Facilitating the Integration of Ethical Reasoning into Quantitative Courses: Stakeholder Analysis, Ethical Practice Standards, and Case Studies
Rochelle E. Tractenberg, Suzanne Thorton

TL;DR
This paper explores integrating ethical reasoning into quantitative courses through stakeholder analysis and ethical standards, emphasizing practical teaching methods beyond traditional case studies to foster responsible practice among students.
Contribution
It introduces a framework for teaching ethical reasoning in quantitative courses using stakeholder analysis and ethical standards, distinct from research-focused ethics training.
Findings
Stakeholder analysis enhances ethical understanding in quantitative contexts.
Ethical reasoning can be effectively integrated into non-research courses.
The approach promotes responsible decision-making among students.
Abstract
Case studies are typically used to teach 'ethics', but in quantitative courses it can seem distracting, for both instructor and learner, to introduce a case analysis. Moreover, case analyses are typically focused on issues relating to people: obtaining consent, dealing with research team members, and/or potential institutional policy violations. While relevant to some research, not all students in quantitative courses plan to become researchers, and ethical practice is an essential topic for students of of mathematics, statistics, data science, and computing regardless of whether or not the learner intends to do research. Ethical reasoning is a way of thinking that requires the individual to assess what they know about a potential ethical problem (their prerequisite knowledge), and in some cases, how behaviors they observe, are directed to perform, or have performed, diverge from what…
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Taxonomy
TopicsEthics in Business and Education · Statistics Education and Methodologies
