. References[1] N. Duval-Couetil, E. C. Kisenwether, J. Tranquillo, and J. Wheadon, “Catalyzing the adoption of entrepreneurship education in engineering by aligning outcomes with ABET,” in ASEE Annual Conference & Exhibition, 2014.[2] J. Gandhi and D. S. Deardorff, “An Implementation of Innovative Thinking in The Entrepreneurship Cur- riculum for Engineers An Implementation of Continuous Improvement in Instilling Innovative Thinking in The Entrepreneurship Curriculum for Engineers,” in ASEE Annual Conference & Exhibition, 2014.[3] J. F. Sullivan, L. E. Carlson, and D. W. Carlson, “Developing Aspiring Engineers into Budding Entrepreneurs : An Invention and Innovation Course,” J. Eng. Educ., no. October
momentum, angular momentum, total mechanical energy, orbital elements Satellite Subsystems overview Overview of electrical power system (EPS), on-board computing (CDH),Week 1 communications (TT&C), attitude determination & control (ADCS), structural and thermal (S&T), ground communication, payload systems Systems Engineering overview PNMSat systems engineering approach, requirements flowdown, mission mapping, N2 chart, components, interfaces, tasks, mission profile, circuit schematics, power
somebody else •Cost. variables but •Small-group •Peer or teacher has created) should or •Environment. not designs). discussion. feedback on should not be adopted •Ethics. •Observations •Whole-class written drafts. in a particular context. •Evidence (observations of discussion. •Read scenarios •Design: A design or from tests. that introduce natural designs) design element, •Human users. the problem. •Tests (planned, which the student(s) •Originality
right approach(es), technique(s), and Correctness, or uses the wrong approach(es), wrong an/or uses the wrong approach(es), approach(es), technique(s), and method(s), and thoroughly answers all Rigor, and technique(s), and method(s) and/or the technique(s), and method(s), and/or the method(s), and/or answers most required parts or questions of the focus Completeness presented solution
, designing solutions, engaging in argument from evidence, and obtaining,evaluating, and communicating information.Table 2 Lesson Day(s) Focus of Whole Class Discussions 1. Introduction of 1 What is engineering?; Introduction to the Engineering Challenge engineering challenge with the client letter 2, 3 Basics of GMOs; Debate for or against regulation of GMO crops 2. Introduction to DNA 4, 5, 6, Structure of DNA and chromosomes using a balloon Structure and Function 7 model and an origami model; DNA extraction lab 3. Genes and Trait 8 Traits of
] Committee on Revitalizing Graduate STEM Education for the 21st Century, Board on Higher Education and Workforce, Policy and Global Affairs, and National Academies of Sciences, Engineering, and Medicine, Graduate STEM education for the 21st century. Washington, D.C.: National Academies Press, 2018.[8] J. L. Lott, S. Gardner, and D. A. Powers, “Doctoral student attrition in the stem fields: an exploratory event history analysis,” Journal of College Student Retention: Research, Theory & Practice, vol. 11, no. 2, pp. 247–266, Aug. 2009.[9] E. Crede and M. Borrego, “Learning in Graduate Engineering Research Groups of Various Sizes,” J. Eng. Educ., vol. 101, no. 3, pp. 565–589, Jul. 2012.[10] E. Horowitz, N. Sorensen, N
multicultural curriculum predict current attitudes and activities," Journal of College Student Development, vol. 51, no. 4, pp. 385-402, 2010.[12] P. Gurin, "Expert Report. "Gratz et al. v. Bollinger, et al." No. 97-75321 (E.D. Mich.); "Grutter, et al. v. Bollinger, et al." No. 97-75928 (E.D. Mich.)," Equity & Excellence in Education, vol. 32, no. 2, pp. 36-62, 09/01/ 1999.[13] S. Hurtado, "Linking diversity and educational purpose: how diversity affects the classroom environment and student development," in Diversity Challenged: Evidence on the Impact of Affirmative Action, G. Orfield, Ed. Cambridge, MA: Harvard Education Publishing Group, 2001, pp. 187-203.[14] C. Herring, "Does diversity pay?: Race
Morals, Values & Ethics - YourMorals.Org.” [Online]. Available: https://www.yourmorals.org/index.php. [Accessed: 04-Feb-2019].[3] J. Graham, B. A. Nosek, J. Haidt, R. Iyer, S. Koleva, and P. H. Ditto, “Mapping the Moral Domain,” J. Pers. Soc. Psychol., 2011.[4] “The Moral Sense Test.” [Online]. Available: http://www.moralsensetest.com/. [Accessed: 04-Feb-2019].[5] “Moral Machine.” [Online]. Available: http://moralmachine.mit.edu/. [Accessed: 04-Feb- 2019].[6] E. Awad et al., “The Moral Machine experiment,” Nature, vol. 563, no. 7729, pp. 59–64, 2018.[7] A. Schleicher, “China opens a new university every week,” BBC, 16-Mar-2016. [Online]. Available: http://www.bbc.com/news/business-35776555
