Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
119 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

The Effectiveness of Embedded Values Analysis Modules in Computer Science Education: An Empirical Study (2208.05453v3)

Published 10 Aug 2022 in cs.CY

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.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (13)
  1. Matthew Kopec (1 paper)
  2. Meica Magnani (2 papers)
  3. Vance Ricks (2 papers)
  4. Roben Torosyan (1 paper)
  5. John Basl (1 paper)
  6. Nicholas Miklaucic (2 papers)
  7. Felix Muzny (1 paper)
  8. Ronald Sandler (1 paper)
  9. Christo Wilson (18 papers)
  10. Adam Wisniewski-Jensen (1 paper)
  11. Cora Lundgren (1 paper)
  12. Kevin Mills (1 paper)
  13. Mark Wells (5 papers)
Citations (8)

Summary

We haven't generated a summary for this paper yet.