Paper ID #38412Promoting Research Quality to Study Mental Models of Ethics andDiversity, Equity, and Inclusion (DEI) in EngineeringDr. Justin L. Hess, Purdue University at West Lafayette (COE) Dr. Justin L Hess is an assistant professor in the School of Engineering Education at Purdue University. Dr. Hess’s research focuses on empathic and ethical formation in engineering education. He received his PhD from Purdue University’s School of Engineering Education, as well as a Master of Science and Bachelor of Science from Purdue University’s School of Civil Engineering. He is the editorial board chair for the Online Ethics
Paper ID #37451Work in Progress: Undergraduate Student Perceptions of MacroethicalIssues in Aerospace EngineeringMs. Elizabeth Ann Strehl, University of Michigan Elizabeth is a graduate student at the University of Michigan studying Engineering Education Research under doctoral advisor Aaron Johnson. Her research focuses on weaving macro ethics into existing aerospace engineering curricula and institutional support methods for working class engineering students. Elizabeth earned her undergraduate degree from the University of Michigan in 2019 with foci in Biomed- ical Engineering and Applied Mathematics.Megan Ennis
syllabi and learning management system data was assembled into codes.Table 1. Original Course Change Typology dimensions and descriptions Dimension Description Significant Learning Degree of focus on engineering domain learning: ABET 1 (problem - Technical solving; STEM principles), 2 (design) and/or 6 (experimentation & data) Significant Learning Evidence of addressing professional skills development: ABET 3 - Professional (communication), 4 (ethics), 5 (teaming, leadership), or 7 (learning strategies) via course grade or course activity Significant Learning Evidence of bringing together technical and professional outcomes - Integration
Paper ID #39845A Literature Review to Explore a Relationship: Empathy and Mindfulness inDesign EducationMs. Rubaina Khan, University of TorontoDr. Adetoun Yeaman, Northeastern University Adetoun Yeaman is an Assistant Teaching Professor in the First Year Engineering Program at Northeastern University. Her research interests include empathy, design education, ethics education and community engagement in engineering. She currently teaches Cornerstone of Engineering, a first-year two-semester course series that integrates computer programming, computer aided design, ethics and the engineering design process within a project
technical engineering courses fail to raise students’ awareness of thesocial and ethical context of engineering design [16, 20], efforts have been made to increasestudents’ understanding of the sociotechnical nature of engineering by integrating engineeringcourses that highlight this relationship into the curriculum [e.g., 1, 21, 22].Emphasizing the societal context of engineering may also help broaden participation amongstudents from underrepresented groups, given previous research suggesting that marginalizedstudents’ attitudes toward engineering and sense of belonging may be positively impacted byintegrating societal relevance into engineering coursework [23-25]. Students’ attitudes (e.g.,sense of belonging, self-confidence, etc.) play a major
community engagement (e.g., likes) and interaction features (e.g., “stitch”) uniqueto this platform [29].To protect autonomy and equality of individuals, we designed our research following the InternetResearch: Ethical Guidelines 3.0 [64] when centering neurodivergent voices on the internet usingperson-centered research methods. We collected publicly available content only (not private) andstored the data in a secure Box folder. To protect the identity of the creators, we also usedpseudonyms for each content creator and blurred out faces and usernames on shared screenshots.We will delete all content on Box at the end of the analysis providing a deidentified dataset to theinstitution’s digital commons for study replication.4.2. Data Collection and
. IntroductionEngineering curriculum frequently focuses on technical, analytical, and decision makingknowledge and skills, evident by the common focus of courses on math and physics principles[1]–[3]. Course problem sets and projects routinely focus on determining variables and solvingequations where there is one “right” answer [4]. However, engineering work is inherently bothtechnical and social [5], [6]. To address major problems of today’s world, engineering studentsneed to develop contextual and cultural competencies, ethical responsibility, and socialengagement knowledge and skills, as well as the ability to work across disciplinary boundaries[7]–[10]. Engagement in these skills, which we collectively call “comprehensive engineeringknowledge and skills”, are
