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and Florida Ethics Frameworks in STEM Enculturation IT #6 Institutional Transformation: University of Washington 2023-2028 Anticipating Undesirable Consequences of Computer Science Research IT #7 Institutional Transformation: Virginia Tech 2023-2028 Transforming Cultures of Responsible Research through the Development of Ethics Expertise and Self-Efficacy 3 among Faculty through Social NetworksTable 1 NSF CCE STEM (ER2) funded institutional transformation grantsAfter identifying the seven institutional
] reported results from a quasi-experimental study that evaluated embedded ethics modules in a computer science course. Thisintervention included discussion, perspective-taking activities and stakeholder analysis aroundthe ethics of contact tracing in a public health context. These researchers reported an increase instudents’ level of interest and perceived self-efficacy in addressing ethical issues. Our inventionalso seeks to increase interest and perception regarding ethical issues, and using a similar quasi-experimental methodology, we can review the implications of our intervention on students’perceptions of ethical and professional responsibility. Furthermore, Hess et al. [ 27] usedqualitative methods to investigate empathetic perspective
. Justine reflected on times when she did not trust herinstincts, stating, “The most important thing is to not give up on that instinct. There’s a reasonyou feel that way.”Acknowledging Pressure to Go Along Just like pressure in a liquid or gas may be used by a professional engineer to exert forcein a mechanical system, pressure may be used by a leader to encourage compliance with anunethical directive or request. Of course, pressure in a liquid or gas may be easier to measure andevaluate than the human mind when under stress. Participants emphasized the importance oftheir awareness of what actions others had taken to apply pressure and how they were feelingunder that pressure, both as a means to respond appropriately and to avoid
insistence from engineering and engineering ethics thatfailure is a necessary component of a ‘good’ engineering process and embracing failure isparamount to success in engineering [31], [32], [33], [34], engineering course and programdesign rarely integrate this value. Instead, 40% and 50% student failure rates in engineeringare often explained as not meant to be, unready for rigorous education, or poor work ethic[35], [36]. However, Brandi Geisinger and Raj Raman’s work on understanding attrition ratesidentify ”classroom and academic climate,” “grades and conceptual understanding,” and “self-efficacy and self-confidence” as the three leading reasons students report leaving engineeringdisciplines ([36] p.914). Of these issues, recent investigations