, Maryland: ASEE Conferences, Jun. 2023.[2] L. Espinosa, “Pipelines and pathways: Women of color in undergraduate STEM majors and the college experiences that contribute to persistence.” Accessed: Aug. 26, 2024. [Online]. Available: https://psycnet.apa.org/record/2011-13330-004[3] L. Foltz, S. Gannon, and S. Kirschmann, “Factors That Contribute to the Persistence of Minority Students in STEM Fields,” Plan. High. Educ. J., vol. 42, pp. 1–13, Sep. 2014.[4] S. Deitz and R. Henke, “Higher Education in Science and Engineering,” NSF - National Science Foundation. [Online]. Available: https://ncses.nsf.gov/pubs/nsb202332/characteristics-of-s-e-degree-recipients#s-e-degrees-by -race-and-ethnicity[5] E. Lichtenberger and C. George
societal implications if this AI-driven [2] B. Arslan, B. Lehman, C. Tenison, J. R. Sparks, A. A. López, L.system is deployed? Kasneci et al. [6] conclude commentary Gu, and D. Zapata-Rivera, “Opportunities and challenges of usingwith a call for “responsible and ethical” use of AI in generative AI to personalize educational assessment”, Front. Artif.education, advocating strategies like continuous human Intell., vol. 7, art. 1460651, 2024.oversight and critical evaluation. [3] N. J. Francis, S. Jones, and D. P. Smith, “Generative AI in higher education: Balancing innovation and
, the research team has also gathered quantitative data related to how the studentsengage with campus resources and personnel, as well as data on the character and composition ofthe students’ social support networks.Program descriptionThe SEED program was initiated in 2021 with support of the NSF S-STEM program which hasthe goal of recruiting and retaining financially-needy, academically-talented students to STEMcareers. The SEED program is open to students majoring in computer science or an engineeringdiscipline and the financial need requirement is satisfied by eligibility for the federal Pell grant.While not a requirement, students from backgrounds historically underrepresented in STEM areactively recruited to the program. Cohorts of
-human transference system encompasses user inter-action mechanisms, real-time control pathways, parameter sharing between local and cloud AImodels, and an ethical optimization process that integrates user satisfaction and privacy safeguards.This section outlines the principal equations that govern how user inputs and system states flowthrough the AI middleware, how control signals are assigned to local and cloud components, andhow experiential knowledge is updated across different domains.First, let us define the user interactions across multiple modalities, such as text or speech: (m) (m) S(t
optimal performance. These insights emphasize the importance ofengineering education programs that guide students in understanding how to select and integrateappropriate technologies based on specific application needs. In the long term, programs likeiEDGE will help in reshaping and cultivating a workforce that bridges the theory-practice divideand drives impactful advancements in edge computing and beyond.AcknowledgmentThis research is supported by National Science Foundation grants 2348711. Opinions expressedare those of the author(s) and do not necessarily reflect NSF’s views.References[1] Z. Sun, X. Zhang, T. Wang, and Z. Wang, “Edge computing in Internet of Things: A novelsensing-data reconstruction algorithm under intelligent-migration
in the Systems Engineering program in the department ofEngineering at the University of South Alabama. The six students that comprise the pilot classhave backgrounds in Computer Science, Artificial Intelligence, Electrical Engineering, CivilEngineering, Process and Control Engineering, and Forensics. Table 1 - Course Structure and ContentWeek Topic Sub-topic(s) Objectives 1 Motivation/Application Vocabulary Student shall be able to distinguish and Readings define the differences between Short Course intelligent digital twin
,assemblies, and drawings for the tracked vehicle.After the team uploaded their product data into Teamcenter, they began working with it in NX tocontinue designing the digital twin. Another significant feature of Teamcenter that the team utilizedin their design process was workflows. A workflow is a collaborative, step-by-step process thatmodels many basic business and design functions. Workflows can route an item for design reviewand approval, oversee the change management process, and track manufacturing and designprocesses. However, for this case study, the team employed a basic workflow that includedassigning a task to either a group or individual user, completing that task by the assigned user(s),and finalizing the workflow. A block diagram of
a description of how the budget will be used. a. For continuing project proposals: How does your project build on last year’s project? (Recommended: use your previous project’s evaluations, outcomes, and/or impact.)4. Project Rationale: How does your project support broadening participation in engineering?5. Project Audience: Faculty, Staff, Undergraduate Students, Graduate Students, Community Partners, etc.6. Project Category: E.g., improved support of graduate or undergraduate education, departmental culture, understanding areas for improved student support, mentoring practices, and student recruitment practices7. Research Question(s): What question(s) do you seek to answer with this project?8. Metrics
