College. Her research interest revolves around software estimation, software design and curriculum design of software engineering course(s).Dr. Muhsin Menekse, Purdue University, West Lafayette (College of Engineering) Muhsin Menekse is an assistant professor at Purdue University with a joint appointment in the School of Engineering Education and the Department of Curriculum & Instruction. Dr. Menekse’s primary research investigates how learning activities affect students’ conceptual understanding of engineering and science concepts. His second research focus is on verbal interactions that can enhance productive discussions in collaborative learning settings. And his third research focus is on metacognition and its
of their thermaldesign margins explaining how they are using a model and sensitivity analysis before concludingthat many different situations had been considered. Therefore, while the project expertunderstood the complexity of the design and discussed the actual quantified margins ofuncertainty, we see by move 4’s question that this explanation was insufficient for the reviewer.At this point, we see the manager interject in move 4 in an attempt to explain in a differentmanner by indicating that some parts can be changed out to help with the thermal balancing,suggesting the use of a simulator, and insisting that the project expert has done everything theycan at this point. At a CDR there can still be uncertainties about the overall project
that the effects ofgender on other forms of SI available to students be examined. This outcome could be madepossible by expanding the scope of the research to other freshman engineering courses with moremale and female lecturers. Lastly, partnering with counterparts at other universities can provideadditional data to support and augment findings presented here.References[1] S. E. Carrell, M. E. Page and J. E. West, "Sex and Science: how professor gender perpetuates the gender gap," The Quarterly Journal of Economics, vol. 125, no. 3, pp. 1101- 1144, 2010.[2] L. MacNell, A. Driscoll and A. N. Hunt, "What's in a name: exposing gender bias in student ratings of teaching," Innovative Higher Education, vol. 40, no. 4, pp. 291-303, 2015
) highlightsthe following data about sources of academic research funding: The federal government provided 59% ($32.6 billion) of the $54.9 billion of academic spending on S&E R&D in FY 2009. Industry's % of funding for academic R&D declined steeply after the 1990s, from above 7% in 1999 down to about 5% by 2004, but has seen a 5-year increase to about 6% in 2009.While this indicates that industry funded research is relatively low (6% overall in 2009), someUS universities within engineering, especially at large R1 schools, receive a considerably higherpercentage of their research funding from industry than the overall 6% reported by the NSBreport. Using the National Science Foundation’s (NSF) Higher Education Research andDevelopment
engineering technology programs. Development of common assessment tools havehelped in standardizing the assessment process. Appendix Faculty Course Assessment Report (FCAR)Course No.__MET-455_____ Course Title _____Lean Engineering____ credits __3_ Semester ___Spring ___ Year____2015_____ Instructor _______Alok K. Verma______Catalog Description: Lecture 3 hours; 3 Credits. Prerequisite: Senior Standing and MET 200. This course looks atthe history of lean and six sigma philosophies, their principles and implementationmethodologies for creating a world class enterprise. Topics in Lean include five s, valuestream mapping, cellular manufacturing, pull system
fluid volume flowrate qvhot m3/s 2.0 2.0 Specific heat of hot fluid Cp,hot kJ/kg-K 4.180 4.187 Density of hot fluid ρhot kg/m3 988.76 980.3Table 2 Calculated values used to design and size a heat exchanger [4] Symbol Units Formulas Measured or calculated value for: 50°C 70°C Mass flowrate (Hot fluid) qmh kg/s (ρhot) (qvhot) 0.033 0.032 Heat power emitted from hot fluid Qe W (3) 519.0
communication and management acumen (e.g., technicalwriting, technical presentations, and project management). Such an approach is essential topreparing future engineers for the workplace [1]. The challenge becomes providing studentswith effective exposure to both kinds of skills within engineering programs.Traditionally, the development of such skills has been a matter of content-specific courseworkintegrated into a school’s engineering program(s). (A classic example is the technical writingcourse often offer by English or communication departments and required of engineeringundergraduates.) As institutional resources shrink and student demand increases, the need tofind alternative methods for offering training in these “soft-skill” areas grows
