[10], [13].Ethical concerns also emerge with the use of GenAI in assessments. Misuse of these tools canlead to academic dishonesty and reduce student accountability [11], [17]. Maintaining academicintegrity is critical, as it ensures students engage meaningfully with assessment criteria [5], [18].Transparency in the role of GenAI in grading processes is essential to build trust among studentsand educators [16].Bias and validity present further challenges. AI tools require extensive training to avoid biasesand ensure fairness across diverse student populations [1], [3]. Unfortunately, biases present inthe training data of GenAI models can result in inconsistencies and fairness concerns in grading[6], [13]. Additionally, rubrics designed with
device usermanuals, product priority dates, accuracy assessment, clinical device studies, regulation,component design, and manufacturing. Students also address ethical implications of teardowns,including the dissemination of the resulting device information. Pre/post-project surveys help toassess student self-perceptions of learning, and summative learning assessments based on topicalrubrics are underway. To date, the month-long project has been utilized with 48 students enrolledin three offerings of a three-credit, senior-level, one-semester BME 575 – Clinical SystemsEngineering course at Kansas State University as a means to introduce students to medicaldevice development issues that they may not otherwise consider prior to employment.I
system mapping tools in teams of 3-8 people. Each individual was alsosurveyed before and after the workshop to better understand their learning goals, projects, andawareness of system mapping. Structural coding was used to study resulting maps and surveydata, against a conceptual framework for systems thinking. Most maps only focused on thediffusion of technical knowledge from the research field outwards to the public and assumed thatgood research from academia would lead to overall good in the system. Although most teamsidentified various stakeholders on their maps, only technical expertise was acknowledged acrossmany of them. For the few instances where regulations, ethical, social, environmental andeconomic considerations were included on
critical aspects necessary to create virtual worlds that are engaging, inclusive,and developmentally appropriate for young children. These elements are: Engagement andMotivation (EM), Collaboration and Teamwork (CT), Creativity and Problem-Solving (CPS),Communication and Interaction (CI), Inclusivity, Accessibility, and Age-Appropriate (IAA),Design and Environment (DE), Data Security and Privacy (DSP), Safety and TechnicalSecurity (STS), Evaluation and Feedback (MEF), Cultural Responsiveness (CRR), CommunityBuilding (CB), Facilitation and Educator Tools (FET), Ethics, Empathy, and Decision-Making(EDM) [4]. This paper uses these elements to develop the virtual world environment in Roblox.Table. 1 Elements for Virtual World [4]. The VW integrates
intheir journey to the second year through the First Year Engineering Program (FYP) and theirdedicated faculty. While there are multiple courses under the FYP umbrella, the flagship coursesinclude two introductory/fundamental engineering courses. These are hands-on courses that alsoexplore CAD software, computer programming, microelectronics, ethics, and design. The coursegoals are shared between the two courses and include the following overarching pointsdeveloped by FYP faculty: ● Goal #1. Discover the iterative engineering design process through authentic, hands-on design projects. ● Goal #2. Integrate value-sensitive design, ethical principles, and professional responsibilities into engineering design. ● Goal #3
traditional full-length videos.3) Procedure: The survey was administered online using Microsoft Forms. Participants receivedan invitation via their university email addresses and were given a 15-day period to complete thesurvey at their convenience. Participation was entirely voluntary. To encourage participation,students were offered an optional extra credit opportunity, approved by the course instructor andin accordance with university policies.4) Ethical Considerations: This study received approval from the Institutional Review Board(IRB) at the University. All procedures performed in the study involving human participantswere in accordance with the ethical standards of the institutional research committee and with the1964 Helsinki Declaration and
by incorporating social justice, ethics,problem definitions, and professional development considerations, many still rely on technically-focused a developed during the Cold War ([28], as cited in [24]). Robinson [3] analyzedengineering textbooks’ approaches to teaching electrical circuits over about 80 years (1940-2017), focusing on how they present and understand engineering knowledge. Although morerecent textbooks included brief “real-world” applications at the beginnings and ends of chapters,they primarily concentrated on mathematical analysis, problem-solving, and technical details,minimizing theoretical explanations. By contrast, earlier textbooks contained more detailedwritten explanations, emphasized theoretical understanding, and
