Conference Session

Design in Engineering Education Division (DEED) - Emerging and Sustainable Design Practices

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mikayla Dutkiewicz, Embry-Riddle Aeronautical University; Bryan Watson, Embry-Riddle Aeronautical University - Daytona Beach; Alexander R. Murphy, Florida Polytechnic University

Tagged Divisions

Design in Engineering Education Division (DEED)

between raters, which reflects excellent agreement [27]. The average score of thetwo raters were used for all total rubric score analysis.Once IRR is achieved, an independent sample t-test was conducted to compare the performanceof participants in Condition 1 versus those in Condition 2, based on their rubric scores.Additionally, the study assessed learning outcomes by comparing post-assessment survey resultsfor each participant, along with a comparative analysis of these outcomes between the twoparticipant groups.2.4 Ethical ConsiderationsAll participants were briefed on the study's purpose and provided with informed consent forms.Participants were also assigned a random 5-digit participant ID number to keep their personal dataconfidential. The

Conference Session

ECCNE Technical Session 1 - Nuclear Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Katie Snyder, University of Michigan; Aditi Verma, University of Michigan; Aisha Jagne, University of Michigan; Andy Pham, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion

Paper ID #49251Harper Academy All Stars: a summer program aimed at improving diversity,innovation, and interest in the nuclear engineering technologiesDr. Katie Snyder, University of Michigan Dr. Snyder is a lecturer and assistant research scientist for the University of Michigan’s College of Engineering. She has been teaching communication, ethics, and design for more than 17 years.Aditi Verma, University of Michigan Aditi Verma (she/her) is an Assistant Professor in the Department of Nuclear Engineering and Radiological Sciences at the University of Michigan. Aditi is broadly interested in how fission and fusion technologies

Conference Session

Tech Session 5: Toward a New Paradigm in Environmental Engineering: From Knowledge Frameworks to Learning Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jennifer Mueller PE, ENV SP, Rose-Hulman Institute of Technology; Michelle Marincel Payne, Rose-Hulman Institute of Technology; Namita Shrestha, Rose-Hulman Institute of Technology

Tagged Divisions

Environmental Engineering & Sustainability Division (ENVIRON)

degrees of rehabilitation. Dr. Mueller’s areas of interest include water quality, sustainable design, watershed hydrology, and river hydraulics. Current projects involve pedagogical studies for incorporating sustainability and ethical decision making in undergraduate engineering education, with an emphasis on touchpoints throughout the four-year curriculum.Dr. Michelle Marincel Payne, Rose-Hulman Institute of Technology Dr. Michelle Marincel Payne is an Associate Professor in the Civil and Environmental Engineering at Rose-Hulman Institute of Technology. She earned her Ph.D. in Environmental Engineering from the University of Illinois at Urbana-Champaign, her M.S. in Environmental Engineering from Missouri

Collection

2025 Northeast Section Conference

Authors

Hasan Baig; Phillip Bradford

://www.codesignal.com.properly structure code over time. [5] zyBooks, https://www.zybooks.com. These outcomes highlight the continued effectiveness of [6] Pratha Pratim Ray, “ChatGPT: A comprehensive review on background,the proposed activity in assessing students’ coding abilities on application, key challenges, bias, ethics, limitations and future scope”, Internet of Things and Cyber-Physical Systems, V 3, 2023, pp 121-154.paper while alleviating the grading workload on instructors. [7] Brady Lund et. al., “ChatGPT and a New Academic Reality: AI-Written

Collection

2025 Northeast Section Conference

Authors

Sunil Dehipawala; Guozhen An; Arkadiy Portnoy; Tak Cheung

V. SUSTAINABILITY perspective to match our work to the reported sensemaking Sustainability is maintained by the requirement of results [3].assessment. Specifically, our sustainability plan echoed the There are at least two remaining questions: Can AI Largelearning outcomes of Calculus Physics One in our College [2]. Language Models do spatial reasoning? There are diffusion Using AI ethically to enhance reading and understanding models Generative AI for text to image technology. Cantext in physics, engineering, and forensic science majors. The Computer

