plan to improve.”AI tools were also used to analyze differences between pre- and post-course responses to the question,“How do you define a healthy mindset toward failure?” The results, along with example quotes, aresummarized in Table 4. The full AI output is included in Appendix 3. Four main themes emerged withincreased prominence in post-course responses: 1. A stronger focus on growth and learning, often accompanied by more detailed and specific strategies. 2. An emotional shift toward viewing failure as a positive and essential component of personal growth. 3. A clearer articulation of resilience, emphasizing problem-solving and sustained motivation. 4. Responses that demonstrated greater depth and reflection
academic goals and have limited influence on research priorities. Timelypublication of research results is expected when intellectual property is involved to preserveacademic transparency and avoid delays due to commercial interests (Cho et al., 2000).Evaluation and EnforcementOversight and Enforcement MechanismsUniversities sometimes establish committees to evaluate disclosures, recommend managementplans, and enforce compliance (Harman, 2022). Individual COI management plans are created tospecify acceptable commercial activities, define boundaries, and outline reporting requirements.Disciplinary MeasuresNon-compliance with policies may result in disciplinary measures, including restrictions onentrepreneurial activities, revocation of access to
Paper ID #46121Retrospective Insights in Choosing a Career in EngineeringLily 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.Emmabeth Parrish Vaughn, Austin Peay State University Dr. Emmabeth Vaughn is an Assistant Professor in the Physics, Engineering, and Astronomy Department at Austin Peay State University. Before join faculty at Austin Peay, she worked in
critical to improvingefficiency and sustainability in construction projects [2].The Construction Engineering degree is essential for the sustainable and efficientdevelopment of urban and transportation infrastructure projects and building projects fordiverse uses such as residential, commercial, industrial, educational, and healthcare purposes.These projects demand a robust technical and practical knowledge foundation that enables thedesign, planning, and execution of constructions that address societal needs while respectingthe environment. Within this context, the Applied Statics course is included in mostConstruction Engineering programs due to its fundamental role in developing competenciesrelated to the analysis and design of structures [3
. Teaching students aboutstakeholder engagement through scaffolded lessons and reflections encourages them to ideatemore inclusive and stakeholder-centered design sketches. Directions for future improvement ofthe MODS module and plans for more intentional classroom discussions around stakeholders arediscussed.Keywords: Design Thinking, Design Education, Stakeholder Engagement, StakeholderIdentification, Pre-College1. IntroductionEngaging with and understanding the needs of diverse stakeholders is essential for engineersaddressing complex sociotechnical challenges. Stakeholders encompass all individuals who mightbe impacted by a design artifact (e.g., users, clients, and manufacturers) and even those indirectlyimpacted [1]. Effective engineering
to drill for rock samples Module D: Explore Mars Custom module Complete a coding exercise with an Autonomous focused on stereo vision, cost Vehicle map construction, and path planning with the Curiosity rover and watch the code executeOrbit Module E: Assemble Custom module Learn about the layout of aWeek and Launch a Rocket launch pad, the subsystems
that meet specified needs with consideration of public health, safety, and welfare, aswell as global, cultural, social, environmental, and economic factors; (3) an ability tocommunicate effectively with a range of audiences; (4) an ability to recognize ethical andprofessional responsibilities in engineering situations and make informed judgments, which mustconsider the impact of engineering solutions in global, economic, environmental, and societalcontexts; (5) an ability to function effectively on a team whose members together provideleadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meetobjectives; and (7) an ability to acquire and apply new knowledge as needed, using appropriatelearning
farms in the 1980’s and by 2022 had a total installed land-basedcapacity of about 144,000 MW (megawatts). Yet, it wasn’t until 2010 that the US Department of Interiorgave its approval for the first US offshore wind farm called Cape Wind which was planned to have 130turbines with total output power 400 MW. Each turbine was design to extend 400 feet above the surface ofthe sea and the wind farm was to cover 24 square miles of ocean about five miles off the Massachusettscoast near Hyannis Port and Nantucket Sound. After the project lost several key power supply contracts andsuffered licensing and financial setbacks the sponsor of the project terminated the project in 2017. Otherlarge projects such as 6,000 MW Atlantic Wind Connection, sponsored by
