, their major,figuring out their path to graduation, and emphasizing the importance of ethics and justice,diversity, equity, and inclusion in engineering.Academic Advising General academic advising on courses with a primary focus on the importance of each student planning out their flowcharts for their individual path to graduation given the uniqueness of incoming transfer credit for each student; a discussion on concentrations in the major; senior projects; and how to get involved in researchPeer Review Flowcharts and Career Panel After students completed their flowcharts, they were prepared for more in depth discussion on flowcharts that FTFY students typically learn via word of mouth, including: which classes to avoid
formed with the most common responses being early 62-64, middle 65-67, or late 68-70). They were then asked to refine their arguments, and the projectculminated with an in-class debate.The authors found that this problem-based learning exercise was very beneficial in motivatingthe students to better learn and apply the course material. And, as a bonus, the instructors had amuch better idea as to when to start their social security benefits!IntroductionMost engineering programs require that students take a course in engineering economics as wellas ethics. Previous authors [1-3] have introduced the idea of using Social Security as a case studyto teach economics in graduate programs. Their work, as they hoped, has sparked us to alsopursue a Social
interactions and fostering a supportive learning community.Combining AI tools with well-designed asynchronous curricula offers a pathway to create moreengaging, personalized, and equitable online learning experiences. Further research is needed toevaluate the effectiveness of specific AI tools, develop the best practices for their ethical use, andexplore how AI can support both learner autonomy and instructor facilitation in asynchronoussettings. 5. ConclusionThis paper has examined the opportunities and challenges inherent in delivering fullyasynchronous online courses and degree programs in engineering and science fields. Drawing oncase studies from core undergraduate courses and graduate programs at the University of ColoradoBoulder, we
in studentengagement and learning outcomes. This paper outlines these findings, discusses implications forfuture practice, and highlights strategies for scaling AI integration across institutions to promoteequitable learning environments.This transformation not only benefits students by providing tailored educational experiences butalso empowers educators to focus on fostering critical thinking and creativity. As AI continues toevolve, its role as a catalyst in higher education will undoubtedly grow, offering unprecedentedopportunities for the advancement of teaching strategies and academic achievement. Despite thenumerous benefits, challenges such as data privacy, ethical considerations, and the digital dividemust be addressed to ensure
projects from companies, public institutions,and non-profit organizations. The course is designed to leverage all available information toapply financial methodologies and assess a project under strategic considerations, includingthe Net Present Value technique. Additionally, it seeks to strengthen professional skills, suchas effective communication, teamwork, and ethical commitment in professional practice.The course’s methodological framework is primarily team-based. Students are organized intogroups of approximately six members to carry out the project evaluation. The teaching staffcomprises three types of instructors: the Guiding Professor, the Supervising Professor, and theSection Professor. Each team is assigned a Guiding Professor
curriculum at Nazarbayev University, Kazakhstan, through thelens of the Sheffield Graduate Attributes framework—a global model assessing innovationcompetencies across technical, social, and cultural dimensions. Technical attributes focus onapplying theoretical knowledge, social attributes on teamwork and communication, and culturalattributes on ethical responsibility and global problem-solving.Analysis of nine core courses reveals a pronounced emphasis on technical skills, with 78% oflearning outcomes tied to computational tools and structured problem-solving. Courses like“Mechanical Design with CAD” and “Multiphase Systems” exemplify this trend, equippingstudents to execute predefined solutions but offering few opportunities for open-ended, real
Capstone CourseKeywords: Capstone Projects, Electrical Engineering Education, Generative AI in Education,ChatGPT, Entrepreneurship in Engineering, Marketing and Design Requirements, ABET.1. IntroductionIn recent years, many engineering programs have integrated entrepreneurship education into thecapstone experience, blending technical engineering skills with entrepreneurial processes,namely ideation, customer discovery, client validation, and commercial viability [3] Theseprocesses enable students to translate their technical knowledge into economically relevantengineering practice. The objective is to produce graduates who are not only technicallyproficient but also capable of navigating the business landscape, ethically aware, and responsiveto
