Developing an Online Data Ethics Module Informed by an Ecology of Data Perspective.
A self-perceived lack of training in ethical theories and related pedagogy has kept many engineering faculty members from teaching data ethics, an important aspect of engineering research that has become more salient in recent years. This paper describes the development of a module, which includes c...
| Published in: | Science & Engineering Ethics Vol. 28; no. 2; pp. 1 - 26 |
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| Main Authors: | , , |
| Format: | Article |
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Springer Nature
Apr2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=156538543&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 156538543 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Apr2022 vid: 28 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 156538543 10.1007/s11948-022-00374-5 ppf: 1 ppct: 25 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.3MB tig: atl: Developing an Online Data Ethics Module Informed by an Ecology of Data Perspective. aug: au: Tang, Xiaofeng Mendieta, Eduardo Litzinger, Thomas A. affil: Institute of Education, Tsinghua University, 327 Wennan Building, 100084, Haidian District, Beijing, China Department of Philosophy, The Pennsylvania State University, 129A Sparks Building, 16802, University Park, PA, USA Department of Mechanical Engineering and The Leonhard Center for the Enhancement of Engineering Education, The Pennsylvania State University, 201 Hammond Building, 16802, University Park, PA, USA sug: keyword: Data ethics Engineering ethics education Ethical reasoning Ethics module Instructional design Research ethics ab: A self-perceived lack of training in ethical theories and related pedagogy has kept many engineering faculty members from teaching data ethics, an important aspect of engineering research that has become more salient in recent years. This paper describes the development of a module, which includes concepts, cases, policies, and best practices, to support the teaching of ethical data practice. Based on a user-oriented design approach and a moral literacy framework, the module was designed to be used in different courses and co-curricular activities for students of varying levels of competence to improve their ability to identify and analyze ethical problems associated with the handling of research data. This work seeks to encourage ethical reflection on researchers’ data practice through the idea of an “ecology of data,” which highlights the co-production of data by multiple, interconnected, and heterogeneous actors. This paper also presents online and in-class evidence about the impact and limitations of the module, which is now available for interested researchers and instructors to browse and use. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2022. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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