classrooms inIndiaParticipantsThere was a total of 22 participants in the workshop, who were faculty members belonging tovarious disciplines such as Computer Science, Engineering Design, Chemistry, ElectricalEngineering, Networking and Communications, Computational Intelligence, MechanicalEngineering, Computing Technologies, Data Science and Business Systems, Metallurgical andMaterials Engineering. These faculty members taught courses including Machine learning,Artificial intelligence, Computer Organization, Digital Image Processing, Data mining andanalytics, Production of iron, Production of steel, Introduction to Robotics, Field and ServiceRobotics, Introduction to Motion Planning, Data structures, Data analytics, Fourier Series andNumber theory
approach is presented from a comparison of close reads of several reviewsof bell hooks texts centered around Teaching to Transgress [6, 36-38]. The discussion detailsmore opportunities for expansion of this analysis to shed critical light on further innovations orgaps in practical deployment of these frameworks. The courseware was not planned with bellhooks in mind, but in reflection to her work we can hope to develop more just practices from ourobserved faults and triumphs.Grounded theory is utilized to conduct the methodology and execution of this study as aqualitative research measurement that generates theory from empirical data rather than existingliterature. Analysis occurs from substantiating research, confirming and enhancing the
education experience which includes STEM academic and student success/support programming, strategic planning, data analytics, and program evaluation. As a PI, she has garnered funds in excess of $3 million dollars from both NIH and NSF for broadening participation in STEM Undergraduate Education and as an Evaluator has worked on large projects with NSF (Big Data, BioGraph), Google CS-ER, and DOD STEM Student Success. Her distinguished record of STEM programmatic success (at HBCUs and PWIs) is well documented in publications and presentations. Dr. Leggett-Robinson’s latest publications, ”Demystifying Promotion & Tenure: A resource for Black Women” and ”Overcoming Barriers for Women of Color in STEM” are resources
inclusive visitor experience. Climate Resiliency: Collaborating with a city sustainability office to develop a plan for a climate resilience center that can offer services related to extreme heat and severe storms. Art and Language Models: Working with Fine Arts faculty and local artists to develop AI language models that help gallery visitors engage with art. Autonomous Vehicles: Contributing to a federally funded research project that will bring an autonomous vehicle transportation system to a rural community.EJF ParticipantsIn the beginning of the Fall 2024 semester, we recruited a first cohort of 12 undergraduate studentsto participate as EJF Fellows. The fellows were selected on the basis of an online application anda follow-up interview
, S. Hultine-Masengale, and S. Oerther, “Designing local food systems: Results from a three-year pilot,” in ASEE Annual Conference & Exposition, Tampa, Florida, 2023. [Online] Available: https://peer.asee.org/designing-local-food-systems-results-from-a-three-year-pilot.pdf.16. V. Henderson, “The nature of nursing,” AJN. Vol. 64, pp. 62-68, 1964.17. D.B. Oerther, and R. Watson, “Risk communication is important for environmental engineering during COVID-19,” Journal of Environmental Engineering (United States), vol. 146, no. 10, pp. 01820002, 2020. [Online] Available: https://doi.org/10.1061/(ASCE)EE.1943-7870.0001796.18. National gang Center, Strategic planning tool, [online] available: https://nationalgangcenter.ojp.gov/spt
may play a role? Whileconvergence research at the interface among two or more disciplines may be identified as thegreatest opportunity to solve pressing societal challenges, the lack of an audience to consumethis literature – and the prior existence of separate literatures unique to each of the disciplines –means that “translators” are needed to bridge the gap between nursing and engineering [3].As reported by the Nursing Is STEM (NIS) Coalition, “Nurses utilize scientific principles,mathematical concepts, and cutting-edge technology to conduct assessments, make diagnoses,and plan the care of patients. They employ evidence-based interventions to address illnesses,sustain human life, and, ultimately, assess the outcomes of the care delivered
meetings Q5: I talk with a country accent Q6: I have weekly dinners with my extended family Q7: I plan to live in this community all my life Q8: I follow local high school athletics Q9: My immediate family works in land-related production and/or extraction, such as farming, raising livestock, cutting lumber, and mining Q10: I or my family cans or preserves vegetables, fruits, and/or herbs Q11: I go to family reunions Q12: I go to the annual community festival or fair Q13: My family members have lived in this community for generationsThe second section of the rural identity survey inquired about a student’s inspirations,mentors, experiences mentoring others, and access to computing resources. These
