watch out for with respect to accuracy, assumptions, and extrapolation) 3.6 Transport: Describe and give examples of the three modes of transport 3.5 Thermo: Calculate changes in thermodynamic properties using the first and second laws of thermodynamics in conjunction with equations of state or departure functions 3.5 Math Methods: Apply parametric (t statistics) and nonparametric (U statistic; K-S statistic) tests to determine when significant differences exist between two or more sets of data. 3.4 Safety: Assess the safety of a laboratory operation.3.3 Survey analysis of non-core learning objectivesWe created and
Intelligence”, Journal ofTransformative Learning, 10(2), 92-103.[4] C. Ka Yuk Chan, W. Hu. (2023).” Students’ voices on generative AI: perceptions, benefits,and challenges in higher education.” International Journal of Educational Technology in HigherEducation. Cham: Springer International Publishing.[5] R. E. Cummings, S. M. Monroe, & M. Watkins (2024). Generative AI in first-year writing:An early analysis of affordances, limitations, and a framework for the future. Computers andComposition, 71, 102827.[6] A. Hill Duin, et al., (2023). “Stronger Relationships, Stronger Programs: Asserting Expertisefor a Generative AI Landscape.” Council of Professional, Technical, and ScientificCommunication, Annual Conference. Charleston, SC (September 23).[7] A
) whether the students andfaculty perceived the teaching methods of the courses to be the same, and 2) which method(s) thestudents preferred in each course and across all courses.Surveys to compare teaching methods have been widely published, but this study compared thesame cohort subjected to three different methods in the same semester. For an example of theliterature, in a survey of students and faculty of science courses, the faculty averaged across thecollege thought they used active learning more than the students did [1]. When the data werebroken down by department, the students and faculty agreed about the amount of active learningincluded except for geology courses. Students in that study listed problem-solving as their mostpreferred
]. Lloyd [19] also demonstrated that local knowledge (i.e., water quality, ruralpractices), parental employment skills, and community knowledge can make science learningmore relevant to rural children. Although this study did not specifically address rural children'sfunds of knowledge, Wilson-Lopez et al.’s [20] examined engineering-related funds ofknowledge. Their research highlighted how everyday skills and expertise, acquired throughfamilial, community, and recreational practices, facilitated the development of teamwork,systems thinking, ethical reasoning, and scientific and mathematical knowledge, which areessential for engaging in the engineering design process. While a growing body of literaturesuggests that funds of knowledge gained from
to human rightssuch as the right to health, privacy, and nondiscrimination. Audience participants brainstormed actionablerecommendations to hold accountable engineers, media organizations, and policymakers, such as ensuringdata accuracy, establishing validation protocols, and embedding transparency into AI systems. 5) Indivisibility of rightsThe final principle from Chacón-Hurtado et al.’s framework is indivisibility, the concept that no right canbe fully realized in isolation from others. To implement this principle, engineers must adopt holisticapproaches to their work, avoiding siloed strategies that might uphold one right at the expense ofviolating another [1]. At the symposium, Davis Chacón-Hurtado, Assistant Professor of Civil
psychology, neuroscience, and psychiatry," Frontiers Psychology, vol. 15, 2024.[2] L. H. Malinin, "How radical is embodied creativity? Implications of 4E approaches for creativity research and teaching.," Frontiers in Psychology, p. https://doi.org/10.3389/fpsyg.2019.02372, 2019.[3] R. M. Brooks and S. Shinde, "Unlocking the Creativity Potential," in 2020 ASEE Virtual Annual Conference Content Access, 2020, June.[4] M. Rhodes, An analysis of creativity, Phi Delta Kappan, 1961.[5] J. C. Kaufman, Creativity 101, Newyork: Springer, 2016.[6] D. &. C. A. J. Cropley, "Recognizing and fostering creativity in technological design education.," International Journal of Technology and Design Education, vol