both the ASCE ExCEEd New Faculty Excellence in Civil Engineering Education Award (2012) and the Beer and Johnston Outstanding New Mechanics Educator Award (2013). ©American Society for Engineering Education, 2025Exploring the Capability of Generative AI as an Engineering Lab Report AssessmentAssisting Tool AbstractSince ChatGPT’s public launch in November 2022, considerable discussion and changes haveoccurred in higher education. Active educational research related to generative artificialintelligence (GAI) has been conducted in various areas, including student learning, ethics, andassessment. Although many authors have raised concerns about the impact of GAI
individualistic norms they associate with the United States. Public infrastructure, particularly the transitsystem, was praised for its accessibility, reliability, and environmental integration, prompting several students to reflect onthe limitations of comparable systems in the U.S. Cultural observations often centered on social restraint, rule adherence,and expectations around personal conduct in public spaces, which challenged students’ assumptions about Germanformality and perceived aloofness.Sustainability emerged as a deeply embedded societal ethic, with students noting that practices such as energyconservation, water purity, recycling, and walkability were not framed as special efforts, but as integral parts of everydaylife. This led many to
ABET outcomes selected by the engineering department forthis course. The revised class was piloted in the Fall semester of 2023. For the BS in Engineering, ABET has 7 outcomes which must be achieved to attain orretain accreditation. [7] The program must have documented student outcomes that support theprogram educational objectives. [8,9] Attainment of these outcomes prepares graduates to enterthe professional practice of engineering. For Robert Morris University, the Introduction toEngineering ENGR1010 course is designated to assess outcomes 3, 4a, 4b and 7. 3. an ability to communicate effectively with a range of audiences. 4. (a) an ability to recognize ethical and professional responsibilities in engineering
Paper ID #48182Considering Personal Mastery as a Framework for Developing Students’ Affinityfor Lifelong Learning [Research]Bailey Kathryn McOwen, Virginia Polytechnic Institute and State University Bailey McOwen is a Ph.D. student in Engineering Education at Virginia Tech with an academic foundation in physics and industrial engineering. Her research focuses on workforce development, professional training for engineering practitioners, and engineering ethics, with an emphasis on how emerging technologies can enhance continued education. Through her research, service, and academic work, she aims to bridge engineering
discussionsremained focused and relevant, and intentionally anchored conversations around the GE learningoutcomes. Based on the number of learning outcomes and the time allocated for this portion, theUGC organized discussions around six guiding topics, each one to be discussed within 15 minuterotating table discussions: 1. Engineering design skills (e.g., problem scoping and solving, data analysis, decision making) 2. Engineering tools (e.g., programming, CAD, prototyping) 3. Holistic issues (e.g., stakeholders, ethics in engineering) 4. Teamwork (e.g., equitable teaming, conflict resolution) 5. Communication (e.g., reports, presentations, citations) 6. Academic success (e.g., major choice, transitions to college and majors, self
, undergraduate engineering educationincreasingly emphasizes the development of self-regulated professional students equipped withthe skills and competencies necessary for the field. Civil engineers play a vital role in creating asafer, more sustainable, and ethically responsible society, necessitating a strong foundation inprofessionalism. This principle is a core component of the ASCE Body of Knowledge [1], whichhighlights the importance of ethical and responsible practice. Similarly, the National Society ofProfessional Engineers [2] mandates integrity, honesty, and impartiality to protect public welfare,and the Accreditation Board for Engineering and Technology (ABET) [3] reinforces ethicalresponsibility as a key learning outcome for engineering
, and ethical decision-making. Furthermore, students demonstrate a stronginvestment in learning these skills, driven by their recognition of the importance of hands-onexperience and practical knowledge for success in the workplace. This motivation ensures thatmechatronics engineering capstone projects, regardless of their source, serve as a vital linkbetween academic preparation and industry expectations. The remainder of this paper is outlined as follows. Section II describes the methods andapproach used for both faculty-driven and student-driven projects. Section III presents thequalitative and quantitative results comparing both types of projects. Section IV provides adiscussion of the results, and Section V provides concluding
adopting it for various tasks. ChatGPT may disrupt currentpractices, raising concerns about job displacement [29]. Several situations in a student’s life willrequire them to use AI tools like ChatGPT. In some cases, technology will be helpful; in others, itmay not be appropriate. Therefore, pedagogical shifts are required to educate students on theutilization and ethics of ChatGPT, including highlighting the necessity for cross-checking andequipping them with the knowledge and skills to manage without it when needed.Recently, several works exploring the potential benefits and threats of ChatGPT ineducation [30-36] have been published. The authors of a study on the impact of ChatGPT onassessments in engineering education [37] outline opportunities
