Building a gender-inclusive secondary computer science program: teacher led and stakeholder supported

References

• Anderson, K. A., Burge, L. L., Shine, T. J., Mejias, M., & Jean-Pierre, K. (2018). Lessons learned from a district-wide implementation of a computer science initiative in the district of Columbia public schools. Journal of Computer Science Integration, 1(1)1–27. https://doi.org/10.26716/jcsi.2018.01.1.2/
   Google Scholar
• Blikstein, P., & Moghadam, S. H. (2019). Computing education. In S. Fincher & A. V. Robins (Eds.), The Cambridge handbook of computing education research (1st ed., pp. 56–78). Cambridge University Press.
   Google Scholar
• Boulden, D. C., Wiebe, E., Akram, B., Aksit, O., Buffum, P. S., Mott, B., Boyer, K. E., & Lester, J. (2018). Computational thinking integration into middle grades science classrooms: Strategies for meeting the challenges. Middle Grades Review, 4(3), 1–17. https://eric.ed.gov/?id=EJ1201235
   Google Scholar
• Code.org, CSTA, & ECEP Alliance. (2020). 2020 state of computer science education: Illuminating disparities. https://advocacy.code.org/stateofcs
   Google Scholar
• Dasgupta, N., & Stout, J. G. (2014). Girls and women in science, technology, engineering, and mathematics: STEMing the tide and broadening participation in STEM careers. Policy Insights from the Behavioral and Brain Sciences, 1(1), 21–29. https://doi.org/10.1177/2372732214549471
   Google Scholar
• Denner, J., Martinez, J., Adams, J., & Thiry, H. (2015). Computer science and fairness: Integrating a social justice perspective into an after school program. Science Education and Civic Engagement, 7(2), 49–62. http://new.seceij.net/wp-content/uploads/2017/07/seceij_summer_2015_issue.v4.pdf#page=49
   Google Scholar
• Eidelman, L., Hazzan, O., Lapidot, T., Matias, Y., Raijman, D., & Segalov, M. (2011). Mind the (gender) gap: Can a two-hour visit to a hi-tech company change perceptions about computer science? ACM Inroads, 2(3), 64–70. https://doi.org/10.1145/2003616.2003637
   Google Scholar
• Fram, S. M. (2013). The constant comparative analysis method outside of grounded theory. Qualitative Report, 18(1), 1–25. https://files.eric.ed.gov/fulltext/EJ1004995.pdf
   Google Scholar
• Goode, J. (2008). Increasing diversity in K-12 computer science: Strategies from the field. In Proceedings of the 39th SIGCSE technical symposium on computer science education (pp. 362–366). https://doi.org/10.1145/1352135.1352259
   Google Scholar
• Goode, J., Chapman, G., & Margolis, J. (2012). Beyond curriculum: The exploring computer science program. ACM Inroads, 3(2), 47–53. https://doi.org/10.1145/2189835.2189851
   Google Scholar
• Goode, J., & Margolis, J. (2011). Exploring computer science: A case study of school reform. ACM Transactions on Computing Education (TOCE), 11(2), 1–16. https://doi.org/10.1145/1993069.1993076
   Google Scholar
• Grande, V., Peters, A. K., Daniels, M., & Tedre, M. (2018). “Participating under the influence”: How role models affect the computing discipline, profession, and student population. In 2018 IEEE frontiers in education conference (FIE) (pp. 1–9). IEEE. https://doi.org/10.1109/FIE.2018.8658944
   Google Scholar
• Granor, N., DeLyser, L. A., & Wang, K. (2016). Teals: Teacher professional development using industry volunteers. Paper presented at the proceedings of the 47th ACM technical symposium on computing science education Memphis, TN, USA. (pp. 60–65). https://doi.org/10.1145/2839509.2844589
   Google Scholar
• Gretter, S., Yadav, A., Sands, P., & Hambrusch, S. (2019). Equitable learning environments in K-12 computing: Teachers’ views on barriers to diversity. ACM Transactions on Computing Education (TOCE), 19(3), 1–16. https://doi.org/10.1145/3282939
   Web of Science ®Google Scholar
• Hug, S., Guenther, R., & Wenk, M. (2013). Cultivating a K12 computer science community: A case study. In Proceedings of the 44th ACM technical symposium on computer science education (pp. 275–280). https://doi.org/10.1145/2445196.2445278
   Google Scholar
• Hu, H. H., Heiner, C., & McCarthy, J. (2016). Deploying exploring computer science statewide. In Proceedings of the 47th ACM technical symposium on computing science education (pp. 72–77). https://doi.org/10.1145/2839509.2844622
   Google Scholar
• Jayathirtha, G., & Kafai, Y. B. (2019). Electronic textiles in computer science education: A synthesis of efforts to broaden participation, increase interest, and deepen learning. In Proceedings of the 50th ACM technical symposium on computer science education (pp. 713–719). https://doi.org/10.1145/3287324.3287343