assess the impact of the BSI onspecific underrepresented groups. In future work, we plan to assess the data by gender and othermarginalized identities to better understand the experiences of underrepresented students.Participation in the student experience survey was voluntary, and survey results may not havebeen representative of the experiences of all BSI alumni. There was less representation fromstudents in earlier cohorts of the program, with no responses from students in the 2019 cohort.However, more recent feedback will allow for iterative improvement of the current offering ofthe BSI.ConclusionThe success of the majority of BSI students in their engineering programs is highly encouraging,with most students successfully transitioning into
importance of outcomeexpectations in career planning. Similarly, self-efficacy showed a positive relationship with bothoutcome expectations (ρ=0.426) and career choice goals (ρ=0.434). These correlations suggestedthat students with greater self-efficacy tended to anticipate better outcomes and were more likelyto have clear career choice goals. In contrast, the weakest relationship was between self-efficacyand vocational interests (ρ=0.151), indicating a limited direct influence of self-efficacy onstudents' vocational interests in construction-related careers. This weak association suggestedthat self-efficacy alone may not directly translate into an increased interest in the constructionfield, pointing to a potential gap in how students perceive the
Industrial EngineeringTechnology program and were required to take the course; the remaining 2 students wereenrolled in the Mechanical Engineering Technology program and were taking the course as anelective. Class ranking included 1 sophomore, 9 juniors, and 5 seniors. Of the 15 students whoparticipated in the intervention, 14 completed both pre- and post- GES surveys.3.3. Case Study ScenarioInspired by the historical seismic activity of the Middle East and the 2023 Turkey–Syriaearthquakes, a case study was developed that applied concepts taught in the course (thetransportation problem) to humanitarian engineering. The scenario was presented as follows:“For the class project we will be developing a disaster relief plan to supply emergency
in-personsettings.To build on this work, we plan to investigate the impact of the structured role enforcement tool onstudents’ sense of belonging, expanding on prior research [14, 15]. Specifically, we will conductquasi-experimental studies comparing semesters when the tool was implemented (Spring and Fall2024) to those when roles were encouraged but not systematically enforced (Spring and Fall2023). This analysis aims to identify significant differences in students’ sense of belongingassociated with the tool’s adoption.Additionally, we will conduct a controlled experiment in a Spring 2025 class to gain deeperinsights into the tool’s effects. Students will be divided into two groups: one with access to therole enforcement tool and one
precision and distance. The activityencourages teamwork, creative problem-solving, and effective communication, setting astrong foundation for future collaboration.Activity 2 (mid-term): "Building Together: Team Collaboration and Decision-MakingChallenge." This activity aims to foster collaboration, decision-making, and conflictresolution within teams by simulating a construction project scenario. Students work ingroups to design and plan the construction of a 3m x 3m concrete slab with limited resources.The groups must identify and select the eight most critical resources from a provided list,considering key criteria such as cost, quality, durability, and time efficiency. Participants areassigned specific roles within their team (e.g., project
3 More 42 As expected 18 Prefer not 5 to answerLimitations and Future ResearchMultiple limitations should be considered when reviewing the results of this paper. First, whilethe sample size of 68 engineering faculty provides many perspectives, it may not fully capture adiverse enough population that represents perspectives across all institutional types, disciplines,and regions. Future research should consider expanding the sample size for a more representativedistribution of faculty demographics and institutional types.Additionally, the responses are limited to survey results which may introduce bias from aparticipant’s interpretation of the questions or how candidly they are willing to respond. Theauthors plan to follow up
strategies essential for effective instruction, positioning them asideal early adopters of AI conversational agents in educational settings. Consequently, thissystematized literature review focuses on how these agents are being integrated into existingeducational platforms and the significant role that engineering educators can play in advancingthis innovation. Understanding these dynamics is essential for planning our future steps in thisevolving field.Literature Review:Previous literature reviews on conversational agents in educational settings have explored abroad range of aspects, from technological implementations to the integration of learningtheories and their pedagogical applications. Studies such as those conducted by [2] have delvedinto