characters long, as well as names thatcould not be used in advertising because of alternate meanings in other languages.5. Ethics. Most people trust their fellow business founders to be acting as responsible professionals andnever contemplate one of them hacking the company employee’s emails, stealing intellectual property,or suffering from a disease that can compromise their ability to act rationally and ethically. Whenrequesting to have your operating agreement created by your attorney think about having them add asection where you adopt a simple ethical code. The National Society of Professional Engineer’sFundamental Canons [18] only requires a few adjustments to fit a corporate setting and is familiar tomost engineers. It is also recommended to
interest topics (e.g., grand challenges), professional skills (e.g., teamwork, leadership),academic advising, mathematics skills, introduction to the engineering profession (e.g.,professional societies, types of engineering, ethics), and engineering specific technology/tools(e.g., MATLAB, CAD) [2]. Additionally, interactions between first-year students and bothfaculty and upper division peers have been found to positively impact retention of students inengineering programs. The goals of a typical FYE 1.0 program are to [2]: • Provide students the opportunity to interact with engineering faculty and upper-division engineering students to improve their sense of belonging in the engineering discipline. • Help students develop the skills
, too. They ask for more flexibility. They struggle topay attention in class. And they display reduced professional behaviors. For instance, they wearearbuds during class, they show up late to class, they are on their devices more during class, theydo not work to establish meaningful relationships with the instructional team, or they miss classor assignments without communicating with the instructor. Problem-solving these commonchallenges is pertinent to all disciplines. We present an engineering education pedagogicalstrategy and assessment.While the specifics of professionalism is debated [4], [5], [6], there is some consensus around“professional skills”: communication, teamwork, and ethics [7]. Interpersonal skills have beenhighlighted as
several premier journals, including the Journal of Educational Psychology, Journal of Higher Education, and Science and Engineering and Ethics. She is a contributing author to several books published by Oxford University Press, Teachers College Press, and University of California Press. She served as President for the Korean American Educational Researchers Association, including President in 2013-2014, and Chair of the KAERA Board of Directors in 2019-2020.Dr. Jerry Lynn Dahlberg Jr, University of Tennessee Space Institute Jerry Dahlberg is the Senior Director of Research at the University of Tennessee Space Institute. Prior to joining UTSI, he was an Assistant Teaching Professor and Senior Design Committee Chair at the
, nanoparticle diffusion, and engineering and physics education.Lily Skau, Austin Peay State University Lily Skau is an undergraduate student at Austin Peay State University pursuing a bachelor’s degree in Engineering Physics and a minor in Mathematics and Sociology. She plans to graduate with her degree and minors in May of 2026 and enter the industry as a Mechanical Engineer. ©American Society for Engineering Education, 2025 Where Empathy is Needed in Engineering Formation Abstract Engineers are called upon to solve the complex problems plaguing society. These problems are intellectually rigorous and steeped in societal, ethical, and geographic
-word challenges with equity and justice. In recent years, there has been considerableimprovement in providing students in higher education with professional skills needed to beemployable and successful in their respective profession. Such skills include communication,ethics, collaboration, leadership, and global awareness (including the social and environmentalimpacts of engineering). Yet, much of the engineering education employed in the K-12 settingfocuses on the technical outcomes and skills. This study explores the use of an environmentaljustice-focused curriculum, namely StoryMaps that facilitate a deeper exploration of the complexinterconnections of air quality, transportation, and engineering, as a part of a larger CreativeEngineering
social andhistorical context [8], and narratives can help learners form complex connections betweentechnical and non-technical content. For example: Halada and Khost [9] used narrative shortstories and case studies to encourage student reflection on the interactions between engineering,technology and society. Finally, narratives put humans at the center of the story, instead oftechnical content. Stolk and Martello [10] showed that integrating a human-centered approachinto their course project increased student motivation and encouraged higher use of criticalthinking. All of this supports ABET student outcome #4: “an ability to recognize ethical andprofessional responsibilities in engineering situations and make informed judgments, which