urbanplanning method. These approaches shift the power relationships traditionally established ininterview settings and allowed student participants to shape the direction of their interviews andstorytelling.In this paper, we first describe the central ethical and justice challenges to soliciting andengaging BIPOC students in research about their experiences. After describing the goals of thestudy, we explain two key strategies that allowed us to address these challenges in our datacollection: 1) Use of boundary objects to elicit participants narratives, and 2) the integration ofparticipatory urban planning methods.We show sample data sets to explain the ways our methods provided opportunities to learn morefrom students, to gain a comprehensive
in the Department of Engineering Education and Affiliate Faculty in the Department of Science, Technology & Society and the Center for Human-Computer Interaction at Virginia Tech. Dr. Zhu is also serving as Associate Editor for Science and Engineering Ethics, Associate Editor for Studies in Engineering Education, Editor for International Perspectives at the Online Ethics Center for Engineering and Science, and Executive Committee Member of the International Society for Ethics Across the Curriculum. Dr. Zhu’s research interests include engineering ethics, global and inter- national engineering education, the ethics of human-robot interaction and artificial intelligence, and more recently Asian American students
graduate students (e.g. when they would consider departure, when they wouldchoose to depart) and put through various graduate school experiences. Based on these attributesprogrammed agents can respond to positive or negative examples of the attrition themes identifiedwith the same logic as humans and provide researchers greater insight into different attritionphenomena. ABM also allows for a larger scale of students to be studied in a shorter amount oftime as well as preventing any negative ethical ramifications on human subjects. In this paper, we use two different programming languages to apply ABM to qualitative-focused research data to demonstrate the efficacy of ABM in qualitative research. To achieve thisgoal, we aim to create agent
attributes of, “The ability to learn a new skillfairly quickly.” (Student-05). Being organized as in “staying on top of your tasks” (Student-03),along with having “a positive, upbeat attitude” (Student-03), and being empathetic, patient,collaborative, self-aware and ethical were also important attributes mentioned by students.Learning to manage one’s education. Students responded to the question about what they woulddo differently if they could start over in their engineering education. Most emphasized theimportance of joining organizations, clubs, and making better use of the resources offered by theschool and university (e.g., Career Services and advising). Some described the importance ofhaving an open mind and being more proactive about having a
transformative nature [19]. We employedfour tenets of duoethnography – currere, polyvocal and dialogic, difference, and ethical stance.Currere, our lives and lived experience are the lens with which we use to self-interrogate themeanings we each hold [18] with regards to negotiating educational structures, navigating systems,and developing our professional identities. With polyvocal and dialogic, our stories are specific,and our individual voices, dialogues and opinions are made explicit so that the reader can makeconnections of meaning and understand the context of the conversation [18][20]. Differencehighlights the difference in our journeys and career stages, articulating each person’s unique lifehistory [21] [22] [18] Finally, ethical stance enables
during times of educational disruption.IntroductionOpportunities to develop professional skills happen within and outside of engineeringclassrooms. While different operationalizations exist for professional skills, the NationalAcademy of Engineering and ABET generally agree that students’ development should focus onfive specific areas: teamwork and shared leadership, effective communication, creative problem-solving, business and management principles, and professional and ethical responsibility. Inengineering education, skills development often happens within courses like cornerstone andcapstone design [1], as well as in cocurricular activities such as professional organizations andstudent design teams [2]. Specifically, professional
nature ofsemi- and unstructured interviewing means there is a heavy reliance on the interviewer’s abilityto improvise their presentation of questions in reaction to an interviewee’s responses in real time.This need for intuitive adaptability by the interviewer lends less structured interviewingapproaches the reputation of required skills that must be learned, practiced, and developed overtime. Beyond preparing an interview protocol, interview-based researchers need to managecomplex dynamics experienced during the course of interviews such as timing and rhythm,sensitivity and empathy, navigating the ethics and utility of probing questions, managingemotional reactions that interview participant responses can conjure, or recalling details to
