Exploring Computational Thinking across Disciplines through Student-Generated Artifact Analysis

Yifan Zhang, Amanda Mohammad Mirzaei, Lori Pollock, Chrystalla Mouza, Kevin Guidry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To meet the demands of 21st century societies, it is essential that faculty across disciplines engage students with course activities and assignments that foster the development of computational thinking (CT). In this study, we address two pertinent questions: (1) What types of artifacts do students develop across different disciplines in response to CT-driven problem prompts' and (2) What types of CT skills do these artifacts demonstrate? To answer the questions, we examined 273 artifacts developed by undergraduate students across seven course assignments from four disciplines: Mathematics, sociology, music, and English using a rubric developed to evaluate the following CT skills: Abstraction, decomposition, data analysis, and algorithmic thinking. We found that a range of skills were reflected across student artifacts.

Original languageEnglish (US)
Title of host publicationSIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
PublisherAssociation for Computing Machinery
Pages1315
Number of pages1
ISBN (Electronic)9781450380621
DOIs
StatePublished - Mar 3 2021
Externally publishedYes
Event52nd ACM Technical Symposium on Computer Science Education, SIGCSE 2021 - Virtual, Online, United States
Duration: Mar 13 2021Mar 20 2021

Publication series

NameSIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

Conference

Conference52nd ACM Technical Symposium on Computer Science Education, SIGCSE 2021
Country/TerritoryUnited States
CityVirtual, Online
Period3/13/213/20/21

Keywords

  • computational thinking
  • undergraduate education

ASJC Scopus subject areas

  • General Computer Science
  • Education

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