Education Research. Journal of Engineering Education, 100(1), 186-210.2 Montfort, D., Brown, S., & Pollock, D. (2009). An Investigation of Students' Conceptual Understanding in Related Sophomore to Graduate-Level Engineering and Mechanics Courses. Journal of Engineering Education, 98(2), 111-129.3 Linnenbrink, E. A., & Pintrich, P. R. (2003). Achievement goals and intentional conceptual change. In G. M. Sinatra & P. R. Pintrich (Eds.), Intentional conceptual change (pp. 347–374). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.4 Posner, G. J., & Gertzog, W. A. (1982). The clinical interview and the measurement of conceptual change. Science Education, 66(2), 195-209. doi
computational modeling activities areintegral to each educational learning module. When students formulate computational models,they develop understanding by engaging in the theory and observations of a situation. Studentscomplete each educational learning module in about three hours outside of class after they havebeen introduced to the individual topic in lecture(s) and completed a series of homeworkproblems. As students complete an activity, they are encouraged to refer to its correspondinggrading rubric, which conveys expectations of quality across different levels of expertise. Ourpedagogical model can be used to design learning modules for difficult concepts in other STEMsubjects.Keywords: cognitive apprenticeship, pedagogical model, engineering
, L., & Zembal-Saul,C. (2002). Making the case for the use of web-based portfolios in support of learning to teach. The Journal of Interactive Online Learning, 1 (2) 1-19.Barrett, H. C. (2005). Researching electronic portfolios and learner engagement. The Reflect Initiative; Researching Electronic Portfolios: Learning, Engagement, Collaboration, through Technology. Retrieved from http://ww.w.electronicportfolios.org/reflect/whitepaper.pdfBartholomew, S. R. (2017). Assessing open-ended design problems, Technology and Engineering Education Teacher, 76(6), pp. 13-17Bartholomew, S. R., Reeve, E., Veon, R., Goodridge, W., Stewardson, G., Lee, V., Nadelson, L. (2017). Mobile devices, self-directed learning
Differences and the Differences They Make” Journal of Technology Transfer, 31, 325–333, 2006.[2] C. Corbett, & C. Hill. “Solving the equation: The variables for women’s success in engineering and computing”. Washington, DC: American Association of University Women, 2015.[3] L. Babcock, L., & S. Laschever, “Women don’t ask: The high cost of avoiding negotiation and positive strategies for change”. New York, NY: Bantam Books, 2007.[4] C A. Moss-Racusin, J. F. Dovidio, V. L. Brescoll, M. J. Graham, & J. Handelsman, “Science faculty’s subtle gender biases favor male students”. Proceedings of the National Academy of Sciences, vol. 109, no. 41, pp. 16474–16479, 2012.[5] S. Cheryan, S. A. Ziegler, A. K. Montoya, and L. Jiang
Paper ID #27140Impact of a Research Experience Program in Aerospace Engineering on Un-dergraduate Students: Year TwoDr. 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, worked at Argonne National Lab, 1996-1997, taught at Chicago State University, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engi- neering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying
scalefrom 1, very inaccurately, to 7, very accurately. A higher score in each personality trait shows thestudent’s personality is strong in that trait.Grit: This construct was proposed by the psychologist Angela Duckworth and is defined as thepassion and perseverance for long-term goals.13 Grit is usually unrelated or inversely related tointelligence or talent. The two subcategories of grit are consistency of interest and perseverance ofeffort. Perseverance of effort is a superior predictor of GPA while consistency of interest is a betterpredictor of number of lifetime career changes.14 Undergraduates who scored higher in Grit alsoearned higher GPAs than their peers despite having lower SAT scores.13 The Grit-S (short gritscale), which is comprised
). Navigating the bumpy road to student-centered instruction. College teaching, 44(2), 43-47.[4] 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.[5] 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.[6] Trigwell, K., & Prosser, M. (1996). Congruence between intention and strategy in university science teachers’ approaches to teaching. Higher Education, 32(1), 77–87
