More Web Proxy on the site http://driver.im/

research-article

The reasons might be different: why students and teachers do not use visualization tools

Authors:

Maria Knobelsdorf,

Josh TenenbergAuthors Info & Claims

Koli Calling '12: Proceedings of the 12th Koli Calling International Conference on Computing Education Research

Pages 1 - 10

https://doi.org/10.1145/2401796.2401797

Published: 15 November 2012 Publication History

Abstract

In this paper, we address the problem that despite the fact that visualization tools are one of the most investigated research fields in Computer Science Education, most teachers and students neglect utilizing existing visualization tools for teaching and learning programming, respectively. We discuss possible reasons for the problem mentioned above as well as directions for future research based on Activity Theory, a theoretical framework from developmental psychology. Therefore, this is a philosophical paper, with the purposes of briefly presenting those aspects of Activity Theory that are most relevant to the development of program visualization tools, and pursuing the implications of this theory for deepening our understanding of how these tools impact teaching and learning.

References

[1]

Baecker, R. 1998. Sorting Out Sorting: A Case Study of Software Visualization for Teaching Computer Science. In Software Visualization: Programming as a Multimedia Experience, Brown, M., Domingue, J., Price B., and Stasko, J. Ed. The MIT Press, Cambridge, 369--381.

[2]

Barnes, D. J. and Kölling, M. 2012. Objects First with Java -- A Practical Introduction using BlueJ. Prentice Hall/Pearson Education.

Digital Library

[3]

Basalla, G. 1989. The Evolution of technology. Cambridge University Press.

[4]

Bazik, J., Tamassia, R., Reiss, S. P., and Dam, A. v. 1998. Software Visualization in Teaching at Brown University, In Software Visualization, Stasko, J., Domingue, J., Brown, M., and Price, B. Ed. The MIT Press, Cambridge, 383--398.

[5]

Bednarik, R. 2007. Methods to Analyze Visual Attention Strategies: Applications in the Studies of Programming. Doctoral Thesis. Joensuun yliopisto, University of Joensuu, Finland.

[6]

Bednarik, R., Moreno, A., and Myller, N. 2006. Various Utilizations of an Open-Source Program Visualization Tool, Jeliot 3. Informatics in Education 5, 2, 195--206.

[7]

Berglund, A. 2005. Learning Computer Systems in a Distributed Project Course: The what, why, how and where. Doctoral thesis, Uppsala Dissertations from the Faculty of Science and Technology nr. 62, Acta Universitatis Upsaliensis, Uppsala University, Sweden.

[8]

Boedker, S. 1989. A Human Activity Approach to User Interfaces. Human-Computer-Interaction, 4, 171--195.

Digital Library

[9]

Daniels, M. and Pears, A. 2012. Models and Methods for Computing Education Research. In Proc. Australasian Computing Education Conference, ACE '12. CRPIT, 123, 95--102.

[10]

Engeström, Y. 1990. Learning, Working and Imagining: Twelve Studies in Activity Theory. Orienta-konsultit, Helsinki.

[11]

Gurka, J. S. and Citrin, W. 1996. Testing Effectiveness of Algorithm Animation. In Proceedings of the 1996 IEEE Symposium on Visual Languages. IEEE Computer Society Press, Los Alamitos, 182--189.

Digital Library

[12]

Hundhausen, C. D. 1999. Toward Effective Algorithm Visualization Artifacts: Designing for Participation and Communication in an Undergraduate Algorithms Course. Doctoral Thesis, University of Oregon, US.

Digital Library

[13]

Hundhausen, C., Douglas, S., and Stasko, J. 2002. A Meta-study of Algorithm Visualization Effectiveness. Journal of Visual Languages & Computing, 13, 3, 259--290.

[14]

Isohanni, E. and Knobelsdorf, M. 2010. Behind the Curtain: Student's Use of VIP After Class. In Proceedings of the 6^th International Workshop on Computing Education Research, ICER '10. ACM Press, New York, 87--96.

Digital Library

[15]

Kannusmäki, O., Moreno, A., Myller, N., and Sutinen, E. 2004. What a Novice Wants: Students Using Program Visualization in Distance Programming Course. In Proceedings of the 3^rd Program Visualization Workshop. Research Report CS-RR-407, Department of Computer Science, University of Warwick, UK, 126--133.

[16]

Kaptelinin, V. and Nardi, B. 2004. Acting with Technology -- Activity Theory and Interaction Design. MIT Press, Cambridge.

