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Adaptive Visualization Component of a Distributed Web-Based Adaptive Educational System

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Intelligent Tutoring Systems (ITS 2002)

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

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Abstract

Adaptive visualization is a technology that can enhance the power of program visualization. The idea of adaptive visualization is to adapt the level of details in a visualization to the level of student knowledge about these constructs. This paper presents an adaptive visualization system, WADEIn, that was developed to explore visualization of expression execution during program execution - a under-explored area in visualization research. WADEIn has been designed as a component of our distributed Web-based adaptive educational system KnowledgeTree, however it also can be used as a standalone educational tool. The system has been pilot-tested in the context of a real university course with 40 students and is available on the Web for public use.

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References

  1. Brown, M. H. and Najork, M. A.: Collaborative Active Textbooks: A Web-Based Algorithm Animation System for an Electronic Classroom. In: Proc. of IEEE Symposium on Visual Languages (VL’96), Boulder, CO (1996) 266–275, available online at http://www.research.digital.com/SRC/JCAT/vl96

  2. Brusilovsky, P.: Program visualization as a debugging tool for novices. In: Proc. of INTERCHI’93 (Adjunct proceedings), Amsterdam (1993) 29–30

    Google Scholar 

  3. Brusilovsky, P.: Explanatory visualization in an educational programming environment: connecting examples with general knowledge. In: Blumenthal, B., Gornostaev, J. and Unger, C. (eds.) Human-Computer Interaction. Lecture Notes in Computer Science, Vol. 876. Springer-Verlag, Berlin (1994) 202–212

    Google Scholar 

  4. Brusilovsky, P.: Student model centered architecture for intelligent learning environment. In: Proc. of Fourth International Conference on User Modeling, Hyannis, MA, MITRE (1994)31–36

    Google Scholar 

  5. Brusilovsky, P.: Intelligent learning environments for programming: The case for integration and adaptation. In: Greer, J. (ed.) Proc. of AI-ED’95, 7th World Conference on Artificial Intelligence in Education, Washington, DC, AACE (1995) 1–8, available online at http://www.contrib.andrew.cmu.edu/~plb/papers/AIED-95.html

  6. Brusilovsky, P., Ritter, S., and Schwarz, E.: Distributed intelligent tutoring on the Web. In: du Boulay, B. and Mizoguchi, R. (eds.) Artificial Intelligence in Education: Knowledge and Media in Learning Systems. IOS, Amsterdam (1997) 482–489

    Google Scholar 

  7. Brusilovsky, P. L.: Adaptive visualization in an intelligent programming environment. In: Gornostaev, J. (ed.) Proc. of East-West International Conference on Human-Computer Interaction, Moscow, ICSTI (1992) 46–50

    Google Scholar 

  8. Bull, S., Brna, P., and Pain, H.: Extending the scope of the student model. User Modeling and User-Adapted Interaction 6,1 (1995) 45–65

    Google Scholar 

  9. Butler, J. E. and Brockman, J. B.: A Web-based learning tool that simulates a simple computer architecture. SIGCSE Bulletin-inroads 33,2 (2001) 47–50

    Article  Google Scholar 

  10. Byrne, M. D., Catarambone, R., and Stasko, J. T.: Evaluating animations as student aids in learning computer algorithms. Computers & Education 33,5 (1999) 253–278

    Article  Google Scholar 

  11. Corbett, A. T. and Anderson, J. R.: Student modeling and mastery learning in a computer-based programming tutor. In: Frasson, C., Gauthier, G. and McCalla, G. I. (eds.) Intelligent Tutoring Systems. Springer-Verlag, Berlin (1992) 413–420

    Google Scholar 

  12. Domingue, J. and Mulholland, P.: An Effective Web Based Software Visualization Learning Environment. Journal of Visual Languages and Computing 9,5 (1998) 485–508

    Article  Google Scholar 

  13. Haajanen, J., Pesonius, M., Sutinen, E., Tarhio, J., Teräsvirta, T., and Vanninen, P.: Animation of user algorithms on the Web. In: Proc. of VL’ 97, IEEE Symposium on Visual Languages, IEEE (1997) 360-367, available online at http://www.cs.helsinki.fi/research/aaps/Jeliot/vl.ps.gz

  14. Hansen, S. R., Narayanan, N. H., and Schrimpsher, D.: Helping learners visualize and comprehend algorithms. Interactive Multimedia: Electronic Journal of Computer-Enhanced Learning 2,1 (2000)

    Google Scholar 

  15. Hundhausen, C. D. and Douglas, S. A.: Using Visualizations to Learn Algorithms: Should Students Construct Their Own, or View an Expert’s? In: Proc. of IEEE Symposium on Visual Languages, Los Alamitos, CA, IEEE Computer Society Press (2000) 21–28, available online at http://lilt.ics.hawaii.edu/~hundhaus/writings/VL2000-Experiment.pdf

    Google Scholar 

  16. Koedinger, K. R., Anderson, J. R., Hadley, W. H., and Mark, M. A.: Intelligent tutoring goes to school in the big city. In: Greer, J. (ed.) Proc. of AI-ED’95, 7th World Conference on Artificial Intelligence in Education, Washington, DC, AACE (1995) 421–428

    Google Scholar 

  17. Stasko, J., Badre, A., and Lewis, C.: Do Algorithm Animations Assist Learning? An Empirical Study and Analysis. In: Proc. of INTERCHI’93, New York, ACM (1993) 61–66

    Google Scholar 

  18. Tung, S.-H. S.: Visualizing Evaluation in Scheme. Lisp and Symbolic Computation 10,3 (1998) 201–222, available online at ftp://140.125.81.71/pub/tungsh/lasc.ps.Z

    Article  Google Scholar 

  19. Weber, G. and Brusilovsky, P.: ELM-ART: An adaptive versatile system for Web-based instruction. International Journal of Artificial Intelligence in Education 12,4 (2001) To appear

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Information Sciences, University of Pittsburgh, Pittsburgh, PA, 15260

    Peter Brusilovsky & Hoah-Der Su

Authors
  1. Peter Brusilovsky
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  2. Hoah-Der Su
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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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Brusilovsky, P., Su, HD. (2002). Adaptive Visualization Component of a Distributed Web-Based Adaptive Educational System. 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_27

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  • DOI: https://doi.org/10.1007/3-540-47987-2_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43750-5

  • Online ISBN: 978-3-540-47987-1

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