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Computer Science Teaching Knowledge: A Framework and Assessment (Abstract Only)

Published:08 March 2017Publication History

ABSTRACT

Educators, researchers, politicians, tech companies, and others continue to advocate for the importance of K-12 students learning computer science in our increasingly tech-driven society. One way school districts in the United States address this growing demand is by allowing teachers certified in other disciplines to lead computer science courses. Summer and weekend professional development opportunities support these educators in developing the expertise needed for effective computer science teaching, but a great portion of their learning to teach computer science will occur through on-the-job experiences. Our four-year NSF EHR grant explores how a job-embedded professional development program that pairs high school teachers with tech industry professionals supports educators in acquiring computer science teaching knowledge. The research presented in this poster focuses on the third year of the study and includes (a) a theoretical component focused on creating a framework to explain on-the-job computer science teaching knowledge development based on case studies with six teachers, and (b) an empirical component focused on the creation and administration of a computer science teaching knowledge assessment. By the time of the SIGCSE symposium, we expect to have pre-test results from the first administration of our teaching knowledge assessment, completed by both high school teachers and their collaborating tech industry professionals. This poster will present our theoretical framework, resultant teaching knowledge assessment with sample items, and analysis of participants' assessment responses and their relationship to specific teaching experiences.

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  1. Computer Science Teaching Knowledge: A Framework and Assessment (Abstract Only)

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      • Published in

        cover image ACM Conferences
        SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
        March 2017
        838 pages
        ISBN:9781450346986
        DOI:10.1145/3017680

        Copyright © 2017 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: 8 March 2017

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        • poster

        Acceptance Rates

        SIGCSE '17 Paper Acceptance Rate105of348submissions,30%Overall Acceptance Rate1,595of4,542submissions,35%

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