students can approach these types ofapplications or having conversations with them afterwards to help them realize they have moreoptions than they think. We may not be able to guarantee that all students get to study their first-choice engineering major, but we should be better prepared to give them advice before and afterthey navigate these types of applications so they can align their preparation to their career goalsand have known alternative options in mind while making this tough decision.References[1] A. Van den Beemt et al., “Interdisciplinary engineering education: A review of vision, teaching, and support,” J. Eng. Educ., vol. 109, no. 3, pp. 508–555, 2020, doi: 10.1002/jee.20347.[2] P. J. Palazolo, S. Ivey, and C. V
/10.5038/2577-509X.5.1.10274. Sterling, S (2001) Sustainable Education – Re-visioning learning and change, Schumacher Briefing no6. Schumacher Society/Green Books, Dartington. ISBN 1 870098 99 4 https://www.greenbooks.co.uk/sustainable-education5. Education for Sustainable Development: A Systemic Framework for Connecting the SDGs to Educational Outcomes Vasiliki Kioupi and Nikolaos Voulvoulis, Sustainability 2019, 11, 6104; doi:10.3390/su112161046. Critical Thinking, Transformative Learning, Sustainable Education, and Problem-Based Learning in Universities, Ian Thomas, Journal of Transformative Education 7(3) 245-264, DOI: 10.1177/1541344610385753, http://jted.sagepub.com7. Cultures and Organizations: Software of the Mind, Geert
of students in correlation with their group.Figure 2. Average of each exam based on group and semester.In the analysis of course evaluations, we focused on three key questions that provided the mostrelevant feedback regarding the active learning modules: (1) “Please identify the instructor’sstrengths that contributed to your learning in the course,” (2) “What additional constructivefeedback can you offer the instructor that might help improve the course?”, and (3) “Whatconstructive suggestion(s) do you have for improving the course materials, organization, andassignments?” Student comments included both positive and negative perspectives. For example,a positive comment noted, I think having more active videos would help the students interact
structure.The following steps must be addede) Create frequency stepSteps – Create – Procedure Type: Linear Perturbation – Frequency, Define the number ofeigenvalues (natural frequencies) requested.f) Define Boundary ConditionsBCs – Continue – Select edge(s) -Pinned or Encastreg) Create and submit the jobJobs – Continue – OKJobs - Submith) Post-processJobs – ResultsClick on icon - Plot contours on deformed shape iconClick on arrows to change the mode of vibration. Frequencies appear on display below modes. Figure 1. Example of composite plate model and modes of vibrationFigure 1 shows the model (blue) followed by the first five modes of vibration. Frequencies andmodes will vary, depending on boundary conditions, mechanical properties, density, number
research into her instruction. She is committed to student success and educational innovation, earning numerous accolades for her teaching and mentorship, including the University Faculty Excellence Award, multiple departmental teaching awards and Missouri S&T’s Woman of the Year for her impactful role as a mentor, educator, and leader.Dr. Rachel L Bauer, Missouri University of Science and Technology Dr. Rachel Bauer is a postdoctoral fellow in the Mining and Explosives Engineering Department at Missouri University of Science and Technology. She holds a PhD in Explosives Engineering from Missouri S&T, and both a master’s in Human Factors and Systems Engineering and a bachelor’s in Aerospace Engineering from
: 10.1016/J.CIRP.2021.05.008.[2] K. H. Tantawi, I. Fidan, and A. Tantawy, “Status of smart manufacturing in the United States,” 2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019, pp. 281–283, Mar. 2019, doi: 10.1109/CCWC.2019.8666589.[3] B. Wang, F. Tao, X. Fang, C. Liu, Y. Liu, and T. Freiheit, “Smart Manufacturing and Intelligent Manufacturing: A Comparative Review,” Engineering, vol. 7, no. 6, pp. 738– 757, Jun. 2021, doi: 10.1016/J.ENG.2020.07.017.[4] S. Sahoo and C. Y. Lo, “Smart manufacturing powered by recent technological advancements: A review,” J Manuf Syst, vol. 64, pp. 236–250, Jul. 2022, doi: 10.1016/J.JMSY.2022.06.008.[5] S. Terry et al., “The Influence of