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

question, guidelines regarding the use of AI-generated contentKeywords—artificial intelligence; AI; ChatGTP, generative AI,Gen AI, academic, higher education, were clearly established on the syllabus. C. Permitted Use Cases of AI  Brain-Machine Interface: Possibilities, applications, ethics, and prospects As described, intended use cases of AI-generated content  Kansei Engineering and Emotional Design: Components, were covered at the start of the HMS course. Students knew AI

Collection

2025 Northeast Section Conference

Authors

Boluwatife E. Faremi; Javier O. Pinzon-Arenas; Amir Mohammad Karimi Forood; Josef Kundrat; Hugo F. Posada-Quintero; Ann Marie Hoyt-Brennan; Wendy A. Henderson

,10.1093/jamia/ocae209. Challenges, and Ethical Considerations,” J Med Edu, vol. 22, no. 1, Jan. 2024, doi: 10.5812/jme-140890.[4] K. Gupta, R. Hajika, Y. S. Pai, A. Duenser, M. Lochner, and M.Billinghurst, “In AI We Trust: Investigating the Relationship between [9] F. Li and S. Betts, “(PDF) Trust: What It Is And What It Is Not,”Biosignals, Trust and Cognitive Load in VR,” in Proceedings of the 25th ResearchGate, Oct. 2024, doi: 10.19030/iber.v2i7.3825.ACM Symposium on Virtual Reality Software and Technology, in VRST ’19. [10

Collection

2025 Rocky Mountain Section Conference

Authors

Pedro Cordeiro Povoa Cupertino; Anubhav Pant; Yuto Minami; Ami Goto; Kubeshavarsha Kalithasan; Adam Carlton Lynch

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

Conference Session

Full Papers IV

Collection

FYEE 2025 Conference

Authors

Rumeysa Tekin Baturalp, Texas Tech University; Nurcan Bac, Texas Tech University

Tagged Topics

FYEE 2025

overview of their program,including curriculum structure, research strengths, career pathways, and real-world applications.Although a common presentation template is shared to promote consistency, departments vary inhow they deliver their sessions, often emphasizing different aspects of their field.Despite the structured nature of the seminar, limited research has evaluated its effectiveness inhelping students make informed choices about their major. Published studies highlight the valueof early exposure to disciplinary information and structured advising in supporting decision-making and retention in STEM fields [1, 2]. Additional work emphasizes the need for programsto align with student values—particularly regarding real-world relevance, ethics

Conference Session

DSAI Technical Session 1: K–12 and Early Exposure to Data Science and AI

Collection

2025 ASEE Annual Conference & Exposition

Authors

Faiza Zafar, Rice University; Carolyn Nichol, Rice University; Matthew Cushing, Rice University

Tagged Topics

Diversity

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

technologiesconnect to real-world problems, while also enhancing their knowledge and skills, learningattitudes, and interests in technology [12].Teacher Professional Development (PD) for ML The success of integrating Machine Learning (ML) into the elementary curriculum isheavily dependent on the preparedness of educators. Traditional teacher professionaldevelopment (PD) programs often focus on subject-specific content or pedagogical strategies,but with the growing importance of AI and ML, there is a clear need for professionaldevelopment that specifically targets these areas. Research highlights that teachers requirefoundational training in both the technical and ethical aspects of AI and ML to feel confident inteaching these topics [1, 13]. Thus

Conference Session

ERM Technical Session: Developing Engineering Competencies I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Renee M Clark, University of Pittsburgh; Samuel J Dickerson, University of Pittsburgh; Andreea Toader, University of Pittsburgh

Tagged Divisions

Educational Research and Methods Division (ERM)

” option was also available. Thepanelists were also asked to identify the five most-relevant conceptions and rank them. Thereferences for these conceptions of judgment are given by [5-36]. Table 1: Conceptions of Judgment from the Literature 1. Application of one’s knowledge or experience 2. Approximation that achieves reasonableness 3. Assessment of the reasonableness of a solution, assumption, etc. 4. Consideration of societal, ethical, cultural, global, or aesthetic contexts or issues 5. Creativity (within constraints) 6. Critical thinking (i.e., disciplined gathering and use of information to guide action) 7.Decision making (including weighing of issues) amidst complexity and competing demands, objectives, or

