abstract

Improving Effectiveness of CS Teacher Professional Development (Abstract Only)

Authors:

Karen Parker,

Sloan Davis,

Chris Stephenson,

Jason RavitzAuthors Info & Claims

SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

Page 728

https://doi.org/10.1145/3017680.3022356

Published: 08 March 2017 Publication History

Abstract

Recent studies on the impact of CS teacher professional development (PD) opportunities have highlighted areas of improvement to effectively grow the number of well-prepared CS teachers. In this BoF Google will share data from CS4HS, an annual program that awards funding to research institutions and education nonprofits globally for the purpose of developing innovative and scalable CS PD that maps to local standards and demands. These data will serve as a starting point to engage the attendees in a wide-ranging and action-oriented discussion on ways the CS education community can improve our PD processes and results.

Index Terms

Improving Effectiveness of CS Teacher Professional Development (Abstract Only)
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
      2. K-12 education
    2. Management of computing and information systems
      1. Project and people management
        Project management techniques

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Information & Contributors

Information

Published In

SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

March 2017

838 pages

ISBN:9781450346986

DOI:10.1145/3017680

General Chairs:
Michael E. Caspersen
Aarhus University
,
Stephen H. Edwards
Virginia Tech
,
Program Chairs:
Tiffany Barnes
North Carolina State University
,
Daniel D. Garcia
University of California, Berkeley

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 March 2017

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Author Tags

Qualifiers

Abstract

Conference

SIGCSE '17

Sponsor:

SIGCSE

SIGCSE '17: The 48th ACM Technical Symposium on Computer Science Education

March 8 - 11, 2017

Washington, Seattle, USA

Acceptance Rates

SIGCSE '17 Paper Acceptance Rate 105 of 348 submissions, 30%;

Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

Index Terms

Recommendations

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