Cited by 172Teaching and Learning ProgrammingGender and Technology in EducationInformation Systems Education and Curriculum Development

Exploring Computer Science: A Case Study of School Reform

Goode, Joanna, Margolis, Jane·2011·ACM Transactions on Computing Education

Abstract

This article will detail efforts to broaden participation in computing in urban schools through a comprehensive reform effort of curricular development, teacher professional development, and policy changes. Beginning with an account of the curricular development of Exploring Computer Science , we will describe the inquiry-based research that underlies these learning materials. Next, we argue that accompanying professional development that supports the curriculum is essential for supporting this inquiry-based approach to computer science instruction. We then explain the policy strategies used to designate this course as a college-preparatory elective and place it in 17 Los Angeles high schools. Finally, we share the initial results of how students experience this course and ongoing challenges encountered when working in the public school system. The article concludes with a discussion of how longitudinal reform effort requires a strong foundation and deep roots to successfully democratize computer science education.

Integrity signals

Registry

Crossref · 10.1145/1993069.1993076

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Goode and Margolis (2011) discussed that teachers exhibit knowledge, skill, and pedagogy gaps, which consequently inhibit efficient teaching.

    “Goode and Margolis (2011) discussed that teachers exhibit knowledge, skill, and pedagogy gaps, which consequently inhibit efficient teaching.”

    From A Systematic Review of Studies on Educational Robotics (2019) · cites this paper as Goode & Margolis, 2011

  • In order to reduce the gap of knowledge and improve their instructional strategies, K-12 educators are encouraged to attend PD workshops.

    “In order to reduce the gap of knowledge and improve their instructional strategies, K-12 educators are encouraged to attend PD workshops (Goode & Margolis, 2011;Harris & Hofer, 2011;Stubbs & Yanco, 2009).”

    From A Systematic Review of Studies on Educational Robotics (2019) · cites this paper as Goode & Margolis, 2011

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Goode, J., & Margolis, J.
Affiliations
  • University of Oregon (US)
  • University of California, Los Angeles (US)
Venue
ACM Transactions on Computing Education
Published
2011-07
Volume
11
Issue
2
Pages
1-16
ISSN
1946-6226 (ISSN-L)
OpenAlex
W2076254283
Cited by
172
References
2
Citations by year
2026: 8 · 2025: 8 · 2024: 11 · 2023: 6 · 2022: 13 · 2021: 11 · 2020: 14 · 2019: 22 · 2018: 16 · 2017: 12 · 2016: 17 · 2015: 13 · 2014: 8 · 2013: 5 · 2012: 5
FWCI
11.04
Type
journal article
Language
en
Open access
closed
Locations
ACM Transactions on Computing Education (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Social Sciences › Gender Studies › Gender and Technology in Education
  • Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
Keywords
computer science education, broadening participation in computing, urban schools, high school curriculum development, teacher professional development, inquiry-based learning, school policy, Los Angeles High School

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review