Paper ID #49597A YOLO-Based Semi-Automated Labeling Approach to Improve Fault DetectionEfficiency in Railroad VideosDylan Lester, Marshall University Dylan Lester is a third-year Electrical and Computer Engineering student and research assistant at Marshall University, with a research focus on machine learning.Prof. Pingping Zhu, Marshall University Prof. Pingping Zhu is an assistant professor in the Department of Computer Sciences and Electrical Engineering at Marshall University.Dr. Husnu Saner Narman, Marshall University Dr. Husnu S. Narman is an Associate Professor in the Department of Computer Sciences and Electrical
,she drafted a hiring handbook to guide search committees in engineering through the process.The content in the next section is content from this hiring handbook Pierrakos prepared andcontinuously improved from one year to the next.V. HIRING PRACTICES AT WFU ENGINEERINGIn this section, the hiring process Pierrakos instituted and implemented in hiring a diverse WakeForest Engineering team is showcased. Content herein is adopted from the WFU EngineeringHiring Handbook that Pierrakos prepared as Founding Engineering Chair to guide hiring. TheWFU Engineering Hiring Handbook was shared with all search committee members. Every steprequired intentionality around minimizing bias which is inherent in hiring processes.Step 1. Getting the Job(s
writing In-class activity2.1 Week 1: First In-person Meeting Activity: Setting Up Your Goal2.1.1 Use of MentimeterIn the first in-person class, the course expectations are introduced. A Mentimeter is used to makethe session interactive and engaging. The following questions are asked during the first meeting,allowing students to see their responses in real-time: How are you today? Use one word todescribe how you feel now. How do you rate your current writing skill? (0-100 points). Howmany journal articles (not including conference presentations) have you published so far? Whatare your expectations for this course? Have you used AI (e.g. ChatGPT) in your academic work?Which area(s) do you find challenging when starting to write? How are
]. whose responsibility was to mentor and develop the junior • An ability to apply knowledge, techniques, skills and engineer’s talent through on-the-job training. The first few modern tools of mathematics, science, engineering, decades of the 1900’s saw engineering students begin working and technology to solve well-defined engineering directly with mechanical machinery, test equipment and problems appropriate to discipline. undertaking design drafting roles. Dedicated lab space with specialized equipment was slowly being introduced in • An ability to design solutions for well-defined
of belonging, motivation, and academic performance. The following is anexemplar statement from Participant 2’s final reflective writing: The [program] has encouraged me to adopt a more empathetic and student-centered approach. Recognizing the psychological and emotional dimensions of student learning has led me to consider how academic policies and teaching practices can sometimes inadvertently contribute to student stress and disengagement. This shift towards a more empathetic pedagogy aims to create a learning environment that fosters student well- being and academic engagement.Participant 2 also described an actionable plan for his intended practices for providing feedbackto future students: I am
: Predictors and outcomes of heterogeneous science identitytrajectories in college. Developmental psychology, 54(10), 1977.[5] Eddy, S. L., & Brownell, S. E. (2016). Beneath the numbers: A review of gender disparitiesin undergraduate education across science, technology, engineering, and math disciplines.Physics Education Research Conference Proceedings, 13(3), 79–89.https://doi.org/10.1103/PhysRevPhysEducRes.13.020108.[6] Yosso, T. J. (2005). Whose culture has capital? A critical race theory discussion ofcommunity cultural wealth. Race, Ethnicity and Education, 8(1), 69–91.http://dx.doi.org/10.1177/07399863910131002.[7] Rincon, B. E., & George-Jackson, C. E. (2016). STEM intervention programs: fundingpractices and challenges. Studies in
ultrasonic waves," IEEE Transactions onthrough machine learning algorithms capable of predicting Ultrasonics, Ferroelectrics, and Frequency Control, vol. 42, no. 4, pp.irrigation needs based on historical data, integrating weather 619-629, 1995.forecasting for more adaptive water management, and [10] A. M. Kamal, S. H. Hemel and M. U. Ahmad, "Comparison of Linearincorporating solar power to improve sustainability and off-grid Displacement Measurements Between A Mems Accelerometer and Hc-functionality in remote agricultural settings. Sr04 Low-Cost Ultrasonic Sensor," in 2019 1st International Conference
