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Encouraging CS students to compute for social good through collaborative, community-engaged projects

Published:22 January 2021Publication History
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Abstract

Which pedagogical techniques better engage computer science (CS) students in computing for social good? We examine this question with students enrolled in classes using the Collaborating Across Boundaries to Engage Undergraduates in Computational Thinking (CABECT) pedagogical model, that pairs CS and non-CS courses with a community partner to propose solutions to a local problem. Pre- and post-tests of self-assessed concerns about civic responsibility, global responsibility, and local civic efficacy were administered to the students in a three-year long pedagogical experiment, which paired five CS courses with five journalism courses. While CS students were not statistically different from their journalism peers in pre-test measures of social and global responsibility, they lagged behind in local efficacy. In the posttest, CS students had significantly increased their sense of local efficacy to the extent that they were statistically indistinguishable from journalism students. Community-engaged learning projects, such as the one in the CABECT model, show great potential for attracting students to computing for social good.

References

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      cover image ACM SIGCAS Computers and Society
      ACM SIGCAS Computers and Society  Volume 49, Issue 1
      February 2020
      17 pages
      ISSN:0095-2737
      DOI:10.1145/3447892
      Issue’s Table of Contents

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      Association for Computing Machinery

      New York, NY, United States

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      • Published: 22 January 2021

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