(ICAMME'2012), Penang, Malaysia, May 19-20, 2012.[3] A. Pourmovahed, C. Jeruzal, and S. Nekooei, “Teaching applied thermodynamics with EES,” ASME International Mechanical Engineering Congress and Exposition, Advanced Energy Systems Division, pp. 105-120, 2002. doi:10.1115/IMECE2002-33161.[4] D. R. Sawyers, Jr. and J. E. Marquart, “Using simulation software in thermal science courses,” Proceedings of the Spring 2007 American Society for Engineering Education North Central Section Conference at West Virginia Institute of Technology (WVUTech), March 30- 31, 2007.[5] S. Pennell, P. Avitabile, and J. White, “Teaching differential equations with an engineering focus,” 2006 Annual Conference & Exposition, Chicago, Illinois, June
Newtonian mechanics [15],visualizing electric circuits [16] and several activities in chemistry [3].Solving apparently simple problems in mathematics can be very challenging as illustrated in astudy by Clement [17] who administered a number of word problems to engineering students.Just under one third of students were able to construct the correct algebraic equation from thefollowing statement (using C to represent the number of cheesecakes and S the number ofstrudels): “At Mindy’s restaurant, for every four people who ordered cheesecake, there are fivepeople who ordered strudel.” Such high error rates in problem solving can be exacerbated bychanging the problem phrasing. For example, Hegarty, Mayer & Green [18] found thatrephrasing a simple
, how they resolved and finally a demonstration of their prototype in front of their peers for 6-7 minutes. For each lab (11 of them), every student uploaded a LAB report to summarize what they had learned on a corresponding day and how theory and experiments complemented each other. Total number of students assessed (Ns): 21 during Spring 2018Outcome 1 Average (Ms): Standard deviation (s): Mid-Term 1: 65.3% Mid-Term 1: 4.24 Mid-Term 2: 63.15% Mid-Term 2: 3.76 Final Exam: 61.6% Final Exam
-traditionalartifact) may be better received by younger educators. We will continue to explore thishypothesis in the future, as active learning approaches permeate more classroom settings. Component Assessment Score Sophisticated Competent Not Yet Competent 3 2 1 Identifies pertinent technical information about the material(s) All important major and minor
design considerations were US D798,634 Sand US 9,775,443 B2. US D798,634 S is a design patent for an interconnected air pocket seatcushion. The only claim made by this patent is “the ornamental design for an air cushion, asshown and described”. This claim does not conflict with the project because it only affects seatcushions that match the design shown: Figure 1. Seat cushion design patentUS 9,775,443 B2 is a patent for a “discontinuous air delivery system for inflatable static medicaldevice” that maintains a preset pressure throughout the entirety of an air mattress using acomputer controlled air pump. This patent has 18 claims that are very specific and detailed, butthe easiest one that proves that the design
proposal, and to display and present on a prototype for demonstration. You will need to design and build a functioning prototype product that must: 1. Be a human-centered design (report instructions include research documentation) 2. Fit within a 30-cm x 30–cm x 30-cm volume 3. Use an Arduino Uno microcontroller development board. (It must be powered and controlled by no more than 2 Arduino microprocessors.) 4. Receive input from at least one sensor (soil, humidity, sunlight, temperature, etc.) 5. Control at least one actuator based on input from the sensor(s) 6. Incorporate at least one functional 3D printed component designed using Onshape 7. Estimated print time of your 3D printed
101 502.5 0.0 0.122 0.000 5 S, W 0 Failed to converge 5 Groups 13 41 143.6 34.2 0.063 0.012 5 G+W 6 39 115.6 16.5 0.057 0.006 5 All 9 27 110.2 42.9 0.069 0.019 6 N, S, W 0 Failed to converge 6 Groups 1 91 62.8 0.0 0.043 0.000 6 G+W 3 28 57.2 12.0 0.041 0.009 6 All 7 16 56.2
-27, 2018, Salt Lake City, Utah.[9] Khan, M., and Wu, N.," On Measuring Personal Perception of Self-Efficacy of Students in Engineering Modeling and Design Courses", Proceedings of ASEE Midwest Section Conference, September 25, 2017, Stillwater, OK.[10] Khan, M., Ibrahim, M., "Flipped Classroom in Technology Courses – Impact on Personal Efficacy and Perception Based on Learning Style Preferences", Proceedings of the IEEE Integrated STEM Education Conference (ISEC 2017), March 11, 2017, Princeton, NJ.[11] Brown, I., Stothers, R., Thorp, S. and Ingram, L., "The Role of Learning Styles in the Acceptance of Web-based Learning Tools". 36th Annual Conference of the Southern African Computer Lecturers Association SACLA2006, 1(1
