are brieflydiscussed for the benefit of the CE students. The textbook used also has FE style practicequestions for students to review if desired.This is not to say that teaching the theory behind concepts such as equivalency or return oninvestment is not essential or done in the course. Engineers must be taught to go beyond the“calculations” and they must be able to draw conclusions that help business owners make goodeconomic decisions. This requires that they can answer such questions as, “What does that IRRmean to my business?” We place a strong emphasis on drawing conclusions and making adecision…not just providing a number for NPV or IRR or a B/C ratio. This is what engineersdo…solve problems and make decisions… so a solid understanding
Paper ID #34739Deep Learning at a Distance: Remotely Working to Surveil SharksGrace Nolan, California Polytechnic State University, San Luis Obispo Grace is a third year Computer Science student and Undergraduate Researcher at Cal Poly SLO. Her experience and areas of interest are in artificial intelligence and UI/UX design.Prof. Franz J. Kurfess, California Polytechnic State University, San Luis Obispo Franz J. Kurfess is a professor in the Computer Science and Software Engineering Department, California Polytechnic State University, San Luis Obispo, where he teaches mostly courses in Artificial Intelligence, Human
Conference and Exposition, 2013.[12] H. B. Carlone and A. Johnson, “Understanding the science experiences of successful women of color: Science identity as an analytic lens,” J. Res. Sci. Teach., vol. 44, no. 8, pp. 1187–1218, Oct. 2007.[13] H. G. Murzi and L. D. McNair, “Comparative dmensions of disciplinary culture,” in ASEE Annual Conference and Exposition, 2015.[14] M. Eliot and J. Turns, “Constructing professional portfolios: Sense-making and professional identity development for engineering undergraduates,” J. Eng. Educ., vol. 100, no. 4, pp. 630–654, 2011.[15] D. M. Riley, “Aiding and ABETing: The bankruptcy of outcomes-based education as a change strategy,” in ASEE Annual Conference and Exposition
. DOI: 10.1177/0047239516661713. [4] Li, C., & Irby, B. (2008). An Overview of online education: Attractiveness, benefits, challenges, concerns, and recommendations. College Student Journal, Part A, 42, 449– 458. [5] Luyt, I. (2013). Bridging spaces: Cross-cultural perspectives on promoting positive online learning experiences. Journal of Educational Technology Systems, 42, 3–20. [6] McInnery, J. M., & Roberts, T. S. (2004). Online learning: Social interaction and the creation of a sense of community. Educational Technology & Society, 7, 73–81. [7] Niess, M., & Gillow-Wiles, H. (2013). Developing asynchronous online courses: Key instructional strategies in a social metacognitive constructivist
]. ABET describes student outcomes as a collection of skills that engineering graduates mustpossess for success in the professional field. ABET has recently shifted from the earlier (a) to (k)scheme to a new (1) to (7) classification of student outcomes. However, this paper follows theprevious scheme, as the new one is still in a state of flux in terms of adaptation. Targeting moreaccurate and meaningful assessment, the Mechanical Engineering faculty at our department helda long series of deliberations, and sub-divided the ABET students outcomes (SOs) intoperformance indicators (PIs). For example, ABET SO (b) “an ability to design and conductexperiments, as well as to analyze and interpret data” was divided into three PIs: (b1) “ability todesign
tiles (Figure 2). The use of the e-white board allowed awritten/graphic communication like the one used in the white board of the F2F environment.The positive rapport established with students in the F2F classroom was used to create a smoothtransition, and to adapt the learning community established before the pandemic into the virtualenvironment. The technological resources provided by Cal Poly Pomona and the CE departmentalong with the use of the six elements of the ExCEEd teaching model were the foundation for theadaptation of the F2F teaching materials for instruction in the virtual classroom. A B C
