learning, critical reflection in ethics, and high-impact practices.Dr. Steven Higbee, Purdue University at West Lafayette (COE) Steve is an Associate Professor of Engineering Practice in the Weldon School of Biomedical Engineering at Purdue University in Indianapolis. He received his PhD in Bioengineering from Rice University (Houston, TX) in 2013, after earning his BS and MS degrees from Purdue University (West Lafayette, IN).Jennifer M Hatch, Purdue University at West Lafayette (COE) Jennifer Hatch is a Continuing Lecturer of Biomedical Engineering in the Weldon School of Biomedical Engineering at Purdue University. She earned her BS and MS in Biomedical Engineering from Indiana University - Purdue University
solve, Negotiation, Driving change) ● Business / Financial Acumen ● Societal impact (Environmental impact, Equity, Ethics) ● Lifelong learning ● Innovation (agility, creativity) ● Self-Confidence (Self-Esteem, Sense of Belonging) ● Independence (Self-autonomy, Self-sufficiency)Table 1 below shows the options for undergraduate student activities.Table 1: Options for Undergraduate Activities and Corresponding Short-form for Analysis Response Short-form Conduct research with a faculty member Research Work in an engineering environment as an Co-op Intern intern/co-op Participate in a work-study program Work-Study (non-engineering role or non-research) Work
additional goal of this program. Students couldpursue minors of interest as well as certificates tied to their major or other personal interests.Recommended minors or certificates for MAP2E students include, but are not limited to,business, psychology, energy engineering, engineering management, financial management,history, the impact of technology, applied ethics, communication, cybersecurity, environment andresources, and public law.Fall 2024 ResultsThe MAP2E program had sixteen students participate in the STP. Four students were in collegealgebra, and twelve participants were placed into precalculus one. Due to the small class sizes,we opened the ILCs to other students. Eight participants were added to the college algebracohort, and three were
tools and conducting literature reviews were rated comparatively lower,suggesting less immediate relevance in the manufacturing industry.In the Transportation sector, oral communication and teamwork were identified as essentialskills, highlighting the industry's reliance on clear communication and coordinated efforts. Timemanagement and ethical decision-making were also prioritized. However, conducting literaturereviews and career planning tools received lower ratings.Employers in the Services sector prioritize teamwork and oral communication, with writtencommunication and time management also valued. Career planning tools and literature reviewsreceived less emphasis.Teamwork and oral communication received the highest ratings in the “Other
engineering students in the sample could alsobias results. Future studies should broaden the sample across various engineering disciplines toimprove findings' applicability.Future Work: Future research should broaden the participant pool to include diverse institutionsand fields of engineering. Longitudinal studies are recommended to track changes in LLMperceptions over time. Combining quantitative data with qualitative methods like interviewscould offer deeper insights into student attitudes. Research should also evaluate educationalinterventions that promote AI literacy and ethical LLM use, alongside developing reliable toolsfor measuring utility value and self-efficacy. Examining LLM's long-term impact on academicand career outcomes could inform
team design projects with team sizes between 3 and 5 students. Bothcourses included individual and group assignments, which were scored as “Pass” or “No Pass”,based on whether all the specified requirements were met. The instructor provided feedback formost assignments. Students were able to revise and resubmit most types of assignments if a “NoPass” score was earned.In the second-year course, the major assignments in the course were project deliverables and anengineering ethics case study assignment. There were two types of smaller assignments that weregraded on completion: guided practice assignments, meant to prepare students in a flippedclassroom for the group activities [17], [18], and individual homework assignments. The coursesyllabus
purpose of the survey both in class and through course announcementson the learning management system. No incentive was provided to students filling in the survey.The survey was anonymous, with no way of tracking respondents. The study was reviewed andapproved by the institutional research ethics board, ID # H24-03237. The list of questionsprovided in the survey as well as closed-ended question answer choices are provided in anappendix at the end of this publication. The survey was adapted from a previous study focusingon Gen. AI usage in capstone design courses [8].36 responses were received of which 32 appeared to be fully completed. The 4 incompleteresponses were removed from the analysis as they did not provide sufficient data for
promoting the philosophy of engineering education andgiven the success of two meetings on the topic at FIE (Frontiers in Education) conferenceshad obtained support from the ERM (Educational Research and Methods) division and theIEEE Education Society for a one-day workshop on ‘Exploring the Philosophies ofEngineering and Engineering Education”. The first attempt failed but the National ScienceFoundation (NSF) intervened and enabled a one-day meeting prior to FIE 2011 [42]. It wasalso successful, and NSF’s Ms Kemnitzer considered that all engineers should develop orhave a developed philosophy of engineering. Since ASEE did not cater for philosophy per se(it had an Ethics Division) it was thought that the Technological Literacy Division would be