learning methods, allowing a smoother and more gradual transition rather than anabrupt shift.Furthermore, funding is a significant consideration for institutions exploring VR adoption. Thework presented here was conducted using Oculus Rift S PC-powered VR gaming headsets, eachaveraging around $400 10 . Additionally, each headset requires a dedicated desktop, valued atapproximately $5000 in 2019, along with sufficient dedicated physical space for user interaction.These requirements make VR setups costly and space-intensive, limiting the number of studentsparticipating in VR-based learning at any given time.While high-end VR setups can be expensive, universities can explore alternative fundingstrategies to make adoption more feasible. For instance
, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] J.-G. Naud, “A history of benchmarking faculty salaries at RIT,” Rochester Institute of Technology, Rochester, NY, USA, May 2007. [Online]. Available: https://drive.google.com/file/d/19TsA1nrYIY6rVwVgQeLGCPSLqmZEFm6T/view[2] M. Bailey, S. Baum, S. Mason, J. Mozrall, and M. Valentine, “RIT EFFORT career life survey. Establishing the foundation for future organizational reform and transformation: ADVANCE EFFORT@RIT,” Rochester Institute of Technology, Rochester, NY, USA, October 2009. [Online]. Available: https://drive.google.com
Higher Education. Oryx Press, P.O. Box 33889, Phoenix, AZ 85067-3889; phone: 800-279-6799; fax: 800-279-4663 ($39.95)., 1997.[6] L. Vygotsky, Mind in society: Development of higher psychological processes. L. S. Vygotsky. Harvard University Press, 1978.[7] M. C. Schippers, “Social loafing tendencies and team performance: the compensating effect of agreeableness and conscientiousness,” Academy of Management Learning & Education, vol. 13, no. 1, pp. 62–81, Mar. 2014, doi: 10.5465/amle.2012.0191.[8] R. R. Hake, “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses,” Am. J. Phys., vol. 66, no. 1, p. 64, 1998, doi
., Brackley, C., Tarantini, M., Piselli, C., Hahn, J., ... & Pisello, A. L.(2020). A review of select human-building interfaces and their relationship to human behavior,energy use and occupant comfort. Building and environment, 178, 106920.[2] D'Oca, S., Pisello, A. L., De Simone, M., Barthelmes, V. M., Hong, T., & Corgnati, S. P. (2018).Human-building interaction at work: Findings from an interdisciplinary cross-country survey inItaly. Building and Environment, 132, 147-159.[3] Fabi, V., Spigliantini, G., & Corgnati, S. P. (2017). Insights on smart home concept andoccupants’ interaction with building controls. Energy Procedia, 111, 759-769.[4] Taylor, A. (2009). Linking architecture and education: Sustainable design for
. Fidan, I., & Gupta, A., & Hasanov, S., & Henrie, A., & Fidan, P. (2022, August), FlippedClassroom to Increase the Student Success in Manufacturing Courses Paper presented at 2022ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--4123311. I. I. de los Ríos Carmenado, F. Rodríguez López, and C. Pérez García, “Promotingprofessional project management skills in engineering higher education: Project-basedlearning (PBL) strategy,” International Journal of Engineering Education, vol. 31, no. Extra1, Part B, pp. 184–198, 2015.12. G. Berselli, P. Bilancia, and L. Luzi, “Project-based learning of advanced CAD/CAEtools in engineering education,” International Journal on Interactive Design andManufacturing (IJIDeM), vol
. Define the Objective • Identify what needs to be controlled o Tensile force at the vehicle-trailer connection • Determine the desired behavior or setpoint o The tensile force must fluctuate within the set amount range 2. Understand the System • Study the system o The system contains of the three main elements as follows § The vehicle § The vehicle-trailer connection (includes tensile force Sensor) § The semi-autonomous trailer (incl Motor) • Identify system inputs, disturbances, and feedback link(s), and outputs 4 o Inputs § The semi-autonomous trailer’s pushing
