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Algorithm Visualization: The State of the Field

Algorithm Visualization: The State of the Field Algorithm Visualization: The State of the Field CLIFFORD A. SHAFFER Virginia Tech MATTHEW L. COOPER Microsoft Corp ALEXANDER JOEL D. ALON, MONIKA AKBAR, MICHAEL STEWART, SEAN PONCE, and STEPHEN H. EDWARDS Virginia Tech We present ndings regarding the state of the eld of Algorithm Visualization (AV) based on our analysis of a collection of over 500 AVs. We examine how AVs are distributed among topics, who created them and when, their overall quality, and how they are disseminated. There does exist a cadre of good AVs and active developers. Unfortunately, we found that many AVs are of low quality, and coverage is skewed toward a few easier topics. This can make it hard for instructors to locate what they need. There are no effective repositories of AVs currently available, which puts many AVs at risk for being lost to the community over time. Thus, the eld appears in need of improvement in disseminating materials, propagating known best practices, and informing developers about topic coverage. These concerns could be mitigated by building community and improving communication among AV users and developers. Categories and Subject Descriptors: E.1 [Data Structures]: E.2 [Data Storage Representations]: K.3.2 [Computers and Education]: Computer and Information http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Computing Education (TOCE) Association for Computing Machinery

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2010 by ACM Inc.
ISSN
1946-6226
DOI
10.1145/1821996.1821997
Publisher site
See Article on Publisher Site

Abstract

Algorithm Visualization: The State of the Field CLIFFORD A. SHAFFER Virginia Tech MATTHEW L. COOPER Microsoft Corp ALEXANDER JOEL D. ALON, MONIKA AKBAR, MICHAEL STEWART, SEAN PONCE, and STEPHEN H. EDWARDS Virginia Tech We present ndings regarding the state of the eld of Algorithm Visualization (AV) based on our analysis of a collection of over 500 AVs. We examine how AVs are distributed among topics, who created them and when, their overall quality, and how they are disseminated. There does exist a cadre of good AVs and active developers. Unfortunately, we found that many AVs are of low quality, and coverage is skewed toward a few easier topics. This can make it hard for instructors to locate what they need. There are no effective repositories of AVs currently available, which puts many AVs at risk for being lost to the community over time. Thus, the eld appears in need of improvement in disseminating materials, propagating known best practices, and informing developers about topic coverage. These concerns could be mitigated by building community and improving communication among AV users and developers. Categories and Subject Descriptors: E.1 [Data Structures]: E.2 [Data Storage Representations]: K.3.2 [Computers and Education]: Computer and Information

Journal

ACM Transactions on Computing Education (TOCE)Association for Computing Machinery

Published: Aug 1, 2010

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