method consider the following problems.First consider Figure 4. A reasonable problem involving only algebra could be given as follows. Ifthe smooth slider has the speed shown at point A, what is the maximum distance s that it canreach?Figure 4 - Example of a Problem in Mechanics.Solving this problem requires an understanding of kinetic and potential energy and how toaccount for it in a system.Similarly consider Figure 5 showing a tank of water connected to a nozzle. Given all thedimensions, a reasonable question might be to determine the pressure at the throat of the nozzle.Again this problem requires an understanding of how to account for energy in a system. It hasdifferent forms of energy when compared to the mechanics problem but the problem
Industry and Education Collaboration http://cip.asee.org/?page_id=158[3] M. Aggarwal, “College Industry Partnerships at its Best,” Proceedings of the 2010 ASEE Annual Conference, Louisville, Kentucky, June 2010. https://peer.asee.org/15665[4] S. Berkowitz, M. A. Centeno, M. Groh-Hammond, M. L. Resnck, J. A. Jacko, J. Schmidt, J. Parker, and A. M. Mitskevich, “A.R.I.S.E. Center: Developing Industry Partnerships, Proceedings of the 1999 ASEE Annual Conference, Charlotte, North Carolina, June 1999. https://peer.asee.org/7540 9[5] T. Dallas, T Karp, B. S. Nutter, Y. D. Lie, R. O. Gale, R. Cox, and S. B. Bayne, “University-Industry Partnerships in Semiconductor Engineering
much as it can empower, usingcommon methods guided by a researcher’s position, i.e. narrative smoothing [26] and datacleaning of outliers. Our research intended and unintended consequences. References[1] Milner IV, H. R. (2007). Race, culture, and researcher positionality: Working through dangers seen, unseen, and unforeseen. Educational researcher, 36(7), 388-400.[2] Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research. Handbook of qualitative research, 2(163-194), 105.[3] Campbell, C. M., & O’Meara, K. (2014). Faculty agency: Departmental contexts that matter in faculty careers. Research in Higher Education, 55(1), 49-74.[4] Milner IV, H. R
., vol. 93, no. 3, pp. 223–231, Jul. 2004.[3] M. T. H. Chi, “Active-Constructive-Interactive: A Conceptual Framework for Differentiating Learning Activities,” Top. Cogn. Sci., vol. 1, no. 1, pp. 73–105, Jan. 2009.[4] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 1–6, 2014.[5] C. E. Wieman, “Large-scale comparison of science teaching methods sends clear message,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 8319–8320, 2014.[6] R. Felder and R. Brent, Teaching and learning STEM: A practical guide. 2016.[7] M. Stains et al., “Anatomy of STEM teaching in North American universities,” Science (80
experience in engineering education, several projects in innovation of engi- neering education such as the use of 3D virtual ambiences as a way of developing competences.Prof. Israel Zamora-Hernandez, Tecnologico de Monterrey Israel Zamora-Hern´andez has a B.Sc. in Electronic Engineering from the Autonomous University of Puebla, Mexico. He has a M.Sc. in Digital Systems from Tecnologico de Monterrey. He has been a lecturer in the School of Engineering for over 18 years. His work especializes in attracting new stu- dents to STEM programs at University level. He has directed several teams in the Admissions Office at Tecnologico de Monterrey.Dr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey Dr. Gibr´an Sayeg-S´anchez is
preparinggraduates for new challenges.REFERENCES[1] Chu, P.P., "Integrating Computer Engineering Labs with a ‘Sound Theme’ ", Proceedings 2016 ASEE Annual Conference & Exposition, June 2016.[2] Sheppard, S., et al., Educating Engineers: Designing for the Future of the Field. Jossey-Bass, 2009.[3] Sheppard, S., et al., Educating Engineers: Designing for the Future of the Field. Jossey-Bass, 2009, Book Highlights, http://archive.carnegiefoundation.org/pdfs/elibrary/elibrary_pdf_769.pdf; see Figures 1 and 2 on pages 9-10.[4] Foist, R.B., Xu X., Gage, T., Truitt, S., and Schmidt, M., “A First-Year Electronics Lab Project—Design of Basic Voltmeter plus Soldering Tutorial”, Proceedings 2018 First Year Engineering Conference, June 2018.[5
Characteristics of World-Wide- Web Client Proxy Caches. USENIX Symposium on IT and Systems. Vol. 997. 1997.4. Murlimanohar N, Balasubramonium R, Jouppi N.P. CACTI 6.0: A Tool to Model Large Caches. HP Laboratories, 20095. Todd Austin, SimpleScalar LLC, www.simplescalar.com6. S. Przybylski, M. Horowitz, J. Hennessey. Characteristics of performance-optimal multi-level cache hierarchies. ACM SIGARCH Computer Architecture news, June, 19897. Conte T.M., Hirsch M.A., Hwu W. Combining Trace Sampling with Single Pass Methods for Efficient Cache Simulation. In: IEEE Transactions on Computers, 19988. Sugumar R, Abraham S. Set Associative Cache Simulation Using Generalized Binomial Trees. In: ACM Transaction on Computer Systems, 2005.9
