of instruction and stu- dent support. Prior to joining UW-Madison, Wayne directed the Midwest solid waste consulting services of Camp Dresser McKee and led energy conservation research projects for Argonne National Laboratory. He has a BS in engineering from Carnegie-Mellon University, an MS in civil engineering with an emphasis in regional planning from Northwestern University, and is a licensed professional engineer. For more information about UW-Madison’s online graduate engineering degree programs see http://distancedegrees.engr.wisc.edu Page 23.1224.1 c American
.[11] A. Koenig, B.E. Moo, Accelerated C++: Practical Programming by Example, Indianapolis, IN: Pearson Education, 2000.[12] N.S. Nise, “Digital Control Systems,” in Control Systems Engineering 6th ed. Hoboken, NJ: Wiley, 2011, pp. 723-780.[13] D. Ibrahim, Microcontroller Based Applied Digital Control, Hoboken, NJ: Wiley, 2006.[14] M. Buckland, Programming Game AI by Example, Sudbury, MA: Jones & Bartlett, 2005.[15] B. Schwab, AI Game Engine Programming 2nd ed., Boston, MA: Course Technology, 2009. Page 23.737.12
laboratories, government agencies, and extensive industrial and academicinteractions. The CAD modeling team regularly identified materials and then evaluated theresources to create the 3D CAD modules. A B C a DD E F Fig. 3: CAD module examples - (A) combination square , (B) electrical components, (C) automobile subsystem - disc brake, (D) gas turbine combustor, (E) 6 degree-of-freedom robot arm, and (F) gas turbine fan assemblyD. CAD Modules Creation ProcessThe CAD modeling research team (i.e., Department of Mechanical Engineering at
determine the Peruvian market rate of return, RM(Peru). However, based onPeru’s bond rating, it was determined the Peru country risk premium relative to the US was 4%.7Therefore, the rate of return for the Peruvian option was estimated to be 15.2% (11.2% + 4%).Discussion of ResultsNet Present Value (NPV)In using equation (1) to estimate the net present value (NPV) of the plastics company based onits expected net cash flow, it was arbitrarily assumed that the life of the company was 15 yearsgiven that most chemical companies have an average gestation period of 20 years. For the USoption the NPV was $4.6 million (see appendix A) while for the Peru option it was $2.5 million(appendix B). According to the decision rule of NPV, the plastics company
, where all of the wiring isdistributed to the motor controller, actuator, and the photocells. Figure 9 shows the control boxmounted to the solar panel and the divider that separates the photocells. The purpose of thedivider is to cast a shadow on one of the photocells; this causes a difference of output powerbetween photocell A and photocell B, thus sending signals to the actuator motor to move thesolar panel accordingly. Shadow Divider Photocell B Photocell A Control box Figure 9. Control BoxThe microcontroller and bread board are stored inside the control box to keep them out of theoutdoor environment as shown in Fig
profession. Proceedings South Carolina Educators for the Practical Use of Research Annual Conference. Columbia, South Carolina, 2003.18. Oware, E., Capobianco, B. and Diefes-Dux, H.A. Gifted students' perceptions of engineers: A study of students in a summer outreach program. Proceedings of the ASEE Annual Conference and Exposition. Honolulu, Hawaii, June 2007.19. Finson, K.D. Drawing a scientist: What we do and do not know after fifty years of drawings.” School Science and Mathematics. 102(7): 335-345, 2002.20. Medina-Jerez, W., Middleton, K.V. and Orihuela-Rabaza, W. Using the DAST-C to explore Colombian and Bolivian students' images of scientists [Electronic Version]. International Journal of Science and
students to engage in hands-on activities (typically at least a week long.) • Teachers must receive professional development in both content and pedagogy to teach math infused science lessons. • All lessons must be aligned with the Common Core Math Standards and the emerging Next Generation State Standards to assure the lessons have district and school relevance and face validity.What does it look like? In addition to development of decision rules, we created a protocol for infusion ofEngineering into Science activities. This can be found in Appendix A. The Rocket Unit,Appendix B, was the first MISP science unit adapted using this protocol; several more arecurrently under development
. Major Topics: 1. Recognition of Need/Opportunity 2. Problem Formulation: Design Input a. Design in a Regulated Environment: Introduction to QSR and Design Controls b. Primary Biomedical Design Input: Biocompatibility 3. Solution Formulation: Creativity and Innovation 4. Feasibility Assessment 5. Project Management 6. Engineering Analysis and Decision Making 7. Detailed Design: Design Output 8. Construction: Prototyping 9. Testing: Verification and Validation 10. Evaluation No. BME 4800 Course Learning Outcome Corresponding BSBME Program Learning
