Big Data & Society (Jan 2023)

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

  • 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

DOI
https://doi.org/10.1177/20539517231176230
Journal volume & issue
Vol. 10

Abstract

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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.