Learning about Ethics and Equity in Engineering: Experience of Early- Career EngineersAbstractBackground: As the engineering profession increasingly emphasizes ethical responsibility andequity in practice, the preparation of early-career engineers to navigate these challenges in theworkplace is important.Purpose: This paper aims to report on what early career engineers recall from their learningexperiences regarding ethics and equity at school and the training opportunities they receive attheir engineering workplace.Design/Method: Our study employs a qualitative research approach, utilizing reflexive thematicanalysis (RTA) to examine the learning experiences and preparation of early-career engineers.As part
editing platform.Camtasia allows users to: • Import scripts and synchronize with voiceover tracks • Layer in AI-generated images and real-world footage • Add transitions, callouts, annotations, and quizzes • Export shareable videos or embed in LMS platforms3.2 KEEN 3Cs Integration into Multimedia ProjectsEach project is designed to explicitly promote one or more aspects of the KEEN 3Cs which can be viewedas a standard engineering diagram of input-process/plant-output. • Curiosity (input): Framing the video around an open-ended engineering question or design problem • Connections (process) : Including interdisciplinary links—e.g., ethical, economic, environmental dimensions • Creating Value (output
Conference University of Colorado Boulder, Boulder, CO Copyright © 2025, American Society for Engineering Education 3 ABET Student Outcomes 1 Solving complex engineering problems 2 Applying engineering design to meet needs with multiple considerations 3 Communicate effectively with a range of audiences 4 Recognize ethical and professional responsibilities in engineering contexts 5 Function effectively on a team with leadership and collaboration 6 Conduct experiments, analyze data, and draw conclusions using
13 14 15 . LLMs have been demonstrated toeffectively provide iterative and guided learning experiences 16 17 18 and instant feedback tostudents 19 17 10 20 . There are specific use cases that have shown that LLMs can be used to improveproblem solving and critical thinking 20 17 21 18 . Furthermore, many papers state that LLMs areuseful in supporting educators in the administrative overload 22 23 24 12 .Conversely, there are many papers that identify weaknesses that LLMs have in engineeringeducation. There are numerous studies that point out the widely recognized persistent issue ofinaccuracy of LLMs 25 26 27 15 . LLMs facilitate plagiarism 20 28 29 17 and present many ethical andresponsibility concerns 10 16 20 17 . LLMs also can have
health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors. 2. An ability to communicate effectively with a range of audiences. 3. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. 4. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.GradingGrading Scale A 94-100% B- 80-82.9 D+ 67-69.9 A- 90
extreme environments, to name a few. This paper is a collaboration between a mathematics professor and a mechanical engineering professor, combin-ing expertise in applied mathematics and mechanical engineering applications to create an innovative pedagogicalapproach that bridges the gap between mathematical theory and materials engineering practice.2.2 Connection to ASEE Themes and the USAFA Leader of Character FrameworkThis work contributes to the ASEE theme of Inclusive Teaching Pedagogy through: • Course Design: Integrating Laplace transforms as a fundamental tool for modeling non-steady-state diffusion in engineering materials. • Engineering Ethics and Professional Practice: Encouraging critical thinking beyond formula
students based on this informationaiming for a diversity of social styles on each team. Instructors were directed to be intentionalabout scaffolding and facilitating teamwork, with a recommendation to have students create ateam contract with a focus on ‘team growth’ and a reflection assignment later in the semester.Weekly instructor meetings covered a range of topics, including the week’s content anddiscussions on any team conflicts that arose in class. Topics addressed included challenges withteam communication, student workload division, student attendance, and the instruction ofcontent related to team growth, risk mitigation, and engineering ethics. Instructors activelyexchanged ideas and best practices each week. However, in Fall 2024, only
andcompatibility, and disease specificity (Figure 1). These constraint lists show that the studentsunderstand that their proposed engineering solution for type-1 diabetes treatment needs to beoptimized for safety, efficiency, and patient need. One interesting and relevant constraint thatmakes appearance in the BME 3010 list is ethical collection of cells. This shift suggested that asstudents’ progress from their sophomore to junior year, they develop a deeper awareness ofethical considerations and the complexities involved in BME solutions.In their final submissions, students were asked to create engineering schematic to representphysiological processes involved with their biomedical scenarios. Our content analysis of BME2010 (Appendix Table 1
clearly emphasize that student involvement has no impact on scholarship status.To ensure the ethical integrity of the study, participants are provided informed consent beforechoosing to participate, with the right to withdraw at any time without penalty.Data Analysis Methods and ManagementData analysis includes statistical quantitative analysis applied to survey responses and thematiccoding of interviews and vlogs to identify trends, patterns, and themes related to studentexperiences and program effectiveness. A mixed-methods integration approach will be applied tocompare data types, allowing for the identification of correlations between qualitative insightsand quantitative findings and providing a more comprehensive evaluation of program