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External Imagery in Computer Programming

Authors:

Hillary Swanson,

John EdwardsAuthors Info & Claims

SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

Pages 1226 - 1231

https://doi.org/10.1145/3408877.3432426

Published: 05 March 2021 Publication History

Abstract

Imagery is a cognitive process commonly used in sports in which athletes internally or externally visualize themselves performing a skill, allowing them to create an internal experience similar to the physical event. It is intended to allow participants to refine and perfect their performance. This paper investigates the use of imagery in the setting of computer programming. We explore the idea that watching a keystroke replay of yourself writing computer code that solves a specific problem can increase the speed and quality of a subsequent attempt at solving a similar problem as well as improve attitude and engagement. We investigate the theory of imagery, its application to computer programming, and we present results of a qualitative study. Our results suggest that using imagery could have a positive effect on the profitability of spending time reviewing code.

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Cited By

Winder JFrancis EStaley BEdwards J(2024)Incremental Development and CS1 Student Outcomes And BehaviorsProceedings of the 26th Australasian Computing Education Conference10.1145/3636243.3636253(87-93)Online publication date: 29-Jan-2024
https://dl.acm.org/doi/10.1145/3636243.3636253
Sheard JDenny PHellas ALeinonen JMalmi LSimon Stephenson BStone JBattestilli LRebelsky SShoop L(2024)Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview StudyProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630880(1223-1229)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630880
Xie BLim JPham PLi MKo A(2023)Developing Novice Programmers’ Self-Regulation Skills with Code ReplaysProceedings of the 2023 ACM Conference on International Computing Education Research - Volume 110.1145/3568813.3600127(298-313)Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1145/3568813.3600127

Index Terms

External Imagery in Computer Programming
1. Social and professional topics
  1. Professional topics
    1. Computing education
2. Software and its engineering
  1. Software creation and management
    1. Collaboration in software development
    2. Designing software
      1. Software implementation planning
        Software design techniques

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cover image ACM Conferences

SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

March 2021

1454 pages

ISBN:9781450380621

DOI:10.1145/3408877

General Chairs:
Mark Sherriff
University of Virginia, USA
,
Laurence D. Merkle
Air Force Institute of Technology, USA
,
Program Chairs:
Pamela Cutter
Kalamazoo College, USA
,
Alvaro Monge
California State University, Long Beach, USA
,
Judithe Sheard
Monash University, Australia

Copyright © 2021 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]

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New York, NY, United States

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Published: 05 March 2021

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SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education

March 13 - 20, 2021

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Cited By

Winder JFrancis EStaley BEdwards J(2024)Incremental Development and CS1 Student Outcomes And BehaviorsProceedings of the 26th Australasian Computing Education Conference10.1145/3636243.3636253(87-93)Online publication date: 29-Jan-2024
https://dl.acm.org/doi/10.1145/3636243.3636253
Sheard JDenny PHellas ALeinonen JMalmi LSimon Stephenson BStone JBattestilli LRebelsky SShoop L(2024)Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview StudyProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630880(1223-1229)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630880
Xie BLim JPham PLi MKo A(2023)Developing Novice Programmers’ Self-Regulation Skills with Code ReplaysProceedings of the 2023 ACM Conference on International Computing Education Research - Volume 110.1145/3568813.3600127(298-313)Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1145/3568813.3600127

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