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Data-centricity: a challenge and opportunity for computing education

Authors:

Shriram Krishnamurthi,

Kathi FislerAuthors Info & Claims

Communications of the ACM, Volume 63, Issue 8

Pages 24 - 26

https://doi.org/10.1145/3408056

Published: 22 July 2020 Publication History

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Abstract

Rethinking the content of introductory computing around a data-centric approach to better engage and support a diversity of students.

References

[1]

Computer Science Curricula 2013 Curriculum Guidelines for Undergraduate Degree Programs in Computer Science. The Joint Task Force on Computing Curricula Association for Computing Machinery (ACM) IEEE Computer Society (Dec. 20, 2013); https://bit.ly/3drQiA9

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Konold, C., Finzer, W. and Kreetong, K. Modeling as a core component of structuring data. Statistics Education Research Journal 16, 2 (Nov. 2017), 191--212.

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Ray-Riek, M. Powerful Problem Solving: Activities for Sense Making with the Mathematical Practices. Heineman, 2013

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Wickham, H. Advanced R. Second edition. Chapman and Hall/CRC The R Series, 2019.

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Wickham, H. Tidy Data. Journal of Statistical Software 54, 10 (2014)

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Cited By

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Kazerouni ALehr JWood ZStephenson BStone JBattestilli LRebelsky SShoop L(2024)Community Action Computing: A Data-centric CS0 CourseProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630807(646-652)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630807
Barany AScarola AAcquah AReza SJohnson MWalker J(2024)Learning designs that empower: navigating sandbox data science at the intersection of computing, big data and social mediaInformation and Learning Sciences10.1108/ILS-12-2023-0211125:10(794-812)Online publication date: 22-Aug-2024
https://doi.org/10.1108/ILS-12-2023-0211
Brous PHiel M(2024)Principles for the Secure Exchange of Sensitive Data Across Classified Networks: A Data-Centric ApproachElectronic Government10.1007/978-3-031-70274-7_2(18-31)Online publication date: 3-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-70274-7_2
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Index Terms

Data-centricity: a challenge and opportunity for computing education
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

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Information

Published In

Communications of the ACM Volume 63, Issue 8

August 2020

93 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3411844

Editor:
Andrew A. Chien
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

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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Published: 22 July 2020

Published in CACM Volume 63, Issue 8

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Kazerouni ALehr JWood ZStephenson BStone JBattestilli LRebelsky SShoop L(2024)Community Action Computing: A Data-centric CS0 CourseProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630807(646-652)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630807
Barany AScarola AAcquah AReza SJohnson MWalker J(2024)Learning designs that empower: navigating sandbox data science at the intersection of computing, big data and social mediaInformation and Learning Sciences10.1108/ILS-12-2023-0211125:10(794-812)Online publication date: 22-Aug-2024
https://doi.org/10.1108/ILS-12-2023-0211
Brous PHiel M(2024)Principles for the Secure Exchange of Sensitive Data Across Classified Networks: A Data-Centric ApproachElectronic Government10.1007/978-3-031-70274-7_2(18-31)Online publication date: 3-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-70274-7_2
Delzanno GGrosso DGuerrini GLebole FPriarone SRoccotiello ESugliano AZanone GAdorni G(2024)BotBid - From Botany to Big Data: Combining Citizen Science and Innovative Teaching MethodologiesHigher Education Learning Methodologies and Technologies Online10.1007/978-3-031-67351-1_8(112-127)Online publication date: 19-Sep-2024
https://doi.org/10.1007/978-3-031-67351-1_8
Lu KKrishnamurthi SFisler KTshukudu E(2023)What Happens When Students Switch (Functional) Languages (Experience Report)Proceedings of the ACM on Programming Languages10.1145/36078577:ICFP(796-812)Online publication date: 31-Aug-2023
https://dl.acm.org/doi/10.1145/3607857
Liu XGolen ERaj RFluet KAivaloglou EFletcher GMiedema D(2023)Offering Data Science Coursework to Non-Computing MajorsProceedings of the 2nd International Workshop on Data Systems Education: Bridging education practice with education research10.1145/3596673.3596971(44-49)Online publication date: 23-Jun-2023
https://dl.acm.org/doi/10.1145/3596673.3596971
Mak JRosato JHosten MDoyle MStephenson BDorn BSoh LBattestilli L(2023)Data Science Landscape in Preservice Teacher EducationProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 210.1145/3545947.3576264(1317-1317)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1145/3545947.3576264
Rivera EKrishnamurthi S(2022)Structural versus pipeline composition of higher-order functions (experience report)Proceedings of the ACM on Programming Languages10.1145/35476336:ICFP(343-356)Online publication date: 31-Aug-2022
https://dl.acm.org/doi/10.1145/3547633
Fisler K(2022)Data-Centricity: Rethinking Introductory Computing to Support Data ScienceProceedings of the 1st International Workshop on Data Systems Education10.1145/3531072.3535317(1-3)Online publication date: 12-Jun-2022
https://dl.acm.org/doi/10.1145/3531072.3535317
Burridge JFekete ABecker BQuille KLaakso MBarendsen ESimon (2022)Teaching Programming for First-Year Data ScienceProceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 110.1145/3502718.3524740(297-303)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3502718.3524740
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META/DATA: A Digital Poetics

Data materialization: a hybrid process of crafting a teapot

Data Aesthetics: The Ethics and Aesthetics of Big Data Gathering seen from the Artists Eye

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