The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Ethics, Identity, and Political Vision: Toward a Justice-Centered Approach to Equity in Computer Science Education
Abstract
In this essay, Sepehr Vakil argues that a more serious engagement with critical traditions in education research is necessary to achieve a justice-centered approach to equity in computer science (CS) education. With CS rapidly emerging as a distinct feature of K–12 public education in the United States, calls to expand CS education are often linked to equity and diversity concerns around expanding access to girls and historically underrepresented students of color. Yet, unlike other critical traditions in education research, equity-oriented CS research has largely failed to interrogate the sociopolitical context of CS education. To move toward a justice-centered approach to equity, Vakil argues, we must simultaneously attend to at least three features of CS education: the content of curriculum, the design of learning environments, and the politics and purposes of CS education reform. While there are many avenues of critical inquiry within and across each of these topics, the focus in this essay is on the role of ethics in the curriculum, the role of identity in CS learning environments, and the significance of a clear political vision for CS education.
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Wing, J. M. (2006) · Communications of the ACM · doi:10.1145/1118178.1118215 · Cited by 8,102
(1980) · Medical Entomology and Zoology · Cited by 7,534
Toward a Critical Race Theory of Education
Ladson-Billings, G., & Tate, W. F. (1995) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1177/016146819509700104 · Cited by 3,881
Brown v. Board of Education and the Interest-Convergence Dilemma
Bell, D. A. (1980) · Harvard Law Review · doi:10.2307/1340546 · Cited by 2,574
Computational Thinking in K–12: A Review of the State of the Field
Grover, S., & Pea, R. (2013) · Educational Researcher · doi:10.3102/0013189x12463051 · Cited by 2,513
Cultural Ways of Learning: Individual Traits or Repertoires of Practice
Gutiérrez, K. D., & Rogoff, B. (2003) · Educational Researcher · doi:10.3102/0013189x032005019 · Cited by 2,161
The Culture of national security: norms and identity in world politics
(1997) · Choice Reviews Online · doi:10.5860/choice.34-5942 · Cited by 2,135
The Handbook of science and technology studies
(2008) · Choice Reviews Online · doi:10.5860/choice.45-5536 · Cited by 1,760
Apple, M. W. (2012) · Routledge eBooks · doi:10.4324/9780203143124 · Cited by 1,494
Dark Matters: On the Surveillance of Blackness
Browne, S. (2015) · doi:10.1215/9780822375302 · Cited by 1,135
Cited by
Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2023) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-022-00293-3 · Cited by 396
It is time for more critical CS education
Ko, A. J., Oleson, A., Ryan, N., Register, Y., Xie, B., Tari, M., Davidson, M., Druga, S., & Loksa, D. (2020) · Communications of the ACM · doi:10.1145/3424000 · Cited by 127
Oleson, A., Xie, B., Salac, J., Everson, J., Kivuva, F. M., & Ko, A. J. (2022) · Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1 · doi:10.1145/3501385.3543967 · Cited by 35
Roque, R., Tamashiro, M. A., Mcconnell, K., & Granados, J. (2021) · Interaction Design and Children · doi:10.1145/3459990.3460728 · Cited by 20
Tanksley, T., Smith, A. D. R., Sharma, S., & Huff, E. W. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713510 · Cited by 19
Metadata
- Authors
- VAKIL, S.
- Venue
- Harvard Educational Review
- Publisher
- Harvard Education Publishing Group
- Published
- 2018
- Volume
- 88
- Issue
- 1
- Pages
- 26-52
- ISSN
- 0017-8055 (ISSN-L)
- 1943-5045
- OpenAlex
- W2790886939
- Cited by
- 299
- References
- 56
- FWCI
- 27.61
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.