partnerships, arange of challenges can arise. When obstacles arise, additional support is often needed. Manyinstructors from the No-COIL and COIL+ programs felt fully supported in their in-house andinternational partnerships. However, both groups also emphasized the need for more consistentcommunication. This relates to [11]’s literature communication is key from all parties involved tohave a successful program. A few instructors from each group offered recommendations toimprove the program and address these barriers. These findings may be attributed to the varyingexperience levels among instructors. Challenges may arise from managing global collaborationswith students and international partners.Teaching Global Learning Exchange (GLE)/Virtual Global
the modern workforce,bridge the skills gap, and drive innovation in advanced manufacturing and related industries.AcknowledgementThis project was funded through the National Science Foundation (NSF)’s Research Experiencesfor Teachers (RET) Program. Award # 2206952.References 1. Smith, J. A., & Smith, L. B. (2021). Robotics in Education: A Review of Recent Literature. Journal of Educational Robotics, 6(2), 45-60. 2. Johnson, M., Taylor, P., & Williams, B. (2021). Robotics and Automation in the Classroom: Preparing Students for Industry 4.0. Journal of STEM Education, 22(4), 1-12. 3. Taylor, A., & Hall, R. (2022). Integrating Automation and Robotics into STEM Education. Journal of Technology Education, 33(2), 4
Paper ID #45924How well are EAC-ABET Accredited Civil Engineering Programs PreparingGraduates for the PE Exam?Dr. Matthew K Swenty P.E., Virginia Military Institute Matthew (Matt) Swenty obtained his bachelor’s and master’s degrees in Civil Engineering from Missouri S&T and then worked as a bridge designer at the Missouri Department of Transportation. He then earned his Ph.D. in Civil Engineering at Virginia Tech followed by research work at the Turner-Fairbank Highway Research Center on concrete bridges. He is currently a professor of civil engineering and the Jackson-Hope Chair in Engineering at VMI. He teaches
] Nauta, M. and Epperson, D. (2003). A longitudinal examination of the social-cognitivemodel applied to high school girls' choices of nontraditional college[14] U. Nguyen, T. Russo‐Tait, C. Riegle‐Crumb, and K. Doerr, “Changing the gendered statusquo in engineering? The encouraging and discouraging experiences of young women withengineering aspirations,” Science Education, Jul. 2022, doi: https://doi.org/10.1002/sce.21748.[15] J. Perez, D. Cohen-Jarvie, and D. Drew, “ICT and women’s careers: Using grassroots ICT roexpand women’s participation in nontraditional careers,” in Technology and Women’sEmpowerment, E. Lechman, Ed., New York: Routledge, 2021, pp. 134–150.[16] S. Stewman, “Organizational Demography,” Annual Review of Sociology, vol. 14, no
Methods: Addressing Inequities, published in the American Behavioral Scientist 56(6) 802-813. © 2012 SAGE Publications. DOI:10.1177/0002764211433797[2] Cobian K., Hurtado S., Romero A., Gutzwa J. (2024). Enacting inclusive science: Culturally responsive higher education practices in science, technology, engineering, mathematics, and medicine (STEMM). PLoS ONE 19(1): e0293953. https://doi.org/10.1371/journal.pone.0293953[3] A. Jackson and L. Mazzei. "Deleuze and Guattari: Thinking with Desire" in Thinking with Theory in Qualitative Research, 2023.[4] US Department of Labor. Apprenticeship Related Webpages, Laws and Regulations, 2023. https://www.dol.gov/general/topic/training/apprenticeship[5
specifies eight different mathematical competencies, and defines amathematical competency as “a well-informed readiness to act appropriately in situationsinvolving a certain type of mathematical challenge” [11, p. 49, italics in original]. Thesecompetencies cover two broader capabilities: 1) asking and answering mathematical questionsand 2) working and communicating with mathematical language and tools. While competenciescan overlap in that one competency may be needed to achieve other(s), each competency isindividually distinct from the others. Table 1 provides the working definitions of eachcompetency, redefined based on the authors’ interpretation. Table 1: KOM Competencies and Definitions Competency Definition