outreach with underrepresented groups in STEM.Dr. Lauren Anne Cooper, California Polytechnic State University, San Luis Obispo Lauren Cooper earned her Ph.D. in Mechanical Engineering with a research emphasis in Engineering Education from University of Colorado Boulder. She is currently an Assistant Professor in Mechanical Engineering at California Polytechnic State University in San Luis Obispo. Her research interests include project-based learning, student motivation, human-centered design, and the role of empathy in engineering teaching and learning.Dr. Trevor Scott Harding, California Polytechnic State University, San Luis Obispo Dr. Trevor S. Harding is Professor and Department Chair of Materials Engineering at
derivative is the slope of the tangent line; that is, at a fixed point in the domainthe derivative is a linear relationship between displacements in the domain and displacements inthe range: y = f(x) Δy=mΔxFor case 2, the derivative is the tangent vector; that is, at a fixed point, s, in the domain thederivative is a linear relationship between displacements in the domain and displacements in therange 𝐝𝐱(𝐬) 𝐝𝐬 x′(s) ⃗⃗ (𝐬) 𝐝𝐑 𝐝 𝐝 𝐝 𝐝𝐲(𝐬) = 𝐝𝐬 𝐱(𝐬) 𝐢 + 𝐝𝐬 𝐲(𝐬) 𝐣 + 𝐝𝐬 𝐳(𝐬
study focused primarily on short-term outcomes that were specific to relevantcoursework and content, which limits the types of conclusions that can be drawn. Future researchshould explore relevant dynamics in greater detail, including the longer-term effects from suchexperiences, outcomes that extend well beyond the scope of pair programming, the conditionsunder which cross-national groupwork is most effective, and the ways in which these findingsmay or may not be similar for other forms of collaborative learning (e.g., problem-basedlearning, jigsaw classrooms). Qualitative, quantitative, and mixed-method research designswould be helpful for providing an in-depth understanding of these issues.References[1] S. Freeman, S. L. Eddy, M. McDonough
Configuration Parameter(s)Single Dipole Length of dipole (in terms of ) Length of dipole (in terms of ) Distance between dipoles (in terms of )Dipole Array Number of dipoles (3, 5, or 7) Weighting of dipoles (Linear, Binomial, or Exponential) Pattern relative to single dipole antenna Length of dipole (in terms of )Single Dipole above a Flat Height from ground (in terms of )Ground Plane Pattern relative to single dipole antenna
2006-1823: ENGINEERING KNOWLEDGING: CROSSING DOMAINSTom Roberts, Kansas State UniversityJohn Mingle, Kansas State University JOHN O. MINGLE, Ph.D., J.D. Emeritus Professor of Engineering, Kansas State University First started teaching chemical engineering in the late 1950’s and experienced significant changes in engineering education during the 1960 - 70’s. Obtained J.D. in the 80’s, retired from teaching nuclear engineering in the early 90’s and continues to practice patent law. Served as professor and advisor for co-author Roberts in the 60’s-70’s. Page 11.570.1© American Society for Engineering
’ experiences, even theinstructor. Finally, a coherent assessment method for the learning outcomes ofTeaTol concept was presented.AcknowledgementThis material is based in part upon work supported by the National ScienceFoundation under Grant Numbers DUE- 1141238, DUE- 1140664 and DUE- Page 23.532.101141037. Any opinions, findings, and conclusions or recommendations expressed 9in this material are those of the author(s) and do not necessarily reflect the viewsof the National Science Foundation.References[1] Friedman, T.L., 2005, The World Is Flat: A Brief History of the Twenty-First Century. New York
method.Students gain experience in use of the method and can apply learned principles to optimizeoperation of other engineering equipment. Final results of this study does identify favoredpacking material and in what direction the optimum will reside for conditions of temperatureand scrubber liquor caustic concentration.Introduction. Evolutionary Operation (EVOP) is a statistical method developed forincrementally moving a dynamic process in the direction of some optimum operational point.The EVOP method [1] was introduced in the late 1950's as a field application technique forimprovement of existing industrial processes. In the University of Kentucky ChemicalEngineering undergraduate laboratory, students operate a carbon dioxide scrubber to gaintraining