applicability to their courses. In summary, it was desired that they experienceapplication of the concepts in order to (a) better understand them and (b) be able to betterconceive the potential application of the concepts to their own classroom. Loosely based uponImmersion Experience3, 13, each day involved some class discussion on some aspect ofengineering or the engineering design process. At the end of each discussion, the teachersworked in teams to solve some problem that related to the day's discussion. During the first day,participants were assigned to teams and provided engineering notebooks. Teams are importantbecause an engineer rarely works alone. Thus, participants were given an overview of teamingapproaches and instruction on how to conduct
perplexity, hesitation, doubt; and (b) an act of search or investigation directed toward bringing to light further facts which serve to corroborate or to nullify the suggested belief” [16]. Dewey expands on those key elements in the context of his concept of inquiry, an activity in five steps aimed at restoring an imbalance in the inquirer with the environment. The five steps are “(i) a felt difficulty; (ii) its location and definition; (iii) suggestion of possible solutions; (iv) development by reasoning of the bearings of the suggestion; (v) further observation and experiment leading to its acceptance or rejection; that is, the conclusion of
23.608.7and committed to its community college’s technician education efforts.References1. Florida Department of Education (2012). Florida Career and Professional Education Act (CAPE) Technical Assistance Paper. http:wwwfldoe.org/workforce/pdf/CAPE-Act-TechAssist.pdf.2. Barger, M., Gilbert, R., Owens, E. (2012). Aligning Florida’s Manufacturing Programs with External Standards: Closing the Loops. American Society of Engineering Education (ASEE) Conference Proceedings.3. Barger, M; Gilbert, R., Roe, E. (2007). Engineering Technology Reform in Florida. ASEE Conference Proceedings4. Barger, M; Gilbert, R; Roe, E; Jenkins, B. (2008). Florida Engineering Technology Forum: A Vehicle for Change. ASEE Conference Proceedings.Bibliography1. Hugh, Jack
the KernEntrepreneurship Education Network.Bibliography1. Palmer, B., Terenzini, P., McKenna, A., et al., “Design Context: Where do the Engineers of 2020 Learn ThisSkill?” Proceeding, ASEE Annual Conference and Exposition, Vancouver, BC, Canada, June 26-29, 2011.2. ____The Accreditation Board for Engineering and Technology (ABET): www.abet.org, acceded June 30, 2012.3. Shuman, L. J., Besterfield-Sacre, M. and McGoury, J., “The ABET “Professional Skills”- Can They Be Taught?Can They Be Assessed?” Journal of Engineering Education, Vol. 94, No. 4, January 2005, pp. 41-55.4. ____The National Academy of Engineering, “The Engineer of 2020: Visions of Engineering in the NewCentury,” National Academic P, Washington D.C., 2004.5. ____ News and Notes
(CELT) Instrument through Item Analysis and Comparison to the Critical Assessment Test (CAT). in 2013 Illinois/Indiana - ASEE Section Conference (Angola, IN, in progress).12. Stein, B. & Haynes, A. Engaging Faculty in the Assessment and Improvement of Students' Critical Thinking Using the Critical Thinking Assessment Test. Change 43, 44-49 (2011).13. Center for Assessment and Improvement of Learning at Tennessee Technological University. CAT technical informatiom. (2010). Page 23.1377.9
) Reduce the weight of homework so that more of the grade depends on exams.(b) Place more emphasis on having students design artifacts and less emphasis on having them solveproblems.(c) Use an automated testing system that can randomize parameters, so each student is presented with adifferent problem.(d) Reword questions so that a text search will not find them.(e) Change names of people or organizations named in word problems.(f) Never distribute answers in the same document with questions, and refrain from putting the semesteror year on question or answer sheets; this makes it much harder to match questions with answers.(g) Swap problems with other instructors (e.g., at other institutions).(h) Have students make up problems that can be assigned
0.002% uncertainty. To somestudents, this appears to be a reasonable if not a preferred representation of the final answer. Inan engineering thermodynamics course, this concept is more difficult for students since propertyvalues reported in tables often are specified at 6 significant digits, which can be interpreted as1/500000 or 0.0002% uncertainty. Having property values in thermodynamic tables expressed to6 significant digits, contributes to the students’ perception that more digits are better.Students are expected to learn to estimate uncertainties in laboratory measurements and be ableto propagate these to final reported measurement values. This is expected in ABET1 outcome (b)describing the “ability to design and conduct experiments
, appliances, and personal computers) is an ethics-laden topic associated with the professional activity of many engineers, particularly computerand electrical engineers. In a pilot study, we evaluated 92 writing samples on the topic of wasteelectronics from a range of undergraduate engineering students in an introductory circuits class ata large public research institution. We asked students to read a journal article on wasteelectronics and recycling and then write an essay on what they viewed to be (a) the mostimportant negative impacts of waste electronics on ecosystems and public health, and (b) theengineer’s responsibility in limiting improper disposal of consumer electronics. We thenevaluated these writing samples for several types of literacy
responsibility. V. Lessons LearnedThis paper concludes with reflections on lessons that were learned over the last four years whileattempting to perfect our outreach, recruiting, and retention programs. a) Don’t Lecture - Engage!This simple piece of advice was found early in the implementation of our program in an onlinearticle by Seelman.8 We interpreted this statement as talk less and show more. The pupils willlikely not remember your words, but they will remember the interesting things you show them. b) Don’t Spam the PupilsThere is nothing more time consuming than written and verbal correspondence. After initiallyputting considerable efforts on these activities, we started to realize that there was little responseor evidence that it made much
Skills of First Year Engineering Students”, Journal of Engineering Education, July 2000, pp. 301-307. 4. Guay, R. B., Purdue spatial visualization test: Rotations. West Lafayette, IN, Purdue Research Foundation, 1977. 5. Yue, J., “Spatial Visualization by Isometric Drawing” International Conference on Engineering and Technology, Kean University, NJ, October, 2006. 6. Dong, Y., and El-Sayed, J. A., “Engage Engineering and Science Students By Improving Their Spatial Visualization Skills”, Proceedings of the International Conference for Engineering Education 2011, Vancouver, BC, Canada. 7. Dong, Y., “Lessons Learned in Engaging Engineering Students by Improving Their Spatial Visualization Skills
. Consistent with the definition of Prevention through Design, theylearn to identify potential hazards and design to prevent the occurrences of accidents and injuriesfor the benefit of everyone involved. Factors affecting level of risk include: (a) likelihood of thedangerous event occurring, (b) severity of the potential impact on a person, (c) number of peoplewho might be impacted, and (d) extent to which the impacts are controllable.Two types of risk analysis are discussed in detail. The first examines risks of failure (a system orprocess or device failing to perform as intended)—important in design for reliability. MIL-STD-1629A Failure Mode, Effects, and Criticality Analysis (FMECA) is used to assess reliability.8Students apply the FMECA method to
teaching and instruction. In P.A. Alexander and P.H.Winne (Eds.), Handbook of Educational Psychology, (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.9. Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.), Liberal Education in a Knowledge Society. Chicago, IL: Open Court.10. Scardamalia, M. and Bereiter, C. (2003). Knowledge building. In Encyclopedia of Education, (2nd ed). New York, NY: Macmillan.11. Scardamalia, M. and Bereiter, C. (2006). Knowledge building: theory, pedagogy, and technology. In R. K. Sawyer (Ed.), The Cambridge Handbook of the Learning Sciences. New York, NY: Cambridge University Press.12. Egan, K. (1997). The Educated Mind
, 2006.9. A. M. Locks, and S. R. Gergerman, “Undergraduate Research as an Institutional Retention Strategy: The University of Michigan Model,” in Creating Effective Undergraduate Research Programs in Science: The Transformation from Student to Scientist, ed. R. Taraban and R.L. Blanton, Teachers College, Columbia University, pp. 11-32, 2008.10. A. Hunter, S. L. Laursen, and E. Seymour, “Becoming a Scientist: The Role of Undergraduate Research in Students’ Cognitive, Personal, and Professional Development,” Science Education, DOI 10.1002/sce, 2006.11. J. Stocks, J. Ramey, and B. Lazarus. “Involving Faculty at Research Universities in Undergraduate Researc,” Reinvigorating the Undergraduate Experience: Successful Models
have not yet decided on an engineering major or have a major other than the ones listed. A = BioE B = CoE C = EE D = ISE E = METable 4. Binghamton University engineering major selections as indicated by student survey. Major selections as per survey 2008-2009 2009-2010 2010-2011 2011-2012 BE 23 (12.1%) 26 (12.5%) 9 (8.3%) 24 (12.8%) CoE 16 (8.4%) 23 (11.1%) 23 (21.3%) 24 (12.8% EE 17 (8.9%) 31 (14.9%) 34 (31.5% 30 (16.0%) ISE 48 (25.3%) 62 (29.8%) 11 (10.2%) 43 (23.0%) ME 86 (45.3%) 66 (31.7%) 31 (28.7%) 66 (35.3%)Survey “Factor
