Motivation: Although CS Education researchers and practitioners have found ways to improve CS classroom inclusivity, few researchers have considered inclusivity of online CS education. We are interested in two such improvements in online CS education—besides being inclusive to each other, online CS students also need to be able to create inclusive technology.
Objectives: We have begun developing a new approach that we term “embedded inclusive design” to address both of these goals. The essence of the approach is to integrate elements of inclusive design education into mainstream CS coursework. This paper presents three curricular interventions we have developed in this approach and empirically investigates their efficacy in online CS post-baccalaureate education. Our research questions were: How do these three curricular interventions affect (RQ1) the climate among online CS students and (RQ2) how online CS students honor the diversity of their users in the tech they create?
Method: To answer these research questions, we implemented the curricular interventions in four asynchronous online CS classes across two CS courses within Oregon State University’s Ecampus and conducted an action research study to investigate the impacts.
Results: Online CS students who experienced these interventions reported feeling more included in the major than they had before, reported positive impacts on their team dynamics, increased their interest in accommodating diverse users, and created more inclusive technology designs than they had before.
Discussion: These results provide encouraging evidence that embedding elements of inclusive design into mainstream CS coursework, via the interventions presented here, can increase both online CS students’ inclusivity toward one another and the inclusivity of the technology these future CS practitioners create.
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Max-Weight Online Stochastic Matching: Improved Approximations Against the Online Benchmark
- Award ID(s):
- 2023505
- NSF-PAR ID:
- 10344485
- Date Published:
- Journal Name:
- 23rd ACM Conference on economics and Computation
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3490486.3538315
