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Using Instruction Strategy for a Web-Based Intelligent Tutoring System

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Technologies for E-Learning and Digital Entertainment (Edutainment 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3942))

Abstract

In this paper, we present the architecture and function of a Web-based Intelligent Tutoring System (ITS), which incorporates decision tree and fuzzy matching for instruction strategy. ITS contains following components: information collecting system, learner profile analysis system, strategy matching system and strategy updating system; using domain knowledge base, web log base, learner model base and instruction strategy base . The system analyzes learning models of different users and applies different instruction strategies to meet personalized requirements.

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References

  1. Jing, Y., Zhong, S., Cheng, X.: Teaching Modes and Supporting Platforms in Modern Distance Education. In: CACS 2003, Luton (2003)

    Google Scholar 

  2. Jing, Y., Zhong, S.: Design of Intelligent Tutoring System Based on Internet. Journal of Guangxi Normal University 22, 19–23 (2004)

    Google Scholar 

  3. Brusilovsky, P., Schwarz, E., Weber, G.: ELM-ART: An Intelligent Tutoring Tystem on World Wide Web. In: Lesgold, A.M., Frasson, C., Gauthier, G. (eds.) ITS 1996. LNCS, vol. 1086, pp. 261–269. Springer, Heidelberg (1996)

    Google Scholar 

  4. Zhong, S., Jing, Y., Zhong, Y.: The Research on Resources and Software on Integration of Information Technology and Courses. In: 2005 International Conference on Active Media Technology, Japan, pp. 169–172 (2005)

    Google Scholar 

  5. Simic, G., Devedzic, V.: Building an Intelligent System Using Modern Internet Technologies. Expert Systems with Application, 231–246 (2003)

    Google Scholar 

  6. Hatzilygeroudis, I., Prentzas, J.: Using a Hybrid Rule-Based Approach in Developing an Intelligent Tutoring System with Knowledge Acquisition and Update Capabilities. In: The 6th International Conference on Intelligent Tutoring Systems, Biarritz, France, San Sebastian, Spain (2002)

    Google Scholar 

  7. Wang, Y.: Theory and Method of Artificial Intelligence. Xi’an traffic University publishing company (May 1998)

    Google Scholar 

  8. Yi, C., Yi, H.: Artificial Intelligence and Expert System. Chinese Water and Electricity publishing company (January 2001)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Northeast Normal University, Changchun, 130024, P.R. China

    Yongjun Jing, Shaochun Zhong, Jinan Li & Xiaochun Cheng

  2. Laiyang Agriculture College, Qingdao, 266109, P.R. China

    Xin Li

Authors
  1. Yongjun Jing
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  2. Shaochun Zhong
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  3. Xin Li
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  4. Jinan Li
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  5. Xiaochun Cheng
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Editor information

Editors and Affiliations

  1. State Key Lab of CAD&CG, Zhejiang University, 310027, Hangzhou, China

    Zhigeng Pan

  2. School of Mathematical and Computer Sciences, Heriot Watt University, EH14 4AS, Edinburgh, Scotland

    Ruth Aylett

  3. Fraunhofer IGD, Joachim-Jungius-Strasse 11, 18059, Rostock, Germany

    Holger Diener

  4. State Key Lab of CAD&CG, Zhejiang University, 310027, Hangzhou, P.R. China

    Xiaogang Jin

  5. Digital Storytelling Dept, ZGDV e.V., Rundeturmstr. 10, P.O. Box, 64283, Darmstadt, Germany

    Stefan Göbel

  6. School of Management, Shenzhen University, 518060, Shenzhen, P.R. China

    Li Li

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Jing, Y., Zhong, S., Li, X., Li, J., Cheng, X. (2006). Using Instruction Strategy for a Web-Based Intelligent Tutoring System. In: Pan, Z., Aylett, R., Diener, H., Jin, X., Göbel, S., Li, L. (eds) Technologies for E-Learning and Digital Entertainment. Edutainment 2006. Lecture Notes in Computer Science, vol 3942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11736639_18

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  • DOI: https://doi.org/10.1007/11736639_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33423-1

  • Online ISBN: 978-3-540-33424-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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