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, 2016.[3] International Data Science in Schools Project, “Draft Curriculum Framework: Abbreviated Topics List.” [online] available: http://www.idssp.org/files/IDSSP DraftFramework AbbreviatedLists.pdf, [accessed: 6/29/19].[4] J.M. Wing, V.P. Janeja, T. Kloefkorn, and L.C. Erickson, “Data Science Leadership Summit: Summary Report, National Science Foundation Technical Report, 2018.[5] “Data Science Ethics Resources,” curated by Prof. Casey Fiesler at Colorado University [online] available: https://tinyurl.com/ethics-courses, [accessed: 6/29/19].[6] The National Academies of Science/Engineering/Medicine, Envisioning the Data Science Discipline: The Undergraduate Perspective: Interim Report, 2017.[7] S. Matei, J
] "Inclusion," Merriam Webster Dictionary Online, [Online]. Available: https://www.merriam- webster.com/dictionary/inclusion. [Accessed February 2019].[7] B. Beigpourian, D. M. Ferguson, F. C. Berry, M. W. Ohland and S. Wei, "Using CATME to DOcument and Improve the Effectiveness of Teamwork in Capstone Courses," in Proceedings of the 2019 ASEE Annual Conference and Exposition, Tampa, Florida, 2019.[8] E. L. Allen, "ABET Ad Hoc Committee for Diversity and Inclusion Stakeholder Listening Session," in 2017 ABET Symposium.Evaluation Survey Questions Table 9: CATME follow-up questions CATME Follow-up Questions TA: Task Attentiveness Being
reduced, allowing for more detailed and interesting findings.3.2.5 Tests for AssumptionsIn order to understand the validity of our data set and the subsequent analysis, a few assumptionsmust first be tested which the factorial ANOVA takes into account. The assumption of normalitywas tested via examination of the residuals. Review of the Shapiro–Wilk (S-W) test fornormality and skewness and kurtosis statistics suggest whether or not normality was a reasonableassumption. The boxplot of the residuals is analyzed for a relatively normal distributional shape.The Q–Q plot and histogram are also examined for normality. The assumption of homogeneityof variance (homoscedasticity) is tested by conducting Levene’s test.Random assignment of individuals to
federally funded projects. Dr. Sydlik’s interests are in supporting efforts to improve the educational experiences and outcomes of undergraduate and graduate STEM students. She is or has been the lead external evaluator for a number of STEM and NSF-funded projects, including an ERC education project, an NSF TUES III, a WIDER project, an NSF EEC project through WGBH Boston, two NSF RET projects, an S-STEM project, a CPATH project, and a CCLI Phase II project. She also currently serves as the internal evaluator for WMU’s Howard Hughes Medical project, and has contributed to other current and completed evaluations of NSF-funded projects.Dr. Allison Godwin, Purdue University at West Lafayette Allison Godwin, Ph.D. is
Mechanical Component Design Course,” 2014 ASEE Annual Conference and Exposition, Indianapolis, June 15-18, Indiana.[8] Reffeor, W. S., “Using FEA as a Pedagogical Tool for Teaching Machine Component Design,” 2018 ASEE Annual Conference and Exposition, June 24-27, Salt Lake City, Utah.[9] Ryan, R., “Use of A Finite Element Stress Analysis Program To Enhance Learning In A Machine Design Course,” 2004 ASEE Annual Conference and Exposition, June 20-23, Salt Lake City, Utah.[10] Le, X., & Moazed, A. R., & Duva, A. W. (2016, June), The Design Projects for the Simulation-Based Design Course Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26118[11] Le, X, Richard L. Roberts
, R.W., Sheu, H.B., Singley, D., Schmidt, J.A., Schmidt, L.C. and Gloster, C.S. "Longitudinal Relations of Self-Efficacy to Outcome Expectations, Interests, and Major Choice Goals in Engineering Students," Journal of Vocational Behavior, 73(2), 328-335 (2008)[22] Van Soom, C. and Donche, V. "Profiling First-Year Students in STEM Programs Based on Autonomous Motivation and Academic Self-Concept and Relationship with Academic Achievement," PloS One, 9(11), e112489 (2014)[23] Hutchison, M.A., Follman, D.K., Sumpter, M. and Bodner, G.M. "Factors Influencing the Self‐Efficacy Beliefs of First‐Year Engineering Students," Journal of Engineering Education, 95(1), 39-47 (2006)[24] Brown, S.D., Tramayne, S., Hoxha, D., Telander, K
exercise challenges student to consider what error(s)and considerations must be made to appropriately calibrate and characterize and instrumentwithout a step-by-step lab handout.4 - Strain Measurement, Signal Conversion, & Quantization ErrorsA strain gage is carefully mounted by students to an aluminum beam using a manufacturer’sinstallation and data sheet. With the gage affixed, the beam is mounted in a cantilever fashionafter which a series of weights are suspended to it in a sequential test. The resistance of the straingage is measured for each series of weights. Next, a Wheatstone bridge is constructed in a ¼bridge configuration. A series of weights are suspended again in a sequential test after which thebridge output voltage is measured
