WADEIn II

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WADEIn II: adaptive explanatory visualization for expressions evaluation

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Software Visualization archive
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	Peter Brusilovsky , Hoah-Der Su, Adaptive Visualization Component of a Distributed Web-Based Adaptive Educational System, Proceedings of the 6th International Conference on Intelligent Tutoring Systems, p.229-238, June 02-07, 2002
	2	Peter Brusilovsky, Explanatory Visualization in an Educational Programming Environment: Connecting Examples with General Knowledge, Selected papers from the 4th International Conference on Human-Computer Interaction, p.202-212, August 02-05, 1994
	3	Michael D. Byrne , Richard Catrambone , John T. Stasko, Evaluating animations as student aids in learning computer algorithms, Computers & Education, v.33 n.4, p.253-278, Dec. 1999 [doi>10.1016/S0360-1315(99)00023-8]
	4	Thomas L. Naps , James R. Eagan , Laura L. Norton, JHAVÉ—an environment to actively engage students in Web-based algorithm visualizations, ACM SIGCSE Bulletin, v.32 n.1, p.109-113, Mar. 2000
	5	John Stasko , Albert Badre , Clayton Lewis, Do algorithm animations assist learning?: an empirical study and analysis, Proceedings of the INTERACT '93 and CHI '93 conference on Human factors in computing systems, p.61-66, April 24-29, 1993, Amsterdam, The Netherlands [doi>10.1145/169059.169078]