difficult for someone withlittle to no science experience at this level.”“Sometimes the professor talks a little bit too fast to follow.”For Question 4, the students indicated that they were amazed or surprised in the following maincategories: rockets, orbits, space environment, and the connections to scenes in “The Martian”.In the rocket category, the main knowledge that was surprising or amazing was that most Earthatmosphere propulsions systems need air and thus do not work in space. They were alsoimpressed with how well the water rockets they built were able to fly. For the orbits category,some main recurring themes were that it was amazing how fast low Earth satellite orbits aretraveling (7.8 km/s), and how that there is still gravity in space
, “Zoombombing Becomes a Dangerous Organized Effort.” nytimes.com. https://www.nytimes.com/2020/04/03/technology/zoom-harassment- abuse-racism-fbi-warning.html (accessed Nov. 3, 2024) [6] P Buttles-Valdez, S Agapi, and F Valdez, A Holistic Approach to Process Improvement Using the People CMM and the CMMI-DEV: Technology, Process, People, and Culture, the Holistic Quadripartite Software Engineering Process Group 2008, March 2008, Tampa, Florida. [7] Peter J. Denning and Ted G. Lewis, “Exponential laws of computing growth,” Commun. ACM, vol. 60, no. 1, January 2017. [Online]. Available: https://doi.org/10.1145/2976758. [accessed Nov. 3, 2024]. [8] “Pastoral Instruction Aetatis Novae on Social
Foundation under Grant2130169. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. 10References[1] M. Bahnson, C.G.P. Berdanier, Current Trends in Attrition Considerations of Graduate Engineering Students in the United States*, n.d.[2] B.A. Burt, K.L. Williams, W.A. Smith, Into the storm: Ecological and sociological impediments to Black males’ persistence in engineering graduate programs, Am Educ Res J 55 (2018) 965–1006.[3] C.M. Golde, The role of the department and discipline in doctoral student
local laptop station, it isnecessary to use certain ports that may be restricted or closed by the network administrator. Theheadsets and local laptop must be able to see and connect to each other via IP address in thesame network and the system needs to be able to access the Serl.io website and domain for it towork. To facilitate this requirement, a separate network for the devices to reach the cloudservices was provided by the institution’s Center for Information Technology Excellence (CITE).Table 2. Hardware & Software Recommendations HoloLens 2 Headset(s) running HoloLens 2 MR Wi-Fi Labs App Need to ensure no firewalls or closed ports. Best if dedicated
. Cooney, K. Alfrey, and S. Owens, "Critical thinking in engineering and technology education: A review," in 2008 Annual Conference & Exposition, 2008, pp. 13.344. 1- 13.344. 16.[20] L. Claris and D. Riley, "Situation critical: critical theory and critical thinking in engineering education," Engineering Studies, vol. 4, no. 2, pp. 101-120, 2012, doi: 10.1080/19378629.2011.649920.[21] A. Godwin, "The development of a measure of engineering identity," in ASEE Annual Conference & Exposition, 2016.[22] D. Dumitru, D. Bigu, J. Elen, A. Ahern, C. McNally, and J. O'Sullivan, "A European review on critical thinking educational practices in higher education institutions," 2018.[23] C. P. Leão and A
students with moderate and severe disabilities: A review of the literature. Focus on Autism and Other Developmental Disabilities, 34(4), 195- 204. https://doi.org/10.1177/1088357619827932Browder, D. M., Spooner, F., Ahlgrim-Delzell, L., Harris, A., & Wakeman, S. (2008). A meta- analysis on teaching mathematics to students with significant cognitive disabilities. Exceptional Children, 74(4), 407-432. https://doi.org/10.1177/001440290807400401Browder, D. M., Trela, K., Courtade, G. R., Jimenez, B. A., Knight, V., & Flowers, C. (2012). Teaching mathematics and science standards to students with moderate and severe developmental disabilities. The Journal of Special Education, 46(1), 26-35. https
as reflecting the challenges forbiomedical engineers, or any engineers, that begin before and end well after the use of any particular AI or MLalgorithm or approach. The critical role of data in such work is well established and represents a necessaryperspective in preparing BMEs to lead technically competent and morally defensible AI/ML work [6], [7].Our data skills curriculum is actively evolving. We aim to increase student engagement in data skills-relatedlearning longitudinally. Many programs have created specific course(s), majors, or minors in data science[2],[8]. While adding a major or minor is effective for students who choose this type of coursework, we see abroader need to create a variety of opportunities that are tailored to the