mindretains no active memory of the development of such a belief [30]. It is common for ourespoused beliefs to not match our behaviors [14] suggesting that the nuances of our implicitbeliefs may be missing, or there are contextual factors at play that influence one’s decision-making. Behavioral ethicists encourage individuals to create awareness in decision-makingsituations by being reflective of their choices (behavior) rather than adhering to a specific set ofvalues stipulated by themselves or others [31]. Making judgements with increased awareness canhelp individuals “make decisions that are more in line with their ethical standards” [31, p. 99].This approach to reconciliation between espoused beliefs and future actions serves as thegrounding
co-designin makerspaces [8, 9]. By having students focus on solving problems that they themselves careabout, or at least identifying a problem that has a person in the middle of the system, there areincreased possible opportunities to engage in social justice, and applied ethics [10] in doingengineering work. For the purposes of accreditation, ABET has also propagated a definition forengineering design more broadly as “a process of devising a system, component, or process tomeet desired needs and specifications within constraints” [4]. Additionally additional context andinputs about the global, societal, cultural, and environmental aspects of an engineered system arenow also part of the expected student outcomes ABET delineates.ContextWe
academia.IntroductionAttempts to understand research culture are not new, and there are examples of scholarsmapping, analyzing, and critiquing research culture in the sciences. Some examples are studiesranging from ethical concerns in psychology research [1], critiques of the underlyingphilosophical assumptions of scientific research [2]–[4], developing a framework for scientificresearch in the life sciences [5], to social and political critiques of funding practices in the STEMresearch enterprise [6]–[8]. Following these trends, scholars have explored the nature ofengineering and the cultural underpinnings that guide the field in both practice and training offuture engineers [9]–[13]. These works are often concerned with developing a deeperunderstanding of the
data on these intersecting identities. Interview data were coded infour passes. We identified how the student’s unique values and experiences, mainly related to hiswork ethic, took priority over connecting with others or engaging in departmental or universityprograms. Themes that emerged from the interview data were familiar experiences (seekinghands-on experiences), motivation for engineering degree attainment (familial expectations anddesire for job security), degree attainment resources (strong sense of self-reliance, lack ofreaching out to other sources of support), and strategic gaps (limited understanding of what anengineer does or how to get an engineering job). Understanding this student’s experienceprovides insights into underlying
(2021). He is currently working with Dr. Brent Jesiek with aspirations to study undergraduate engineering students’ ethical development.Russell Korte, The George Washington University Russell Korte, PhD. studies the social, cultural, and professional systems in organizations and higher education, along with their effects on learning and performance. This work focuses on the professional education and socialization of engineering students, the work of practicing engineers, as well as the prepa- ration of professionals for their future careers. Dr. Korte is an Associate Professor of Human and Organizational Learning at The George Washington University where he combines his practical experiences of work in education
(e.g., Institutional ReviewBoard (IRB) to review the ethics around the research) that is necessary for doing research well.To this end, the purpose of this work-in-progress paper is to outline a plan for investigating thebarriers to conducting engineering education research from an industry viewpoint. The questionsguiding this study are: To what extent is it possible for industry professionals to conductengineering education research without an academic partner? What barriers exist for conductingthose engineering education research in education-adjacent industries? This paper aims to build upon the work done by Boden and Borrego [3] to advance ourunderstanding of the organizational barriers to conducting research in industries that
. A global engineer and researcher, Tahsin is an advocate and ally for better inclusion in STEM and beyond.Dr. Dayoung Kim, Virginia Polytechnic Institute and State University Dayoung Kim is an Assistant Professor in the Department of Engineering Education at Virginia Tech. She is broadly interested in engineering practice (e.g., practices and experiences of engineers in various employment settings, such as business organizations), engineering ethics (e.g., social responsibility of engineering professionals), and related policy concerns. Through her research, she aims to identify how best to support innovative and ethical practice of engineers in business settings through education and science & technology
