Paper ID #8747Place Based STEM: Leveraging Local Resources to Engage K-12 Teachers inTeaching Integrated STEM and for Addressing the Local STEM PipelineDr. Louis Nadelson, Boise State University Louis S. Nadelson is an associate professor in the College of Education at Boise State University, with a PhD in educational psychology from UNLV. His scholarly interests include all areas of STEM teaching and learning, inservice and preservice teacher professional development, program evaluation, multidis- ciplinary research, and conceptual change. Nadelson uses his over 20 years of high school and college math, science, and
questions. Therefore, we did not remove participants thatneglected to answer between one (1) and five (5) questions. After removing a total of 574participants, 1574 participants remained for exploratory factor analysis.Survey Participants’ Demographics The demographic information we collected from participants included (a) age, (b) gender,(c) years working as an engineer, (d) years working within academia, (e) engineering degree, and(f) current engineering practice. The engineering disciplines participants could select from weredepicted by the specific degree offerings from the university through which the survey was beingdisseminated. Table 2 shows the profession(s) of survey participants at the time of the survey.For each question
supported by the National Science Foundation under Grant No.1220305. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the National Page 24.1188.2Science Foundation.IntroductionWith the new Next Generation Science Standards (NGSS) [1], elementary teachers are called forthe first time to teach engineering to their students. For the teachers themselves, as well as thoseworking to provide curriculum and professional development to elementary school teachers inengineering, this is both an opportunity and a challenge. Adoption of engineering curricula
other engineering disciplines, both for understanding the underlying fundamental reasons for the impact, as well as to test the breadth of possible impact. The authors acknowledge the support of this work from NSF Grant #1226325. References1. ABET (2006-2007). Criteria for Accrediting Engineering Programs, Accreditation Board for Engineering and Technology.2. Donovan, M. S., Bransford, J. D. & Pellegrino, J. W. (Eds.) (1999). How people learn: Bridging research and practice. National Academy Press, Washington, DC.3. Salomon, G., & Perkins, D. N. (1989). Rocky roads to transfer: Rethinking mechanisms of neglected phenomenon. Educational Psychologist, 24(2), 113–142.4. Krause, S., Decker, J., Niska
American college students excelling inthe sciences: College and postcollege outcomes in the Meyerhoff scholars program. Journal ofResearch in Science Teaching, 37(7), 629-654.[13] Bragg, D. (2001). Community College Access, Mission, and outcomes: Considering intriguingintersections and challenges. Peabody Journal of Education, 76(1), 93-116.[14] Merriam, S. B., Caffarella, R. S., & Baumgartner, L. M. (2007). Learning in adulthood: Acomprehensive guide (3rd ed.). San Francisco: Jossey-Bass.[15] Maslow, A. H. (1970). Motivation and Personality (2nd ed.). New York, NY: Harper & Row.[16] Griffin, K. A., Jayakumar, U. M., Jones, M. M. & Allan, W. R. (2013). Ebony in the ivory tower:Examing trends in the socioeconomic status, achievement
: 1997-2006 [Data table 6]. Retrieved from http://www.nsf.gov/statistics/nsf10300/pdf/tab6.pdf 3. Freehill, L. M., DiFabio, N. M., & Hill, S. T. (2008). Confronting the "new" American dilemma— Underrepresented minorities in engineering: A data-based look at diversity. White Plains, NY: National Action Council for Minorities in Engineering. Retrieved from http://hub.mspnet.org/index.cfm/17110 4. Sinkele, C. N., & Mupinga, D. M. (2011). The effectiveness of engineering workshops in attracting females into engineering fields: A review of the literature. The Clearing House, 84(1), 37-42. doi: 10.1080/00098655.2010.496812 5. Kivett, T. (2010). American companies capture less than majority of 2009 U.S