Paper ID #46898The Real Problem of Problem Abstraction: Examining Performance andSelf-Efficacy in a Civil Engineering ClassroomEvan Taylor, Clemson University Evan Taylor is a Ph.D. candidate in the Department of Mechanical Engineering at Clemson University. His research through the VIPR-GS focuses on model-based systems engineering of ground vehicles. As a senior member of the CEDAR design group, he actively mentors and collaborates with fellow researchers. He plans to propose his dissertation on model fidelity evaluation and model selection in May 2025. He also develops his skills as an educator and community leader
(compared to Latinxstudents at Predominantly White Institutions (PWIs)) are more likely to feel connected toengineering and plan to work in the field. Patrick et al. [19] examine the sense of belonging inLatine and white engineering students who attend a Hispanic serving institution, the importancea student places on their racial/ethnic/gender identity, and the correlation between their identityand their sense of belonging. They found that racial/ethnic centrality was higher among Latineengineering students and that gender centrality was higher for women. The authors developedand validated an adaptation of the Hurtado and Carter scale for a sense of belonging from theuniversity campus context to engineering, as well as an adaptation of the
-life cases of whistleblowing [22]. In class, we providedformal definitions of whistleblowing, brainstormed avenues for speaking up (e.g., bringing issuesto the attention of supervisors or team members, using organizational hotlines, going to local orfederal regulatory agencies), and discussed personal and professional risks, legal protections, andwhistleblowing regulations for engineers in different employment contexts. In groups, studentswere given several examples of public welfare wrongdoing and asked to brainstorm plans forhow they would approach whistleblowing in each instance.Wrap-UpThe final week of class was dedicated to group presentations. Like the op-ed assignment, pairs ofstudents were instructed to identify an engineering issue
emerged as powerful tools in education, offering thepotential to transform classroom dynamics through automation, personalization, and enhancedstudent engagement [1]. Educators have already begun utilizing LLMs to generate lesson plans,streamline grading, and provide personalized feedback to students [2]. Additionally, LLMs havebeen implemented as Intelligent Tutoring Systems, assisting students in gaining a deeperunderstanding of challenging topics by offering tailored explanations and interactive learningexperiences [3]. One particularly promising but underexplored application of LLMs in educationis their potential for personalized learning (PL), specifically in the realm of text adaptation.Unlike traditional PL approaches, which categorize
the Department of Electrical and Computer Engineering) and twograduate research assistants. The interviews were conducted and recorded via Zoom and tookplace with one participant and either one or two interviewers. The interview protocol included aseries of planned questions that focused on the positive and negative aspects of teaching in thedepartment, innovating teaching in the department, personal challenges and successes withteaching, and other teaching-related experiences, preferences, and ideas. Audio transcripts andinterviewer notes were analyzed via a thematic analysis approach.Post-Implementation Interviews Faculty members from the MEEN department (n = 8) were recruited to participate insemi-structured interviews over the
participantsto have direct manipulation and feedback.The program encouraged participants to have an active role in their learning, which follows aconstructivist approach to teaching and facilitation. The summer program began with participantslearning about datasets through the use of iNaturalist when visiting a garden anda museum.They also completed teamwork and planning activities. After this, more scientific discussionsbegan with the use of a peanut butter and jelly recipe writing activity, which served as a segueinto a discussion about algorithms and the importance of data in training AI models. From there,GTM was introduced using the example of shark teeth and three classes: cutting teeth, graspingteeth, and crushing teeth. Computer vision was
to assess the performance of chatbots.The authors plan to rebuild the DCI in a JSON format to facilitate automated testing of updatedversions of ChatGPT through the API 8,9. Hopefully this will stimulate more investigation intothe utility of modern AI tools, resulting in broader studies with more data for statistical analysis.Disclaimer: The views expressed in this article are those of the authors and do not necessarilyreflect the official policy or position of the United States Air Force Academy, the Air Force, theDepartment of Defense, or the U.S. Government. Approved for public release, USAFA-DF-2025-412: distribution unlimited.References[1] J. Qadir, “Engineering Education in the Era of ChatGPT: Promise and Pitfalls of