how particular humanities opportunities lead to particular outcomes isexactly what is needed to make evidence-based arguments about the importance of this teaching.The Engineering and Humanities Intersections study responds to this gap by observing studentexperiences as they learn across disciplines to better understand how these learning experienceswork to support the outcomes that are associated with a liberal arts education, namely enablingtransdisciplinary competencies—communication, teamwork, project management,professionalism—and broadening mindsets—an ability to understand alternate epistemologiesand others’ perspectives, an appreciation of the social and environmental context of engineeringwork, self-awareness and ethical reasoning
BME programs, recent work in BME education has highlighted examples of theintegration of ethics as a spine for BME curriculum [21]. Despite the progress for design andethics as curricular “spines” in BME, only a few works in progress exist (e.g., [22]) to considerhow to incorporate health equity across multiple levels of courses within BME curriculum.Combined, the lack of existing models for incorporating health equity into BME curriculumalongside the timely call to action for BME to advance health equity [6] presents an urgentopportunity to expand our understanding of effective practices for integrating health equity intoBME curriculum.We aim to contribute to this gap in literature through sharing insights from a collaborativeautoethnography
increasinglyinterested in addressing global challenges. In biomedical engineering particularly, students oftenenter the discipline because they are interested in problem-solving at the intersection ofengineering and public health. Global health problems present some of the most pressing andcomplex issues of our time, requiring innovative and sustainable solutions that account for diversecultural, social, and environmental contexts. Despite this enthusiasm, many engineering studentslack a structured introduction to the ethical and practical challenges inherent in global health designprojects. To create meaningful and sustainable change, engineers must approach these challengesusing frameworks that emphasize ethical responsibility, cultural humility, and long
Inclusive Course Titles Intro to Environmental Engineering Data Science for Env Engineers Prompt Engineering and Human-AI Collaboration AI Ethics & Environmental Policy Capstone Design Project Data Science for Env Engineers Data Literacy and Computational Thinking Intro to Programming
system?Within the healthcare sector, nursing is the single largest profession with nearly five million(5M) Registered Nurses (RNs) in the US. And yet, nursing is NOT recognized as a STEMprofession by many federal agencies. Why not [3] [4]? Nursing is clearly based in science (e.g.chemistry is necessary for understanding pharmacology). Nursing clearly uses math (e.g.appropriate dosage of medicines requires calculations). And like engineering, nursing is aprofession that cares for the public. In fact, the code of ethics of nursing specifically calls for thecare of every patient – whether an individual, family, group, population, or community [5].Nursing is unique among the healthcare professions in that its code of ethics explicitly mentionsBOTH
critical thinking and effort. Finally, some responses, about 10%, also reflectedcuriosity and apprehension about AI's future impact and while some saw it as a "fast-growingand multifaceted tool" with "limitless potential," others expressed concerns about its rapiddevelopment, potential misuse, and ethical implications. Notably, a few students mentioned fearsabout AI replacing human jobs or concentrating power and wealth.Question 2: Which AI tools or websites do you use most often?ChatGPT and Grammarly are the most commonly used AI tools among participants, with 75%and 65% of respondents, respectively, reporting regular usage. These tools were often mentionedtogether, with 57% of participants highlighting their combined use for academic and
robots and the future of work.The trainees can select from a menu of courses across a range of disciplines that broaden theirtechnical knowledge. The interdisciplinary coursework broadens the theoretical and 6methodological perspective of the trainees. Additionally, the program requires each trainee toinclude a chapter on the broader impacts of research into their dissertations and theses. Theprogram’s required applied ethics course offers a collective intellectual space in which thetrainees explore non-technical consequences of their technical research. This paper presents a discussion of convergence research through the lens of the
, such as information covered by the HealthInsurance Portability and Accountability Act (HIPAA) and the Family Educational Rights andPrivacy Act (FERPA), as well as facilitating the investment in innovation by protecting theconfidentiality of intellectual property under development. As such, they can be an importantpart of both engineering education and engineering practice. According to the National Societyof Professional Engineers (NSPE) code of ethics III.4 “Engineers shall not disclose, withoutconsent, confidential information concerning the business affairs or technical processes of anypresent or former client or employer, or public body on which they serve” [2]. Keeping tradesecrets confidential enables trust and facilitates communication
