practice from ouranalysis: (a) authentic-task driven, (b) collaborative inquiry, (c) reflective-design process, (d) engineeringidentity. Future we will build on this study and develop some valid instruments to measure thesecharacteristics in order to clarify the relationship between community of practice and engineeringstudents’ learning effect.Keywords: community of practice; engineering learning; authentic-task driven; collaborative inquiry;reflective-design process; engineering identityINTRODUCTIONAs the largest developing economy in the world, China is facing a lot of challenges in terms of emergingindustries and new technologies. As a result, China is calling for increasing the quantity and quality ofengineering students to meet society’s
percent ofAfrican Americans in T/TT positions also “peaked” in 2017 at 3.1% and was 2.5% by 2020. Thepercentage of women faculty of all ethnicities have depicted a steady, albeit slight increase ofapproximately 0.5% each year. This data does not reflect the significant underrepresentation ofwomen of color [2]. However, promotion rates have not increased at the same pace. For instance,in Fall 2019, 13.3%, 1.9% and 3.6% of the full professors in engineering were women, AfricanAmerican and, Hispanic, respectively. As shown in Figure 1(b), the percentage of women fullprofessors in Fall 2020 had only increased by about 0.2%. Gumpertz et al. [3] found that womenengineering assistant professors left academia at a higher rate than their male
highest CV Coherence score. This optimization balances the complexity of the topicmodeling and the unique information retained in the topics. The CV coherence values corresponding tothe range of input number of topics for the three datasets are shown in Figure 1. (a) (b) (c) Figure 1: CV values by number of topics for (a) 2017-19, (b) Spring 2020, and (c) Spring 2021As shown in Figure 1 (a-c), the maximum CV Coherence value was observed for 5 topics for the 2017-19dataset (a), 10 topics for the 2020 dataset (b), and 14 topics for the 2021 dataset (c). The topics generatedfor each of the dataset along with their interpreted themes are presented in tables 1, 2, and 3
outreach and scientific communication that would likely haveremained otherwise unexplored. As with previous sections, additional recommendations forfuture engagement can be found in Section 5.Figure 3. MSE and Art Museum Collaboration:We engaged and implemented a unique hybrid community outreach program by selecting (a) sixitems in the University Museum of Modern Art's collection. We measured the digitalengagement via QR code accesses, web page views and average time spent per page. Aphotograph of (b) the exhibit for shakudō sword guards on display with the QR code for visitorsto scan with their smartphone. The linked (c) webpage detailing our Materials Science andEngineering perspective on the origins, processing and resulting properties of the
-Gamez, K., Portell, M., Velazquez, L., & Munoz-Osuna, F.(2019). Assessing college students’ risk perceptions of hazards in chemistry laboratories. Journal ofChemical Education, 96(10), 2120-2131.American Chemical Society (ACS) (2012). Creating Safety Cultures in Academic Institutions: A Reportof the Safety Culture Task Force of the ACS Committee on Chemical Safety.https://www.acs.org/content/dam/acsorg/about/governance/committees/chemicalsafety/academic-safety-culture-report.pdf . Accessed Feb 12, 2022.American Institute for Chemical Engineers (AIChE). (2020, February 20). Safety Culture: “What is atStake”. https://www.aiche.org/ccps/safety-culture-what-stake. Accessed Feb 12, 2022.Armstrong, B. M. (2019). Assessing graduate student
Paper ID #38375Promoting pedagogical change around writing: Observationsof discursive turbulenceRyan WareMegan Elizabeth Mericle Megan Mericle is a PhD student in Writing Studies at the University of Illinois Urbana-Champaign. Her research focuses on the construction of expertise and citizenship in literate activity surrounding citizen science. She is an Assistant Director for the Center for Writing Studies and a member of the research team Writing Across Engineering and Science (WAES) where she is conducting research on graduate student experiences in a STEM writing course.Paul Prior Paul Prior is a
because you were excited about the research 4.7 Interact with scientists from outside your school 4.8 Feel a part of a scientific community A B Thinking and Working Like a Scientist Personal Gains 5 5 4 4 3 3 2 2 1
, even thosewith limited resources and/or working in more remote environments, will be able to incorporateit as part of their course curriculum. For students interested in the biomedical applications ofengineering, our courses will offer them a means to consider future professional opportunities inSTEM that can have an impact on healthcare and wider society.ReferencesFreeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the national academy of sciences, 111(23), 8410-8415.Paschal, C. B. (2003). The need for effective biomedical imaging education. IEEE engineering in
performedfor each identity vector across the pre-intervention survey responses from these nine schoolsshowed no significant differences in either Competence or Interest, but did show differences inthe other vectors, with schools D and I scoring significantly higher on Self-recognition andschools E and F scoring significantly lower on Recognition by others.Table 3. Demographic Information for Schools Analyzed % Free & % School Student/Teacher Locale Reduced Lunch URM Size Ratio School A Town 58.8 24.00 541 14.62 School B Rural 48.3 31.78 793 14.42 School
-578, 2019.[6] T. M. Evans, L. Bira, J. Beltran-Gastelum, L. T. Weiss, and N. L. Vanderford, Evidence for a mental health crisis in graduate education, The FASEB Journal, vol. 36, pp. 282- 284, 2018.[7] A. R. Wasil, M. E. Taylor, R. E. Franzen, J. S. Steinberg, and R. J. DeRubeis, Promoting graduate student mental health during COVID-19: Acceptability, feasibility, and perceived utility of an online single-session intervention. Frontiers in Psychology, vol. 12, pp. 1-12, 2021.[8] B. A. Burt, Toward a theory of engineering professional intentions: The role of research group experiences, American Education Research Journal, vol. 56, ed. 2, pp. 289-332, 2019.[9] B. N. Böke, D. J. Mills, J
, “Fostering entrepreneurship while teaching design,” ASEE Annu. Conf. Expo. Conf. Proc., 2010.[3] J. Stengel, S.S. Jerpoth, and K.M. Yenkie, "Integrating design thinking in chemical engineering coursework for enhanced student learning," ASEE Annu. Conf. Proc., no. 33322, 2021.[4] A. Jackson, C.A. Bodnar, S. Streiner, K. Dahm, K. Mallouk, and B. Oestreich, "Application of entrepreneurial minded learning design projects to develop first-year engineering students' entrepreneurial mindset," Int. J. Eng. Educ., vol. 38, no. 1, pp. 237-252, 2022.[5] A. J. Marchese, J. L. Schmalzel, S. A. Mandayam, and J. C. Chen, “A venture capital fund for undergraduate engineering students at Rowan University,” J. Eng. Educ., vol. 90, no. 4, pp. 589–596
core of the data scienceexperience.” The Park City Report further include an outline of the Data Science Major:1. Introduction to data Science a. Introduction to Data Science I b. Introduction to Data Science II2. Mathematical foundations a. Mathematics for Data Science I b. Mathematics for Data Science II3. Computational thinking a. Algorithms and Software Foundations b. Data Curation—Databases and Data Management4. Statistical thinking a. Introduction to Statistical Models b. Statistical and Machine Learning5. Course in an outside disciplineAmerican Statistical Association adopted the curriculum outline in the Park City Report in 2017 [7]. In
and develop their project proposals. In its current form as a spreadsheet, this rubric is not practical for large groups of participants. Conversion into a rubric for use in a Learning Management System like Moodle or Canvas1 is under development. 2. The ESJ Questionnaire (Appendix B), derived from the rubric, with a mixture of quantitative Likert-scale questions and open responses for comments. Here, our initial assumption is that researchers use it to assess their own projects, or for peer evaluations of projects. 3. The ESJ Canvas Sheet (Appendix C), consistent with the rubric to capture essential ESJ aspects for a project on a single page. This tool looks suitable for initial group
Paper ID #36888Coping Landscapes: How graduate engineering students’coping mechanisms correspond with dominant stressors ingraduate schoolGabriella M Sallai Gabriella Sallai is a PhD candidate in the Department of Mechanical Engineering at The Pennsylvania State University. Her work characterizes engineering graduate students’ experiences within graduate school. Gaby earned a Bachelor’s degree in Physics and Women & Gender Studies from Franklin & Marshall College. She was a co-chair of the Diversity, Equity, and Inclusion Committee for the Graduate Women in Science Penn State chapter and is the vice
measures, there seemed to be some high correlations in themeasures. However, once the covariates were broken down into their respective dummy variables,we saw that these higher correlations (i.e., above 0.4) were mostly present in response 6, orstrongly agree (correlation tables Appendix B). Given this, we chose to keep the covariates as isand move forward with the models.Models 1, 2, and 3 had outcomes of interests that were interval measures (i.e., anxiety, depression,and flourishing scores). As a result, ordinary least squares regression (i.e., multiple linearregression) models were estimated to understand the difference between the covariates and therespective outcomes of interest for each model. For each categorical covariate or
), thus allowing students to visualize components within the machine in a realisticcontext. Figure 1. Comparing two methods to display the inner components of the SEM, a) a 2D traditional cross section and b) a 3D rendering with the outer casing transparent. The 3D rendering allows for a deeper spatial understanding compared to 2-dimensional diagrams.Users are given a unique physical image, similar to a QR code, to serve as the image target (oranchor) which the AR engine recognizes to place virtual objects in the correct context. Bycalculating the real-time position and orientation of the image target, the engine superimposesa virtual 3D model of the SEM onto the image target on the screen.The learning restrictions imposed by
Engineering: 2019” available: https://doi.org/NSF 19-304[2] National Academies of Sciences Engineering and Medicine. “Graduate STEM Education for the 21st Century”, 2019 available: https://doi.org/10.17226/25038[3] B. Yoder, “Engineering by the Numbers,” Am. Soc. Eng. Educ., pp. 13–49, 2018.[4] M. Bahnson, D. Satterfield, M. Wyer, & A. Kirn, “Interacting with Ruling Relations: Engineering Graduae Students Experiences of Discrimination and Bias,” Stu. In Eng. Edu. [in review][5] B. A. Burt, K. L. Williams, and W. A. Smith, “Into the Storm: Ecological and Sociological Impediments to Black Males’ Persistence in Engineering Graduate Programs,” Am. Educ. Res. J., vol. 55, no. 5, pp. 965–1006, 2018.[6
Annual Conference & Exposition, Louisville, KY, Paper No. AC 2010-925 7ASEE 2022 Paper, Minneapolis, MN, June 22, 2022 (Submission 22; April 10, 2022)[4] C. Carroll, S. A. Sell, and M. B. Sabick, “Introduction to Entrepreneurial-minded Learningfor Faculty of Foundational STEM Courses Using the KEEN Framework”, 2019 ASEE AnnualConference & Exposition, Louisville, KY, Paper #18279[5] https://engineeringunleashed.com/card/618AppendixIn this appendix, the tasks of each module are briefly introduced and student video samples areused to illustrate how each module works in the following sections.Module 1 Tasks: Atomic structure of engineering
. Norris, N. Blalock, D. P. Mountain and C. J. Faber, “Exploring the TeamDynamics of Undergraduate Engineering Virtual Teams During the Rapid Transition Online Dueto COVID-19,” in ASEE Virtual Annual Conference, 2021. Available: https://peer.asee.org/37163[2] S. Thite, J. Ravishankar, A. M. Ortiz and E. Ambikairajah, “Work in Progress: Review ofTeaching Strategies Towards Development of a Framework for Online Teamwork,” in ASEEVirtual Annual Conference, 2021. Available: https://peer.asee.org/38194[3] B. W. Tuckman, “Developmental sequence in small groups,” Psychological bulletin, vol. 63,no. 6, pp. 384, 1965.[4] S. Raue, S.H. Tang, C. Weiland and C. Wenzlik, “The GRPI Model - An Approach for TeamDevelopment,” White Paper Draft, SE Group, 2013.[5
,” ChemicalEngineering Education, Vol. 53, No. 1, pp. 1 – 9, Winter, 2019.6 J. R. Reisel, Principles of Engineering Thermodynamics, 1st Edition, Boston, MA, USA:Cengage Learning, 2016.7 M.J. Moran, H. N. Shapiro, D. D. Boettner and M. B. Bailey, Fundamentals of EngineeringThermodynamics, 8th Edition, New York, NY, USA: Wiley, 2014.8 W. Yeadon and M. Quinn, “Thermodynamics Education for Energy Transformation: a StirlingEngine Experiment,” Physics Education, Vol. 56, pp. 055033, 2021.9 N. Mulop, K. M. Yusof, and Z. Tasir, “A Review on Enhancing the Teaching and Learning ofThermodynamics,” Procidia Social and Behavioral Sciences, Vol. 56, pp. 703-712, 2012.10 J. P. Abulencia, M. A. Vigeant and D. L. Silverstein, “Using Video Media to EnhanceConceptual Learning in
.), 6, 375. 5. Espay, A.J., Lang, A.E., Erro, R., Merola, A., Fasano, A., Berardelli, A. and Bhatia, K.P. (2017), Essential pitfalls in “essential” tremor. Mov Disord., 32: 325-331. https://doi.org/10.1002/mds.26919 6. Grimes, D. (2003). Tremor - Easily Seen but Difficult to Describe and Treat. Canadian Journal of Neurological Sciences / Journal Canadien Des Sciences Neurologiques, 30(S1), S59-S63. doi:10.1017/S0317167100003255 7. Gunasekaran , B. (2021, September 11). IMU Sensors: Everything You Need To Know! Embedded Inventor. Retrieved December 9, 2021, from https://embeddedinventor.com/what-is-an-imu-sensor-a-complete-guide-for-beginners/. 8. Olanow C, & Klein C, & Obeso J.A. (2018). Tremor
,” MIS Quarterly, 13(3), 319-340.[2]V. Vankatesh, and F. Davis, (2000). ”A Theoretical Extension of the Technology AcceptanceModel: Four longitudinal field studies,” Management Science, 46(2), 186.[3] J. Case, and G. Light, (2014). Framing Qualitative Methods in Engineering EducationResearch. In A. Johri and B. Olds (Eds.), Cambridge Handbook of Engineering EducationResearch (pp. 535-550). Cambridge: Cambridge University Press.doi:10.1017/CBO9781139013451.034.[4] Vedel, J. Ramaprasad, and L. Lapointe, “Social Media Strategies for Health Promotion byNonprofit Organizations: Multiple Case Study Design,” J Med Internet Res, vol. 22, no. 4, p.e15586, Apr. 2020, doi: 10.2196/15586.[5] M. Jarvie-Eggart, A. Owusu-Ansah, and S. L. Stockero, “Factors
factors, resources, context and situation – which refers to the myriad of environmental and contextual factors that impact the relationships between developing internal thriving competencies and achieving external thriving outcomes;Table 1 describes the specific elements of each of these three aspects of the model.Table 1. Summary of dimensions of the engineering thriving model based on consensus from experts Model Dimension Areas (1) Internal a. Behavioral – actions and habits deployed in response to situations or stimuli thriving b. Cognitive – thinking, reasoning, knowledge transfer, and associated mental competencies processes c. Intrapersonal – relationship with
body of knowledge (PMBOK®)," Computers & Education, vol. 52, no. 1, pp. 210-219, 2009. [3] R. Buchal and E. Songsore, "USING MICROSOFT TEAMS TO SUPPORT COLLABORATIVE KNOWLEDGE BUILDING IN THE CONTEXT OF SUSTAINABILITY ASSESSMENT," in Canadian Engineering Education Association (CEAA), 2019. [4] B. Rosen, S. Furst-Holloway and R. Blackburn, "Training for virtual teams: An investigation of current practices and future needs," Human Resource Management, vol. 45, pp. 229-247, 2006. [5] J. Lumseyfai, T. Holzer, P. Blassner and B. A. Olson, "Best Practices Framework for Enabling High-Performing Virtual Engineering Teams," IEEE
Poly Pomona.References[1] Bhandari, S., Aliyazicioglu, Z., Tang, F., and Raheja, A., “Research Experience for Undergraduates in UAV Technologies,” Proceedings of American Society of Engineering Education Annual Conference, Salt Lake City, UT, 25-28 June 2018. [2] Bhandari, S., Aliyazicioglu, Z., Tang, F., Raheja, A., and DeJonghe, E., “REU Site in UAV Technologies: Assessment of the Program after the Second Year,” Proceedings of American Society of Engineering Education Annual Conference, Tampa, FL, 16-19 June 2019.[3] Moffatt, A., Platt, E., Mondragon, B., Kwok, A., Uryeu, D., and Bhandari, S., "Obstacle Detection and Avoidance System for Small UAVs using a LiDAR
advisors teach?” NACADA Journal, vol. 25, no. 2, pp. 65–73, 2005.[4] B. B. Crookston, “A developmental view of academic advising as teaching,” NACADA Journal, vol. 14, no. 2, pp. 5–9, 1994.[5] D.G. Creamer and E.G. Creamer, “Practicing developmental advising: theoretical contexts and functional applications,” NACADA Journal, vol. 14, no. 2, pp. 17–24, 1994.[6] K. C. Davis, “Examining the efficacy of exam wrappers in a computer science course” Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://216.185.13.174/37120, July 2021.[7] C. Napier, “Thinking about thinking: the relationship between confidence, attainment and metacognition in computer science
in a number of K-20 educational initiatives designed to increase and broaden participation in STEM fields.Carissa B. Schutzman (Senior Research Associate)Keren Mabisi © American Society for Engineering Education, 2022 Powered by www.slayte.com Description, assessment, and outcomes of three National Science Foundation Research Traineeship (NRT) components: transferable skills course, interdisciplinary research proposal and project, and multidisciplinary symposium1. IntroductionThe University of Kentucky (UK) NRT aims to enhance graduate education by integratingresearch and professional skill development within a diverse
international study abroad rates forbusiness students. Academy of Educational Leadership Journal, 18(3), 77-86.Institute of International Education. (2020). “Profile of U.S. Study Abroad Students, 2000/01-2018-19.” Open Doors Report on International Education Exchange. Retrieved fromhttps://www.opendoorsdata.org 12Hanstedt, Paul. Creating Wicked Students: Designing Courses for a Complex World. StylusPublishing, 2018.De Castro, A. B., Dyba, N., Cortez, E. D., & Genecar, G. (2019). Collaborative onlineinternational learning to prepare students for multicultural work environments. Nurseeducator, 44(4), E1-E5.Stablein, M. J., Gonzalez-Crus, J., Talbot, J
Using Video and Heart Rate Data,” Technology, Knowledge and Learning, vol. 27, pp. 385–404, 2022.[8] S. V. Franklin, E. Hane, M. B. Kustusch, C. B. Ptak, and E. C. Sayre, J. Schol. Teach. Learn. (submitted).[9] Y. Cao, A. Mari, P. P. A. Ouimet, A. N. Thompson, and J. R. Sermon, “Emergent explicit group regulation in small group scientific activities,” in 2019 Physics Education Research Conference Proceedings, Provo, UT, 2019.[10] C. S. Dweck, Mindset: The New Psychology of Success, Random House Digital, Inc., 2018.[11] C. S. Dweck, “Revisits The Growth Mindset,” Education Week, vol. 35, no. 5, pp. 20-24, 2015.
included the park location, inspection code (i.e., name of the asset),description of the asset condition, and pictures of the asset. (a) (b) (c)Figure 2. ArcGIS software used to record asset data. (a) Satellite map view. (b) Asset locationdetails. (c) Data entry screen.Figure 3 shows two examples of park assets, namely a walkway bridge and a wall, that thestudents evaluated during their park site visits. Students reported that the bridge was sufferingfrom decayed wood in some areas of the walkway, which posed a safety concern. Studentsfurther noted that the wall structure showed signs of erosion and possibly corrosion form theunderlying metal structure. In other cases, students