). Educational Benefits of a Paperless Classroom Utilizing Tablet PCs. Cambridge, Massachusetts: Massachusetts Institute of Technology.10. Price, E., Malani, R., & Simon, B. (2005). Characterization of Instructor and Student Use of Ubiquitous Presenter, a Presentation System Enabling Spontaneity and Digital Archiving. 2006 Physics Education Research Conference, AIP Conference Proceedings, 893, 125-128.11. Bazylak, J., McCahan, S., & Weiss, P. (2012). Effects of Lecture Capture on a Large First-Year Engineering Course. Proceedings: 2012 American Society of Engineering Education Conference and Exposition, San Page
3 πD Where K s is the stress concentration factor of the profile key seat under torsion; τ max is themaximum shear stress occurring at the middle of the longitudinal fillet surface on the bottom ofthe profile key seat; τ nom is the nominal maximum shear stress for a round shaft under torsion; Dis the normal diameter of the shaft and T is the torsion.Figure 1: Meshing information for a profile Figure 2: The Von Mises distribution of a key seat on a shaft with diameter 1 1/16” profile key seat under torsion Figure 3: The shear stress distributions on Figure 4: a) the first Principal stress and b
performance and retention. V. comparisons with traditionally-taught students. Journal of engineering education-Washington-. 1998;87:469-480.12. Kvam PH. The effect of active learning methods on student retention in engineering statistics. The American Statistician. 2000;54(2):136-140.13. Tener RK. Industry-university partnerships for construction engineering education. J Prof Issues Eng Educ Pract. 1996;122(4):156-162.14. Hu W, He A. Study on construction management learning system by computer simulation. . Page 23.1139.13 2012:507-510.15. Bhattacharjee S, Ghosh S, Young-Corbett DE, Fiori CM. Comparison of industry expectations and student
classrooms across theelementary grades.Bibliography1. National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC: The National Academies Press2. National Research Council (2006). Rising above the gathering storm: Energizing and employing America for a brighter economic future. Washington, DC: National Academies Press.3. National Research Council. (2009). Engineering in K–12 education: Understanding the status and improving the prospects. Washington, DC: National Academies Press.4. Roehrig, G. H., Moore, T. J., Wang, H.-H. and Park, M. S. (2012), Is Adding the E Enough? Investigating the Impact of K-12 Engineering Standards on the
Title: VectorsPivotal Concept: Vectors represent objects that have magnitude, direction, and satisfy linearityconditions.Multidisciplinary Theme(s):Representations - Representations enhance our understanding of a system’s structure, properties, Page 23.1347.8and function. Linearity - Many complex systems are modeled or approximated linearly because of themathematical advantages.Prerequisite Knowledge: Students should be familiar with vector algebra in two and threedimensions.Intended Learning Outcomes: After watching this video, students will be able to: • Understand the properties of vectors using displacement as an example, and
continue to explore the transformative potential ofAI, it is essential to maintain ongoing dialogue about its ethical implications and ensure that theseinnovations are leveraged to create equitable and impactful educational experiences for all.References[1] van der Zant, T., Kouw, M. & Schomaker, L., 2013, “Generative artificial intelligence”, pp. 107-120, Springer Berlin Heidelberg.[2] https://www.nvidia.com/en-us/glossary/generative-ai/, access in September, 2024.[3] Lyu, Y., Zhang, H., Niu, S. & Cai, J., 2024, A Preliminary Exploration of YouTubers' Use of Generative-AI in Content Creation”, arXiv preprint arXiv:2403.06039..[4] Reddy, S., 2024, “Generative AI in healthcare: an implementation science informed transla- tional
conduct the DACE process,employing sustainable building design software tools as computer models for the experiments. Inthis paper, we propose and illustrate the DACE process as a training framework for noviceresearchers who are brand new to research. The DACE process provides a general set of researchtools, consisting of four steps: (1) Calibration of the computer model(s) for the application ofinterest, (2) Design of experiments to organize a set of computer model input parameter settings,(3) Execution of the computer model(s) to generate performance metric outputs, (4) Analysis ofthe input and output data. For sustainable building design, the performance metric outputsrepresent dimensions related to the pillars of sustainability: people