onlineeducation during the COVID-19 epidemic, emphasizing the difficulties in preserving the integrity ofassessments, the quick changes in educational methods, and the growing dependence on technology.Their results support the necessity of creative approaches to academic integrity in online settings.Online learning concerns: Toprak et al. [3] highlight that enforcing academic integrity in onlinelearning environments is more challenging due to ethical concerns investigate differences in howstudents and teachers view privacy and the application of rules. According to their research, 78% ofstudents prefer moderate punishments for misbehavior, but 52% of teachers support harsherpunishments. Despite these disagreements, both sides agreed that it is critical
(Ex. study 3.33 3.14 3.07 3.32 3.29 3.27 3.33 3.47 3.29 3.38 3.30 abroad or student organizations) Campus resource connections 3.32 3.24 3.20 3.41 3.09 3.42 3.31 3.69 3.24 3.59 3.19 Graduate school 3.27 3.13 3.27 3.43 2.85 3.34 3.25 3.26 3.27 3.28 3.24 Ethics and social responsibility 3.12 2.92 3.33 3.10 3.22 3.12 3.08 3.57 3.03 3.15 3.15 Personal wellness
. Overall, the students’ increasedidentification as scientists raised the stakes of instruction in experimental methods, laboratoryand publishing ethics, and technical writing. This increase in identification as a professionalscientist or engineer helps the students to gain authentic practice in these skills in a controlledenvironment and build their confidence for when these skills are needed in their future careers.The publicly available end product of the course, now published online as Physics in Progressissue 1, served as a motivating factor and now serves as a time capsule containing writingartifacts that students take pride in and can share in portfolios or as otherwise appropriate.IntroductionAt what point does one cease to be an
science, the production of scientific knowledge, and critical approaches to scientific inquiry. ©American Society for Engineering Education, 2025Paper ID: 48415Title: Toward a Critical Framework for AI Tool Selection and Adoption in AcademicResearch Contexts: Reflections from the Brown University Library’s Critical AILearning CommunityAbstract: Given the rapid proliferation of artificial intelligence (AI) tools in academicenvironments, critical questions about AI and its role in economizing the research processcontinue to emerge. While AI tools have the potential to enhance productivity and fostergreater collaborative inquiry dramatically, there remain overarching concerns about AI'simpact on information ethics
technical proficiency; the objective is the implementation of sustainabledesigned solutions [6], [7]. However, community participation is important. The success of theproject is determined by the community’s engagement with the project and availability. There isthe need for a deep understanding of the community, its social and cultural contexts to developtrust and proper communication to achieve the desired collaboration and partnership.Complementary to the community understanding, students and faculty advisors develop aframework with high ethical standards and professionalism, which may not be applied in everycommunity [6], [8], [9]. To provide context, and a sense of purpose and clarity, students andfaculty advisors have to understand economic
Paper ID #47277Harnessing the Power of GenAI: A New Era for Data Science Education forCivil and Environmental EngineeringMatthew Yukio Takara, Carnegie Mellon University Matthew Yukio Takara is a Ph.D. student in the civil and environmental engineering department at Carnegie Mellon University. He holds a B.S. in civil engineering with a minor in data science from the University of California, Berkeley and a M.S. in civil engineering from Carnegie Mellon University. In addition to his interest in engineering education research, his thesis research focuses on the sustainable and ethical use of AI and sensing technologies in
transformation and artificial intelligence 3. Enhancing Undergraduate Education and 5. Enabling regional initiatives in entrepreneurship Curriculum Improvement and innovation 4. Ethics and Society in Engineering Education 6. Entrepreneurship and innovation to overcome the 5. Government, Industry, and University economic and financial crisis 6. Management of Engineering Education 7. Equal rights, opportunities and spaces for women in 7. Online and Remote Laboratories Latin America and the Caribbean in the 8. Recruitment and Retention in Engineering professional field 9. Technology for
experience, perceived reliability of AI-generated content, and the extentto which AI aligns with their learning goals [9-12]. Moreover, concerns about the accuracy of AIoutputs and ethical considerations, such as potential biases in AI algorithms, have been raised byboth students and educators [13-16].Studies involving generative AI tools in STEM education suggest a mixed response: studentsappreciate the efficiency and accessibility of AI tools but remain cautious about over-reliance andthe lack of critical evaluation skills when using AI-generated solutions. This highlights the needfor educational interventions that not only incorporate AI tools but also teach students how tocritically evaluate and effectively integrate these technologies into