Laboratory Course Development Story Matthew S. Kuester Computer Science, Engineering, and Physics Department University of Mary Hardin-Baylor AbstractFluid mechanics laboratory is a common component of mechanical engineering curricula, becausehands-on experiments allow students to experience key fluid mechanics principles (such as fluidstatics, Bernoulli’s equation, and conservation of energy) in a meaningful way. Establishing a newlaboratory course provides a unique set of challenges (building and selecting new equipment) andpossibilities (creating engaging, practical learning experiences for students).This paper
vehicle may alsobe conducted. Lastly, units other than the Gaged GX9 may be adapted and used on the system,and these results compared to those presented in this work.VII. eferences [1] O. Aaen, Olav Aaen's Clutch Tuning Handbook, Aaen Performance, 2007. [2] C. R. Willis, A Kinematic Analysis and Design of a Continously Variable Transmission, Blacksburg, VA: Virginia Polytechnic and State University, 2006. [3] S. S. Skinner, Modeling and Tuning of CVT Systems for SAE Baja Vehicles, Graduate Theses, Dissertations, and Problem Reports, no. 7590, 2020. [4] J. H. Gibbs, Actuated Continously Variable Transmission for Small Vehicles, Akron, OH: University of Akron, 2008. [5] K. Dobaj, W. Szczypiński-Sala and A. Kot, Frictional Problems
non-traditional active military and Veteran student groups.References[1] S. E. Lewis, "Retention and Reform: An Evaluation of Peer-Led Team Learning," Journal of Chemical Education, vol. 88, no. 6, pp. 703-070, 2011.[2] L. Gafney and P. Varma-Nelson, Peer-Led Team Learning Evaluation, Dissemination, and Institutionalization of a College Level Initiative, Springer Science & Business Media, 2008.[3] J. Liou-Mark, A. E. Dreyfuss and L. Younge, "Peer Assisted Learning Workshops in Precalculus: An Approach to Increasing Student Success," Mathematics & Computer Education, vol. 44, no. 3, p. 249, 2010.[4] M. Hernandez-de-Menendez, A. V. Guevara, J. C. T. Martinez, D. H. Alcantara and R. Morales-Mendez, "Active learning in
careers.Acknowledgment: The authors thank the U. S. National Science Foundation for sponsoring theresearch through a grant NSF-ITEST-1949493.References[1] S. Lucci, S. M. Musa, and D. Kopec, “Artificial Intelligence in the 21st Century,” pp. 1– 850, 2022, Accessed: Nov. 04, 2024. [Online]. Available: https://www.torrossa.com/en/resources/an/5671176[2] I. Lee, S. Ali, H. Zhang, D. DiPaola, and C. Breazeal, “Developing Middle School Students’ AI Literacy,” in Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, Virtual Event USA: ACM, Mar. 2021, pp. 191–197. doi: 10.1145/3408877.3432513.[3] T. Kurz, S. Jayasuriya, K. Swisher, J. Mativo, R. Pidaparti, and D. T. Robinson, “Investigating Changes
their usein other courses.In conclusion, integrating assessment-based strategies like peer evaluations and bonuspoint rubrics can significantly enhance student engagement and academic performancein challenging subjects. These approaches offer a more comprehensive evaluation ofstudents' efforts and contributions, promoting a more inclusive and effective educationalexperience.AcknowledgementsSpecial thanks to: UW Stout Provost’s Office, OPID, Valerie Barske, Heather Pelzel,Sylvia Tiala, all my OPID peers.References[1] Tinto, Vincent. "Enhancing student success: Taking the classroom success seriously." Student Success 3.1 (2012). https://doi.org/10.5204/intjfyhe.v3i1.119[2] Hu, S., Kuh, G.D. Being (Dis)Engaged in Educationally Purposeful
S. M. Sait, “Rethinking engineering education at the age of industry 5.0,” J Ind Inf Integr, vol. 25, 2022, doi: 10.1016/j.jii.2021.100311.[4] J. Sonnenberg-Klein, E. J. Coyle, and K. Saigal, “How ‘Multidisciplinary’ is it? Measuring the Multidisciplinarity of Student Teams,” in 2023 Annual Conference & Exposition, Baltimore, MD: ASEE, Jun. 2023. doi: 10.18260/1-2--43350.[5] J. Mellor and S. McGoldrick, “A Multidisciplinary Team-Based Approach to Addressing Climate Change in Fall River,” in ASEE North East Section, Fairfield, CT, Apr. 2024. doi: 10.18260/1-2--45751.[6] M. H. Ahmadian, “Effective Practices in Multidisciplinary Teamwork,” in 2011 ASEE Annual Conference & Exposition, Vancouver, BC
the advising model for broaderimplementation, while also exploring additional strategies to deepen student engagement in bothacademic and extracurricular activities. It would also be very informative to compare the trendsin engineering to other programs. By fostering an inclusive, supportive educational environment,mechanical engineering programs can more effectively nurture, retain, and empower diversetalent—critical for driving innovation, promoting equity, and advancing progress in the field.References[1] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, Engagement, and Migration in Engineering Programs,” J. Eng. Educ., vol. 97, no. 3, pp. 259–278, 2008, doi: 10.1002/j.2168