Digital Library

[17]

Karavirta, V., Korhonen, A., Malmi, L., and Stalnacke, K. 2004. MatrixPro - A Tool for On-The-Fly Demonstration of Data Structures and Algorithms. In Proceedings of the 3^rd Program Visualization Workshop. Research Report CS-RR-407, Department of Computer Science, University of Warwick, UK, 26--33.

[18]

Kölling, M. 2009. Introduction to Programming with Greenfoot: Object-Oriented Programming in Java with Games and Simulations, Pearson Education

[19]

Laakso, M.-J., Salakoski, T., Grandell, L., Qiu, X., Korhonen, A., and Malmi, L. 2005. Multi-perspective study of novice learners adopting the visual algorithm simulation exercise system Trakla2. Informatics in Education, 4, 49--68.

[20]

Lahtinen, E., Järvinen, H.-M., and Melakoski-Vistbacka, S. 2007. Targeting Program Visualizations. In Proceedings of the 12^th Annual Conference on Innovation & Technology in Computer Science Education, ITiCSE '07. ACM Press, New York, 256--260.

Digital Library

[21]

Lattu, M., Meisalo, V., and Tarhio, J. 2000. How a Visualization Tool Can Be Used -- Evaluating a Tool in a Research & Development Project. In Proceedings of the 12^th Annual Conference of the Psychology of Programming Interest Group, PPIG '00. 19--32.

[22]

Lave, J. and Wenger, E. 1991. Situated Learning: Legitimate Peripheral Participation. Cambridge University Press.

[23]

Leontiev, A. N. 1978. Activity, Consciousness, Personality. Englewood Cliffs, NJ. Prentice Hall.

[24]

Levy, Ben-Bassat R. and Ben-Ari, M. 2008. Perceived Behavior Control and its Influence on the Adoption of Software Tools. SIGCSE Bull. 40, 3, 169--173.

Digital Library

[25]

Levy, Ben-Bassat R., and Ben-Ari, M. 2007. We Work so Hard and They Don't Use it: Acceptance of Software Tools by Teachers. SIGCSE Bull., 39, 3, 246--250.

Digital Library

[26]

Lonnberg, J., Malmi, L., and Ben-Ari, M. 2011. Evaluating a Visualisation of the Execution of a Concurrent Program. In Proceedings of the 11^th Koli Calling International Conference on Computing Education Research, Koli '11. ACM Press, New York, 39--48.

Digital Library

[27]

Malmi, L., Karavirta, V., Korhonen, A., Nikander, J., Seppälä, O., and Silvasti, P. 2004. Visual Algorithm Simulation Exercise System with Automatic Assessment: TRAKLA2, Informatics in Education, 3, 2, 267--288.

[28]

Malmi, L., Karavirta, V., Korhonen, A., Nikander, J., Seppälä, O., and Silvasti, P. 2004. Visual Algorithm Simulation Exercise System with Automatic Assessment: TRAKLA2, Informatics in Education, 3, 2, 267--288.

[29]

Moreno, A. and Joy, M. S. 2006. Jeliot 3 in a Demanding Educational Setting. Electronic Notes in Theoretical Computer Science 178, 4, 51--59.

Digital Library

[30]

Moreno, A., Myller, N., Sutinen, E., and Ben-Ari, M. 2004. Visualizing Programs with Jeliot 3. In Proceedings of the International Working Conference on Advanced Visual Interfaces, AVI '04. ACM Press, New York, 373--376.

Digital Library

[31]

Myller, N., Bednarik, R., Sutinen, E., and Ben-Ari, M. 2009. Extending the Engagement Taxonomy: Software Visualization and Collaborative Learning. Trans. Comput. Educ., 1, 9, 1--27.

Digital Library

[32]

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

Digital Library

[33]

Naps, T., Cooper, S., Koldehofe, B., Leska, C., Rößling, G., Dann, W., Korhonen, A., Malmi, L., Rantakokko, J., Ross, R. J., Anderson, J., Fleischer, R., Kuittinen, M., and McNally. M. 2003. Evaluating the educational impact of visualization. SIGCSE Bull. 35, 4, 124--136.

Digital Library

[34]

Naps, T., Rössling, G., Almstrum, V., Dann, W., Fleischer, R., Hundhausen, C., Korhonen, A., Malmi, L., McNally, M., Rodger, S., and Velazquez-Iturbide, J. 2003. Exploring the role of visualization and engagement in computer science education. SIGCSE Bulletin, 35, 2, 131--152.