% chance they would change their majors.The survey respondents were very active in student organizations at San José State University(see Table 5). More than 50% of the women survey respondents were active in disciplinarystudent organizations while 21 out of 60 students were involved in the Society of WomenEngineers (SWE). Fewer female students took advantage of San José State University ’s studentsupport activities such as the Learning Assistance Resource Center (20%) and the XXX WritingCenter (13.3%). Table 5. Student participation in academic activities. Answer Options Response Count Response Percent An engineering society (such as American Society of Mechanical Engineers) 34
as it provides high bandwidth access at avery low latency.Fixed Wireless BroadbandFWB access is suitable for fringe areas, metro black spots and sparsely populated areas withsuitable propagation characteristics, i.e. not mountainous. It will rely on 4G mobile technology(IMT advanced) with peek data rates of 1Gbit/s. Latency of the access component of the networkis low by design, i.e. 10ms under ideal conditions. This has been demonstrated in a field trail 20.A factor that could introduce additional, unacceptable latencies is extensive wireless backhaul.For most areas this is not an issues as the proposed network topology largely relies on opticalfibre backhaul.SatelliteAreas that are not covered by FTTH or FWB have to rely on satellite
Graduate Engineering Program.Rosalyn Hobson, Virginia Commonwealth University Dr. Rosalyn S. Hobson is the Associate Dean for Graduate Studies and Associate Professor of Electrical Engineering at Virginia Commonwealth University in Richmond, Virginia where she joined the faculty in 1996. She also serves as the Director of the VCU - University of KwaZulu Natal International Partnership. She received her B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Virginia. She served as a Science and Technology Diplomacy Fellow at the U.S. Agency for International Development (USAID) as a Higher Education Science and Technology Specialist and provides leadership for
. Participate in Participate in Indigenous Project Phase Travel Visits Domestic Activities Participants Initial investigation S, F S, F, PE, DCP, OP B, NGO Design S, F, PE, OP S, F, PE, DCP, OP B, ICP, NGO Pre-implementation S, F, PE, OP, S, F, PE, DCP OP B, ICP, NGO planning DCP Construction S, PE, DCP, F S, F, PE, DCP B, ICP, NGO Closeout S, PE, DCP S, F, PE, DCP B, NGO, ICP Key: “S”= student, “F
embedded JavaScript code that Page 10.242.4 Proceedings of the 2005 American Society of Engineering Education Annual Conference & Exposition Copyright © 2005, American Society of Engineering Educationprevents the student from entering a non-numerical answer where a numerical answer isrequired, and also insures that a non-zero value has been entered in each field.Partial Credit When the C++ program detects an incorrect answer, it reworks the problem from thatpoint forward using the incorrect value(s) submitted by the student. Student answers subsequentto his / her incorrect value(s) are compared to these
secondorder system with the Laplace transformed model. Ayn2 1/ J l ? 2 (0.3) s - 2yn| s - yn s - * d l / J l + s - * K l / J l + 2 2However, the calculation is highly sensitive to measurement errors and fundamentally assumes thatthe system is linear – which it is not. Page 9.1076.6 “Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition
the system on the real-time hardwareA schematic layout of the servomotor is shown in Figure 2. Figure 2. Servo plant schematicFrom the detailed equations describing the electrical and mechanical systems the block diagramrepresentation is obtained as shown in Figure 3. Figure 3. Servo plant block diagramIn the pre-laboratory assignment the student begins the design cycle by obtaining the transferfunction model, controller design, simulation and preparation of the implementation diagram asfollows. The servo plant transfer function neglects the armature circuit inductance θo (s) am
inthe course. Course-embedded direct and indirect student assessment data confirm that the mainobjectives of the course presented herein are met.Bibliography 1. J. Choi, W. Grebski, and K. Dudeck, “The Development of Teaching Materials for an Introductory Course in Electrical and Mechanical Engineering Technology,” Proc. ASEE Annual Conf., 2009. 2. G. Ma, “Innovation Teaching Technique in Introduction to Engineering Technology Course,” Proc. World Congress on Engineering and Computer Science, Vol. 1, 2010. 3. S. Ahuja and A. Ross, “Introduction to Engineering Technology: VSU’s New Approach,” Proc. ASEE Southeast Section Conf., 2005. 4. S. Ahuja, “Math Remediation in a First Semester Engineering