research-article

Re-Shape: A Method to Teach Data Ethics for Data Science Education

Authors:

Ben Rydal Shapiro,

Cody O'Donnell,

Andrew HostetlerAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 13

https://doi.org/10.1145/3313831.3376251

Published: 23 April 2020 Publication History

Abstract

Data has become central to the technologies and services that human-computer interaction (HCI) designers make, and the ethical use of data in and through these technologies should be given critical attention throughout the design process. However, there is little research on ethics education in computer science that explicitly addresses data ethics. We present and analyze Re-Shape, a method to teach students about the ethical implications of data collection and use. Re-Shape, as part of an educational environment, builds upon the idea of cultivating care and allows students to collect, process, and visualize their physical movement data in ways that support critical reflection and coordinated classroom activities about data, data privacy, and human-centered systems for data science. We also use a case study of Re-Shape in an undergraduate computer science course to explore prospects and limitations of instructional designs and educational technology such as Re-Shape that leverage personal data to teach data ethics.

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Cited By

Ray SVarlamov G(2024)Making decisions on the basis of data science in managing social and economic systemsEconomics and Management10.35854/1998-1627-2024-9-1028-103830:9(1028-1038)Online publication date: 21-Oct-2024
https://doi.org/10.35854/1998-1627-2024-9-1028-1038
Opriş D(2024)Perceptions of Students of Education Sciences on Research Ethics and (Re)Formation of the University CurriculumEducation Sciences10.3390/educsci1407070114:7(701)Online publication date: 27-Jun-2024
https://doi.org/10.3390/educsci14070701
Dahn MPeppler KIto M(2024)Making Connections to and From Out-of-School ExperiencesReview of Research in Education10.3102/0091732X23121127147:1(443-473)Online publication date: 27-May-2024
https://doi.org/10.3102/0091732X231211271
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Index Terms

Re-Shape: A Method to Teach Data Ethics for Data Science Education
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models
  2. Visualization
    1. Visualization application domains

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
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Andy Cockburn
University of Canterbury, New Zealand
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Ignacio Avellino
University of Maryland Baltimore County, USA
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Alix Goguey
Grenoble Alpes University, France
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Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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https://doi.org/10.35854/1998-1627-2024-9-1028-1038
Opriş D(2024)Perceptions of Students of Education Sciences on Research Ethics and (Re)Formation of the University CurriculumEducation Sciences10.3390/educsci1407070114:7(701)Online publication date: 27-Jun-2024
https://doi.org/10.3390/educsci14070701
Dahn MPeppler KIto M(2024)Making Connections to and From Out-of-School ExperiencesReview of Research in Education10.3102/0091732X23121127147:1(443-473)Online publication date: 27-May-2024
https://doi.org/10.3102/0091732X231211271
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