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A Co-Instructional Model to Develop High School CS Teachers in Historically Underrepresented Communities: Building Capacity with a Purpose

Published:16 May 2024Publication History

ABSTRACT

Many secondary school teachers in historically lower performing districts find themselves asked to teach CS without adequate training. They find themselves struggling to build a CS program without the environment necessary to foster student engagement and success. To improve educator preparedness, and transform school cultures, Innovating Detroit's Robotics Agile Workforce (iDRAW) offers one year of co-instruction by a university instructor with a high school teacher to better prepare the teacher to provide rigorous CS instruction independently in future years. Reflections from this university co-instructor are contained, with insights into the preparation of CS teachers and initiation of CS courses in high schools in the future.

References

  1. Code.org Advocacy Coalition, ?2023 State of Computer Science Education," Code.org Advocacy Coalition, 2023. [online]. Available: [https://advocacy.code.org/state-handouts/Michigan.pdf] [Accessed January 15, 2024].Google ScholarGoogle Scholar
  2. Michigan Department of Education, "State of Computer Science Education in Michigan," Michigan Department of Education, 2020. [online]. Available: [https://www.michigan.gov/-/media/Project/Websites/mde/Year/2021/03/09/State_of_Computer_Science_Education_in_Michigan_Report.pdf] [Accessed January 15, 2024].Google ScholarGoogle Scholar
  3. National Center for Education Statistics, "Characteristics of Public School Teachers," Condition of Education, 2023. [online]. Available: https://nces.ed.gov/programs/coe/indicator/clr/public-school-teachers [Accessed January 15, 2024].Google ScholarGoogle Scholar

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  1. A Co-Instructional Model to Develop High School CS Teachers in Historically Underrepresented Communities: Building Capacity with a Purpose

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    • Published in

      cover image ACM Conferences
      RESPECT 2024: Proceedings of the 2024 on RESPECT Annual Conference
      May 2024
      321 pages
      ISBN:9798400706264
      DOI:10.1145/3653666

      Copyright © 2024 Owner/Author

      This work is licensed under a Creative Commons Attribution International 4.0 License.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 May 2024

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