. Through theseprojects, students have successfully approached an open-ended design problem and worked witha team to deliver a variety of permanent on-campus structures.Course and Institutional ContextThe Cal Poly College of Architecture & Environmental Design (CAED) houses the disciplines ofarchitecture (ARCH), architectural engineering (ARCE), construction management (CM), cityand regional planning (CRP), and landscape architecture (LARCH). As a result, both seniorproject course options – ARCE 412 and 453, described below – for architectural engineeringstudents are interdisciplinary in ways unique to its location in the CAED. This can be attributedto: ARCE faculty member(s) that lead the capstone have their PE or SE license and haveexperience
. Tough conversations. Whole hearts. Random House.Cooperrider, D. L., & Srivastva, S. (1987). Appreciative inquiry in organizational life. Research inOrganizational Change and Development, 1, 129–169.Darwin, A., & Palmer, E. (2009). Mentoring circles in higher education. Higher Education Research &Development, 28(2), 125–136. https://doi.org/10.1080/07294360902725017Huerta, M., London, J., & McKenna, A. (2022). Engineering deans’ perspectives on the current state offaculty development programs in engineering education. International Journal of Engineering Education,38(4), 1073–1091. https://www.ijee.ie/1atestissues/Vol38-4/17_ijee4222.pdfLumpkin, A. (2011). A model for mentoring university faculty. The Educational Forum, 75(4
, build plate or bed temperature, scanning speed, and layer thicknessrespectively.Figure. 2. (a) Butterfly wing structure [22], (b) computer model of butterfly wing inspiredTPMS lattice structure, (c) Fused filament fabrication (FFF) tool, and (f)-(h) PLA-TPU TPMScomposite structure.Table. 1. Print Parameters used in this study for PLA and TPU polymers: Filament Te (oC) Tb (oC) v (mm/s) h (mm) Infill (%) PLA 210 60 40 0.3 100 TPU 230 60 20 0.3 1002.2 Processing and Characterization: After printing the TPMS samples, heat treatment was conducted at two differenttemperatures as
. Ellaway, "Researching models of innovation and adoption in health professions education," Medical Education, vol. 58, no. 1, pp. 164-170, 2024/01/01 2024, doi: https://doi.org/10.1111/medu.15161.[3] L. Floridi et al., "AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations," Minds and Machines, vol. 28, no. 4, pp. 689-707, 2018/12/01 2018, doi: 10.1007/s11023-018-9482-5.[4] D. L. Torre, C. Colapinto, I. Durosini, and S. Triberti, "Team Formation for Human- Artificial Intelligence Collaboration in the Workplace: A Goal Programming Model to Foster Organizational Change," IEEE Transactions on Engineering Management, vol. 70, no. 5, pp. 1966-1976
addresses all seven ABET learning outcomes through lectures, workshops, team work, and individual assignments and culminates in a group-based final presentation and written paper. In addition to the project experiences, students complete several professional development activities intended to increase their understanding of various topics integral to the engineering profession, including economics, ethics, safety, social context, and technical communication. s part of their professional development, students were asked to develop their own performanceAassessments. At the beginning of the course, students were asked to design a series of activities they could complete in one month’s time in the categories of
KSAs includes “Attributes” instead of “Abilities.” The specific definitions are as follows: ● Competencies: “the knowledge, skills, abilities, attitudes, and other characteristics that enable a person to perform skillfully (i.e., to make sound decisions and take effective action) in complex and uncertain situations such as professional work, civic engagement, and personal life” [1],[14]. ● Knowledge (K): “Knowledge is what one knows (i.e., What I know)” [1]. ● Skills (S): “Skills are what one can do (i.e., What I do)” [1]. ● Attributes (A): “Attributes contribute to who one is (i.e., Who I am)” [1]. For the purposes of this study we used the framework to guide the research questions,data collection, and data analysis