electric vehicle (EV) technology. CED explores theintersection of air quality with EJ and sustainable transportation topics from a local geospatialperspective. Initial findings show that CED increased students’ understanding of the engineeringdesign process and the role of incorporating EJ in design solutions.After several years of classroom testing and revisions, CED is now published and freelyavailable through the TeachEngineering online digital library to extend its reach and adoption.IntroductionEngineers act in the service of healthy communities [1], and Environmental Justice (EJ) is a keyelement of ethical engineering. This reinforces the importance and necessity that engineers mustengage with all stakeholders and assess the value and
, researchassistance, automated grading, writing coach, make lesson plans, help to make progressreports, also helping the teachers how to teach a subject [76], [77], [78]. Although GenAI is apowerful technology in education, it still needs to be used with extra caution to ensure usingit safely and responsibly. For example, in [70], the article discusses the application ofArtificial Intelligence in online learning and distance education, based on a systematic reviewof empirical studies. The application of AI in these settings has been shown to enhance thelearning experience by personalizing the content, facilitating peer interaction, and providingreal-time feedback. Nevertheless, it also warns of the ethical and legal implications ofwidespread AI use in
syllabi, how manyaddress knowledge unit XXX?” This experiment was conducted by providing up to six individualsyllabi simultaneously (limited by the platforms and their associated context windows). A secondversion of this experiment was conducted by providing a single combined PDF document, whichincluded all 16 syllabi. This document was optimized and text-recognized using Adobe Acrobatto assist with readability by the LLM. The authors used the Policy, Legal, Ethics, and Compliance(PLE) knowledge unit, which was known to be unique to one specific syllabus, where many of theothers could have been generalized. This selection was made to help assess the accuracy of theevaluation. For ease of identification, the single combined document experiment
technologies toincrease efficiency in their work [29]. Ethical cautions of using AI were prevalent in the literature [19], [20], [23]. Thesecautions involved not only students’ ethical use of AI, privacy concerns, academic quality,quality of the results generated and legal considerations, but a focus on needs for future policy,ethical review, and monitoring in evaluation of AI-generated content. Therefore, cautions shouldbe held at the forefront of future research in engineering education and in the skills developmentof future engineers.DiscussionRQ1: How have engineering educators used generative artificial intelligence (AI) tools toenhance students' proficiency of industry professional skills? As the implementation of AI in engineering
degradation and utilizeresources efficiently so that the environmental, economic, and social benefits minimize theenvironmental degradation created through the life cycle of the built environment [1]. From amechanical engineering and renewable energy perspective, sustainable energy means usingenergy resources wisely and efficiently to meet the energy needs of the present withoutcompromising the ability of future generations to meet their own energy needs. Sustainability isa professional and ethical imperative [2]. It is unethical for a group of people from the currentgeneration to ignore or diminish the abilities of future generations to provide for themselves.Sustainability issues should take on an increased presence in university classrooms. The
Paper ID #47998From Railroads to Electrified Roadways: How Lessons from United StatesEngineering Education Can Power Tomorrow’s InfrastructureLazlo Stepback, Purdue University at West Lafayette (COE) Lazlo Stepback is a PhD student in Engineering Education at Purdue University and Adjunct Faculty at Ivy Tech Community College. His current research interests focus on engineering ethics and how students ethically develop as engineers. He also works with the ASPIRE engineering research center looking into engineering workforce development for electrified roadways. He earned a B.S. in Chemical and Biochemical Engineering at the
-2021-2022/. [Accessed 17 June 2021].[2] NSPE, "NSPE Code of Ethics for Engineers," 2021. [Online]. Available: https://www.nspe.org/resources/ethics/code-ethics. [Accessed 17 06 2021].[3] ASCE, "Civil Engineering Body of Knowledge: Preparing the Future Civil Engineering, Third Edition," American Society of Civil Engineers, Civil Engineering Body of Knowledge 3 Task Committee, Reston, 2019.[4] AAEE, "Environmental Engineering Body of Knowledge," American Academy of Environmental Engineers, The Environmental Engineering Body of Knowledge Task Force, 2009.[5] Engineering for One Planet, "Engineering for One Planet," 2024. [Online]. Available: https://engineeringforoneplanet.org/. [Accessed 18 November 2024].[6] U.S. Green
