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Undergraduate software engineering courses typically require students to work on team-based projects that reinforce disciplinary content and soft skills. At the same time, these students, particularly those at liberal arts institutions, are required to take courses that focus on civic issues, including on racial and ethnic inequality. Often, students perceive these courses to be outside their disciplinary areas, and may not comprehend how these topics are applicable to computer science and software engineering. This paper reports on the experience of Pulimood and Leigey as they and their students grappled with issues of racial injustice in the criminal justice system, and drew upon their own disciplinary backgrounds to apply computational thinking and software engineering principles to help the community better understand these issues and advocate for reform. The paper also describes the experience of teaching courses from different disciplines in a collaborative model, working closely with a local community partner to support its work on an identified social issue, and the learning outcomes, as well as the benefits and challenges of this approach. Recommendations and future directions are also discussed. 

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. 

This submission was accepted for a special edition of Science Education and Civic Engagement: An International Journal focused on “Teaching Through Covid.” This submission was drawn from interviews, journals, and workshops of faculty participants and reviewed by the special edition editors prior to acceptance.