education is significantly different from otherdisciplinary education, it is crucial to examine these psychological factors in the context ofother disciplinary education (Bogaard et al., 2021). For instance, previous research providesinsights into the ethical considerations (Venkatesh et al., 2022) and interdisciplinaryperspectives of engineering education (Yeter et al., 2023), which could inform future researchon the psychological factors influencing career decisions in these fields. In addition, furtherresearch can explore the impact of various forms of support, such as mentorship andprofessional development courses, on engineering students’ career decision-making (Rathoreet al., 2016). Such studies could provide insights into the effectiveness
held fellowships in Ethics of AI and Technology & Society organizations.James N. Magarian, Massachusetts Institute of Technology James Magarian, PhD, is a Sr. Lecturer and Associate Academic Director with the Gordon-MIT En- gineering Leadership (GEL) Program. He joined MIT and GEL after nearly a decade in industry as a mechanical engineer and engineering manager in aerospace/defense. His research focuses on engineering workforce formation and the education-careers transition.Dr. Alison Olechowski, University of Toronto Alison Olechowski is an Assistant Professor in the Department of Mechanical & Industrial Engineer- ing and the Institute for Studies in Transdisciplinary Engineering Education and Practice (ISTEP
was done through an open-ended question asking if participantssaw value in the connection between their laboratories and their in-class learning and futurecareers. Critical reflection has been found to enhance applied learning in professional programssuch as nursing, increasing the quality of student reasoning and understanding [8].Informed consent was obtained with the approval of the Conjoint Faculties Research Ethics Boardof the University of Calgary. These surveys guided students through a critical reflection of theirlaboratory experience using Ash and Clayton’s DEAL model [5]. The revised Bloom’s taxonomy[6] was used as a tool to assess the level of learning required in the laboratory. The student surveyquestions are provided in Appendix
their main points and therelated direct statements. These reflections were mapped to the five EDIPT stages andcentered on their individual and team reactions, which recorded the students' problem-solvingand decision-making skills development throughout the course. Ethical approval wasobtained from the first author’s university.Data AnalysisContent analysis was used to analyze the five reflections. Content analysis is a technique thathas been extensively used in studies analyzing newspaper articles, interview transcripts, andtextbooks. The deductive content analysis method was used to conduct the coding processdrawing upon the EDIPT framework. Cue words or sentences in the reflections included inthe analysis must show evidence of the design
Machine/system statics A/D and D/A CAD (i.e., graphics) Mechatronic Industrial conversion system build robotics Design fundamentals Mechanical systems (e.g., Actuators Computer simulation Robotics Specialty topics - (e.g., reliability, functions, properties, (basics) robotics safety, energy, ethics, materials) liability) Feedback control Pneumatics/hydraulics Digital Control algorithm Robotics (build) Welding and (performance (e.g., properties, power systems/circuits design
ethics and social responsibility, community engagement in engineering, and the experiences of low-income and first- generation students in engineering. She has a B.S. in electrical engineering from MIT and an M.S. and Ph.D. in electrical engineering from Stanford University.Fatemeh Khalkhal Dr. Khalkhal is an assistant professor in mechanical engineering at San Francisco State University (a primarily undergraduate and Hispanic-serving Institution). Her research experience is in developing structure-property relationships in complex fluids and polymer composites, broadening the participation of women and underrepresented minorities in engineering, and understanding the relationship between teamwork experience and
To develop technical engineering skillsFor your own happiness For financial reasonsBecause it suited your interests Service opportunityTo become a better leader Other (please describe)For networking purposesWhat, if any, professional skills do you feel that your co-curricular activities have helpedyou to develop? (multi-select)Critical thinking Oral written communicationProblem solving Leadership skillsEngineering design TeamworkCreativity Professional ethical integrityComputer skills NetworkingTime
that hadobtained ethics clearance from the Canadian university, the site of the study. We began thesefocus group sessions by asking students to describe a course experience where they felt theylearned effectively and explain how they knew they were learning effectively. When wecompleted the fifth focus group, we found that there was much repetition from the first fourinterviews, which suggested a point of data saturation. During the interview, the researchersintentionally recapped some of what they had heard in their own words and checked with theparticipants about these interpretations. A major limitation in our data collection process was thatwe did not explicitly ask if the focus group participants felt that any of their experiences mightbe