Digital Library

[35]

Nardi, B. A. 1996. Activity Theory and Human-Computer-Interaction. In Context and Consciousness: Activity Theory and Human-Computer Interaction, Nardi, B. A., Ed. The MIT Press, 8--16.

Digital Library

[36]

Pea, R. 1993. Practices of distributed intelligence and designs for education. In Distributed Cognition: Psychological and Educational Considerations, Salomon, G, Ed. Cambridge University Press, 47--87.

[37]

Price, B., Baecker, R., and Small, I. 1998. An Introduction to Software Visualization, In Software Visualization: Programming as a Multimedia Experience, Stasko, J., Domingue, J., Brown, M., and Price, B., Ed. MIT Press, 3--34.

[38]

Rajala, T., Laakso, M., Kaila, E., and Salakoski, T. 2007. VILLE A Language-Independent Program Visualization Tool. In Proceedings of the 7^th Koli Calling Conference on Computer Science Education. Koli '07. CRPIT, 88, ACS, 151--159.

Digital Library

[39]

Rogoff, B. 2003. The Cultural Nature of Human Development. Oxford University Press.

[40]

Romero, P., Boulay, B. du, Cox, R., Lutz, R., and R. Bryant, R. 2005. Graphical visualizations and debugging: A detailed process analysis. In Proceedings of the 17^th Annual Workshop of the Psychology of Programming Interest Group, PPIG '05. 62--76.

[41]

Rössling, G. and Freisleben, B. 2002. ANIMAL A system for supporting multiple roles in algorithm animation. Journal of Visual languages and Computing, 1, 3, 341--254.

[42]

Säljö, R. 1998. Learning as the use of tools: a sociocultural perspective on the human-technology link. In Learning with computers, Littleton, K. and Light, P., Ed. Routledge, New York, 144--161.

Digital Library

[43]

Shaffer, C. A., Akbar, M., Alon, A., Stewart, M., Edwards, S. 2011. Getting algorithm visualizations into the classroom. In Proceedings of the 42^nd ACM technical symposium on Computer science education, SIGCSE '11. ACM, New York, 129--134.

Digital Library

[44]

Shaffer, C. A., Cooper, M. L., Alon, A., Akbar, M., Stewart, M., Ponce, S., and Edwards, S. H. 2010. Algorithm Visualization: The State of the Field. ACM Transactions on Computing Education, 10, 3, Article No. 9.

Digital Library

[45]

Shaffer, C. A., Naps, T., Rodger, S., and Edwards. S. 2010. Building an online educational community for algorithm visualization. In Proceedings of the 41^st ACM technical symposium on Computer science education, SIGCSE '10. ACM Press, New York, 475--476.

Digital Library

[46]

Sorva, J. 2012. Visual Program Simulation in Introductory Programming Education. Doctoral Thesis. Aalto University publication series DOCTORAL DISSERTATIONS 61/2012, Aalto University, Finland.

[47]

Stasko, J. T. 1990. TANGO: A Framework and System for Algorithm Animation. Computer, 23, 9, 27--39.

Digital Library

[48]

Stasko, J. T. 1997. Using student-built animations as learning aids. In Proceedings of the ACM Technical Symposium on Computer Science Education, SIGCSE '97. ACM Press, New York, 25--29.

Digital Library

[49]

Stasko, J. T. and Hundhausen, C. D. 2004. Algorithm Visualization. In Computer Science Education Research, Fincher, S. and M. Petre, Ed. Taylor and Francis, 199--228.

[50]

Urquiza-Fuentes, J. and Velazquez-Iturbide, J. A. 2009. A survey of successful evaluations of program visualization and algorithm animation systems. Trans. Comput. Educ., 9. 1--21.

Digital Library

[51]

Vygotsky, L. S. 1978. Mind in Society: The Development of Higher Psychological Processes: Harvard University Press.

[52]

Vygotsky, L. S. 1981. The instrumental method in psychology. In The concept of activity in Soviet psychology, Wertsch, J. V., Ed. M. E. Sharpe.

[53]

Wallace, B., Ross, A., Davies, J. B., and Anderson, T. 2007. The Mind, the Body, and the World: Psychology after Cognitivism? Imprint Academic, Exeter.

[54]

Wertsch, J. V. 1993. Voices of the Mind: Sociocultural Approach to Mediated Action. Harvard University Press.

[55]

Woolfolk, A. E. 2007. Educational Psychology, Pearson, Boston.