Conference Session

Civil Engineering Capstone Showcase

Collection

2025 ASEE Annual Conference & Exposition

Authors

Brad Wambeke, United States Air Force Academy

Tagged Divisions

Civil Engineering Division (CIVIL)

& IIThe two-course capstone experience for the USAFA civil engineering program was firstexecuted during the 2023-2024 academic year. CIVENGR 451 (Civil Engineering CapstoneDesign I) occurs in the fall and CIVENGR 452 (Civil Engineering Capstone Design II) occurs inthe spring. Each course is worth 3.0 credit hours, and has the following objectives: 1. Work effectively within a design team in a professional and ethical manner. 2. Apply the civil engineering design process and conduct iterative analysis and design of a solution to a challenging, ill-defined and open-ended problem. 3. Apply knowledge of math, science, and engineering to design a system, component, or process in more than one civil engineering context in

Conference Session

ME Division 6: Innovative Simulation and Extended Reality Techniques

Collection

2025 ASEE Annual Conference & Exposition

Authors

Osama Desouky, Texas A&M University at Qatar; Marwa AbdelGawad, Hamad Bin Khalifa University

Tagged Divisions

Mechanical Engineering Division (MECH)

years, she has developed a keen interest in advancing innovation in engineering education. At present, she actively explores various methods to enhance student engagement and optimize their learning experiences through curriculum and course design. Her primary teaching objective is to foster a lifelong learning mindset in her students by promoting critical thinking and problem-based learning. Dr. AbdelGawad’s teaching philosophy integrates real-life ethical dilemmas to encourage students to think deeply, challenge their opinions, and integrate ethics into their coursework to help shape them into successful, professional and socially responsible engineers. ©American Society for

Conference Session

Construction Engineering Division (CONST) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sanjeev Adhikari, Kennesaw State University; Arbaaz Hussain Syed; Sandeep Langar, The University of Texas at San Antonio; Rachel Mosier P.E., Oklahoma State University

Tagged Divisions

Construction Engineering Division (CONST)

perspective.Furthermore, specific recommendations for industry adoption of AI should include best practicesfor integration, guidelines for selecting AI tools, and strategies for measuring AI's impact onproject outcomes. Addressing ethical and security considerations is also essential, withrecommendations for safeguarding sensitive data and ensuring ethical AI use. By incorporatingthese recommendations, this research can enhance the practical understanding of AI's role intransforming construction industry practices, building trust and confidence among industrystakeholders.Summary and ConclusionThis research has explored the transformative impact of Artificial Intelligence (AI) on advancedconstruction technologies, focusing on its integration within the

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Chelsea Joy Andrews, Tufts University; Kristen B Wendell, Tufts University; Greses Perez P.E., Tufts University; Fatima Rahman, Tufts Center for Engineering Education and Outreach; L. Clara Mabour, Tufts Center for Engineering Education and Outreach

Tagged Topics

Diversity, NSF Grantees Poster Session

most technologies, are oftennot chosen and implemented with all community members in mind [7]. The communities thathave been historically marginalized in STEM are often the same communities disproportionatelyharmed by climate change. Without explicit attention to sociotechnical concerns, climate tech islikely to further amplify these injustices. A central goal in this project is to help youth develop aninformed, analytical, critical stance toward technology. To do this, we draw on emerging work oncritical sociotechnical literacy [1], which is related to other recent calls for attention to ethic ofcare [8], compassionate design [9], and macroethics and ideology [10]. Recognizing that theeffects of technology are typically unevenly felt, and

Conference Session

First-Year Programs Division (FPD) GIFTS Session 2: Foundational Skills in the First-Year Engineering Classroom

