilovsky, P., Kobsa, A., Vassileva, J. (Eds.): Adaptive Hypertext and Hypermedia. Kluwer Academic Publishers, Dordrecht, Netherlands (1998).

    Google Scholar 

  3. Georgouli, K.: Modelling a Versatile Mathematical Curriculum for Low-attainers. Proceedings of the 8th Panhellenic Conference in Informatics (2001) 463–472.

    Google Scholar 

  4. Hatzilygeroudis, I., Prentzas, J.: Neurules: Improving the Performance of Symbolic Rules. International Journal on Artificial Intelligence Tools 9 (2000) 113–130.

    Article  Google Scholar 

  5. Hatzilygeroudis, I., Prentzas, J.: Constructing Modular Hybrid Knowledge Bases for Expert Systems. International Journal on Artificial Intelligence Tools 10 (2001) 87–105.

    Article  Google Scholar 

  6. Hatzilygeroudis, I., Prentzas, J.: An Efficient Hybrid Rule Based Inference Engine with Explanation Capability. Proceedings of the 14th International FLAIRS Conference. AAAI Press (2001)227–231.

    Google Scholar 

  7. Magoulas, G.D., Papanikolaou, K.A., Grigoriadou, M.: Neuro-fuzzy Synergism for Planning the Content in a Web-based Course. Informatica 25 (2001) 39–48.

    MATH  Google Scholar 

  8. Martin, J., VanLehn, K.: Student assessment using Bayesian nets. International Journal of Human-Computer Studies 42 (1995) 575–591.

    Article  Google Scholar 

  9. Nkambou, R.: Using Fuzzy Logic in ITS-Course Generation. Proceedings of the 9th IEEE International Conference on Tools With Artificial Intelligence. IEEE Computer Society Press (1997) 190–194.

    Google Scholar 

  10. Shiri, M. E., Aimeur, E., Frassen, C.: Student Modelling by Case-Based Reasoning. In Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds.): Fourth International Conference on Intelligent Tutoring Systems. Lecture Notes in Computer Science, Vol. 1452. Springer-Verlag, Berlin (1998) 394–404.

    Google Scholar 

  11. Solomos, K., Avouris, N.: Learning from Multiple Collaborating Intelligent Tutors: An Agent-Based Approach. Journal of Interactive Learning Research 10 (1999) 243–262.

    Google Scholar 

  12. Stern, M., Woolf, B.: Curriculum Sequencing in a Web-based Tutor. In: Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds.): Fourth International Conference on Intelligent Tutoring Systems. Lecture Notes in Computer Science, Vol. 1452. Springer-Verlag, Berlin (1998) 574–583.

    Google Scholar 

  13. Vassileva, J.: Dynamic Courseware Generation. Journal of Computing and Information Technology 5 (1997) 87–102.

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Engineering Dept of Computer Engin. & Informatics, University of Patras, 26500, Patras, Hellas, Greece

    Jim Prentzas

  2. Computer Technology Institute, P.O. Box 1122, 26110, Patras, Hellas, Greece

    Ioannis Hatzilygeroudis & John Garofalakis

Authors
  1. Jim Prentzas
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  2. Ioannis Hatzilygeroudis
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  3. John Garofalakis
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Editor information

Editors and Affiliations

  1. LIRMM, University of Montpellier II and CNRS, Montpellier, France

    Stefano A. Cerri

  2. LIUPPA, IUT de Bayonne - University of Pau, Bayonne, France

    Guy Gouardères

  3. Department of Information Technologies, Universidade Federal de Alagoas, Maceió, Brazil

    Fàbio Paraguaçu

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© 2002 Springer-Verlag Berlin Heidelberg

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Prentzas, J., Hatzilygeroudis, I., Garofalakis, J. (2002). A Web-Based Intelligent Tutoring System Using Hybrid Rules as Its Representational Basis. In: Cerri, S.A., Gouardères, G., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2002. Lecture Notes in Computer Science, vol 2363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47987-2_16

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  • DOI: https://doi.org/10.1007/3-540-47987-2_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43750-5

  • Online ISBN: 978-3-540-47987-1

  • eBook Packages: Springer Book Archive

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