Yadav A, Connolly C, Berges MP, Chytas C, Franklin C, Hijón-Neira R, Macann V, Margulieux L, Ottenbreit-Leftwich A, Warner JR (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Association for Computing Machinery
Pages Range: 65-93
Conference Proceedings Title: Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
ISBN: 9798400700101
Throughout the world, Computer Science Education (CSE) has ex-panded exponentially over the past decade, focused on teaching primary and secondary students computing ideas and tools. To teach all these students computer science (CS), models for teacher preparation range from one and done professional learning work-shops to full certificate and licensure programs. This report provides a landscape of how CS teachers are prepared academically in var-ious countries and makes evidence-based recommendations for how teachers should be educated to develop knowledge and skill to teach computer science. It also discusses how to develop these knowledge systems while promoting instruction that is equitable and centers students in the classroom. We brought together a group of international computer science education scholars who have been engaged in teacher preparation. In addition to what knowl-edge teachers need to teach CS, we also focused on how the field is preparing teachers and the role of computer science in the design of technology tools to achieve goals while mitigating potential societal harms.
APA:
Yadav, A., Connolly, C., Berges, M.-P., Chytas, C., Franklin, C., Hijón-Neira, R.,... Warner, J.R. (2022). A Review of International Models of Computer Science Teacher Education. In Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (pp. 65-93). Dublin, IE: Association for Computing Machinery.
MLA:
Yadav, Aman, et al. "A Review of International Models of Computer Science Teacher Education." Proceedings of the 27th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE-WGR 2022, Dublin Association for Computing Machinery, 2022. 65-93.
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