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Developing Online Professional Development for High School Teachers to Teach Computer Science Online

Published:07 July 2022Publication History

ABSTRACT

Creating effective professional development is critical to support high school teachers who teach computer science (CS) online. The context of this study is based on a current Research to Practice Partnership (RPP) between the University of North Carolina at Charlotte in the United States and North Carolina Virtual Public School (NCVPS). Ten high school teachers from the NCVPS who teach CS online participated in a summer workshop and recommended design, facilitation, and evaluation strategies to be included in effective professional development (PD). The summer workshop was conducted synchronously via Zoom. It provided the opportunity to discuss teacher perceptions related to the research questions "What design, facilitation, and assessment strategies are helpful to include in an AP Computer Science Advanced course?" and "What recommendations do you have for designing an online professional development course for high school teachers to teach computer science online?" The questions were posed through an online collaborative Jamboard, and the affinity diagram method was used for data collection and document analysis was conducted. The teacher posts were qualitatively analyzed to identify common themes. Findings for professional development on content design included CS content, how to teach CS, and CS tools and activities. For assessment, they recommended content knowledge assessments, including lab assignments, single and pair programming, and coding assessments. They recommended tools for supplemental instruction, integration of discussion boards for interaction, and tools and strategies to provide feedback for professional development.

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  • Published in

    cover image ACM Conferences
    ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2
    July 2022
    686 pages
    ISBN:9781450392006
    DOI:10.1145/3502717

    Copyright © 2022 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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 7 July 2022

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