than at the beginning of the semester.” - AnonProfessional skills were honed. Most commonly cited skills by students in Service Learning inSTEM were the soft, or essential skills: communication, interpersonal skills, problem solving,teamwork, and leadership. They also reported a deeper understanding of community issues andthe tangible impact their contributions had on those communities. These outcomes are consistentwith previous research as to the benefits of service learning for STEM students [11]. Moreover,this project experience may prompt students to keep humanity and ethics in mind while theypursue more technical courses and job roles [12]. “In addition to the STEM related skills I improved throughout this project, I also became
theclass in the Spring of 2024 and forty (40) in the Fall of 2024. The Engineering Economy coursehas four learning outcomes, where the following is expected from the students upon successfulcompletion of the course. 1) Be able to identify, formulate, and solve time value of money problems using mathematical equations, computer software, and tables. 2) Be able to influence engineering design decisions based on cost estimation and market pricing. 3) Be able to communicate economic decisions effectively using profit margin calculations, breakeven analyses, payback period analyses, and risk assessments. 4) Be able to explain the ethical responsibility of managing money in engineering
1During the summer of 2024, an undergraduate student researcher completed a 10-weekresearch experience for undergraduates (REU) to address the research question, what factorspromote non-medical mask usage amongst first responders and emergency managers during apandemic? The REU student, termed lead researcher herein, completed a hands-on socialsciences research program. This included training in qualitative research design, search engineand database usage, online survey methodology, analysis and referencing software usage,ethics and Institutional Review Board (IRB) familiarization, and soft skills development.Methods for CollectionThis study utilized interpretivism, an inductive system of logic, online survey methodology,and computer-assisted
. We acknowledge the contributions of Erin Cech, Lea Marlor, Karen Nortz, andGracie Judge.References[1] ABET Accreditation Criteria https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2025-2026/ Accessed January 10, 2025[2] National Society of Professional Engineers (NSPE) https://www.nspe.org/ Accessed January 10, 2025[3] IEEE Code of Ethics, https://www.ieee.org/about/corporate/governance/p7-8.html Accessed January 10, 2025[4] S. M. Lord, B. Przestrzelski, and E. Reddy, “Teaching social responsibility in a Circuits course,” 2019 American Society for Engineering Education Annual Conference Proceedings, Tampa, FL, June 2019. https://peer.asee.org/33354[5] M. G
indicates that students perceive significant value in these technologies, underscoring theimportance of ongoing refinement and thoughtful integration of AI into educational contexts.It is also important to recognize potential ethical considerations regarding the use of ChatGPT inan engineering education context, such as how its integration might influence students'independent problem-solving and debugging skills, with respect to MATLAB. To betterunderstand these implications, future surveys could include questions designed to explore students'perspectives on ethical aspects of using AI tools. This approach would support a balanced andthoughtful discussion about the effective and responsible integration of AI in education.There are several possible
English), Can. J. High. Educ., vol. 54, no. 1, pp. 71-88, 2024. [Online]. Available: ://WOS:001267821600006.[11] W. B. Johnson and N. Nelson, "Mentor-protege relationships in graduate training: Some ethical concerns," (in English), Ethics Behav., vol. 9, no. 3, pp. 189-210, 1999, doi: 10.1207/s15327019eb0903_1.[12] A. M. Snyder and J. R. Hartwell, "Development and Evaluation of an Experiential Career Planning Assignment to Train Students to Assess Organizational Fit," (in English), J. Vet. Med. Educ., ; Early Access p. 11, 2023 Jan 2023, doi: 10.3138/jvme-2022-0095.[13] J. H. L. Koh, "Designing and integrating reusable learning objects for meaningful learning: Cases from a graduate programme," (in English
-efficacy.The study follows a quasi-experimental design with a single-group pretest-posttest structure.This design was selected due to the practical constraints of working in an educational settingwhere random assignment to control and treatment groups is not feasible. All students wereenrolled in the same course and participated in the same educational intervention, making asingle-group pretest-posttest design the most appropriate and ethical choice.The independent variable is the implementation of a capstone portfolio, which includes theanalysis of real-world construction cases and workshops aimed at fostering collaborativedynamics. The dependent variables are students' perceptions of collaborative work, sense ofbelonging, and self-efficacy. Data is
