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Building Pre-Service Teacher Interest in Computer Science Education through Mentoring Experiences (Abstract Only)

Published: 17 February 2016 Publication History

Abstract

K-12 teachers have an important role to play in introducing children to computer science. However, most teachers lack explicit training in computer science. This project explored questions related to the experiences of pre-service teachers as they mentored K-12 children in computer science in an informal learning environment. Through a grant-funded project at a comprehensive public university in the Southeastern United States, five pre-education major undergraduate students in an introductory education course learned basic computer programming, interacted with a K-12 computer science teacher around strategies for introducing computer science to kids, and mentored children in exploring computer science in an informal setting. Quantitative and qualitative analyses of the data suggest these experiences were effective in increasing student awareness of critical issues related to computer science education, increasing their knowledge and skills related to Scratch, increasing their self-perception as potential mentors in basic computer programming concepts, and increasing their attraction to STEM majors and endorsements.

References

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Wilson, C., Sudol, L.A., Stephenson, C., & Stehlik, M. (2010). Running on empty: The failure to teach K-12 computer science in the digital age. Association for Computing Machinery (ACM), Computer Science Teachers Association (CSTA). Retrieved from http://csta.acm.org/runningonempty/fullreport2.pdf
[2]
Computer Science Teachers Association (CSTA), Association for Computing Machinery (ACM). (2013). Bugs in the system: Computer science teacher certification in the U.S. {Report}. Retrieved from http://csta.acm.org/ComputerScienceTeacherCertification/sub/CSTA_BugsInTheSystem.pdf
[3]
Epstein, J. (2009, October 6). Computing surge in Georgia. Retrieved from https://www.insidehighered.com/news/2009/10/06/georgia
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Bureau of Labor Statistics (2013). Labor projections. Retrieved from: http://www.bls.gov
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NCWIT (2008). Computing Education and Future Jobs: National, State and Congressional District Data. Retrieved from http://www.ncwit.org/edjobsmap
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Wing, J. M. (2006). Computational Thinking. Communications Of The ACM, 49(3), 33--35.
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Kafai, Y., & Burke, Q. (2013). Computer programming goes back to school. Phi Delta Kappan, 95(1), 61--65.

Cited By

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  • (2019)The Rise of the Digital PolymathHandbook of Research on Integrating Computer Science and Computational Thinking in K-12 Education10.4018/978-1-7998-1479-5.ch011(191-219)Online publication date: 13-Dec-2019
  • (2019)Making Computer Science Education MandatoryProceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3304221.3319758(422-428)Online publication date: 2-Jul-2019
  • (2018)Teaching how to teach computational thinkingProceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3197091.3197120(69-74)Online publication date: 2-Jul-2018

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  1. Building Pre-Service Teacher Interest in Computer Science Education through Mentoring Experiences (Abstract Only)

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        cover image ACM Conferences
        SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education
        February 2016
        768 pages
        ISBN:9781450336857
        DOI:10.1145/2839509
        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: 17 February 2016

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        Author Tags

        1. computer science education
        2. k-12
        3. mentoring
        4. pre-service teacher education
        5. service learning

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        • University System of Georgia

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        SIGCSE '16 Paper Acceptance Rate 105 of 297 submissions, 35%;
        Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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        Cited By

        View all
        • (2019)The Rise of the Digital PolymathHandbook of Research on Integrating Computer Science and Computational Thinking in K-12 Education10.4018/978-1-7998-1479-5.ch011(191-219)Online publication date: 13-Dec-2019
        • (2019)Making Computer Science Education MandatoryProceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3304221.3319758(422-428)Online publication date: 2-Jul-2019
        • (2018)Teaching how to teach computational thinkingProceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3197091.3197120(69-74)Online publication date: 2-Jul-2018

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