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

要旨

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.

キーワード
Data ethics
care ethics
data science education
information visualization
data literacy
data privacy
computer science education
re-shape
interaction geography slicer
著者
Ben Rydal Shapiro
Georgia Institute of Technology, Atlanta, GA, USA
Amanda Meng
Georgia Institute of Technology, Atlanta, GA, USA
Cody O'Donnell
Georgia Institute of Technology, Atlanta, GA, USA
Charlotte Lou
Georgia Institute of Technology, Atlanta, GA, USA
Edwin Zhao
Georgia Institute of Technology, Atlanta, GA, USA
Bianca Dankwa
Georgia Institute of Technology, Atlanta, GA, USA
Andrew Hostetler
Vanderbilt University, Nashville, TN, USA
DOI

10.1145/3313831.3376251

論文URL

https://doi.org/10.1145/3313831.3376251

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Equity & values in learning systems & activities

Paper session
313A O'AHU
5 件の発表
2020-04-30 01:00:00
2020-04-30 02:15:00
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