   Google Scholar
• Jones, G., Dana, T., LaFramenta, J., Adams, T. L., & Arnold, J. D. (2016). STEM TIPS:Supporting the beginning secondary STEM teacher. TechTrends, 60(3), 272–288. https://doi.org/10.1007/s11528-016-0052-5
   Google Scholar
• Jones, S. T., & Melo, N. (2020). ‘Anti-blackness is no glitch’ the need for critical conversations within computer science education. XRDS: Crossroads, the ACM Magazine for Students, 27(2), 42–46. https://doi.org/10.1145/3433134
   Google Scholar
• LeCompte, M. D., & Preissle, J. (1993). Ethnography and qualitative design in educational research (2nd ed). Academic Press.
   Google Scholar
• Margolis, J., Estrella, R., Goode, J., Holme, J. J., & Nao, K. (2017). Stuck in the shallow end: Education, race, and computing. MIT press.
   Google Scholar
• Margolis, J., Goode, J., & Flapan, J. (2017a). A critical crossroads for computer science for all: “Identifying talent” or “building talent”, and what difference does it make? In Y Rankin and J. Thomas (Eds). Moving students of color from consumers to producers of technology (pp. 1–23). IGI Global.
   Google Scholar
• Margolis, J., Ryoo, J., & Goode, J. (2017b). Seeing myself through someone else’s eyes: The value of in-classroom coaching for computer science teaching and learning. ACM Transactions on Computing Education (TOCE), 17(2), 6. https://doi.org/10.1145/2967616
   Web of Science ®Google Scholar
• Martin, A., McAlear, F., & Scott, A. (2015). Path not found: Disparities in access to computer science courses in California high schools. Level Playing Field Institute.
   Google Scholar
• Mouza, C., Marzocchi, A., Pan, Y. C., & Pollock, L. (2016). Development, implementation, and outcomes of an equitable computer science after-school program: Findings from middle-school students. Journal of Research on Technology in Education, 48(2), 84–104. https://doi.org/10.1080/15391523.2016.1146561
   Web of Science ®Google Scholar
• Nager, A., & Atkinson, R. D. (2016). The case for improving U.S computer science education. information technology and innovation foundation report. Information Technology and Innovation Foundation (ITIF). http://www2.itif.org/2016-computer-science-education.pdf?_ga=2.112327172.1275112754.1510793269-478464502.1510793269
   Google Scholar
• National Center for Education Statistics [NCES]. (2018). Degrees in computer and information sciences conferred by postsecondary institutions, by level of degree and sex of student: 1970-71 through 2017-18. https://nces.ed.gov/ipeds
   Google Scholar
• National Science Foundation [NSF]. (2018). Science and Engineering Indicators 2018. https://www.nsf.gov/statistics/2018/nsb20181/assets/nsb20181.pdf
   Google Scholar
• Ni, L., & Guzdial, M. (2012). Who am I? understanding high school computer science teachers’ professional identity. In Proceedings of the 43rd ACM technical symposium on computer science education (pp. 499–504). https://doi.org/10.1145/2157136.2157283
   Google Scholar
• Ottenbreit-Leftwich, A. T., & Biggers, M. (2017). Status of K-14 computer science education in Indiana: CSforIN. Expanding Computing Education Pathways (ECEP) Alliance. https://ecepalliance.org/publications/
   Google Scholar
• Papini, A., DeLyser, L. A., Granor, N., & Wang, K. (2017). Preparing and supporting industry professionals as volunteer high school computer science co-instructors. Paper presented at the proceedings of the 2017 ACM SIGCSE technical symposium on computer science education. Seattle, WA, USA. (pp. 441–446). https://doi.org/10.1145/3017680.3017743
   Google Scholar
• Powell, J., Menendian, S., & Ake, W. (2019). Targeted universalism: Policy & practice. Haas Institute for a Fair and Inclusive Society, University of California, Berkeley. https://belonging.berkeley.edu/targeted-universalism
   Google Scholar
• Proctor, C., Bigman, M., & Blikstein, P. (2019). Defining and designing computer science education in a k12 public school district. In Proceedings of the 50th ACM technical symposium on computer science education (pp. 314–320). https://doi.org/10.1145/3287324.3287440
   Google Scholar
• Protonentis, A., Chordiya, R., & ObeySumner, C. (2021). Centering the margins: Restorative and transformative justice as our path to social equity. Administrative Theory & Praxis, 43(3), 333–354. https://doi.org/10.1080/10841806.2020.1868159
   Google Scholar
• Riain, Ó. (2009). Extending the ethnographic case study. In D. Byrne & C. Charles (Eds.), The sage handbook of case-based methods (pp. 289–306). Sage.