” Militarization in Engineering •“Especially aerospace in particular… it's split between the people who don't want to work for a defense company… and [those who] want to blow up people in the desert”This masculine environment, along with her boss watching conservative politicalvideos, made Konkon feel unsafe and uncomfortable within this technical role. Thismasculinity was present in engineering spaces on campus as well. Interestingly,Konkon equated aspects of masculinity with militarization in engineering. Shecriticized many of the masculine “dude-bro[s]” in engineering as being excited towork for defense companies and wanting to “blow people up in the desert”. Thisperception of engineering, and particularly the aerospace sector
Students”, Forbes, February 26, 2025,integrate AI tools into a master's course has increased student https://www.forbes.com/sites/danfitzpatrick/2025/02/26/chatgpt-to-be-comfort as well as raised awareness of its ethical issues [17]. given-to-all-estonian-high-school-students/ [6] I. B. Bunjaku, S. Gagica, M. D. Kent, “Integrating Digital Tools in Several factors may contribute to the students’ low Engineering Education: Social Impact of Technological Integration”,engagement in using AI tools for their learning. First, students IFAC PapersOnline 58-3 (2024) p. 118 - 122are simply
generate explanations based on the learner Student: " What is missing from the following definition of degrees of well as adjust the following responses. freedom in dynamic systems: it is the total number of displacements in a system." AI: The definition of degrees of freedom (DOF) as "the total number of TABLE V. EXAMPLE UNDERSTANDING BERNOULLI S EQUATION IN displacements in a system" is partially correct but incomplete. It misses the THE CONTEXT OF PUMP DESIGN following key points: 1. Independent Movements:ß Student: 2. Type of Motion: ... to pump design. 3
, longitudinalassessments of participants will be conducted over the next few years, as the program is ongoingand expected to continue until 2025, providing deeper insights into its effectiveness. The authorsalso plan to evaluate the impact of various program components on student outcomes and comparethe program's effectiveness with similar initiatives at other institutions, ensuring continuousimprovement and a broader understanding of its success.ReferencesAlaee, D. and Zwickl, B. (2021). A Case Study Approach To Understanding A Remote UndergraduateResearch Program., 480-485. https://doi.org/10.1119/perc.2021.pr.zohrabi_alaeeBosman, L., Soto, E., Ostanek, J., Garcia-Bravo, J., Lee, S., & Leon-Salas, W. (2023). Nsf ReuEntrepreneurially Minded Applied Energy
Paper ID #45387A Mobile Wall Mockup (MWM) as a Learning Tool for Construction andEngineering EducationDr. Kenneth Stafford Sands II, Auburn University Kenneth S. Sands II is an Assistant Professor at Auburn University in the McWhorter School of Building Science.Andrew Hughes, Auburn University ©American Society for Engineering Education, 2025 A Mobile Wall Mockup (MWM) as a Learning Tool for Construction and Engineering EducationAbstractMockups play a critical role in construction and engineering, offering tangible ways tounderstand complex system components and improve quality
. 9590, pp. 859–877, Sep. 2007, doi: 10.1016/S0140-6736(07)61238-0.[2] S. Dattani, L. Rodés-Guirao, H. Ritchie, and M. Roser, “Mental Health,” Our World in Data, Dec. 2023, Accessed: Nov. 15, 2024. [Online]. Available: https://ourworldindata.org/mental-health[3] D. Bhugra, A. Till, and N. Sartorius, “What is mental health?,” Int J Soc Psychiatry, vol. 59, no. 1, pp. 3–4, Feb. 2013, doi: 10.1177/0020764012463315.[4] “American College Health Association-National College Health Assessment Spring 2007 Reference Group Data Report (Abridged),” Journal of American College Health, vol. 56, no. 5, pp. 469–480, Mar. 2008, doi: 10.3200/JACH.56.5.469-480.[5] J. Hefner and D. Eisenberg, “Social support and mental health
survey indicate that industrymembers feel there are areas where academic graduate education falls short of preparing students forindustrial jobs. Future results will evaluate student experience and learning in both courses andcompare the results to students with and without internship experience. AcknowledgementsThe authors would like to thank Dr. Bernardo Martinez-Tovar and everyone at the ManufacturingTraining and Technology Center (MTTC) cleanroom for their assistance. The research wassponsored by the National Science Foundation Division of Graduate Education award number2325367. References1. Borah, D., K. Malik, and S. Massini, Are
disparity in distribution highlightsthe prevalence of both moderate-sized particles and a considerable abundance of larger particles,offering insights into the varied particle sizes present within the fly ash sample. We used thispublished data to generate the graph of the cumulative distribution of particles by size as illustratedin Figure 1.We curve fitted the plot, generated experimentally32, by an exponential function given by thefollowing expression as follows: 𝐹(𝑠) = 100(1 − exp (−0.0145𝑠1.165 ) (11)Where s is the size of the particle in m. F(s) is the percent proportion of the particle of a specificsize contained in the coal flay ash. The power capacity of the coal-fired power