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The effectiveness of embedded values analysis modules in Computer Science education: An empirical study

Authors :
Matthew Kopec
Meica Magnani
Vance Ricks
Roben Torosyan
John Basl
Nicholas Miklaucic
Felix Muzny
Ronald Sandler
Christo Wilson
Adam Wisniewski-Jensen
Cora Lundgren
Ryan Baylon
Kevin Mills
Mark Wells
Source :
Big Data & Society, Vol 10 (2023)
Publication Year :
2023
Publisher :
SAGE Publishing, 2023.

Abstract

Embedding ethics modules within computer science courses has become a popular response to the growing recognition that computer science programs need to better equip their students to navigate the ethical dimensions of computing technologies such as artificial intelligence, machine learning, and big data analytics. However, the popularity of this approach has outpaced the evidence of its positive outcomes. To help close that gap, this empirical study reports positive results from Northeastern University's program that embeds values analysis modules into computer science courses. The resulting data suggest that such modules have a positive effect on students’ moral attitudes and that students leave the modules believing they are more prepared to navigate the ethical dimensions they will likely face in their eventual careers. Importantly, these gains were accomplished at an institution without a philosophy doctoral program, suggesting this strategy can be effectively employed by a wider range of institutions than many have thought.

Subjects

Subjects :
General Works

Details

Language :
English
ISSN :
20539517
Volume :
10
Database :
Directory of Open Access Journals
Journal :
Big Data & Society
Publication Type :
Academic Journal
Accession number :
edsdoj.0315329db9242b8ae00c52fb0748693
Document Type :
article
Full Text :
https://doi.org/10.1177/20539517231176230