Conference, Middle Tennessee State University, January 12-13, 2024.[5] Nagel, J. & Pidaparti, R. “Fostering innovation through bio-inspired projects in engineering design education.” Proceedings of the Design Society. 2024; 4:2935-2942. doi:10.1017/pds.2024.297.[6] Tíjaro-Rojas, R., Arce-Trigatti, A., Cupp, J., Pascal, J., & Arce, P. E. “A Systematic and Integrative Sequence Approach (SISA) for mastery learning: Anchoring Bloom's Revised Taxonomy to student learning”. Education for Chemical Engineers, 17, 31-43, 2016.[7] Jorgensen, S., Arce-Trigatti, A., Mathende, A., Cain, S. B., Harris, A. H., Sanders, J. R., & Arce, P. E. "An activity to illustrate teamwork: An introduction to the renaissance
the author(s) and do not necessarily reflect the views of the Institute ofMuseum and Library Services. We would like to thank our library partners and participants forsupporting this project.References[1] M. Munn et al., “Celebrating STEM in Rural Communities: A Model for an Inclusive Science and Engineering Fesitval,” J. STEM Outreach, vol. 1, no. 1, Jan. 2018, doi: 10.15695/jstem/v1i1.4.[2] M. E. Lopez, L. Jacobson, M. Caspe, and R. Hanebutt, “Public Libraries Engage Families in STEM”.[3] K. Yuen and C. L. Liew, “Examining Public Library Collaborative Partnerships with School Makerspaces and ‘Making Programmes,’” J. Libr. Adm., vol. 62, no. 6, pp. 793– 809, Aug. 2022, doi: 10.1080/01930826.2022.2102381.[4] A. A. Tawfik, C. E
Engineering Education (ASEE), “Profiles of engineering and engineering technology, 2021,” Washington, DC, 2022. [Online]. Available: https://ira.asee.org/wp-content/uploads/2022/11/Engineering-and-Engineering-Technology- by-the-Numbers-2021.pdf[4] M. Curran, Q. Bloom, and S. Brint, “Does cluster hiring enhance faculty research output, collaborations, and impact? Results from a national study of U.S. research universities,” Minerva, vol. 58, no. 4, pp. 585–605, Dec. 2020, doi: 10.1007/s11024-020-09408-3.[5] B. A. Montelone, R. A. Dyer, and D. J. Takemoto, “A mentoring program for female and minority faculty members in the sciences and engineering: Effectiveness and status after 9 years,” J Women Minor Scien Eng, vol. 9, no. 3–4, p
/. [AccessedApril 5, 2024].[4] S. Lehmann, "Low carbon districts: mitigating the urban heat island with green roofinfrastructure," City, Culture and Society, vol. 5, no. 1, p. 1-8. 2014. [Online]. Available:http://www.sciencedirect.com/science/article/pii/S1877916614000046. [Accessed April 5,2024].[5] M. Premalatha, S. M. Tauseef, T. Abbasi, and S. A. Abbasi, "The promise and theperformance of the world's first two zero carbon eco-cities," Renewable and SustainableEnergy Reviews, vol. 25, p. 660-669, September 2013. [Online]. Available:http://www.sciencedirect.com/science/article/pii/S1364032113003146. [Accessed March 13,2024].[6] A. Janik, A. Ryszko and M. Szafraniec, Smart and sustainable cities: in search ofcomprehensive theoretical
warrant solutions that provide meaningful benefit at all scales. Anotherprofessor thought their research and the competition were a “good fit because the challenge[s] ofthe competition are always related to energy and buildings.” Participating provided insight intosubjects that were of interest to national laboratories and created an opportunity for professors tobrainstorm solutions to emerging topics. Both personal values and research interests werepowerful motivators that guided the decision to engage with the national competition.Opportunities to collaborate with other professorsThe nature of the real-world problem-solving project encouraged collaboration with otherprofessors. The topic areas focused on energy and building sciences, but their
one order of magnitude lowerwhen compared to a Raspberry Pi setup. Another platform is Forabot [31], an accessible robotic system for the imaging andsorting of microscopy fossils. In this article, we present a platform that takes advantage of these recent trends by producingan affordable, reproducible, and easy-to-use 3D imaging system. III. E MBEDDED D ESIGN For the implementation of the mussel imaging system, an ESP32-CAM module was mounted on a servo-motor platform.The ESP32-CAM is a compact camera module that features the ESP32-S chip, priced at approximately $10. It includes anOV2640 camera, several GPIOs for connecting peripherals, a microSD card slot for storing captured
