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A Landscape Study of Computer Science Education in NYC: Early Findings and Implications for Policy and Practice

Published: 21 February 2018 Publication History

Abstract

NYC's Computer Science for All (CS4All) is a 10-year, districtwide initiative aimed at providing high-quality computer science (CS) education to all NYC public school students. It aspires to greatly increase the number of students, teachers, and schools exposed to CS in NYC, and to offer meaningful learning experiences that build on prior exposure and skills at every grade level. These plans include providing high-quality professional development (PD) to some 5,000 teachers, designed to help them learn new programs and pedagogies in CS education, as well as strategies for integrating CS into existing courses. This paper presents findings from an assessment of CS in NYC, conducted in the second year of the CS4All initiative. Using a telephone survey of a representative sample of schools, we describe the current state of CS programming and training in the City. Overall, we found high participation in CS teacher training opportunities (both through and independent of the initiative) and widespread offering of CS courses Specifically, we estimate just over half of schools districtwide (56%) participated in some type of CS training in the 2015-16 school year, and about two thirds of schools (64%) offered students some kind of CS coursework in the 2016-17 school year (through either stand-alone CS courses or the integration of CS into other subjects). The type of programming and training varied by school level (elementary, middle and high). We also explored the extent to which programming and training are reaching schools and students who are historically underrepresented in CS--including women and girls, students of color, low-income students and students with disabilities. We found that schools offering CS courses and activities served fewer Black and Latino students and more White and Asian Students, compared with schools not offering CS. This work is unique, as it is the only districtwide assessment of CS education conducted anywhere in the country to date, thus adding to an under-researched but important and growing field of study

References

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Code.org. 2017. Girls set AP Computer Science record...skyrocketing growth outpaces boys. Retrieved from https://medium.com/@codeorg/girls-set-ap-computer-science-record-skyrocketing-growth-outpaces-boys-41b7c01373a5
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Code.org. 2017. K-12 Computer Science Policy and Implementation in States. Retrieved from https://docs.google.com/document/d/1J3TbEQt3SmIWuha7ooBPvlWpiK-pNVIV5uuQEzNzdkE/edit
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Leigh Ann DeLyser and Michael Preston. 2015. A public school model of CS education. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 233--238.
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Google Inc. & Gallup Inc. 2016. Trends in the State of Computer Science in U.S. K-12 Schools. Retrieved from http://goo.gl/j291E0
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Jane Margolis, et al. 2010. Stuck in the shallow end: Education, race, and computing. MIT Press.
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NYC Department of Education. About-CS4All. 2017. Retrieved from http://cs4all.nyc/about/#ee
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NYC Department of Education. 2017. Demographic snapshot. Retrieved from http://schools.nyc.gov/NR/rdonlyres/77954FB0-FD24--476B-AB81--3E9BBE8655D9/213559/DemographicSnapshot201213to201617Public_FINAL1.xlsx
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S. Vogel, R. Santo, R., & D. Ching. 2017. Visions of Computer Science Education: Unpacking Arguments for and Projected Impacts of CS4All Initiatives. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education. ACM, 609--614.
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Jennifer Wang, et al. 2016. Landscape of k-12 computer science education in the US: Perceptions, access, and barriers. Proceedings of the 47th ACM Technical Symposium on Computing Science Education. ACM.
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Cited By

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  • (2024)Small Steps, Big Progress: Analyzing District Led Goals to Advance CS EducationProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630924(221-226)Online publication date: 7-Mar-2024
  • (2023)Booting the system: Leadership practices for initiating and infrastructuring district-wide computer science instructional programsPolicy Futures in Education10.1177/14782103231178069Online publication date: 15-Jun-2023
  • (2023)Introducing Computational Thinking at Vocational High SchoolsProceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 110.1145/3587102.3588818(68-74)Online publication date: 29-Jun-2023
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    cover image ACM Conferences
    SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education
    February 2018
    1174 pages
    ISBN:9781450351034
    DOI:10.1145/3159450
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

    Publication History

    Published: 21 February 2018

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    Author Tags

    1. NYC
    2. access
    3. barriers
    4. computer science education
    5. funding
    6. implementation
    7. landscape
    8. survey

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    • Research-article

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    • The Fund for Public Schools

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    SIGCSE '18
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    Acceptance Rates

    SIGCSE '18 Paper Acceptance Rate 161 of 459 submissions, 35%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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    SIGCSE TS 2025
    The 56th ACM Technical Symposium on Computer Science Education
    February 26 - March 1, 2025
    Pittsburgh , PA , USA

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    Cited By

    View all
    • (2024)Small Steps, Big Progress: Analyzing District Led Goals to Advance CS EducationProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630924(221-226)Online publication date: 7-Mar-2024
    • (2023)Booting the system: Leadership practices for initiating and infrastructuring district-wide computer science instructional programsPolicy Futures in Education10.1177/14782103231178069Online publication date: 15-Jun-2023
    • (2023)Introducing Computational Thinking at Vocational High SchoolsProceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 110.1145/3587102.3588818(68-74)Online publication date: 29-Jun-2023
    • (2023)Barriers and Supports to Offering Computer Science in High Schools: A Case Study of Structures and AgentsACM Transactions on Computing Education10.1145/357290023:2(1-27)Online publication date: 14-Mar-2023
    • (2023)Learner Ideas and Interests Expressed in Open-ended Projects in a Middle School Computer Science CurriculumProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569807(820-826)Online publication date: 2-Mar-2023
    • (2022)Debugging inequities: Data use, “gumshoe work,” and problem identification in district-wide computer science education initiativesPolicy Futures in Education10.1177/14782103221126317Online publication date: 15-Sep-2022
    • (2022)Capacity-related factors associated with computer science access and participation in Georgia public high schoolsPolicy Futures in Education10.1177/14782103221081920Online publication date: 14-Apr-2022
    • (2022)How a Research-Practice Partnership Refined its Strategy for Integrating CS/CT into K-5 CurriculaProceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499281(592-598)Online publication date: 22-Feb-2022
    • (2022)Environmental design as a component of block‐based programmingComputer Applications in Engineering Education10.1002/cae.2259131:2(408-420)Online publication date: 23-Dec-2022
    • (2021)Investigating the Role of Cognitive Abilities in Computational Thinking for Young LearnersProceedings of the 17th ACM Conference on International Computing Education Research10.1145/3446871.3469746(2-17)Online publication date: 16-Aug-2021
    • Show More Cited By

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