, we present the major motivations behind the development of a B. S. in DataScience at the University of Arkansas. Then, we discuss how the program was developed, itsexpected objectives and outcomes, the curriculum structure, and its organizational/operatingstructure. We start with the motivation.Motivation. The University of Arkansas B.S. Data Science Program came from the recognizedneed, in Arkansas (and nationally [11] and internationally [12]) for a workforce of trained datascientists for technical, business, social, and operational success. For example [13]: “The future of Arkansas’ economic success is tied to our ability to succeed in data analytics and computing.” – Mike Preston, Executive Director, Arkansas Economic Development
: Rethinking the racial wealth gap,” Social Currents, vol. 4, no. 3, pp. 199–207, Jun. 2017, doi: 10.1177/2329496516686620.[8] A. B. Abad, “Paying the Price: College Costs, Financial Aid, and the Betrayal of the American Dream by Sara Goldrick-Rab,” The Review of Higher Education, vol. 42, no. 1, p. E-7-E-10, 2018, doi: 10.1353/rhe.2018.0041.[9] A. M. Shahiri, W. Husain, and N. A. Rashid, “A Review on Predicting Student’s Performance Using Data Mining Techniques,” in Procedia Computer Science, Jan. 2015, vol. 72, pp. 414–422, doi: 10.1016/j.procs.2015.12.157.[10] N. Kronberger and I. Horwath, “The Ironic Costs of Performing Well: Grades Differentially Predict Male and Female
B D A E F G Figure 2. Educational Progress in KuwaitResearch QuestionsTo identify the factors behind reversed gender stereotypes and build a quantitative tool, thefollowing research questions were considered: RQ1: What STEM Model Factors Influence Male Preferences and Performances in STEM Education? RQ2: What STEM Model Factors Influence Female Preferences and Performances in STEM Education? RQ3: How do Male and Female Preferences and Performances Compare based on STEM Model FactorsMethodSample and SettingThe sample
structure of engineering education. In International perspectives on engineering education (pp. 203-216). Springer, Cham.Chang, H., Ngunjiri, F., & Hernandez, K. A. C. (2016). Collaborative Autoethnography. Routledge.Dall’Alba, G., & Barnacle, R. (2007). An ontological turn for higher education. Studies in higher education, 32(6), 679-691.Ellis, C. (2004). The ethnographic I: A methodological novel about autoethnography. Rowman Altamira.Ellis, C., Adams, T. E., & Bochner, A. P. (2011). Autoethnography: an overview. Historical Social Research/Historische Sozialforschung, 273-290.Jesiek, B. K., Newswander, L. K., & Borrego, M. (2009). Engineering education research: discipline, community, or
deliver the content effectively and achieve equalacademic outcomes, how can we improve the experience?Overall, given the limited timeframe in which to redesign the course and challengingcircumstances for all, achieving parity with last year’s outcomes is a win and we remainoptimistic that first year students are getting the foundational research skills they’ll need to besuccessful in their academic and professional careers as engineers.References [1] E. Cordell, A. Link, S. Freeman, R. Whalen, and B. Williams, “A First-year Engineering Information Literacy Workshop to Increase Student Awareness of Research Databases,” American Society for Engineering Education, Virtual Online, June 2020, doi: 10.18260/1
do you define a “right triangle”? - a “foundational” question What do you mean by vector “magnitude”? 2 Question is about how to do How do I determine the third angle in a triangle if something given values for two angles? – a “procedural” question How do I make a unit vector that points from a given point A to a given point B? 3 Question is about how to do Should I always use
