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From Algorithm Animations to Animation-embedded Hypermedia Visualizations
PROCEEDINGS

, , , Auburn University, United States

EdMedia + Innovate Learning, in Seattle, WA USA ISBN 978-1-880094-35-8 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

The idea of using animations to illustrate dynamic behaviors of computer algorithms is over fifteen years old. Over a hundred algorithm animation systems have been built since then, with most developed in the belief that the animations would serve as effective learning aids for students. However, only recently have researchers started asking the question: Do algorithm animations really help? Unfortunately, results of experiments driven by this question have been disappointing. We believe that previous attempts at using animation to teach algorithm behavior were unsatisfactory not because of a flaw with animation as a technique, but because of the approach used to convey the animations. In this paper, we present a novel theoretical framework for the design of effective algorithm visualizations, one which espouses embedding interactive analogies and animations in a context and knowledge providing hypermedia environment. We then present the architecture of HalVis, an implemented system based on this framework, and results from five empirical studies that demonstrated the advantage of our framework over traditional means of instruction and extant algorithm animations.

Citation

Schrimpsher, D., Narayanan, N.H. & Hansen, S. (1999). From Algorithm Animations to Animation-embedded Hypermedia Visualizations. In B. Collis & R. Oliver (Eds.), Proceedings of ED-MEDIA 1999--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 1032-1037). Seattle, WA USA: Association for the Advancement of Computing in Education (AACE). Retrieved October 6, 2022 from .

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