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What should be visualized?: faculty perception of priority topics for program visualization
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Source ACM SIGCSE Bulletin archive
Volume 38 ,  Issue 2  (June 2006) table of contents
COLUMN: Featured column table of contents
Pages: 44 - 48  
Year of Publication: 2006
ISSN:0097-8418
Authors
Peter Brusilovsky  University of Pittsburgh, Pittsburgh, Pennsylvania
Jonathan Grady  University of Pittsburgh, Pittsburgh, Pennsylvania
Michael Spring  University of Pittsburgh, Pittsburgh, Pennsylvania
Chul-Hwan Lee  University of Pittsburgh, Pittsburgh, Pennsylvania
Publisher
ACM  New York, NY, USA
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ABSTRACT

To guide our work on adaptive explanatory program visualization the authors prepared a questionnaire that was broadly distributed among teachers of programming-related subjects. The questionnaire was designed to collect a list of topics that are considered important, but hard to teach and to solicit suggestions on using visualization for teaching these topics. This paper introduces the questionnaire, explains how it was administered, and presents the results that we consider of interest to the teachers of programming community.


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.

 
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Brusilovsky, P. and Spring, M. Adaptive, Engaging, and Explanatory Visualization in a C Programming Course. In: Cantoni, L. and McLoughlin, C. (eds.) Proc. of ED-MEDIA'2004 - World Conference on Educational Multimedia, Hypermedia and Telecommunications, (Lugano, Switzerland, June 21-26, 2004), AACE, 1264--1271.
 
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Dancik, G. and Kumar, A. N. A tutor for counter-controlled loop concepts and its evaluation. In: Proc. of 2003 Frontiers in Education Conference (FIE 2003), (Boulder, CO, November 5-8, 2003), Session T3C.
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Kumar, A. N. Model-based generation of demand feedback in a programming tutor. In: Kay, J. (ed.) Supplementary Proceedings of the 11th International Conference on Artificial Intelligence in Education (AI-ED 2003). IOS Press, Amsterdam, 2003, 425--432.
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Collaborative Colleagues:
Peter Brusilovsky: colleagues
Jonathan Grady: colleagues
Michael Spring: colleagues
Chul-Hwan Lee: colleagues