Polymer Processing Learning Module in a Manufacturing Course for Mechanical Engineers,”Proc. of the ASEE Annual Conference & Exposition, Virtual Conference, June 2020, Paper #29178. 4. H. J. LeBlanc, K. Nepal and G. S. Mowry, “Stimulating curiosity and the ability to formulate technical questions in an electric circuits course using the question formulation technique (QFT),” Proc. IEEE FIE, Indianapolis, IN, 2017. 5. V. M. Bhavsar, C. M. Dypiangco, and R. Moreau, “Fifty Questions: Encouraging Students to Ask Questions and Evaluate Information,” Natural Sciences Education, 45(1), 2016, pp.1-8. 6. J. R. Dhage, M. S. Patil, A. B. Pawar, “Implementation and Feedback Analysis of Jigsaw Active
metallurgy and additivemanufacturing processes are covered in the course. As a term project, the instructor illustrates forstudents to design and make an elliptical shaped plate, as shown in Figure 5 using either subtractiveprocesses, additive processes, or hybrid. The students can decide any material such asceramics, metals, polymers, or a combination of them for their project. The dimensions of part andits tolerances were provided to students. One of objective of this project is that student canunderstand differences between traditional manufacturing and modern additive manufacturingsuch as their production rate and surface quality and tolerances. Figure 5. An elliptical shaped plate is assigned to students in Clarkson University b to
Covid-19 on Higher Education around the World. 2020.[2] J. J. B. Joaquin, H. T. Biana, and M. A. Dacela, “The Philippine Higher Education Sector in the Time of COVID-19,” Front. Educ., vol. 5, no. October, pp. 1–6, 2020, doi: 10.3389/feduc.2020.576371.[3] T. Khraishi, “Teaching in the COVID-19 Era: Personal Reflections, Student Surveys and Pre-COVID Comparative Data,” Open J. Soc. Sci., vol. 09, no. 02, pp. 39–53, 2021, doi: 10.4236/jss.2021.92003.[4] D. Chadha et al., “Are the kids alright? Exploring students’ experiences of support mechanisms to enhance wellbeing on an engineering programme in the UK,” Eur. J. Eng. Educ., vol. 0, no. 0, pp. 1–16, 2020, doi: 10.1080/03043797.2020.1835828.[5] M. Schar, A
bit challenging but they really enjoy doing this kind of work.References: 1. J. A. Hoffer, M. B. Prescott and F. R. McFadden, “Modern Database Management”, Seventh Edition, Prentice Hall, 2005. 2. A. Perkins, “Business Rules = Meta Data”, the proceedings of the: Technology of Object-Oriented Languages and Systems, IEEE, 2000. 3. Catherine M. Ricardo, “Database Illuminated”, Third Edition, Jones & Bartlett Learning, 2017. 4. Mullins C. S. 1995, “The procedural DBA.” Database Programming & Design 812 (December): 40-45. 5. Rennhackkamp, M 1996, “Trigger Happy.” DBMS9,5 (May): 89-91, 95. 6. “Using Triggers and Compound Triggers in Oracle 11g”, https://dbanotes.com/using-triggers-and-compound
assess their levelof learning. Figure 1 describes major differences after the flip initiation.A three-year statistical analysis of retrospective student grade analysis was conducted (IRB#2021-0058M). ABET Outcome 1 of Criterion 3, the assigned ABET outcome for this BiomedicalElectronics Course, was further defined and evaluated as the following sub-outcomes: A. Ability to identify and formulate a circuit solution in time domain. B. Ability to identify and formulate a circuit solution (find the transfer function) in frequency domain. C. Ability to interpret the transfer function of a circuit. D. Solve complex engineering problems applying either Kirchhoff’s Voltage Law (KVL) circuit theory or Kirchhoff’s Current Law (KCL
electrical engineering / computer sciencesection.The design experience included in these GEEN 1201 courses was intended to inspire intereststudents in all ethnic groups. It should be noted that the majority of undergraduate students atour university are Hispanic, and the percent of Hispanic students in the 2018, 2019, and 2020cohorts of the GEEN 1201 course are given in Table 1. The percentages ranged from 55% to82%, and average 72%. Also, the percentage of females registered in these courses ranged from6% (mechanical discipline) to 24% (chemical discipline) for the 2019 cohort of GEEN 1201.Hispanics face challenges in selecting and remaining in STEM majors due to (a) potential socialstigma against studying STEM, including engineering, and (b) not
an Ecology of Knowledge: On Discipline, Context, and History,”No Other Gods. Johns Hopkins University Press, 1979.[14] S. Star (ed.), Ecologies of Knowledge: Work and Politics in Science and Technology.Albany, NY: State University of New York Press, 1995.[15] A. Akera, Calculating a Natural World: Scientists, Engineers, and Computers during theRise of the U.S. Cold War Research. Cambridge, MA: MIT Press, 2007.[16] J. Hagen, An Entangled Bank: The Origins of Ecosystem Ecology. New Brunswick, NJ:Rutgers University Press,1992.[17] A. Slaton and A. Pawley, “The Power and Politics of Engineering Education ResearchDesign: Saving the ‘Small N’,” Engineering Studies, 10:2-3, 133-157, 2018.[18] T. Boellstorff, B. Nardi, C. Pearce, T.L. Taylor
how the activities supported the students learning,where ~7% disagreed that it supported their learning, and ~14% were neutral. Professionaldevelopment evaluated how these activities supported the students learning, where < 1%disagreed that it supported their learning, and ~9% were neutral. (B) Participants from thesummer professional development and research preparation program ranked how much they feltpart of the scientific community or like a scientist.Despite concerted efforts and strategies to address the limitations inherent in an onlineenvironment, students were critical regarding the lack of getting to know one another andbuilding cohort community. The ice breakers, discussions, and small break-out room exchangesdesigned to
Laser Scanning," Journal of Construction Engineering & Management, vol. 131, no. 3, pp. 377-384, 2005.[2] M. J. Olsen, F. Kuester, B. J. Chang, and T. C. Hutchinson, "Terrestrial Laser Scanning-Based Structural Damage Assessment," Journal of Computing in Civil Engineering, vol. 24, no. 3, pp. 264-272, 2010.[3] N. J. Shih and P. H. Wang, "Point-Cloud-Based Comparison between Construction Schedule and As-Built Progress: Long-Range Three-Dimensional Laser Scanner's Approach," Journal of Architectural Engineering, vol. 10, no. 3, pp. 98-102, 2004.[4] A. Holgado-Barco, D. Gonzalez-Aguilera, P. Arias-Sanchez, and J. Martinez- Sanchez, "An automated approach to vertical road characterisation using
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our students: A Longitudinal‐Study of success and failure in engineering with implications for increased retention. Journal of Engineering Education, 96(3), 263-274. doi:10.1002/j.2168-9830.2007.tb00935.x[13] Felder, R. M., Felder, G. N., Mauney, M., Hamrin, C. E., & Dietz, E. J. (1995). A longitudinal study of engineering student performance and retention. III. gender differences in student performance and attitudes. Journal of Engineering Education, 84(2), 151-163. doi:10.1002/j.2168-9830.1995.tb00162.x[14] Geisinger, B. N., & Raman, D. R. (2013). Why they leave: Understanding student attrition from engineering majors. Agricultural and Biosystems Engineering Publications, 607. Retrieved from https
] Association of Unmanned Vehicle Systems Internation, “The Economic Impact of Unmanned Aircraft Systems Integration in the United States,” 2013.[5] B. Canis, “Unmanned Aircraft Systems ( UAS ): Commercial Outlook for a New Industry,” 2015.[6] Natrional Academy of Engineering, “Educating the Engineer of 2020: Adapting Engineering Education to the New Century,” National Academies Press, 2020. doi: 10.17226/11338.[7] National Academy of Engineering, Educating Engineers: Preparing 21st Century Leaders in the Context of New Modes of Learning. Teh National Academies Press, 2013.[8] J. Chagoya, “Calhoun: The NPS Institutional Archive NPS, Academic Partners Take to the Skies in First-Ever UAV Swarm Dogfight
. Liu, D. Byrne, and L. Devendorf, “Design for collaborative survival: An inquiry into human-fungi relationships,” Conf. Hum. Factors Comput. Syst. - Proc., vol. 2018-April, pp. 1–13, 2018.[16] W. Odom, R. Wakkary, Y. K. Lim, A. Desjardins, B. Hengeveld, and R. Banks, “From research prototype to research product,” Conf. Hum. Factors Comput. Syst. - Proc., pp. 2549–2561, 2016.[17] S. Hauser, D. Oogjes, R. Wakkary, and P. P. Verbeek, “An annotated portfolio on doing postphenomenology through research products,” DIS 2018 - Proc. 2018 Des. Interact. Syst. Conf., pp. 459–472, 2018.[18] S. Hyysalo, C. Kohtala, P. Helminen, S. Mäkinen, V. Miettinen, and L. Muurinen, “Collaborative futuring with and by
PBLimproves student experience and outcomes in a hybrid or virtual environment resulting fromCOVID, it does not assess actual student performance. Further research can still be done toassess student performance in the hybrid or virtual environment that has resulted from theCOVID pandemic, particularly comparing performance of students in traditional-style onlinecourses and PBL-oriented courses using exam or course grades.References[1] “Criteria for Accrediting Engineering Programs, 2020 – 2021.” ABET. Accessed February 1, 2021. https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2020-2021/.[2] S. Deep, B. M. Salleh, and H. Othman. “Improving the Soft Skills of Engineering
., Kellam, N., & Jayasuriya, S. (2020). A Review of the State of LGBTQIA+ Student Research in STEM and Engineering Education. 2020 ASEE Virtual Annual Conference Content Access Proceedings, 34045. https://doi.org/10.18260/1-2-- 34045Marine, S. B., & Nicolazzo, Z. (2014). Names that matter: Exploring the tensions of campus LGBTQIA centers and trans* inclusion. Journal of Diversity in Higher Education, 7(4), 265–281. https://doi.org/10.1037/a0037990Miller, R. A. (2018). Toward Intersectional Identity Perspectives on Disability and LGBTQIA Identities in Higher Education. Journal of College Student Development, 59(3), 327–346. https://doi.org/10.1353/csd.2018.0030Miller, R. A., Vaccaro, A
] “Code of Ethics for Engineers,” National Society of Professional Engineers, 2007. [Online]. Available: https://www.nspe.org/resources/ethics/code-ethics[6] W. T. Lynch and R. Kline, “Engineering Practice and Engineering Ethics,” p. 31.[7] N. Canney and A. Bielefeldt, “A Framework for the Development of Social Responsibility in Engineers,” International Journal of Engineering Education, vol. 31, no. 1(B), pp. 414–424, 2015.[8] T. Swierstra and J. Jelsma, “Responsibility without Moralism in Technoscientific Design Practice,” Science, Technology, & Human Values, vol. 31, no. 3, pp. 309–332, May 2006, doi: 10.1177/0162243905285844.[9] J. A. Schmidt, “Changing the paradigm for engineering ethics,” Sci
rubric is that it reminds the reader to consider a variety of factors when reviewing each application. This is particularly helpful when evaluating students who come from non-traditional backgrounds.” “It gave me a framework to consider a wider variety of factors in considering potential graduate students that went far beyond the simple GPA, GRE metrics.” “The questions in the rubric prompted me to specifically look for that information in an applicant’s file which I may have otherwise missed.”Faculty were also asked to rank the value they placed on various application components prior toand after the implementation of the rubric. Those components included a) letters of evaluation, b)CV/resume, c) personal
Paper ID #34857Building STEAM: Creating a Culture of Art in an Engineering EducationDr. Katherine Hennessey Wikoff, Milwaukee School of Engineering Katherine Wikoff is a professor in the Humanities, Social Science, and Communication Department at Milwaukee School of Engineering, where she Is a member of the UX faculty and teaches courses in communication, film/media studies, and political science. She has a B.A. in political science from Wright State University and an M.A. and PhD in English from the University of Wisconsin-Milwaukee.Mr. James R. Kieselburg, Milwaukee School of Engineering Director and Curator, Grohmann