Article

WADEIn II: a case for adaptive explanatory visualization

Authors:

Peter Brusilovsky,

Tomasz D. LobodaAuthors Info & Claims

ITICSE '06: Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education

Pages 48 - 52

https://doi.org/10.1145/1140124.1140140

Published: 26 June 2006 Publication History

Get Access

Abstract

Adaptive explanatory visualization is an attempt to integrate two promising approaches to program visualization: adaptive visualization and explanatory visualization. The goal of this paper is to demonstrate the ideas of adaptive explanatory visualization using a practical example. The paper introduces the WADEIn II system for the visualization of expression evaluation in the C programming language, shows how expression evaluation visualizations can be made adaptive, and explains our approach to the adaptive generation of explanations.

References

[1]

Brusilovsky, P. Program visualization as a debugging tool for novices. In: Proc. of INTERCHI'93 (Adjunct proceedings), (Amsterdam, 24-29 April 1993), 29--30.

Digital Library

Google Scholar

[2]

Brusilovsky, P. Explanatory visualization in an educational programming environment: connecting examples with general knowledge. In: Blumenthal, B., Gornostaev, J. and Unger, C. (eds.) Human-Computer Interaction. Lecture Notes in Computer Science, Vol. 876. Springer-Verlag, Berlin, 1994, 202--212.

Digital Library

Google Scholar

[3]

Brusilovsky, P. and Su, H.-D. Adaptive Visualization Component of a Distributed Web-based Adaptive Educational System. In: Intelligent Tutoring Systems. Vol. 2363. Springer-Verlag, Berlin, 2002, 229--238.

Digital Library

Google Scholar

[4]

Byrne, M.D., Catarambone, R., and Stasko, J.T. Evaluating animations as student aids in learning computer algorithms. Computers & Education, 33, 5 (1999), 253--278.

Digital Library

Google Scholar

[5]

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.

Crossref

Google Scholar

[6]

Hundhausen, C.D., Douglas, S.A., and Stasko, J.T. A meta-study of algorithm visualization effectiveness. Journal of Visual Languages and Computing, 13, 3 (2002), 259--290, available online at http://lilt.ics.hawaii.edu/~hundhaus/writings/VL2000-Experiment.pdf.

Digital Library

Google Scholar

[7]

Jarc, D.J., Feldman, M.B., and Heller, R.S. Assessing the benefits of interactive prediction using Web-based algorithm animation courseware. ACM SIGCSE bulletin. 32, 1 (2000), 377--381.

Digital Library

Google Scholar

[8]

Kumar, A.N. Learning the interaction between pointers and scope in C++. In: Proc. of 6th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE'2002), (Canterbury, UK, June 25-27, 2001), ACM Press, 45--48.

Digital Library

Google Scholar

[9]

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.

Google Scholar

[10]

Naps, T.L., Eagan, J.R., and Norton, L.L. JHAVE - an environment to actively engage students in Web-based algorithm visualizations. ACM SIGCSE bulletin. 32, 1 (2000), 109--113.

Digital Library

Google Scholar

[11]

Shah, H. and Kumar, A.N. A tutoring system for parameter passing in programming languages. ACM SIGCSE bulletin. 34, 3 (2002), 170--174.

Digital Library

Google Scholar

[12]

Stasko, J., Badre, A., and Lewis, C. Do Algorithm Animations Assist Learning? An Empirical Study and Analysis. In: Proc. of INTERCHI'93, (New York, Amsterdam, 24-29 April 1993), ACM, 61--66.

Digital Library

Google Scholar

Cited By

View all

Zhou ZWang WGuo MWang YGotz D(2023)A Design Space for Surfacing Content Recommendations in Visual Analytic PlatformsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.320944529:1(84-94)Online publication date: Jan-2023
https://doi.org/10.1109/TVCG.2022.3209445
Risha ZBarria-Pineda JAkhuseyinoglu KBrusilovsky P(2021)Stepwise Help and Scaffolding for Java Code Tracing Problems With an Interactive Trace TableProceedings of the 21st Koli Calling International Conference on Computing Education Research10.1145/3488042.3490508(1-10)Online publication date: 17-Nov-2021
https://dl.acm.org/doi/10.1145/3488042.3490508
Huang LPoitras ESiegel ASampangi RPaulovich F(2021)Data Visualizations to Foster Self-regulated Learning with Intelligent Programming TutorsVisualizations and Dashboards for Learning Analytics10.1007/978-3-030-81222-5_4(69-92)Online publication date: 17-Dec-2021
https://doi.org/10.1007/978-3-030-81222-5_4
Show More Cited By

Index Terms

WADEIn II: a case for adaptive explanatory visualization
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation types and techniques
      1. Simulation by animation
      2. Visual analytics
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

Recommendations

WADEIn II: a case for adaptive explanatory visualization

Adaptive explanatory visualization is an attempt to integrate two promising approaches to program visualization: adaptive visualization and explanatory visualization. The goal of this paper is to demonstrate the ideas of adaptive explanatory ...
WADEIn II: adaptive explanatory visualization for expressions evaluation
SoftVis '06: Proceedings of the 2006 ACM symposium on Software visualization

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. ...
A reference model for adaptive visualization systems
HCII'11: Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I

One key issue of both Information Visualization as well as Adaptive User Interfaces is information overload. While both disciplines have already devised well performing algorithms, methods and applications, a real merging has not taken place yet. Only a ...

