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Growing the High School CS Teacher Workforce: Predictors of Success in Achieving CS Certification (Abstract Only)

Published:21 February 2018Publication History

ABSTRACT

With the goal of better understanding how to increase the computer science (CS) teacher workforce, this study examined the factors that predict eventual success in achieving teacher certification in CS. Participants (N = 500) were teachers who were certified in other subject areas and who expressed an interest in becoming certified to teach computer science in Texas. Results showed that teachers were more likely to become certified in CS if they already held a certification in another STEM field or if they had some prior knowledge in CS. The extent to which teachers participated in an online professional development course predicted certification success after controlling for prior CS knowledge and other factors whereas the number of hours spent in face-to-face CS professional development did not. These findings have important implications for policy makers and professional development providers who make investments of time and money to grow CS teacher capacity and increase student access to computer science education at the high school level.

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  1. Growing the High School CS Teacher Workforce: Predictors of Success in Achieving CS Certification (Abstract Only)

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              • Published in

                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

                Copyright © 2018 Owner/Author

                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: 21 February 2018

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                Acceptance Rates

                SIGCSE '18 Paper Acceptance Rate161of459submissions,35%Overall Acceptance Rate1,595of4,542submissions,35%

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