inconstruction management raise questions about liability and ethical guidelines, which need to beaddressed in the curriculum. Finally, the adoption of automation in the ConstructionManagement curriculum needs to maintain a balance between physical skills and newtechnological competencies to ensure the technological usability for students.Construction automation has been gradually incorporated into the construction engineering andmanagement programs across the United States. The content analysis of 77 U.S. institutions thatoffer the construction management program showed that construction automation and its relevantcomponents have been fully and partially incorporated into twelve institutions, as described inTable 1. There are four institutions that
, including the legal and ethical use of information. Prior to finding his home in academic librarianship, he worked as a reliability engineer in the nuclear power industry and later as an attorney. Eric has a BS in Physics from Harvey Mudd College, an MA in Information Resources and Library Science from the University of Arizona, an MS in Management of Technology from Arizona State University, a JD from the University of San Diego, and he is currently enrolled in ASU’s PhD program for Engineering Education Systems and Design. Outside of the library, he enjoys travel, skiing, and trivia contests. ©American Society for Engineering Education, 2025 Bridging Information Literacy and Data
toopen-ended questions. LLMs quickly proved their usefulness in tasks ranging from the generationof novel research ideas [1] to making medical decisions [2]. Despite their widespread adoptionand application, however, concerns remain about their accuracy [3] as well as ethical issues,including their environmental impact [4] and potential for bias [5].1.1 LLMs in EducationIn a systematic literature review of the use of LLMs in education, Yan et al. identified ninedifferent ways that they are being used, including assessment, performance prediction, andproviding feedback to students [6]. While developing curriculum is not specifically mentioned intheir taxonomy, two of the categories – teaching support and content generation – have
“…During the second half of the spring 2020 semester, [39] Sustainability within First-Year students across 19 sections of the course were presented with Cornerstone Design the same design prompt: How can you improve sustainability at Penn State and in the local communities?...” Educating Engineers to Work “…This article presents faculty perspectives on the ethical [40] Ethically with Global and societal issues (ESI) that should be taught and the Marginalized Communities pedagogies that are used to prepare students for development engineering…”The relationship between each article in Table 1 and the EOP Framework [20
: Discover Engineering ● Iterate and evolve the definition of what it means to engineer and be an engineer. ● Recognize the value of engineering for all regardless of one's potential career. ● Explain and apply ethical & societal considerations when exploring an engineering problem. Yellow Thread: Engineering in Society ● Explore the impacts of past engineering successes and failures on society as a whole. ● Recognize and investigate the world's greatest challenges and the role that engineering plays in solving these challenges (e.g., Engineering Grand Challenges, UN sustainability goals, etc.). ● Integrate cross-disciplinary thinking and expertise to inform design solutions that
conceptual understanding: A proposal for qualitative two-tier exam questions,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2015. doi: 10.18260/p.24516.[69] R. Kelley and B. Dooley, “The technology of cheating,” in 2014 IEEE International Symposium on Ethics in Science, Technology and Engineering, ETHICS 2014, IEEE, 2014, pp. 14–17. doi: 10.1109/ETHICS.2014.6893442.[70] D. D. Carpenter, T. S. Harding, C. J. Finelli, S. M. Montgomery, and H. J. Passow, “Engineering students’ perceptions of and attitudes towards cheating,” Journal of Engineering Education, vol. 95, no. 3, pp. 181–194, 2006, doi: 10.1002/j.2168- 9830.2006.tb00891.x.[71] L. Suskie, Assessing student learning: A common
engineering course, where all students in the course can use this toolthroughout the term. This will allow the researchers to investigate this intervention from aholistic perspective and understand some of the long-term benefits and shortcomings of thisproject management tool, which can be used to improve the tool.Ethical ConsiderationsWhile this study explores the potential benefits of AI-powered task distribution in project-basedlearning, it is equally important to acknowledge the ethical concerns and pedagogical challengesassociated with automating project management processes. The integration of AI in engineeringeducation, particularly in project management, raises critical questions about skill development,fairness, and long-term impacts on
. Totackle them, it is essential to incorporate diverse perspectives that reflect themultifaceted nature of the world. Different cultural contexts provide the foundation fortailoring global problems into localized solutions that are both practical and sustainable.Additionally, varied life experiences bring unique insights, enriching the understandingof ethical and social challenges within engineering, thereby fostering morecomprehensive and impactful approaches to problem-solving.Diversity is an absolute necessity for the industry, as it drives innovation, fosterscreativity, and enhances problem-solving by bringing together a wide range ofperspectives and experiences (Direito et al., 2021; Leever, 2020; Jones et al., 2020).Engineering solutions