T. K. K. B. Morgan, “Mechanisms by Which Indigenous Students Achieved a Sense of Belonging and Identity in Engineering Education,” presented at the 2017 ASEE Annual Conference & Exposition, Jun. 2017. Accessed: Aug. 26, 2021. [Online]. Available: https://peer.asee.org/mechanisms-by-which-indigenous-students-achieved-a-sense-of-b Elonging-and-identity-in-engineering-education[8] M. D. Johnson, A. E. Sprowles, K. R. Goldenberg, S. T. Margell, and L. Castellino, “Effect of a Place-Based Learning Community on Belonging, Persistence, and Equity Gaps for First-Year STEM Students,” Innov High Educ, vol. 45, no. 6, pp. 509–531, Dec. 2020, doi: 10.1007/s10755-020-09519-5.[9] T. L. Strayhorn
of network professionals.References[1] E. Lampi, “The Effectiveness of using Virtual Laboratories to Teach Computer NetworkingSkills in Zambia,” Ph.D dissertation, Career and Technical Education, Virginia PolytechnicInstitute and State University, Blacksburg, VA, USA, 2013. [Online]. Available:https://www.proquest.com/docview/1512636920[2] J. Allison, “Simulation-based learning via Cisco Packet Tracer to enhance the teaching ofcomputer networks,” Proceedings of the 27th ACM Conference on Innovation and Technology inComputer Science Education Vol. 1, Jul. 2022. doi:10.1145/3502718.3524739[3] S. Asadi, J. Allison, M. Khurana, and M. Nilashi, “Simulation-based learning for computerand networking teaching: A systematic literature review and
2014 report indicate thatneurodiverse individuals make up only around 3% of science and engineering doctoral degreerecipients [10].Graduate students face a unique set of challenges when compared to undergraduate students,with faculty advisors playing a large role in student success. Several studies have noted specificchallenges related to advisors, including work-life balance, which may be impacted by facultyexpectations, and hierarchical faculty-student relationships [11]-[13]. Satterfield et al.’s [14]literature review focused on the experiences of graduate students during their studies andexplored how individual factors (the influence of the student’s advisor), programmatic factors(isolation and teaching assistantships), and external
majored in Civil Engineering. He has served in a variety of assignments around the world to include Iraq, Kuwait, Germany, and Eastern Europe. LTC Biggerstaff served in the department from 2014-2016 and again from 2022 to present. Along the way, he earned Master’s degrees in Environmental Engineering (Missouri S&T), Management Science (Stanford University), and Civil Engineering (Stanford University) and a Ph.D. in Civil Engineering (Stanford University). He has taught a number of courses in C&ME ranging from structural engineering and steel design to thermal fluid systems. His research interests include topics in sustainable construction materials and systems, decision analysis, and engineering education. He
-Access-New-Wiley-Survey-Reports/default.asp x[9] A. Kessler, R. Likely, and J. M. Rosenberg, “Open for whom? The need to define open science for science education,” J. Res. Sci. Teach., Sep. 2021, doi: 10.1002/tea.21730.[10] S. Hanna, J. Pither, and M. Vis-Dunbar, “Implementation of an Open Science Instruction Program for Undergraduates,” vol. 3, no. 1, pp. 150–161, 2021, doi: 10.1162/dint_a_00086.[11] I. Steinhardt, “Learning Open Science by Doing Open Science. A Reflection of a Qualitative Research Project-Based Seminar.,” Educ. Inf., vol. 36, no. 3, pp. 263–279, Jan. 2020, doi: 10.3233/efi-190308.[12] K. S. Button, “Reboot undergraduate courses for reproducibility,” Nature, vol. 561, no. 7723, pp. 287–287, Sep. 2018, doi
relationshipwith your mentor (s)?” and “How has your participation in this program reinforced your identityas a Latina/o in Engineering?” Second interview responses informed and framed this study. Onaverage, interviews lasted 40 minutes. All interviews took place in the university facilities whenstudents were available. Researchers used consent forms to comply with the Institutional ReviewBoard (IRB) requirements. All interviews were recorded and transcribed; the transcriptions wereused for the analysis. Researchers used Dedoose, a qualitative tool to help in the data analysis.Researchers started with the unitization of data, that is, every piece of information that can beunderstood by itself is classified under a theme and then reclassified using
. Science (New York,N.Y.), 341(6153), 1455–1456. https://doi.org/10.1126/science.1240487Hora, M.T., Colston, J., Chen, Zhidong, Pasqualone, A. (2021). National Survey of CollegeInternships (NSCI) 2021 Report Insights into the prevalence, quality, and equitable access tointernships in higher education Summary findings from the pilot phase of the NSCI at 17 17colleges and universities. University of Wisconsin Center for Research on College-WorkforceTransitions.https://ccwt.wisc.edu/wp-content/uploads/2022/04/CCWT_NSCI-2021-Report.pdfHowell, L. P., Wahl, S., Ryan, J., Gandour-Edwards, R., & Green, R. (2019). Educational andCareer Development Outcomes
the guidance of an instructor(s), originated in medical sciences at McMaster university in33 Ontario, Canada, in 1965 [1, 2]. PBL and Experien al Immersive Learning (EIL) are o en used34 interchangeably. These pedagogical approaches are rooted in construc vism, an educa onal theory35 emphasizing the use of learners’ experiences and interac ons with the outside world to learn a subject36 [3, 4].37 In higher educa on, ac ve learning methods (e.g. PBL and EIL) may be u lized in lieu of or accompanying38 more passive, tradi onal educa on methods such as tradi onal lectures direc ng knowledge flow from39 the instructor to the learner [5, 6]. While the tradi onal lecture approach has evolved to be the40 predominant mode of instruc
Conference. Moreinformation and details related to themes and analyses may be found in that paper. This paper’smain focus was to collect and present case studies for engineering ethics instruction.ReferencesBairaktarova, D. and Woodcock, A. (2015). Engineering ethics education: Aligning practice and outcomes. IEEE Communications Magazine, 53(11), 18–22. doi:10.1109/MCOM.2015.7321965.Bielefeldt, A. (2022). Work in Progress: Personalizing Engineering Ethics through the Individual Stories of Engineers and People Impacted. In 2022 ASEE Annual Conference. Excellence Through Diversity. Paper ID#37519.Braun, V. and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.Brunhaver, S. R., Jesiek
,” ijli, vol. 2, no. 3, pp. 1–47, Jul. 2023, doi: 10.54855/ijli.23231.[8] M. Salvagno, F. S. Taccone, and A. G. Gerli, “Can artificial intelligence help for scientific writing?,” Crit Care, vol. 27, no. 1, p. 75, Feb. 2023, doi: 10.1186/s13054-023-04380-2.[9] F. A. Shah, “IS CHATGPT A SILVER BULLET FOR SCIENTIFIC MANUSCRIPT WRITING?,” JPMI, Mar. 2023, doi: 10.54079/jpmi.37.1.3219.[10] T. Day, “A Preliminary Investigation of Fake Peer-Reviewed Citations and References Generated by ChatGPT,” The Professional Geographer, vol. 75, no. 6, pp. 1024–1027, Nov. 2023, doi: 10.1080/00330124.2023.2190373.[11] F. Farhat, S. S. Sohail, and D. Ø. Madsen, “How trustworthy is ChatGPT? The case of bibliometric analyses,” Cogent Engineering
done well, all the answers were correct and what you needed to find was clear. ME for statics was also pretty clear. s. MC: Did not have a problem with it. MP: Hard to input values like it wanted it. ME: Graphs and some data entry are confusing. t. Used M for all 4 of my Physics classes plus my statics engineering class. Up to this class, I would give M a fair grade, but this experience I would rate M as unacceptable. 2. List some of the positive aspects of Mastering Engineering for Circuits this semester: a. Immediate feedback (that isn’t perfect) b. Continuous work Lengthy tutorials, need to summarize text
thestudents can interrogate to understand either the question(s) or the answers better.The important observation about millennial generation students is that all of the notedattributes should be respected, and that the education system should adjust to deliveringthese customer expectations at a high quality level. In this paper some tested pedagogical aswell as advanced educational technology methods and tools are discussed, anddemonstrated to satisfy the above requirements for both live and eLearning / distancelearning (DL) classes.The objective of our case-based multimedia research, that the author has started over 25 yearsago, was to create a case-based / problem-based teaching and learning curriculum for Millennialgeneration engineering and IT
, NY:Routledge, 2012.[2] The White House Office of Science and Technology Policy, “Equity and Excellence: A Visionto Transform and Enhance the U.S. STEMM Ecosystem,” The White House, 2022. [Online].Available: https://www.whitehouse.gov/ostp/news-updates/2022/12/12/equity-and-excellence-a-vision-to-transform-and-enhance-the-u-s-stemm-ecosystem/. [Accessed January 30, 2024].[3] The White House Office of Science and Technology Policy, “Progress Report on theImplementation of the Federal STEM Education Strategic Plan,” The White House, 2021.[Online]. Available: https://www.whitehouse.gov/wp-content/uploads/2022/01/2021-CoSTEM-Progress-Report-OSTP.pdf. [Accessed January 30, 2024].[4] Society of Women Engineers, “Global STEM Workforce,” Society of Women
. – chapter 6[4] ABET. (2021). Criteria for accrediting engineering programs. ABET website:https://www.abet.org/wp-content/uploads/2022/01/2022-23EAC-Criteria.pdf[5] Jonassen, D., J. Strobel, and C. B. Lee. 2006. “Everyday Problem Solving in Engineering:Lessons for Engineering Educators.” Journal of Engineering Education 95 (2): 139–151.doi:10.1002/j.2168-9830.2006.tb00885.x.[6] D. G. Rees Lewis, S. E. Carlson, C. K. Riesbeck, E. M. Gerber, and M. W. Easterday,“Encouraging engineering design teams to engage in expert iterative practices with tools tosupport coaching in problem‐based learning,” J of Engineering Edu, vol. 112, no. 4, pp.1012–1031, Oct. 2023, doi: 10.1002/jee.20554.[7] G. S. Stump, J. Husman, and M. Corby, “Engineering Students
producing this work.In addition, the authors would like to acknowledge the leadership and financial support of theSchool of Engineering of Universidad Andres Bello, Chile. We also thank the Educational andAcademic Innovation Unit (UNIDA) for mentoring and guidance in developing scientific articlesin higher education research.Finally, the authors would like to acknowledge the financial support of Writing Lab, Institute forthe Future of Education, Tecnologico de Monterrey, Mexico, in producing this work.References[1] F. Bonomi and M. S. Islas, "Being a student in a pandemic: experiences and problems at the Faculty of Exact and Natural Sciences of Mar del Plata," (in Spanish), Boletín SIED, vol. 2, no. 2, pp. 20–31, Dec. 2020. [Online
at a larger scale.Finally, the questions in the academic integrity theme aim to capture students' experiences andobservations on how these tools are used and framed in academic institutions. We aim toreplicate Zastidul [9] finding that students believe the amount of plagiarism will increase as AItools increase in popularity. We expand this work by capturing the context of the institutions andcourse policies around AI usage. Table 1: List of Survey Questions by theme Theme Questions Awareness and ● Do you currently use an AI product? Use of AI in Education ● What AI product(s) do you currently use? ● How much do you pay for the AI products you use
ofEngineering of Andrés Bello University. They also thank the Educational and Academic Unit(UNIDA) for its mentoring and guidance in developing scientific articles in higher educationresearch.References[1] S. Berres, L. Maldonado, P. Grassia, E. Ventura-Medina, and V. Magueijo, "Competencias necesarias en graduados de ingeniería según representantes de la industria regional Chilena", in XXIX UFRO 2016 - Formación de Capital Humano en Ingeniería en el contexto de una Sociedad Global, pp. 9, Temuco, Chile, 2016.[2] L. M. Pedraja-Rejas, E. R. Rodríguez-Ponce, C. J. Espinoza-Marchant, and C. P. Muñoz-Fritis, "Liderazgo y cultura en carreras de ingeniería: estudio en una universidad chilena", Formación Universitaria, vol