educational systemscan be optimized. Researchers, including Freeman and Aoki [6], stress the importance ofdesigning conversational agents that are pedagogically effective and that ethical frameworksshould guide their implementation. In their literature review, Freeman and Aoki [6] build on theunderstanding of how to optimize these systems, explores theories that provide a framework forthe use of pedagogical strategies and ethical considerations in deploying these agents.With this context in mind, this study conducts a systematized literature review, focusing on threeresearch questions to address the effective implementation and integration of conversationalagents in current educational hubs (LMS or VLEs) education and current contributions
experiences, their relationships with their advisors, howmismatched advisor-student relationships affected their mental health, and what strategies theyused to deal with stress and adversity. The flexibility of the format allowed participants toelaborate on issues they felt were most important, yielding much valuable, unexpected insight.Each interview took approximately 60 to 90 minutes and was audio-recorded with participants'consent. The audio recordings were later transcribed verbatim to ensure accuracy during dataanalysis.Ethical Considerations The research was conducted with strict adherence to the observance of ethical guidelinesthat ensure the safety and dignity of all participants. At the start of data collection, eachparticipant was
tendencies and variability, offering a clearerunderstanding of the patterns influencing participants' educational and professional experiences[20].Integration of Qualitative and Quantitative DataThe findings from both qualitative and quantitative analyses were integrated during theinterpretation phase to provide a more comprehensive understanding of the research questions.The qualitative insights from the thematic analysis were used to explain patterns observed in thequantitative trends, ensuring a richer contextual understanding of the participants' experiences[24].Ethical ConsiderationsParticipant consent and anonymityBefore data collection, all participants were provided with a detailed informed consent formexplaining the study's purpose
causationfactors for the correlations noted in this study.AcknowledgementsThis research was supported by the Indigenous and Black in Engineering & Technology (IBET)PhD Project. Dissemination of the survey was supported by the UToronto Engineering Alumnioffice, Black Engineers Canada (BEC) and the Canadian Engineering Education Association(CEEA). All procedures performed in studies involving human participants were in accordancewith the ethical standards of the University of Toronto’s Research Ethics Board, per approvedprotocol #43856.References[1] G. Hanson and M. Slaughter, “High-Skilled Immigration and the Rise of STEM Occupations in U.S. Employment,” National Bureau of Economic Research, Cambridge, MA, w22623, Sep. 2016. doi: 10.3386
“general” engineering) provides opportunities and risks. Forexample, program graduates may be—or may be perceived to be—better able to fulfill the ABETstudent outcome B5, “…understand ethical and professional responsibilities and the impact oftechnical and/or scientific solutions in global, economic, environmental, and societal contexts”yet less able to fulfill outcome B1, “…applying knowledge of mathematics and science and/ortechnical topics to areas relevant to the discipline”. The first cohort of students in the programare currently in their fourth year of study. In this paper, the author (who is external to the institution being studied) will firstoverview the department’s curriculum and compare it to the most relevant peer programs
readings throughdifferent analytical lenses (such as epistemology, findings, consequences, citations, andparticipants). The course and its approach have been the subject of previous scholarship (see [18]and [19]).During the Autumn 2024 iteration of the course, which is the focus of this autoethnography, Iintroduced significant experimental elements that expanded student agency. Students not onlychose their own readings but also participated in selecting the analytical lenses through whichthey would examine the literature. To complement this enhanced student agency, I changed thecourse's reflection component to focus on broader cross-cutting "big ideas:" argument, genre,trustworthiness, significance, and ethics. This teaching context provides a
the responses to the 3 open-ended questions (we used an iterativeprocess to code the themes). We also analyzed the 34 applications in terms of the nature of theproject and how the budget was used.This study was conducted as part of a quality assurance and improvement evaluation of theELATE initiative and TLIF program and as per Article 2.5 of the Tri-Council Policy Statement :Ethical Conduct for Research Involving Humans [21], Research Ethics Board review was notrequired.Findings and discussionDetails on the TLIF projectsSince the inception of the TLIF program, 34 projects, including those in progress at the time ofwriting, have been funded. These 34 projects involved 32 different faculty members(approximately 20% of the Faculty’s academic
course curriculum, thus we aim to learn about this particular single-case and aimto “capture the complexity of the object of study” [31] as cited in [32]. This research is stillpreliminary research and a work-in-progress, so we present only high-level context andreflections of the case. Ethics approval is underway, but as it is not yet approved, at this time weare unable to provide student feedback. 4. Our Case Study and the Approach in Integrating EOP4.1 The Case Study: SUSE 300 Introduction to Sustainable SystemsIn this section, we present our case study (SUSE300) reflecting on our experience from its firstiteration in Winter 2024. As we implement the second iteration in Winter 2025, we aim toleverage this learning experience to improve the