Comments

Information & Contributors

Information

Published In

ITICSE '06: Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education

June 2006

390 pages

ISBN:1595930558

DOI:10.1145/1140124

Conference Chair:
Renzo Davoli
Università di Bologna, Italy
,
Program Chairs:
Michael Goldweber
Xavier University
,
Paola Salomoni
Università di Bologna, Italy

ACM SIGCSE Bulletin Volume 38, Issue 3
September 2006
367 pages
ISSN:0097-8418
DOI:10.1145/1140123
Issue’s Table of Contents

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

ITiCSE06

Sponsor:

ITiCSE06: 11th Annual Conference on Innovation and Technology in Computer Science Education

June 26 - 28, 2006

Bologna, Italy

Acceptance Rates

Overall Acceptance Rate 552 of 1,613 submissions, 34%

Upcoming Conference

ITiCSE '25

Sponsor:
sigcse

Innovation and Technology in Computer Science Education

June 27 - July 2, 2025

Nijmegen , Netherlands

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

17
Total Citations
View Citations
331
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)2

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zhou ZWang WGuo MWang YGotz D(2023)A Design Space for Surfacing Content Recommendations in Visual Analytic PlatformsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.320944529:1(84-94)Online publication date: Jan-2023
https://doi.org/10.1109/TVCG.2022.3209445
Risha ZBarria-Pineda JAkhuseyinoglu KBrusilovsky P(2021)Stepwise Help and Scaffolding for Java Code Tracing Problems With an Interactive Trace TableProceedings of the 21st Koli Calling International Conference on Computing Education Research10.1145/3488042.3490508(1-10)Online publication date: 17-Nov-2021
https://dl.acm.org/doi/10.1145/3488042.3490508
Huang LPoitras ESiegel ASampangi RPaulovich F(2021)Data Visualizations to Foster Self-regulated Learning with Intelligent Programming TutorsVisualizations and Dashboards for Learning Analytics10.1007/978-3-030-81222-5_4(69-92)Online publication date: 17-Dec-2021
https://doi.org/10.1007/978-3-030-81222-5_4
Nazemi KNazemi K(2016)Adaptive VisualizationAdaptive Semantics Visualization10.1007/978-3-319-30816-6_4(123-170)Online publication date: 23-Mar-2016
https://doi.org/10.1007/978-3-319-30816-6_4
Nafari MWeaver CScheuermann G(2013)Augmenting visualization with natural language translation of interactionProceedings of the 15th Eurographics Conference on Visualization10.1111/cgf.12126(391-400)Online publication date: 17-Jun-2013
https://dl.acm.org/doi/10.1111/cgf.12126
Mohammed SAbdelazziz A(2013)WIDE an interactive Web integrated development environment to practice C programming in distance education2013 1st International Conference of the Portuguese Society for Engineering Education (CISPEE)10.1109/CISPEE.2013.6701964(1-6)Online publication date: Oct-2013
https://doi.org/10.1109/CISPEE.2013.6701964
Loboda TBrusilovsky P(2010)User-adaptive explanatory program visualizationUser Modeling and User-Adapted Interaction10.1007/s11257-010-9077-120:3(191-226)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1007/s11257-010-9077-1
Loboda TBrusilovsky P(2008)Adaptation in the Context of Explanatory VisualizationProceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts10.1007/978-3-540-87605-2_28(250-261)Online publication date: 16-Sep-2008
https://dl.acm.org/doi/10.1007/978-3-540-87605-2_28
Myller N(2007)Automatic Generation of Prediction Questions during Program VisualizationElectronic Notes in Theoretical Computer Science (ENTCS)10.1016/j.entcs.2007.01.034178(43-49)Online publication date: 1-Jul-2007
https://dl.acm.org/doi/10.1016/j.entcs.2007.01.034
Hijon-Neira RPerez-Marin DPizarro CConnolly C(2020)The Effects of a Visual Execution Environment and Makey Makey on Primary School Children Learning Introductory Programming ConceptsIEEE Access10.1109/ACCESS.2020.30416868(217800-217815)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3041686
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations