Integrating Data Science Ethics into an Undergraduate Major: A Case Study

Autor/inn/en	Baumer, Benjamin S.; Garcia, Randi L.; Kim, Albert Y.; Kinnaird, Katherine M.; Ott, Miles Q.
Titel	Integrating Data Science Ethics into an Undergraduate Major: A Case Study
Quelle	In: Journal of Statistics and Data Science Education, 30 (2022) 1, S.15-28 (14 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Baumer, Benjamin S.) ORCID (Kim, Albert Y.) ORCID (Kinnaird, Katherine M.) ORCID (Ott, Miles Q.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1080/26939169.2022.2038041
Schlagwörter	Ethics; Statistics Education; Data Analysis; Teaching Methods; Undergraduate Students; Case Studies; Majors (Students); Social Networks; Copyrights; Music; Race; Ethnicity; Capstone Experiences; Curriculum Design; Mathematical Models; Student Attitudes; College Faculty; Self Evaluation (Groups); Program Descriptions; Massachusetts + Suchen Sie Ihr Suchwort? Ethik; Auswertung; Teaching method; Lehrmethode; Unterrichtsmethode; Case study; Fallstudie; Case Study; Social network; Soziales Netzwerk; Musik; Rasse; Abstammung; Ethnizität; Lehrplangestaltung; Mathematical model; Mathematisches Modell; Schülerverhalten; Fakultät; Self evaluation; Group; Groups; Selbstevaluation; Gruppe (Soz); Master-Studiengang
Abstract	We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our senior capstone course, as well as from side-to-side through co-curricular programming. We also provide six examples of data science ethics modules used in five different courses at our liberal arts college, each focusing on a different ethical consideration. The modules are designed to be portable such that they can be flexibly incorporated into existing courses at different levels of instruction with minimal disruption to syllabi. We connect our efforts to a growing body of literature on the teaching of data science ethics, present assessments of our effectiveness, and conclude with next steps and final thoughts. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01