: https://doi.org/10.18260/p.26122[7] H. M. Matusovich, B. E. Barry, K. Meyers, and R. Louis, “A multi-institution comparison of identitydevelopment as an engineer,” in Proceedings of ASEE Annual Conference and Exposition, 2011.[8] A. B. Hunter, S. L. Laursen, and E. Seymour, “Becoming a scientist: The role of undergraduate researchin students’ cognitive, personal, and professional development,” Science Education, vol. 91, no. 1, pp. 36-74,2007.[9] M. R. Kendall, M. Denton, N. H. Choe, S. Member, L.M. Procter, and M. Borrego, “Development ofLatinx students,” IEEE Transactions on Education, vol. 15, no. 3, pp. 1-8, 2019.[10] A. Patrick, L. Martins, M. Borrego, N. Choe, C. Seepersad, and M. Kendall, “Constructing a measure ofaffect towards
-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics 66, 64.[3] Jungst, S., Likclider, L. L., & Wiersema, J. (2003). Providing support for faculty who wish to shift to a learning-centered paradigm in their higher education classrooms. The Journal of Scholarship of Teaching and Learning 3(3), 69-81.[4] Freeman, 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. PNAS, 11(23), 8410-8415.[5] Hattie, J, Biggs, & Purdie, N. (1996). Effects of learning skills
is an assistant professor of civil engineering at Rowan University. His research primar- ily concerns multi-scale geomaterial behavior under coupled processes across various time scales, with emphasis placed on microstructure characterization, constitutive model formulation, and computational geomechanics, for applications in geological storage and energy geotechnics. Prior to joining the Civil and Environmental Engineering Department at Rowan, he worked in the Bureau of Economic Geology at the University of Texas at Austin. At Rowan, he teaches courses in geotechnical engineering and ge- omechanics. He is a recipient of James S. Lai Outstanding Graduate Award from the geosystems group at Georgia Tech
person with a strong technical background can be more convincing when different opinions on a task are raised. A complex capstone project normally requires different technical skill sets, and a single faculty member may not be able to efficiently advise students on all these aspects. Therefore, the faculty advisor needs to help students build a supportive environment by identifying and securing technical supports and advising mentor(s). At the same time, the faculty advisor needs to follow up with the team on advice they received and, when necessary, to step in and make a decision on behalf of the team. For example, when a mentor gives unrealistic guidance, the faculty advisor needs to communicate directly with the mentor
may feel if they have low self-efficacy in this area of engineering and design.Lesson PlanPrep: Structured Practice:• Gather supplies 10 minutes• Fill bucket with water • Collaboration with partner(s). Must present finalGrouping: design before using materials. Have to spend 10• Instruction will be given as an entire group. minutes planning without touching materials. Must build exactly what is on
parameters,” SAE International Journal of Passenger Cars – MechanicalSystems, vol. 8 no. 2015-01-2355, pp. 1128-1136, 2015.[8] L. Fredette, J.T. Dreyer, T.E. Rook, and R. Singh, “Harmonic amplitude dependent dynamicstiffness of hydraulic bushings: Alternate nonlinear models and experimental validation,”Mechanical Systems and Signal Processing, vol. 75, pp. 589-606, 2016.[9] L. Fredette, S. Rath, and R. Singh, “Nonlinear fluid damping models for hydraulic bushingunder sinusoidal or transient excitation,” Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering, vol. 233, no. 3, pp. 595-604, 2019.[10] L. Fredette and R. Singh, “Effect of fractionally damped compliance elements on amplitudesensitive dynamic
education centers: Catalyzing the improvement of undergraduate stem education. International Journal of STEM Education, 5(1), 47. doi:10.1186/s40594-018-0143-2Deci, E. L., & Moller, A. C. (2005). The concept of competence: A starting place for understanding intrinsic motivation and self-determined extrinsic motivation. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 570-597). New York: Guilford Press.Deci, E. L., & Ryan, R. M. (2000). The" what" and" why" of goal pursuits: Human needs and the self- determination of behavior. Psychological inquiry, 11(4), 227-268.Draeger, J. (2013). Why bother with the scholarship of teaching and learning? InSight: A Journal of
conducted to find if the identified gap betweenthe perception of managers and workers can be satisfied. The assuring outcomes show mostparticipants (over 80%) believe managers and workers can find a common ground to reconcile andaddress the differences in their perception (see Figure 2).Exploring workers’ and managers’ responses to the question provide insightful information thatcan shed light on the subject matter. They argued we (i.e., managers and workers) already havecommon ground. In response to the interview question an interviewee mentioned that “Yes, Ibelieve that we already have an overall common ground, no one wants to get hurt or see someoneelse.” A construction worker added that “I believe the manager[s] feel the same way about