, detailed inAppendix A, considered qualitative research design, including previous work on student sense ofbelonging [18], [19]. In this study, the qualitative questions complement the aforementionedquantitative questions, providing necessary context. All responses were analyzed for commonthemes to provide a deeper understanding of students’ perspectives.Survey AdministrationThe survey was created using Google Forms and was distributed to all EMPOWER programstudents through email. Participation in the survey was voluntary, and informed consent wasobtained at the beginning of the survey. The study was reviewed and approved by UC SanDiego’s Institutional Review Board (IRB), ensuring compliance with ethical guidelines forresearch involving human
. Instructors must balance the educational objectives of their programs withthe needs of the communities they serve while also considering equity issues when distributingresponsibilities among diverse student design teams. Interestingly, the instructors involved in thisresearch project have long been concerned about the ethical considerations surrounding thesustainability of course projects.In the early 2000s, instructors received external funding to establish a joint course collaborationwith a local university in Kenya. However, once the funding ended, it became impossible tosustain the partnership. In 2020, just before the pandemic began, a new partnership was formedwithout funding in order to explore ways to integrate students from a Kenyan
ASEE North Central Section Conference Copyright © 2025, American Society forEngineering EducationIn general, the web provides democratized access to information. Printed materials are onlyavailable to those who have them. AI uses information from the web. AI helps overcomebarriers because it makes the web easier to use, so information is even more democratized.Q9: What challenges or limitations do you foresee in integrating AI into engineeringeducation (e.g., cost, ethical concerns, technical barriers)?All learning should be from basic theory up to application. AI adds one more level of learningthat is required. It is one more thing that must be taught. This adds to the burden of education.There are many ethical concerns. For example, AI will
drawbacks. Over-reliance on AI can lead to decreased criticalthinking skills and reduced problem-solving abilities in students and generate results that align closely with the user's needs.who use it as a shortcut rather than a learning tool. There are also Ultimately, the responsibility lies with the user to provideconcerns about misinformation, as LLMs can sometimes structured input that guides the AI toward producing accurateproduce inaccurate or biased responses [6]. Furthermore, ethical and valuable outputs, making the interaction both efficient andconsiderations arise regarding data privacy and the potential for trustworthy.AI-generated content to be misused for plagiarism. While LLMs Fig. 8
) identified a significant lack of JEDI-relatedcontent in professional engineering societies, underscoring the urgent need to strengtheneducation in these areas to prepare inclusive and socially committed engineers. Armanios et al.(2021) highlighted how a curricular restructuring led to an increase from 17% to 69% in theincorporation of social justice concepts in students' final reflections, demonstrating the ability toinclude the social impact of engineering decisions. Similarly, Hess et al. (2024) emphasized theconnections between ethics and DEI, identifying the need to integrate and unify strategies thatenable engineering students to address both the social and technical aspects of their profession.Finally, Gupta, Talluri and Ghosh (2024
challenges withvideos use and show they don’t necessarily work in any environment. For example, [5] provideda set of short videos to a marketing class to allow class time to be spent on other items. Theauthors reported that students did not appear to watch the videos unless assigned to do so. Acomputer science course documented by Hsin and Cigas [6] used short videos and reported apositive impact in that students were more satisfied with the course, were less likely to withdraw,and were more likely to pass the course. Itani [3] examined survey results for 92 students andconcluded that videos were a beneficial tool for learning engineering ethics. In some senses,student-focused videos are a version of peer-led learning, which has also been spoken
useof “everyday morality” is an extension of the “ethics” Lambek speaks to above, but it drawsattention to a specific set of “moral questioning and actions” that ethnographers can contributeinsights on through their ethnographic products, but not solve. The artifact-focused curriculumdesign presented here represents this line of thinking and anthropological engagement withengineering and related building processes. The AlaskaCraft game situates its creators andplayers in a design setting that requires seeking information from many sources to design homesappropriate to geographical and sociocultural contexts in remote Alaskan communities, whichvary widely across the region. The students who designed the game collaboratively researchedreal-world