environmental benefits,eliminating the use of leaded Avgas faces numerous challenges and introduces greateruncertainty to the fueling process, especially during the transition phase. The FAA has approvedtwo unleaded Avgas: Swift’s fuel UL94 and General Aviation Modifications, Inc.’s fuelG100UL [12]. Swift’s fuel has been commercially available for nine years and meets the ASTMInternational Standard, ASTM D7547, Specification for Hydrocarbon Unleaded AviationGasoline [12]. While G100UL holds an FAA Supplemental Type Certificate, it does not have anindustry consensus standard specification yet, such as ASTM D910 or ASTM D7547 [12]. Asmost FBOs do not have the tanking capability to have two or more grades of Avgas, if an FBOswitched to Swift’s UL94 fuel
eBooks, Place attachment: advances in theory, methods and applications, 2nd ed. (no. Book, Whole). New York: Routledge, 2020.[6] J. P. Reser, S. A. Morrissey, and M. Ellul, "The threat of climate change: psychological response, adaptations, and impacts," in Climate Change and Human Well Being, I. Weisbecker Ed. Springer Publications, 2011, pp. 19-42.[7] N. J. Godden et al., "Climate change, activism, and supporting the mental health of children and young people: Perspectives from Western Australia," Journal of paediatrics and child health, vol. 57, no. 11, pp. 1759-1764, 2021, doi: 10.1111/jpc.15649.[8] H. Banack and G. Tembrevilla, "‘Not elsewhere specified’: a case study of preservice teachers
points, with Group 1's average being5.81 and Group 2's being 4.91. This indicates that, on average, Group 1 achieved higher gradesthan Group 2.Applying ANOVA to compare performance (final grade) between Group 1 and Group 2 yieldsan F-statistic value of 116.8963 and a p-value of approximately 7.411684e-13. The p-value isextremely low (much lower than any standard significance threshold, such as 0.05), indicating astatistically significant difference between the two groups' final grades. This suggests thatacademic performance (measured by final grade) significantly differs between Group 1 andGroup 2.Analysis of Students' Work ExperienceBoth groups belong to the evening session, mainly consisting of students working during the day.Additionally
ve egat e gat egat ositi P o ely N h at N nor N h at P ely m w ve ew e m tre me siti om xtr Ex So P o S E t h er
properties (𝑃𝑃, 𝐿𝐿, 𝐸𝐸, 𝑎𝑎𝑎𝑎𝑎𝑎 𝐼𝐼) and deflection behavior (𝛿𝛿). • Develop skills in setting up and conduct beam deflection experiments and read deflections from the dial gauges.Challenges: • Making sure that students calculate the moment of inertia correctly. In our case all the beams are of rectangular or square cross section. • Proper alignment of support between span length and incremental load application to minimize experimental error. • Accurate measurement of small and large deflections, especially for stiffer and flexible materials like steel and wood(s) respectively. • Addressing variability in material properties, particularly for natural materials like wood (various
other variables thatcan be freely controlled. These variabilities provide a wide range of investigation and datacollection. Important parameters that can be studied are summarized below: 1. The yaw angle represents the relative angle between the turbine axis and the flow direction. The yaw angle ranges from -50 to +50 degrees with fine increment. 2. The pitch angle represents the relative angle between the turbine blades and the flow direction. The pitch angle ranges from -5 to 40 degrees with fine increment. 3. Fan speed represents the average speed of air flow into the tunnel. The fan produces air flow from zero to about 15 m/s or 33.5 mph. This is more than sufficient to mimic realistic wind speed, particularly
,” Journal of Chemical Education, vol. 96, no. 10, pp. 2072–2079, 2019. DOI: 10.1021/bk-2019-1330.ch001. 2- S. Dolnicar, B. Grün, and F. Leisch, "Teaching with clickers: Evidence from a large university classroom," International Journal of Educational Technology in Higher Education, 2022. DOI: 10.1007/s10639-022-11197-z. 3- Zhang, L., J. Cheng, J. Lei, et al., "Facilitating Student Engagement in Large Lecture Classes Through a Digital Question Board," Education and Information Technologies, vol. 28, pp. 2091– 2106, 2023. DOI: 10.1007/s10639-022-11197-z. 4- National Research Council, Ready, Set, Science!: Putting Research to Work in K–8 Science Classrooms, Washington, DC: The