Collection

2025 ASEE Annual Conference & Exposition

Authors

Matthew Thomas Garnett, Auburn University; Lucila Marcela Carias Duron, Auburn University; Maria Lujan Auad, Auburn University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

incoming first-year engineeringand computer science students. Two sections of the course are offered each semester, and there isa maximum enrollment of 410 students per section. Traditionally, this 0-credit hour course servedas an introduction to college life, campus resources, facilities, academic advising, and engineeringdepartments/programs offered on campus. Often, students found this course boring, not engaging,and a waste of 50 minutes every week. Therefore, to help build first-year students' engineeringtoolbox and make the course more engaging, topics were added to the course outcomes to addressengineering design, problem-solving, engineering ethics, safety, teamwork, sociotechnicalengineering problems, and innovation. Before restructuring

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 1: Critical Reflections on Teaching and Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kent A. Wayland, University of Virginia; Caitlin Donahue Wylie, University of Virginia

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

routineactions[10]. More specifically, professionals should conduct “reflection in action”, i.e., an ongoingprocess of questioning decisions during their work, as well as “reflection on action”, i.e., assessing theresults of the action after it’s completed and thinking about how to act differently next time[11]. Ourpost-program evaluation methods invite students to reflect on action by thinking back across theirexperiences in the REU program. Similarly, scholars in science and technology studies have developedmethodologies for encouraging scientists and engineers to reflect on their ongoing research and designpractices to better achieve ethical and socially beneficial outcomes [e.g.,[12], [13], [14]]. Thosemethodologies may be useful for designing

Conference Session

Evaluation and Assessment for Engineering Leadership Programs

Collection

2025 ASEE Annual Conference & Exposition

Authors

Pamela Edith Campos Valles, University of Texas at El Paso; Stephanie Jimenez, University of Texas at El Paso; Lori Houghtalen, University of Texas at El Paso; Meagan R. Kendall, University of Texas at El Paso

Tagged Divisions

Engineering Leadership Development Division (LEAD)

19. Self-critical sustainability 20. Draw insights from reflection 50. Understand economic impact 21. Give and receive feedback 51. Recognize impact of work on 22. Self-directed learning various stakeholders 23. Reliable 52. Recognize ethical responsibilities 24. Relational skills 53. Frame and solve problems 25. Mutual performance monitoring 54. Design to address specified needs 26. Backup behavior 55. Analysis 27. Team orientation 56. Tinkering 28. Promote shared mental model 57. Recognize professional 29. Create supportive climate

Conference Session

ME Division 8: Measuring What Matters: Concept Inventories, FE Exam, and Learning Skills

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jessica Lofton, University of Evansville; Jared Fulcher, University of Evansville

Tagged Divisions

Mechanical Engineering Division (MECH)

some freshmen attended each event NSPE Guest Speakers for E-Week School-level event (lunch included) • Goal: at least one guest speaker event per semester that promotes ASHRAE Guest Speaker on Ethics & Statutes, Local professional organization event licensure PDH earned for PE’s hosted on campus by ME Program Welcome/Orientation meeting for new ME ME Program • Continuous offering students – discussion of FE graduation requirement and professional licensure

Conference Session

Faculty Development Works in Progress Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

David Lopez, Universitat Politecnica de Catalunya; Raúl López Sánchez, Universitat Politècnica de Catalunya; Josep Fernandez, Barcelona School of Informatics - Universitat Politecnica de Catalunya-BarcelonaTech

Tagged Divisions

Faculty Development Division (FDD)

Centres. His other specialties are engineering education and the relationship of technology with sustainability, ethics and human rights. Since 1991 he has been working as a lecturer in the Department of Computer Architecture at the UPC (Barcelona, Spain), where he has been a associate professor since 2001. He has been a consultant for the Universitat Oberta de Catalunya. His thesis dissertation was about architecture design, optimization and numerical code compilation. Since 2004 he has made engineering education and its relationship with ethics and sustainability his main research topic, with more than one hundred and fifty scientific and press papers published in these years. He has participated in a dozen research

Conference Session

Lightning Talk - "Innovating for Impact: Community-Engaged Education, Technology, and Infrastructure for a Sustainable Future

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tammy Mackenzie, The Aula Fellowship; Laxmaan Balaji; Kayli Heather Battel; Rosa Y. G. Paccotacya-Yanque; Animesh Paul, University of Georgia; Lilianny Virguez, University of Florida; Leslie Salgado, University of Calgary; Beyza Nur Guler, Virginia Tech Department of Engineering Education; Rubaina R Khan, University of Toronto; Natalie Perez; Sreyoshi Bhaduri, Private Corporation; Debarati Basu, Embry-Riddle Aeronautical University - Daytona Beach; Peer Herholz, Northwestern University