   Google Scholar
• Saldaña, J. (2015). The coding manual for qualitative researchers. Sage.
   Google Scholar
• Santo, R., Vogel, S., & Ching, D. (2019). CS for What? Diverse visions of computer science education in practice. City University of New York (CUNY) Academic Works. https://academicworks.cuny.edu/gc_pubs/562/
   Google Scholar
• Scott, A., Martin, A., McAlear, F., & Koshy, S. (2017). Broadening participation in computing: Examining experiences of girls of color. In Proceedings of the 2017 ACM conference on innovation and technology in computer science education (pp. 252–256). https://doi.org/10.1145/3059009.3059054
   Google Scholar
• Stiles, J. (2017). broadening participation in computer science. Education Development Center. https://www.edc.org/broadening-participation-computer-science
   Google Scholar
• Tate, C., Remold, J., & Bienkowski, M. (2018). Pursuing the vision of CS for all: Views from the front lines. ACM Inroads, 9(3), 48–52. https://doi.org/10.1145/3230704
   Google Scholar
• Torbey, R., Martin, N. D., Warner, J. R., & Fletcher, C. L. (2020). Algebra I before high school as a gatekeeper to computer science participation. In Proceedings of the 51st ACM technical symposium on computer science education (pp. 839–844). https://doi.org/10.1145/3328778.3366877
   Google Scholar
• Vallett, D. B., Lamb, R., & Annetta, L. (2018). After-School and informal STEM projects: The effect of participant self-selection. Journal of Science Education and Technology, 27(3), 248–255. https://doi.org/10.1007/s10956-017-9721-1
   Web of Science ®Google Scholar
• Wang, J., Hong, H., Ravitz, J., & Hejazi Moghadam, S. (2016). Landscape of k-12 computer science education in the US: Perceptions, access, and barriers. In Proceedings of the 47th ACM technical symposium on computing science education (pp. 645–650). ACM. https://doi.org/10.1145/2839509.2844628
   Google Scholar
• Wang, J., Hong, H., Ravitz, J., & Ivory, M. (2015). Gender differences in factors influencing pursuit of computer science and related fields. In Proceedings of the 2015 ACM conference on innovation and technology in computer science education (pp. 117–122). ACM. https://doi.org/10.1145/2729094.2742611
   Google Scholar
• Wilson, J. P., & Moritz, M. (2015). Helping high-needs schools prioritize CS education through teacher advocacy & experiences. ACM Inroads, 6(3), 73–74. https://doi.org/10.1145/2800790
   Google Scholar
• Yadav, A., Gretter, S., Hambrusch, S., & Sands, P. (2016). Expanding computer science education in schools: Understanding teacher experiences and challenges. Computer Science Education, 26(4), 235–254. https://doi.org/10.1080/08993408.2016.1257418
   Web of Science ®Google Scholar
• Zinth, J. (2016). Computer science in high school graduation requirements. ECS education trends (updated). Education Commission of the States. https://eric.ed.gov/?id=ED568885
   Google Scholar