Cited By

Matthew Michael SKhang SSally H(2021)SimpleChartsRI: A User-Friendly Web-Tool for Creating Effective VisualizationsFrontiers in Computer Science10.3389/fcomp.2021.7069393Online publication date: 27-Oct-2021
https://doi.org/10.3389/fcomp.2021.706939
Kumar MChoppella VSunil SSyed S(2019)A Learnable-by-Design (LEAD) Model for Designing Experiments for Computer Science Labs2019 IEEE Tenth International Conference on Technology for Education (T4E)10.1109/T4E.2019.00050(222-229)Online publication date: Dec-2019
https://doi.org/10.1109/T4E.2019.00050
Al-Sakkaf AOmar MAhmad M(2019)A systematic literature review of student engagement in software visualization: a theoretical perspectiveComputer Science Education10.1080/08993408.2018.1564611(1-27)Online publication date: 11-Jan-2019
https://doi.org/10.1080/08993408.2018.1564611
Show More Cited By

Index Terms

The reasons might be different: why students and teachers do not use visualization tools
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        Information science education

Recommendations

Flipping the Classroom: Will the Changes of Teachers Influence Learning Outcomes?
ICEEL '20: Proceedings of the 2020 4th International Conference on Education and E-Learning

The flipped classroom approach is one of the widely adopted instructional strategies that transform the traditional teaching practice into a technology-enriched learning practice. With the use of eLearning technology tools, it holds promises to enhance ...
A Case Study on the Perceptions of Educators on the Penetration of Personal Learning Environments in Typical Education

Personal Learning Environments PLEs help students manage and take control of their own learning. As such, the PLE promotes self-regulation in learning and allows learners to aggregate, manipulate and share digital artefacts within a flexible and ...
The Educational Contribution of Interactive Whiteboards

Interactive whiteboards IWBs are a key element of smart technology being used in classrooms. The principal concern when using interactive whiteboards in an educational setting is how effectively IWB's serve the student and the instructor. A key question ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

Koli Calling '12: Proceedings of the 12th Koli Calling International Conference on Computing Education Research

November 2012

187 pages

ISBN:9781450317955

DOI:10.1145/2401796

Conference Chairs:
Mikko-Jussi Laakso
University of Turku
,
Robert McCartney
University of Connecticut

Copyright © 2012 ACM.

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]

Sponsors

Univ. Eastern Finland: University of Eastern Finland
Tampere University of Technology
Univ. Turku: University of Turku
Aalto University

In-Cooperation

SIGCSE: ACM Special Interest Group on Computer Science Education

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 November 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

Koli Calling '12

Sponsor:

Univ. Eastern Finland
Univ. Turku

Koli Calling '12: 12th Koli Calling International Conference on Computing Education Research

November 15 - 18, 2012

Koli, Finland

Acceptance Rates

Overall Acceptance Rate 80 of 182 submissions, 44%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
413
Total Downloads

Downloads (Last 12 months)14
Downloads (Last 6 weeks)5

Reflects downloads up to 17 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Matthew Michael SKhang SSally H(2021)SimpleChartsRI: A User-Friendly Web-Tool for Creating Effective VisualizationsFrontiers in Computer Science10.3389/fcomp.2021.7069393Online publication date: 27-Oct-2021
https://doi.org/10.3389/fcomp.2021.706939
Kumar MChoppella VSunil SSyed S(2019)A Learnable-by-Design (LEAD) Model for Designing Experiments for Computer Science Labs2019 IEEE Tenth International Conference on Technology for Education (T4E)10.1109/T4E.2019.00050(222-229)Online publication date: Dec-2019
https://doi.org/10.1109/T4E.2019.00050
Al-Sakkaf AOmar MAhmad M(2019)A systematic literature review of student engagement in software visualization: a theoretical perspectiveComputer Science Education10.1080/08993408.2018.1564611(1-27)Online publication date: 11-Jan-2019
https://doi.org/10.1080/08993408.2018.1564611
Isohanni EJärvinen HSimon Kinnunen P(2014)Are visualization tools used in programming education?Proceedings of the 14th Koli Calling International Conference on Computing Education Research10.1145/2674683.2674688(35-40)Online publication date: 20-Nov-2014
https://dl.acm.org/doi/10.1145/2674683.2674688
Tenenberg JKnobelsdorf M(2014)Out of our minds: a review of sociocultural cognition theoryComputer Science Education10.1080/08993408.2013.86939624:1(1-24)Online publication date: 6-Jan-2014
https://doi.org/10.1080/08993408.2013.869396

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.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents