l B radius l C viscosity ml-1t-1 DStudents start by guessing which variables might affect blood flow, such as tube radius, tubelength, fluid viscosity, and the pressure gradient. They might also include variables which do notfactor into Poiseuille’s Law, such as temperature. In this way, they learn that any extra variablesshould drop out of the equation at the end.The exact relationship is unknown, so coefficients are used for the exponents as shown inEquation 9.(Eq 9) FLOW (l3 t-1) = f (pressureA, lengthB, radiusC, viscosityD) = (ml-1t-2)A (l)B (l)C ( ml-1t-1)DExponents can be equated for each
gap”, Nature, vol. 495, pp. 22-24, 2013. [Online] Available: https://www.nature.com/polopoly_fs/1.12550!/menu/main/topColumns/topLeftColumn/p df/495022a.pdf?origin=ppub [Accessed January 24, 2018].[15] V.A. Haines, J.E. Wallace, M.E. Cannon, “Exploring the gender gap in engineering: a re-specification and test of the hypothesis of cumulative advantages and disadvantages”, Journal of Engineering Education, vol. 90, issue 4, pp. 677-684, 2001. https://doi.org/10.1002/j.2168-9830.2001.tb00659.x[16] D. Beede, T. Julian, D. Langdon, G. McKittrick, B. Khan, M. Doms, “Women in STEM: a gender gap to innovation”, Executive Summary commissioned by the United States Department of Commerce Economics and
. Englewood Cliffs, N.J.: Prentice-Hall, 1984.2. "EPICS", EPICS - Purdue University, 2018. [Online]. Available: https://engineering.purdue.edu/EPICS. [Accessed: 25 Jan. 2018].3. W. C. Oakes, E. J. Coyle, and L. H. Jamieson, "EPICS: A Model Of Service Learning In An Engineering Curriculum," in Proceedings of the 2000 ASEE Annual Conference & Exposition, 18-21 June 2000, St. Louis, MO [Online]. Available: ASEE Conferences, https://peer.asee.org/8361. [Accessed: 25 Jan. 2018].4. "Home - Engineers Without Borders USA," Engineers Without Borders USA, 2018. [Online]. Available: https://www.ewb-usa.org/. [Accessed: 25 Jan. 2018].5. B. Jaeger and E. LaRochelle, "EWB (2)-Engineers Without Borders: Educationally, a
experiments, Froude and Reynolds number scaling isaddressed in detail, and considerable time is spent discussing laboratory safety, instrumentation,data acquisition systems, and uncertainty analysis. Students complete several homeworkassignments individually, and three standard projects, completed in teams, involving a)measurement of resistance on an underwater vehicle, b) measurement of resistance on a surfacevessel, and generation of open water curves on a propeller.Figure 3: Towing tank models used in ENH. Top: KRISO container ship (KCS) with Hama stripsmounted near the bow to force transition; bottom: DARPA SUBOFF.Content in CNH and ENH is delivered using a range of resources, including lecture notes,supplementary texts, and ITTC (International
. [20] developed a method for monitoring course stability based on the ParetoDistribution and Bloom’s Taxonomy for formulating scorecard metrics for course outcomes.Course outcomes are stable when 80 % of student grades were C or above and the average gradefor course outcomes and course grade was B for students who made C or above on each metric.Rationale for the B average was student eligibility for the Hope Scholarship. The dotted line ofthe 80th percentile in Figure 13 indicates compliance issues for category 3 and 4 students.The results of a pair-wise chi squareanalysis of grade distributions for studentclassifications in Table 2 indicatesignificant differences in spatial pairing ofstudent categories. Distributions arestatistically
Written Oral Written a b d f g jFigure 5. ABET assessment for Desktop 3D Filament Manufacturing Device senior design team during Fall, Winter and Spring 2016-17 AY.ConclusionThis 3D filament manufacturing device is a viable option for educational use, as it demonstrates theprocess of recycling and reusing 3D printed parts in a controlled environment. This design allowseducators and manufacturing companies to purchase a safe, low-cost teaching aid for their students oremployees to gain hands on experience. From the initial design of the machine, the safety of the usersand a cost-effective product were the two most important constraints and were
; Exposition, Montreal, Canada, 2002, pp. 7.1561.1‒9.[7] Miller R and Olds B, “A model curriculum for a capstone course in multidisciplinary engineering design,” J Eng Educ, 83(4): 311–316, 1994.[8] Hanlon P, Goda B, and Shay L, “Experience with multidisciplinary design projects at the US Military Academy.’ in Proc. of ASEE 2004 Annual Conference & Exposition, Salt Lake City, UT, 2004.[9] Hotaling N, Fasse B, Bost L, Hermann C, and Craig F, “A quantitative analysis of the effects of a multidisciplinary engineering capstone design course,” J Eng Educ, 101(4): 630–656, 2012.[10] Thigpen L, Glakpe E, Gomes G, and McCloud T, “A model for teaching multidisciplinary capstone design in mechanical engineering,” in Proc. of Frontiers in
couldbe replicated on a national level. I also believe that providing students with mentors thathave extensive experience as practicing engineers can underpin the core of each experiencethat an undergraduate receives, and better prepare them to be engineers, both mentally andacademically. Retention rates, grade point averages and graduation and transfer rates forengineering majors who have been nurtured in our experience-centered “nest” are muchhigher than the rates for SAC students as a whole.Publications After witnessing for several years a continuous decrease of students’ 3-D visualizationskills I decided to develop a series of exercises to help the correct the situation. The exerciseswere collected in a book “A, B, See in 3D”20
report; these evaluators had a technicalbackground, worked in the EE and ME departments at the Polytechnic, and were familiar withsome of the projects. The three evaluators individually scored the projects for (A) prototypingtool usage, (B) prototype quality, and (C) prototyping level.(A) Prototyping tool usage: Tool usage was assessed at a level from 0 to 3. Scores referencedthe presence of a particular tool used to fabricate a design solution and the level of technicalproficiency in using that tool. A score of a 3 meant that the tool was used to a high level ofproficiency, a 2 meant a tool was used with an average level of proficiency, and a 1 meant thattool use was present, with a low level of proficiency. A score of a zero indicated that
, measurement, and theory-focused approaches," in Cambridge Handbook ofEngineering Education Research, 1st ed., A. Johri and B. Olds, Eds. Cambridge UniversityPress, 2014, pp. 83-101.[9] C. Venters, L. McNair and M. Paretti, "Using writing assignments to improve conceptualunderstanding in statics: Results from a pilot study," in ASEE 112th Annual Conference andExposition, San Antonio, TX, 2012.[10] D. Montfort, S. Brown and D. Pollock, "An Investigation of Students' ConceptualUnderstanding in Related Sophomore to Graduate-Level Engineering and Mechanics Courses,"Journal of Engineering Education, vol. 98, (2), pp. 111-129, 2009.[11] R. Taraban et al, "First Steps in Understanding Engineering Students' Growth of Conceptualand Procedural Knowledge in an
://www.nsf.gov/statistics/2016/nsb20161/#/report/chapter-2/undergraduate-education-enrollment-and-degrees-in-the-united-states . [Accessed Feb. 02,2018].[3] M. Estrada, M. Burnett, A. G. Campbell, P. B. Campbell, W. F. Denetclaw, C. G. Gutierrez,et al., “Improving underrepresented minority student persistence in STEM,” CBE – Life SciencesEducation, 15, es5, Fall 2016.[4] D. Bergen-Cico and J. Viscomi, “Exploring the association between campus co-curricularinvolvement and academic achievement,” Journal of college student retention: Research, theory& practice 14(3): 329-343, 2012.[5] B.A. Boateng, and B. Thomas, “How can we ease the social isolation of underrepresentedminority students?” Academic Medicine 86(10): 1190, 2011.[6] W. C. Lee, and H. M
curriculum. Proceedings of the 124th ASEE Annual Conference. Columbus, Ohio, June 25-28, 2017.7. Waldorf, D. J., & Georgeou, T. M. (June, 2016). Geometric dimensioning and tolerancing (GD&T) integration throughout a manufacturing engineering curriculum. Proceedings of the 123rd ASEE Annual Conference. New Orleans, Louisiana, June 26-29, 2016.8. Witherell, P., Herron, J., & Ameta, G. (May, 2016). Towards annotations and product definitions for additive manufacturing. Proceedings of the 14th CIRP Conference on Computer Aided Tolerancing, Gothenburg, Sweden. May 18-19, 2016.9. Hewerdine, K. P., Leake, J. M. & Hall, W. B. (June, 2011). Linking CAD and metrology to explain, demonstrate, and teach GD&T
Practice through Collaborative Inquiry. Thousand Oaks, CA: Sage, 2011.[7] A. Childre, J. R. Sands, and S. T. Pope, “Backward Design: Targeting Depth of Understanding for All Learners,” Teaching Exceptional Children, vol. 41, issue 5, pp. 6-14, 2009.[8] K. DiRanna, E. Osmundson, J. Topps, L. Barakos, M. Gearhart, K. Cerwin, D. Carnahan, and C. Strang, Assessment-Centered Teaching: A Reflective Practice. Thousand Oaks, CA: Corwin, 2008.[9] W. Cerbin and B. Kopp, “Lesson Study as a Model for Building Pedagogical Knowledge and Improving Teaching,” International Journal of Teaching and Learning in Higher Education, vol. 18, issue 3, pp. 250-257, 2006.[10] J. McTighe and J. L. Brown, “Differentiated Instruction and Educational
R. Ribe, “Engage Engineering.” [Online]. Available: https://www.engageengineering.org/.6. C. Hill, C. Corbett, and A. St. Rose, Why So Few? Women in Science, Technology, Engineering, and Mathematics. American Association of University Women, 2010.7. S. A. Sorby, Developing spatial thinking. Delmar Cengage Learning, 2012.8. R. B. Guay, Purdue spatial visualization test: Rotations. West Lafayette, IN: Purdue Research Foundation, 1977.9. S. A. Sorby. "Assessment of a" new and improved" course for the development of 3-D spatial skills." Engineering Design Graphics Journal 69.3, 2009.10. N. Delson and L. Van Den Einde, “Tracking student engagement with a touchscreen app for Spatial Visualization Training and freehand sketching
, 2011. [5] M. L. Gick, and K. J. Holyoak, “Schema induction and analogical transfer.” Cognitive psychology, vol. 15, pp. 1-38, 1983. [6] S. M. Barnett, and S. J. Ceci, “When and where do we apply what we learn?: A taxonomy for far transfer.” Psychological bulletin, vol. 128, pp. 612, 2002. [7] A. Pickering, The mangle of practice: Time, agency, and science. University of Chicago Press, 2010. [8] B. Barron, D. Schwartz, N. Vye, A. Moore, A. Petrosino, L. Zech, and J. Bransford, “Doing with understanding: Lessons from research on problem-and project-based learning.” Journal of the Learning Science, vol. 7, pp. 271-311, 1998. [9] S. P. Lorona, S. B. Nolen, and M. D. Koretsky, “The Two Worlds of Engineering Student
, Florida, USA, November 3-9, 20172 Cirenza, C., Diller T. E., and Williams, C. B., “Assessing Effects of Challenge-Based Instruction on Conceptual Understanding in Heat Transfer,” 122nd ASEE Annual Conference & Exposition, Seattle, WA, June 14-17, 2015.3 Recktenwald, G. W., “A Desktop Apparatus for Demonstrating Convective Heat Transfer,” 123rd ASEE Annual Conference & Exposition, New Orleans, LA, June 26-29, 2016.4 Sozen, M., “A Design-and-Build Project for Heat Transfer Course,” 123rd ASEE Annual Conference & Exposition, New Orleans, LA, June 26-29, 2016.5 Vigeant. M.A., Prince, M.J., Nottis, K.E.K, Koretsky, M., and Ekstedt, T.W., “Hands-on, Screens-on, and Brains-on Activities for Important Concepts in
easy for them to quickly identify and comprehend the most prominent themesin the feedback. As seen in Figure 2, several types of information are readily discerned from ourreports: (a) Issues that the entire class agreed upon; (b) the number of individual groups thatdiscussed particular issues; (c) the range of ways that student groups focused on particular issues;and (d) the general tone of students’ comments.Figure 2: Pages excerpted from a sample SGID report, as automatically produced by our database. Feedback items are grouped by theme and ordered by question (SGID I, II) and frequency. Full-class consensus items are presented in bold, with triangular bullets. Group consensus items are transcribed verbatim, grouped by theme, and presented
Paper ID #22934Framing Engineering Ethics Education with Pragmatism and Care: A Pro-posalDr. Indira Nair, Carnegie Mellon University Indira Nair retired from Carnegie Mellon University after 32 years. For the last 12 of those years, she was the vice provost for education and a professor in the department of engineering and public policy. She has designed and taught several interdisciplinary courses, including the ethics of science and technology, environmental science, technology and decision-making, and radiation, health, and policy. Her research has ranged over risk assessment and communication, green design
; Measurement, respectively from Purdue University. Her work centers on P-16 engineering education research, as a psychometrician, program evaluator, and institutional data analyst. She has authored/co-authored more than 40 peer-reviewed journal articles and conference proceedings and served as a reviewer of journals in engineering education, STEM education, and educational psychology, as well as an external evaluator and an advisory board member on several NSF-funded projects.Dr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne
planes. In contrast Figure 8 shows a student sketched part with chamfered corners,where the vertical edge of chamfer and the horizontal edge of the mating top surface are collinearin the drawing. When asked to describe the collinear lines, the student replied that, “Thechamfer line doesn’t look up and down, but looks like it is at an angle because of how the rest ofthe part is.” This remarkable comment indicates that the student was understanding the part in aholistic way and that the features on the isometric sketch represent edges of it in a coherentfashion.Figure 7: Coincident lines (Line A and Line B) on different planes in an isometric view.Figure 8: Student sketched chamfered corner where collinear vertical line represents two edgeson
, and the formation of mentor/mentee relationships. PLTL has been provento provide a greater sense of belonging for students that attend the workshops.11 It is believed thatthe creation of small learning communities between students affects them positively meaning theymight have a higher chance of getting a grade of A, B, C, or D.10 Students are able to master thematerial when they have PLTL sections, it allows them to retain the information because they wereactively engaged in solving the problem.12 Implementation of active learning through PLTL hasimproved retentions rates by 15%.13Peer-Led Team Learning in StaticsThe Construction Management and Civil Engineering Technology (CMCE) department offersassociate degrees in Civil Engineering
-studentrelationships, benefits of underrepresented student organizations, problems with advising, lackof communication of School of Engineering policies, procedures, and initiatives, and finally,excessive expectations of student organizations to improve the student experience.The six recommendations of the report highlighted concrete steps the school could enact toimprove the environment for all students. 1. Create a Center for Engineering Diversity – dedicated to working with minority engineering students. The goals of the center would include: a. Increase the diversity of students who apply, enroll, and graduate from the School of Engineering, b. Increase awareness of engineering careers by underrepresented groups
, 2010.[4] S. Brownell and K. Tanner. “Barriers to faculty pedagogical change: Lack of training, time,incentives, and… tensions with professional identity?” CBE-Life Sciences Education, 11(4), 339-346, 2012.[5] D. Feldon, J. Peugh, B. Timmerman, M. Maher, M. Hurst, D. Strickland, J. Gilmore, C.Stiegelmeyer. “Graduate students’ teaching experiences improve their methodological researchskills.” Science, 333(6045), 1037-1039, 2011.[6] J. Supovitz and H. Turner. “The effects of professional development on science teachingpractices and classroom culture.” Journal of Research in Science Teaching, 37(9), 963-980,2000.[7] A. Austin. “Preparing the next generation of faculty: Graduate school as socialization to theacademic career.” The journal of higher
Paper ID #22330What’s in a Name? Technology and the Image of EngineeringDr. John Heywood, Trinity College Dublin John Heywood is professorial Fellow Emeritus of Trinity College Dublin- The University of Dublin. he is a Fellow of ASEE and Life Fellow of IEEE. he has special interest in education for the professions and the role of professions in society. he is author of Engineering Education. research and development in Curriculum and Instruction. c American Society for Engineering Education, 2018 What’s in a name? Technology and the Image of EngineeringAbstractIn some of the Western
, as well as those making use of novel technologiesincluding big data and analytics, automation and robotics, additive manufacturing, advancedmaterials, and biotechnologies.The program is designed to be a two-year (AAS) degree that is transferable to the junior year of aBachelor of Science degree program in Mechanical Engineering Technology (MET) that is underdevelopment through a partnership with Rowan University.Aligning with the ABET-ETAC requirements, the student outcomes of the program will include:a) an ability to select and apply the knowledge, techniques, skills, and modern tools of thediscipline to broadly-defined engineering technology activities;b) an ability to apply a knowledge of mathematics, science, engineering, and technology
examples research,” Rev. Educ. Res., vol. 70, no. 2, pp. 181–214, 2000.[41] J. Tuminaro and E. F. Redish, “Elements of a cognitive model of physics problem solving: Epistemic games,” Phys. Rev. Spec. Top. - Phys. Educ. Res., vol. 3, no. 2, Jul. 2007.[42] A. A. DiSessa, “Knowledge in Pieces,” in Constructivism in the Computer Age, G. Forman and P. B. Pufall, Eds. New Jersey: Lawrence Erlbaum Associates, In., 1988.[43] E. Yackel and P. Cobb, “Sociomathematical Norms, Argumentation, and Autonomy in Mathematics,” J. Res. Math. Educ., vol. 27, no. 4, p. 458, Jul. 1996.[44] K. Tatsis and E. Koleza, “Social and socio-mathematical norms in collaborative problem- solving,” Eur. J. Teach. Educ., vol. 31, no. 1, pp. 89–100, Feb. 2008.[45
dynamics projects. Finally, theimportance surveys suggest that students gained a better appreciation for the importance ofhaving an entrepreneurial mindset in a traditionally-technical course. This increase in perceivedimportance and ability in EML outcomes is the most encouraging. It indicates that theframework presented is an effective way of continuing EML through the more technicalcurriculum typically seen during the sophomore and junior years. It is also significant that thesepositive EML outcomes did not come at the expense of technical outcomes. The students’increased confidence in modeling and simulating electromechanical systems, and the fact that 23of the 29 respondents received a B or A on the project bear this out.It should be
microfabrication and nanotechnology. Boca Raton, FL: CRC Press, 2012. 10. B. Robertson, “Science 101: How Does an Electron Microscope Work?,” Science and Children, vol. 051, no. 01, pp. 76–78, 2013. 11. B. Smith, “The Differences Between Atomic Force Microscopy and Scanning Electron Microscopy,” AZoM.com, 01-Aug-2017. [Online]. Available: https://www.azom.com/article.aspx?ArticleID=11879. [Accessed: 01-Feb-2018]. 12. “Scanning Electron Microscopy (SEM),” Techniques, 26-May-2017. [Online]. Available: https://serc.carleton.edu/research_education/geochemsheets/techniques/SEM.html. [Accessed: 02-Feb-2018]. 13. G. Brake, “Buying a Pre-Owned SEM,” Lab Manager. [Online]. Available: http://www.labmanager.com
). Creativity in the design process: the co-evolution of problem-solution. Design Studies, 22(5), 425-437. 10. Cinlar, E. (2013). Introduction to Stochastic Processes. Prentice Hall: Englewood Cliffs, NJ. 11. Daltrozzo, J., & Conway, C. M. (2014). Neurocognitive mechanisms of statistical-sequential learning: what do event-related potentials tell us? Frontiers in Human Neuroscience, 8. 12. Keele, S. W., Ivry, R., Mayr, U., Hazeltine, E., & Heuer, H. (2003). The cognitive and neural architecture of sequence representation. Psychological Review, 110(2), 316–339. 13. Clegg, B. A., DiGirolamo, G. J., & Keele, S. W. (1998). Sequence learning. Trends in Cognitive Sciences
-Participants noted an innate aptitude was necessary for continued science interest due to challenging materialEnvironmental FactorsThe data revealed four overall themes relating to environmental factors that impact bothdecisions to major in computer science and pursue a career in computer science. Themesincluded: a) prior experiences, b) pedagogy and immediate educational environment, c) cultureof the computer science field, and d) long term job prospects. While the literature suggests thatdifferences may exist between men’s and women’s experiences, such differences did not emergein the data from our study with the exception of the value associated with and likelihood ofparticipating in “tinkering” experiences.The environmental