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WADEIn II: adaptive explanatory visualization for expressions evaluation
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Proceedings of the 2006 ACM symposium on Software visualization table of contents
Brighton, United Kingdom
POSTER SESSION: Poster abstracts table of contents
Pages: 197 - 198  
Year of Publication: 2006
ISBN:1-59593-464-2
Authors
Tomasz D. Loboda  University of Pittsburgh, Pittsburgh, PA
Peter Brusilovsky  University of Pittsburgh, Pittsburgh, PA
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGSOFT: ACM Special Interest Group on Software Engineering
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGPLAN: ACM Special Interest Group on Programming Languages
Publisher
ACM  New York, NY, USA
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ABSTRACT

Adaptive visualization and explanatory visualization have been suggested as two approaches to increasing the educational effectiveness of software visualization. This paper presents our work on the integration of adaptive and explanatory visualization. We introduce the motivation behind this research and describe how adaptive, explanatory visualization is implemented in WADEIn II, a system that visualizes the process of expression evaluation in the C programming language.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Brusilovsky, P., and Su, H.-D. 2002. Adaptive visualization component of a distributed web-based adaptive educational system. In Intelligent Tutoring Systems, Springer-Verlag, vol. 2363, 229--238.
 
2
Brusilovsky, P. 1994. 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, Springer-Verlag, vol. 876, 202--212.
 
3
Byrne, M. D., Catarambone, R., and Stasko, J. T. 1999. Evaluating animations as student aids in learning computer algorithms. In Computers & Education, vol. 33, 253--278.
 
4
Naps, T. L., Eagan, J. R., and Norton, L. L. 2000. JHAVE -- an environment to actively engage students in web-based algorithm visualizations. In ACM SIGCSE bulletin, vol. 32, 109--113.
 
5
Stasko, J. T., Badre, A., and Lewis, C. 1993. Do algorithm animations assist learning? an empirical study and analysis. In INTERCHI'93, ACM, 61--66.

Collaborative Colleagues:
Tomasz D. Loboda: colleagues
Peter Brusilovsky: colleagues