Research Center. January 31. Retrieved from http://www.pewresearch.org/fact- tank/2018/01/31/more-adults-now-share-their-living-space-driven-in-part-by-parents-living-with-their-adult- children/[2] Dimock, M. (2019). Defining Generations: Where Millennials End and Generation Z Begins. Pew Research Center. January 17, 2019.[3] Smith, C., Turner, S. (2016). The Radical Transformation of Diversity and Inclusion: The Millennial Influence. Deloitte University, The Leadership Center for Inclusion. Downloaded from https://www2.deloitte.com/us/en/pages/about-deloitte/articles/radical-transformation-of-diversity-and- inclusion.html.[4] Keathley, J., Merrill, P., Owens, T., & Meggarrey, I. (2013). “The Executive Guide to Innovation
value proposition driven by: 1. Strong partnerships with key strategic suppliers 2. Accelerated new product introductions (NPI) 3. High efficiency supply chain processesTo support and use supplier alliances in new solutions, Maximus is considering developing aTechnical Marketplace. Their suppliers allow them to sell products via the MAXIMUS platformbecause they invest in their employees’ qualifications specific to the supplier’s technicalofferings (e.g. ensuring employees are trained by for the distribution andsales of certain key ’s products). This enables MAXIMUS to sell theseproducts in their Marketplace. These training processes could be multiplied out through manyother manufacturers in Germany with technically demanding products
. Hendricks, A.C. Taylor, and S. Pulford, “Implementation of peer review to enhance written and visual communication learning in bioengineering capstone reports,” Proceedings of the ASEE Annual Conference & Exposition, pp. 13992–14018, June 2017.[7] N. Duarte, “Slidedocs,” Duarte: Ignite Your Ideas, April 2020. [Online]. Available: duarte.com/slidedocs/[8] Kaliya, “Unconference methods: Speed geeking,” Unconference.net: Like a Conference, Only Better, July 2006. [Online]. Available: http://unconference.net/unconference-methods- speed-geeking/Appendix A: Sample Peer Sharing Presentation Topics Round 1: Life Management Balanced Diet and Importance of Nutrition Strategies Effective Communication
, Technical Report 110(1-12), pp. 24, 2004.[17] K. Millard and M. Richardson, “On the importance of training data sample selection in random forest image classification: A case study in peatland ecosystem mapping,” in Remote Sensing, vol. 7(7), pp. 8489-8515, 2015.[18] L. Breiman, “Random forests,” in Machine learning, vol. 45(1), pp. 5-32, 2001.[19] S. Chakrabarti, E. Cox, E. Frank, R. H. Güting, J. Han, X. Jiang, ... and D. PyleD. (2008). Data mining: know it all. Morgan Kaufmann.
of programming may each be most relevant for different types of careers,but BME programs generally do not know what careers their students will have, and with acrowded curriculum, choices have to be made about what type of computing course(s) to require.In some cases this decision is made for all programs by the engineering school, but more than60% of universities give BME the responsibility of deciding on fundamental programmingcourses, and additional applications courses are at the discretion of the department. The data may be useful in several ways. They show a diversity of approaches, withMATLAB, CAD, and modeling being the most prevalent courses. In general, they allow aprogram to judge whether it is in the mainstream of BME
Autonomous People Mover Alex Avery, Joe Hudden, David Ruan, Eric Schulken, Cody Smith, Jessica VanGiesen, Michael Zielinski, Ray Ptucha Rochester Institute of Technology, Rochester, NY, USA of majors work in groups to complete projects over the course ABSTRACT of two semesters. The class structure dictates that the firstMost automobile forecasters predict that by the mid-2020’s semester be devoted to design, research, and planning, whileautonomous driving will transform the automobile market. the second semester is to be
for engineering: charting changes in student aspirations and motivation,” Euro. J. Engr. Educ., vol. 33, n. 5-6, pp. 573-585, 2008.[2] D. Bennett, R. Kapoor, K. Rajinder, and N. Maynard, “First year engineering students: Perceptions of engineers and engineering work amongst domestic and international students,” Intl. J. First-Year in Higher Educ., vol. 6, no. 1, pp.89-105, March 2015[3] A.R. Bielefeldt and N.E. Canney, “Humanitarian Aspirations of Engineering Students: Differences between Disciplines and Institutions,” J. Humanitarian Engineering, vol. 4, no. 1, pp. 8-17, 2016[4] M. Cavalli, L. Stanlake, and S. Tolbert, “Investigation of Retention and Perceptions among Freshman Engineering Students
cognitive revolution on science learning and teaching,” The Impact of the Cognitive Revolution on Educational Psychology. Information Age Publishing, Greenwich, CT., pp. 119–164, 2005.[9] H. L. Dreyfus and S. E. Dreyfus, “Five steps from novice to expert,” Mind over machine: The power of human intuition and expertise in the era of the computer. pp. 16–51, 1986.
, and Brownell, Sara E, “Buildingbetter bridges into stem: A synthesis of 25 years of literature on stem summer bridgeprograms,” CBE Life Sciences Education, vol. 16, no. 4, p. es3, 1/12/2017.[9] Tomasko, David L, Ridgway, Judith S, Waller, Rocquel J, and Olesik, Susan V, “Researchand Teaching: Association of Summer Bridge Program Outcomes with STEM Retention ofTargeted Demographic Groups,” Journal of College Science Teaching, vol. 45, no. 4, 3/2016.[10] B. Nemelka, J. Askeroth, and J. Harbor, “Summer Start: Supporting Success forConditionally Admitted Students in a Summer Bridge Program,” Summer Academe: A Journal ofHigher Education, vol. 11, pp. 1–13, Feb. 2018.[11] J. L. Taylor and T. Harmon, “Bridge Programs in Illinois: Results of the 2010
. Haas, "Deconstruction programming for adaptive reuse ofbuildings," Autom. Constr., vol. 107, pp. 102921, 2019. DOI:https://doi.org/10.1016/j.autcon.2019.102921.[13] US General Services Administration (GSA), "BIM Guide Overview," 2007.[14] W. Wu and R. R. A. Issa, "An integrated green BIM process model (IGBPM) for BIMexecution planning in green building projects," in Building Information Modeling: Applicationsand Practices, R. R. A. Issa and S. Olbina, Eds. Reston, Virginia, USA: American Society ofCivil Engineers (ASCE), 2015, pp. 135.[15] V. J. L. Gan et al, "Holistic BIM framework for sustainable low carbon design of high-risebuildings," Journal of Cleaner Production, vol. 195, pp. 1091-1104, 2018. DOI: https://doi-org.proxy.lib.uwaterloo.ca
Teacher, vol. 70, (5), pp. 21-29, 2011.[2] J. Morgan, W. Zhan and M. Leonard, “K-12 Project Management Education: NASA Hunch Projects,” American Journal of Engineering Education, vol. 4, (2), pp. 105-118, 2013.[3] T. Moore, A. Glancy, K. Tank, J. Kersten, K. Smith and M. Stohlmann, “A Framework for Quality K-12 Engineering Education: Research and Development,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 4, (1), no pagination, 2014.[4] S. Y. Yoon, M. G. Evans and J. Strobel, “Validation of the Teaching Engineering self efficacy Scale for K-12 Teachers: A Structural Equation Modeling Approach,” Journal of Engineering Education, vol. 103, (3), pp. 463-485, 2014.[5] K. Hayden, Y
Recreational Mathematics.Mineola, N.Y.: Dover Publications, 2000.[9] K. Azad, Math, Better Explained, 2014.[10] O. E. Fernandez, Everyday Calculus: Discovering the Hidden Math All around Us.Princeton: Princeton UP, 2014.[11] T. Apostol, A Visual Approach to Calculus Problems, Engineering & Science, no. 3, 2000www.mamikon.com/VisualCalc.pdf[12] www.mamikon.com[13] D. Raviv, “Have you seen an integral? Visual, intuitive and relevant explanations of basicengineering-related mathematical concepts,” ASEE National Conference, Salt Lake City, UT,June 2018.[14] L. Edelstein-Keshet, Differential Calculus for the Life Sciences, 2018In: http://www.math.ubc.ca/~keshet/OpenBook.pdf[15] H. Kojima and S. Togami, The Manga Guide to Calculus, No Starch Press, 2009
5. Students have access to external expertise and critique3.2 Course objectivesThe course has been designed to meet several specific educational objectives. Among others, bythe end of this course, students should demonstrate their ability to • Research, develop, analyze, and apply knowledge from across disciplines to formulate and recommend solutions to open-ended problems under time and budgeting constraints. • Understand, analyze, and evaluate issues of relevance to the project—and identify specific and diversified audiences to incorporate their perspectives and needs surrounding the issue(s). • Define measurable, realistic, deadline-specific objectives that are appropriate to the project/problem
introduction of SAP into engineeringtechnology courses, we are helping to provide industry-ready employees. References1. Hepner, M., & Dickson, W. (2013). The value of ERP curriculum integration: Perspectives from the research. Journal of Information Systems Education, 24(4), 309-326.2. Kohers, G. (2015). SAP and the introductory management information systems course. Academy of Educational Leadership Journal, 19(1), 65-70.3. Bandara, W., Chand, D.R., Chircu, A.M., Hintringer, S., Karagiannis, D., Recker, J., van Rensburg, A., Usoff, C., & Welke, R.J. (2010a). Business process management education in academia: Status, challenges, and recommendations. Communications of the Association for
-13-2018.pdf9. URL: https://www.abet.org/10. URL: https://www.abet.org/wp-content/uploads/2019/04/FAQs-for-EAC-C3-C5-4-8-2019.pdf.AMIR KARIMIAmir Karimi, University of Texas, San Antonio Amir Karimi is a Profess or of Mechanical Engineering at TheUniversity of Texas at San Antonio (UTSA). He received his Ph.D. degree in Mechanical Engineering from theUniversity of Kentucky in 1982. His teaching and research interests are in thermal sciences. He h as s erv ed as t h eChair of Mechanical Engineering (1987 to 1992 and September 1998 to January of 2003), College of En g in eerin gAssociate Dean of Academic Affairs (Jan. 2003-April 2006), and the Associate Dean o f Un d ergraduate St u dies(April 2006-September 2013). Dr. Karimi is a Fellow of
the 1990’s, there was anational effort to develop programs to involve faculty to train them to use more varied teachingmethods [9]. Previous faculty development programs include SUCCEED and ECSEL Coalitions[10], FOUNDATION Coalition [11], and GATEWAY Coalition [9]. These entities work todevelop and execute professional development programs for faculty to train them in diverse andmodern teaching approaches.One type of program that has shown positive progress is based upon summer workshops orinstitutes for faculty devoted to teaching practices. One example is the National AcademiesSummer Institutes (SIs) [12, 13]. Beginning as a biology summer institute, this program has beenoperating since 2004. The SIs are intensive multi-day workshops were
physics course including pass rate and averagegrade. Also, a more formal survey will be administered to students and faculty to determine thesatisfaction level with the new course and areas for improvement. A subsequent paper will besubmitted to a future conference to discuss these results as they are generated.References[1] Laugerman, M., Shelley, M., Rover, D., & Mickelson, S., “Estimating survival ratesin engineering for community college transfer students using grades in calculus and physics,”International Journal of Education in Mathematics, Science and Technology, 3(4), 313-321,2015.[2] Bichof, G., Rubesa, D., “Correlation between engineering students’ performance inmathematics and academic success,“ 2015 American Society for
former systems engineer at Hughes Aircraft, Space and Communications Group inthe 1990s working on satellite attitude dynamics and control systems, it seems that this projectdoes a pretty good job of replicating the issues involved in such an industrial setting, and as aresult, is preparing these students for success in both subsystem and systems engineering roles.BIBLIOGRAPHY1. Halsmer, D. M., Voth, J. A., McCain, C. A., Reutter, J. D., Frailey, N. S., Samuelson, M., &Ahrens, D. (2018, June), Development of a Virtual Reality Flight Simulator to Assist in theDesign of Original Aircraft Paper presented at 2018 ASEE Annual Conference & Exposition ,Salt Lake City, Utah. https://peer.asee.org/30326.2. J. Abbitt, B. Carroll, R. Fearn, & R
becausethe arrow of time is not apparent at the micro level. Figure 18 shows molecules under amicroscope at two different times (left and right). It is impossible to tell which image camebefore the other. Figure 18: Molecules under a microscope at two different times 2. Boltzmann’s Entropy Equation Boltzmann developed an equation for calculating the entropy of an ideal gas. Thisequation is a probability equation and is significant in the field of statistical mechanics. Theequation is: 𝑆 = 𝑘𝑏 𝑙𝑛(𝑊)where S is the entropy of the system, W is the number of different ways in which the moleculescan be arranged, and kb is the Boltzmann constant. Simply put, Boltzmann’s entropy