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Academic-Industry Collaborations: Effective Measures for Successful Engagement

Published: 28 June 2017 Publication History

Abstract

Drawing on Mishra and Koehler's "TPACK" model [1], we recognize that great Computer Science (CS) teaching demands great pedagogy, great technology skills and great subject knowledge. The main challenge facing any jurisdiction in implementing a CS curriculum within schools is the shortage of new teachers being trained in CS1 and to meet the demand many countries have focused on professional development (PD) for existing teachers across a diverse range of subjects. Some initial PD efforts in CS were often brief, with little follow-on support, and supported through external grant funding. As the need for CS at the K-12 level continues to grow, approaches should be sustainable and scalable. This includes preparing teachers at all levels, pre k-12 and some funding initiatives have included preservice teacher support as part of this [2]. Inside the European Union (EU) the Scientix project [3] represents a focus European Commission (EC) funded projects and is a repository for PD with resources for pedagogy, technology and subject knowledge . Besides this effort, spreading CS knowledge has been supported by volunteers led movements like CoderDojo . The panelists will discuss the following main topics: 1) Pre-service vs in-service, where do teachers come from? 2) Interdisciplinary ways of infusing CS. 3) Ways of replicating across countries CS teacher training initiatives aimed at sustaining and growing the number and quality of both in-service and pre-service teachers able to teach CS effectively. 4) Effective approaches to help teachers to build confidence in their ability to teach CS.

References

[1]
Mishra, P. and Koehler, M.J., 2006. Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers college record, 108(6), p.10--17.
[2]
National Science Foundation (NSF). 2016. Computer Science for all (CS for All: RPP). Retr. from https://www.nsf.gov/pubs/2017/nsf17525/nsf17525.htm.
[3]
R. H. Baldursson, and M. J. Stone. Contributors: À. Gras-Velázquez, M. J. Iglesias, R. Karageorgieva, V. Garoia, V. J. Pérez Rubio. 2015. Scientix 2 results. How Scientix adds value to STEM education. European Schoolnet (EUN)
[4]
S. Sentance, S. Humphreys, and Mark Dorling. 2014. The network of teaching excellence in computer science and master teachers. In Proc. of the 9th Workshop in Primary and Secondary Computing Education (WiPSCE '14). ACM, New York, NY, USA, 80--88.

Cited By

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  • (2020)Faculty in Residence: Improving Preparedness of Underrepresented Students in Computing2020 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT)10.1109/RESPECT49803.2020.9272499(1-4)Online publication date: 10-Mar-2020
  • (2019)From Ivory Tower to Democratization and Industrialization: A Landscape View of Real-World Adaptation of Artificial IntelligenceAdvances in Networked-based Information Systems10.1007/978-3-030-29029-0_19(200-211)Online publication date: 15-Aug-2019

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  1. Academic-Industry Collaborations: Effective Measures for Successful Engagement

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      cover image ACM Conferences
      ITiCSE '17: Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education
      June 2017
      412 pages
      ISBN:9781450347044
      DOI:10.1145/3059009
      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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      New York, NY, United States

      Publication History

      Published: 28 June 2017

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      Author Tags

      1. academic-industry collaborations
      2. industry engagement
      3. industry informed curriculum
      4. student internships

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      ITiCSE '17 Paper Acceptance Rate 56 of 175 submissions, 32%;
      Overall Acceptance Rate 552 of 1,613 submissions, 34%

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      • (2020)Faculty in Residence: Improving Preparedness of Underrepresented Students in Computing2020 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT)10.1109/RESPECT49803.2020.9272499(1-4)Online publication date: 10-Mar-2020
      • (2019)From Ivory Tower to Democratization and Industrialization: A Landscape View of Real-World Adaptation of Artificial IntelligenceAdvances in Networked-based Information Systems10.1007/978-3-030-29029-0_19(200-211)Online publication date: 15-Aug-2019

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