Tagged Divisions

Community Engagement Division (COMMENG)

conferences. Figures 3, 4 themselves have minor differences. The topicsextracted just from the mission statements include phrases such as ’machine learning’, ’datascience’, ’large language models’ and ’natural language processing’, representing topics ordomains in AI and Machine Learning that conferences tend to focus on. Although a lot ofthose topics are predicted just once for the entire corpus. The large language model (LLM)-based topic extraction (Figures 3 and 4) reveals slightlymore nuanced topics. Instead of isolated keywords, the LLM identifies meaningful topicalclusters such as "generative AI," "enterprise AI and industry applications," "interdisciplinaryand collaborative research," and "responsible, ethical, and trustworthy AI

Conference Session

WiP: Student Identity, Support, and Success

Collection

2025 ASEE Annual Conference & Exposition

Authors

May Lim, The University of New South Wales; Sumiko Iida, UNSW Sydney; Ghislain Bournival

Tagged Divisions

Chemical Engineering Division (ChED)

facilities, online resources, and services through the institution's library, makerspace,and laboratory. Ethical approval for the study was obtained from University of New South WalesHuman Research Ethics Committee prior to data collection (Project Reference Number:HC200047). Student participants were informed of the study’s purpose and their rights, andwritten informed consent was obtained from 69 students.AI Analysis of Student Teams Meeting TranscriptsDESN2000 was delivered in person but students are required to meet outside of class to plan andcomplete their project tasks throughout the term. Geographic and scheduling constraints meantin-person meetings can be challenging for some students as UNSW Sydney is a commutercampus. Most student teams

Conference Session

Manufacturing Division (MFG) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Arif Sirinterlikci Ph.D., CMfgE, CPEM, Robert Morris University; Kristopher Connelly, Robert Morris University; Ryan Szekely, Robert Morris University

Tagged Topics

Diversity

Tagged Divisions

Manufacturing Division (MFG)

projects. • SO4: 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. Students were exposed to use of 3D scanning in an ethical way and its impact on the society in terms of culture preservation. They were also exposed to Intellectual Property laws within their ENGR 4801 Rapid Prototyping and Reverse Engineering course they took earlier. • SO6: an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions. To be able to solve their problems

Conference Session

Minorities in Engineering Division(MIND) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Simonne Renee Whitmore, Southern University and A&M College

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

diverse student populations, whileindustry professionals will shed light on workplace barriers and initiatives designed to promoteinclusion. Ethical integrity is a cornerstone of this study, ensuring that all research activities areconducted responsibly and with respect for participants. Prior to data collection, approval will beobtained from the Institutional Review Board (IRB) to guarantee compliance with ethical researchstandards. Participants were fully informed about the study's purpose, procedures, and their rights,including the voluntary nature of their involvement and the ability to withdraw at any time withoutrepercussions. Informed consent forms were provided and signed, emphasizing confidentiality andthe measures taken to protect

Conference Session

Enhancing Student Engagement and Support in ECE Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Samuel Oluwagbenga Inuyomi, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

of 25 second-year engineering students were selected using stratified random sampling toensure demographic and academic diversity.4.1.3 Data Analysis:Surveys were administered online and in-person.Statistical Techniques: • Descriptive statistics (mean, standard deviation) to summarize survey responses. • Correlation analysis to assess relationships between hands-on preparation and academic outcomes. • Regression analysis to identify predictors of success in engineering coursework.4.2 Qualitative Methods4.2.1 Interviews and Focus Groups: Semi-structured interviews were conducted with 25 students, lasting 30–45 minutes each.4.3 Ethical ConsiderationsThis study adhered to ethical research

Conference Session

Tech Session 5: Toward a New Paradigm in Environmental Engineering: From Knowledge Frameworks to Learning Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Daniel B Oerther P.E., Missouri University of Science and Technology

