extended-abstract

A Flexible School and College Level Qualification in Data Science

Authors:

Kate Farrell,

Jo Watts,

Judy Robertson,

Tommy LawsonAuthors Info & Claims

WiPSCE '23: Proceedings of the 18th WiPSCE Conference on Primary and Secondary Computing Education Research

Article No.: 24, Pages 1 - 2

https://doi.org/10.1145/3605468.3609769

Published: 27 September 2023 Publication History

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Abstract

This poster abstract describes the design and development of a high school-level qualification in data science. The qualification has been available for 4 years; 1982 learners have completed the course to date across 30 educational institutions. We describe the structure of the course and its pedagogical principles. We conclude with a set of recommendations for other educators who are designing similar qualifications in other school systems.

References

[1]

F. Dixon and D. Worrell. 2016. Formative and Summative Assessment in the Classroom. Theory Into Practice (2016).

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[2]

Kate Farrell and Judy Robertson. 2019. Interdisciplinary data education: Teaching primary and secondary learners how to be data citizens. In Proceedings of the 14th WiPSCE Conference on Primary and Secondary Computing Education Research (WiPSCE ’19) (Glasgow, Scotland). ACM.

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[3]

K Farrell and J Watts. 2020. Data Science: Educators’ Guide to the National Progression Award. https://dataschools.education/resource/guide-for-educators-teaching-the-npa-in-data-science/

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Birte Heinemann, Simone Opel, Lea Budde, Carsten Schulte, Daniel Frischemeier, Rolf Biehler, Susanne Podworny, and Thomas Wassong. 2018. Drafting a data science curriculum for secondary schools. In Proceedings of the 18th Koli calling international conference on computing education research.

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T Lawson and A Wait. 2021. Online Learning: Cyber Security and Data Science National Progression Awards. https://osf.io/5x4qr

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Koby Mike, Tamir Hazan, and Orit Hazzan. 2020. Equalizing data science curriculum for computer science pupils. In Proceedings of the 20th Koli Calling International Conference on Computing Education Research.

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Index Terms

A Flexible School and College Level Qualification in Data Science
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        Information science education
      2. K-12 education

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Published In

WiPSCE '23: Proceedings of the 18th WiPSCE Conference on Primary and Secondary Computing Education Research

September 2023

173 pages

ISBN:9798400708510

DOI:10.1145/3605468

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

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Published: 27 September 2023

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WiPSCE '23

WiPSCE '23: The 18th WiPSCE Conference on Primary and Secondary Computing Education Research

September 27 - 29, 2023

Cambridge, United Kingdom

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Overall Acceptance Rate 104 of 279 submissions, 37%

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Abstract

References

Index Terms

Recommendations

Interdisciplinary Data Education: Teaching Primary and Secondary learners how to be data citizens

High School Calculus and Computer Science Course Taking as Predictors of Success in Introductory College Computer Science

University-wide Adoption of Data Science

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