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The Effectiveness of Embedded Values Analysis Modules in Computer Science Education: An Empirical Study

Authors :
Kopec, Matthew
Magnani, Meica
Ricks, Vance
Torosyan, Roben
Basl, John
Miklaucic, Nicholas
Muzny, Felix
Sandler, Ronald
Wilson, Christo
Wisniewski-Jensen, Adam
Lundgren, Cora
Mills, Kevin
Wells, Mark
Publication Year :
2022

Abstract

Embedding ethics modules within computer science courses has become a popular response to the growing recognition that CS programs need to better equip their students to navigate the ethical dimensions of computing technologies like AI, 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's program that embeds values analysis modules into CS 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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2208.05453
Document Type :
Working Paper