Tagged Divisions

Environmental Engineering & Sustainability Division (ENVIRON)

the profession of environmental engineering, six specific items were highlighted. First, in2010, the AAEES added an eighth subspeciality for the in the area of environmentalsustainability [7]. Second, in 2015, the AAEES launched the, “Patrons Program,” as a way toformally increase engagement with and financial support from organizations such as consultingfirms and utilities. Third, in 2019 the NASEM published, “Environmental engineering for the21st century: Addressing grand challenges,” which outlined five areas where the profession ofenvironmental engineering is uniquely poised to help to solve [8]. Fourth, in 2021, the AAEESBoard of Trustees adopted the, “AAEES Ethics Statement,” which identifies four canons. Thefour canons include: 1

Conference Session

Computers in Education Division (COED) Track 6.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sujan Poudyal, Cleveland State University

Tagged Divisions

Computers in Education Division (COED)

1, highlight that the bestperformance was achieved with Adam optimizers for 100 epochs. The comparison in Figure 2further confirms that our hybrid model significantly outperformed standalone traditional modelsin terms of classification accuracy.Even though results show how effective our approach is, there are significant ethical concernsraised by using AI to predict students' academic performance, especially with regard to bias andfairness. The OULAD dataset might have inherent biases related to demographics,socioeconomic status, or institutional regulations because it is based on real student records.Machine learning models run the risk of sustaining current educational disparities if these biasesare not addressed properly. A major concern

Conference Session

WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Erik Schettig, North Carolina State University at Raleigh; Marissa Franzen, North Carolina State University at Raleigh

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

designs. The deductive coded themes for this qualitative analysis were established before dataanalysis based on the seven ITEEA Standards for Technological and Engineering LiteracyPractices: Communication, Optimism, Critical Thinking, Making and Doing, Creativity, SystemsThinking, Attention to Ethics, and Collaboration as defined in Table 2 as these are elements ofwhat engineering education encourages to possess and demonstrate[6]. In addition to theresearcher's analysis of qualitative data, an AI-assisted qualitative analysis was conducted toassist in filling any potential gaps. Table 2: Definition of Standard for Technological and Engineering Literacy Practices Practice: Definition: Evidence in Responses

Conference Session

Bridging Education and Real-World Impact: Training, Career Development, and Urban Systems

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hayley N. Nielsen, University of Michigan; Vibhavari Vempala, University of Michigan; Berenice Alejandra Cabrera, University of Michigan; Lisa R. Lattuca, University of Michigan; Erika A Mosyjowski, University of Michigan; Joi-Lynn Mondisa, University of Michigan; Shanna R. Daly, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IED)

students viewsocial and contextual skills and knowledge as central to careers in IE and their reflections on howtheir required coursework has prepared them for their future careers. Implications for futureresearch and practice are discussed.IntroductionEngineering is increasingly recognized as a discipline that requires attention not only to thetechnical work aspects but also to the social contexts in which the work occurs and the broaderimpacts of engineering on communities and society [1] - [4]. The social and contextual nature ofengineering work has been recognized by the Accreditation Board for Engineering andTechnology (ABET), which outlines student outcomes that recognize the importance ofconsidering the social, cultural, ethical, and

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 2: Identity, Professionalization, and Belonging I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jessica Mary Smith, Colorado School of Mines; Juan C. Lucena, Colorado School of Mines; Junko Munakata Marr, Colorado School of Mines; Jeffrey C Shragge, Colorado School of Mines; Jonah Klemm-Toole, Colorado School of Mines

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

students’ professional identities.Almost every single one of our students shared feeling ambivalence about pursuing engineeringas an undergrad and then an “ah-ha” moment when they found a graduate program thatemphasized the inherent social dimensions of engineering. One student said that he never reallyhad a strong engineering identity because of “engineering education, culture, and what isemphasized and what’s not emphasized.” He described a chemical engineering unit on processsafety, which was used to think about ethics. He recalled, “The opening line is, if you blow upyour plant, you’re not gonna make any more money… that’s always been such a turnoff for me. Iwas not motivated by, I would say, those traditional engineering ideals of efficiency