. Inaddition to eight questions about students’ background and their QC learning experience, thepre-survey (shown in Table 2) includes five knowledge test questions, such as “Which of thefollowing can form a universal set of quantum gates?”. The five-point attitude questionnaire,adapted from Hanrahan et al. [42]’s work, consists of seven items that explore students’self-efficacy and identity related to QC. The post-survey retains the knowledge test and attitudequestionnaire from the pre-survey and adds a seven-item engagement and usability questionnaire,adapted from Brooke [43]’s study (shown in Table 3). It also includes three open-ended questions,such as “How did the Spin-Quantum Gate Lab aid your understanding of quantum computingconcepts?” and
, USA, in 1999, a M.S. degree in Computer Science from the AFIT, Wright-Patterson Air Force Base, OH, USA, in 2003, and a Ph.D. degree in Computer Science from the University of Texas at San Antonio, San Antonio, TX, USA, in 2009.Dr. David Long, Air Force Institute of Technology David S. Long is an Assistant Professor of Systems Engineering at the Air Force Institute of Technology and a Principal Systems Engineer at KBR. He previously served 25 years in the US Air Force in a variety of positions. His BS Industrial Engineering and Management (North Dakota State University), MS Engineering (California State University, Northridge), and PhD Engineering Systems (Massachusetts Institute of Technology).Ralucca A. Gera
Projects (VIP) Program at Purdue University: A Research Experience for Undergraduate Students,” in Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, 2021, pp. 1141–1145. doi: 10.1109/IEEECONF53345.2021.9723360.[14] H. Li, A. Öchsner, and W. Hall, “Application of experiential learning to improve student engagement and experience in a mechanical engineering course,” European Journal of Engineering Education, vol. 44, no. 3, pp. 283–293, May 2019, doi: 10.1080/03043797.2017.1402864.[15] S. Frerich et al., “Engineering Education 4.0 Excellent Teaching and Learning in Engineering Sciences,” 2016.[16] W. T. Botelho, M. D. G. B. Marietto, J. C. D. M. Ferreira, and E. P
understand and respond to human needs. This is especially crucial for the aging population in countries like Japan, where service robots can provide assistance in elderly care and healthcare settings. 2. International Collaboration and Cultural Exchange: The course fosters cross-cultural collaboration between students from Japan and the United States. Students not only learned technical skills but also gained an appreciation for the different approaches to robotics in each country. Japan’s deep technical expertise and the U.S.’s focus on applied robotics education complement each other, offering students a unique cross-cultural perspective. The joint program is a model for international educational
thestudent’s education. One practical use is that of automation in grading essays. Utilizing computerfeedback on essays has been discussed and researched since at least the 1960’s. AutomatedEssay Scoring (AES) has been used to provide quick feedback on student work. It is focusedmore on the technical and mechanical aspects of writing and seeks to replicate a human grader[7]. AES is generally more holistic in its assessment [2].AI use in reviewing and grading students’ assignments have been viewed as beneficial andpotentially more accurate than human-based review [1]. More recent uses of AI involve the useof Natural Language Processing (NLP) to aide in these tasks. NLP utilizes different machinelearning models and algorithms, with two common methods
/10.1029/2018GL079572Carleton, T., & Hsiang, S. (2016). Social and economic impacts of climate. Science, 353(6304),aad9837. https://doi.org/10.1126/science.aad9837City of Norfolk. (2023). Ohio Creek Watershed Project. Retrieved fromhttps://www.norfolk.gov/3867/Ohio-Creek-Watershed-ProjectHauer, M. E., Fussell, E., Mueller, V., Burkett, M., Call, M., Abel, K., McLeman, R., & Wrathall,D. (2020). Sea-level rise and human migration. Nature Reviews Earth and Environment, 1(1),28–39. https://doi.org/10.1038/s43017-019-0002-9Intergovernmental Panel on Climate Change (IPCC). (2021). Climate Change 2021: ThePhysical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of theIntergovernmental Panel on Climate Change. Edited