Codeprocess charts: Visualizing the process of writing code

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

15 Citations (Scopus)

Abstract

Instructors of computer programming courses evaluate student progress on code submissions, exams, and other activities. The evaluation of code submissions is typically a summative assessment that gives very little insight into the process the student used when designing and writing the code. Thus, a tool that offers instructors a view into how students actually write their code could have broad impacts on assessment, intervention, instructional design, and plagiarism detection. In this article we propose an interactive software tool with a novel visualization that includes both static and dynamic views of the process that students take to complete computer programming assignments. We report results of an exploratory think-aloud study in which instructors offer thoughts as to the utility and potential of the tool. In the think-aloud study, we observed that the instructors easily identified multiple coding strategies (or the lack of thereof), were able to recognize plagiarism, and noticed a clear need for wider dissemination of tools for visualizing the programming process.

Original languageEnglish
Title of host publicationACE 2022 - Proceedings of the 24th Australasian Computing Education Conference, Held in conjunction with Australasian Computer Science Week
PublisherACM
Pages46-55
Number of pages10
ISBN (Electronic)978-1-4503-9643-1
DOIs
Publication statusPublished - 14 Feb 2022
MoE publication typeA4 Conference publication
EventAustralasian Computing Education Conference - Virtual, Online, Australia
Duration: 14 Feb 202218 Feb 2022
Conference number: 24
https://aceconference.wordpress.com/

Publication series

NameACM International Conference Proceeding Series

Conference

ConferenceAustralasian Computing Education Conference
Abbreviated titleACE
Country/TerritoryAustralia
CityVirtual, Online
Period14/02/202218/02/2022
Internet address

Keywords

  • Educational data mining
  • Learning analytics
  • Process data
  • Software visualization
  • Source code analysis
  • Source code snapshots
  • Tool
  • Visualization
  • Visualization tool

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