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The importance of interactive questioning techniques in the comprehension of algorithm animations

Published: 04 September 2006 Publication History

Abstract

The purpose of the study presented in this paper is to analyze the usefulness of various types of pop-up questions used in algorithm animations. Preliminary analysis indicates that providing feedback to pop-up questions increases the participant's ability to correctly answer both pop-up questions and regular test questions while the form of interaction required of the user via pop-up questions lessens the overall performance, though not significantly.

References

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Byrne, M. D., Catrambone, R., and Stasko, J. T. 1999. Evaluating animations as student aids in learning computer algorithms. Computers&Education (4):253--278.
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Davis, E. T., Hailston, K., Kraemer, E., Hamilton-Taylor, A., Rhodes, P., Papadimitiou, C., and Garcia, B. 2006. Perceptual characteristics of computerized program visualizations can differentially affect detection and localization performance. In Proceedings of 50th Annual Meeting of the Human Factors and Ergonomics Society, San Francisco, CA, October 16--20, 2006.
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Grissom, S., McNally, M. F., and Naps, T. 2003. Algorithm visualization in CS education: comparing levels of student engagement. In Proceedings of the 2003 ACM symposium on Software visualization, ACM Press, San Diego, California.
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Hansen, S., Narayanan, N. H., and Hegarty, M. 2002. Designing educationally effective algorithm visualizations, Journal Of Visual Languages And Computing 13 (3):291--317.
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Hundhausen, C. D., Douglas, S. A., and Stasko, J. T. 2002. A Meta-Study of Algorithm Visualization Effectiveness. Journal Of Visual Languages And Computing 13 (3):259--290.
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Jarc, D., Feldman, M., and Heller, R. 2000. Assessing the benefits of interactive prediction using Web-based algorithm animation courseware. In Proceedings of the thirty-first SIGCSE technical symposium on Computer science education, ACM Press, Austin, Texas, United States.
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Kraemer, E., Reed, B., Rhodes, P., and Taylor, A. 2006. SSEA: A system for studying the effectiveness of animations. In Proceedings of Fourth Program Visualization Workshop (PVW2006), University of Florence, Italy, June 29--30, 2006.
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Naps, T., Eagan, J., and Norton, L. 2000. JHAVE: An Environment to Actively Engage Students in Web-Based Algorithm Visualization. In Proceedings of Symposium on Computer Science Education (SIGCSE 2000), Austin, TX, pp. 109--113.
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Reed, B. 2006. Investigating Characteristics of Effective Program Visualizations: A Testing Environment and the Effect of Cueing and Swapping Techniques in Algorithm Animations, Master's thesis in Computer Science, University of Georgia, Athens, GA.

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  • (2009)An Experiment on the Short-Term Effects of Engagement and Representation in Program AnimationJournal of Educational Computing Research10.2190/EC.39.4.e39:4(395-430)Online publication date: 27-Apr-2009

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cover image ACM Conferences
SoftVis '06: Proceedings of the 2006 ACM symposium on Software visualization
September 2006
199 pages
ISBN:1595934642
DOI:10.1145/1148493
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 04 September 2006

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Author Tags

  1. algorithm animation
  2. effectiveness
  3. experimentation
  4. software visualization

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  • (2009)An Experiment on the Short-Term Effects of Engagement and Representation in Program AnimationJournal of Educational Computing Research10.2190/EC.39.4.e39:4(395-430)Online publication date: 27-Apr-2009

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