quantify those risks in some fashion in order to judge the overall riskassociated with a specific activity or program. A method is proposed here to do that based, ratherloosely, on the format used by the National Fire Protection Association for classifying risk tostructures. That is used to determine how much water should be made available to fight fires inthose structures. This system is designed to determine how much risk management to makeavailable to mitigate risks for specific activities.Consider the following formula.R = TR + TL + H + B + WA + LT + FW + D + L + E + UWhere: R = Risk Number TR = Transportation Risk Factor TL = Travel Risk Factor H = Housing Risk Factor B = Behavioral Risk Factor
molecular dynamics simulation of Poly(n-isopropylacrylamide)(PNIPAM) and graphene oxide (GO). The expected outcomes for her were to: (a) get familiarwith Linux operation system; (b) know chemical structure of Pnipma and GO and use softwareAvagadro to establish the molecule models; (c) study force fields used in molecular dynamicssimulation; (d) use Gromacs in Linux system to run MD simulation and (e) use VMD tovisualize molecular structures and analyze the results. Other teacher participant’s project was onelectrophoresis and electrorotation of biological cells. The manufacturing of electrophoresis andelectrorotation devices were under another faculty’s supervision. The expected outcomes for himare to: (a) understand the mechanism of
unit described in the current paper could be added to RenewableEnergy Sources.To meet energy and sustainability training needs, other engineering programs integrate hands-onenergy content into their engineering curricula via energy-focused design-and-build and capstonesenior projects. For example, Sam Houston State University recently reported completion ofseven energy and sustainability student projects on topics including A) a renewable energy Page 23.173.3trainer, B) an environmentally friendly electric boat, C) a solar-thermal space and water heater,D) design of a self-sufficient residential home, and E) a hybrid wind and solar system. [6
Meaningful Verbal Learning (Grune & Stratton, New York, 1963).9. Wiggins, Grant & McTighe, Jay. in Educative Assessment: Designing Assessment to Inform and Improve StudentPerformance (Jossey-Bass, San Francisco, 1998).10. Atkinson, R. K., Derry, S. J., Renkl, A. & and Wortham, D. W. Learning from examples: Instructional principlesfrom the worked examples research. Review of Educational Research 70, 181-214 (2000).11. Bloom, B. S. The 2 sigma problem: The search for methods of group instruction as effective as one-on-onetutoring. Educational Researcher 13, 4-16 (1984).12. Hake, R. R. Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics testdata for introductory physics courses. American Journal of
, "Development of an on‐line system to help students successfully solve statics problems," in American Society for Engineering Education, 2009. [4] DeVore, Statics Tutor, New Jersey: Prentice‐Hall, 2000. [5] J. Iano, Shaping Structures: Statics, New York: John Wiley & Sons, 1998. [6] ISDC, "BEST Statics," [Online]. Available: web.umr.edu/~bestmech/preview.html. [7] E. Anderson, R. Taraban and S. Roberstson, "M‐Model: A Mental Model based Online Homework Tool," Journal of Online Engineering Education, vol. 1, no. 2, 2010. [8] J. Lux and B. Davidson, "Guildelines for the development of computer‐based instruction modules for science and engineering," Mechanical and Aerospace Engineering, 2003. [9] N. Hubing, D
Institute of Standards and Technology (NIST) Office ofWeights and Measures (OWM) - has been providing train the trainer and adult education coursesand opportunities to our subject matter experts to help them better analyze, design, develop,implement, and evaluate our technical training content. The goal has been to enable students toachieve a higher level of cognition on the Bloom’s Taxonomy scale (e.g., application versusknowledge). Highlights of the key resources that have been incorporated into the instructionaldesign process are presented as potentially useful for the professional development of instructorsthis is particularly useful for instructors without a background in educational theories andmodels. Some highlights of instructional design
objectives to describe the testing methods and typical responses ofcommon materials as well as to apply the concepts of capacity fade mechanisms to identifymethods to increase the service life of a battery were covered near the end of the semester. Thestudents receiving graduate credit for the course had a homework assignment specific to the topicof capacity fade mechanisms. The average grade for this assignment was a B+, which is why it isbelieved that it was the graduate students’ responses that were on the higher end of theconfidence ratings in the ability to meet this objective. The objective with the lowest confidencerating was in the ability to describe testing methods and typical responses of common materials.As this topic was covered near
Page 23.798.8 b. Impulse delivered using experimental test data from a typical A8-3 Estes rocket motor [obtained in the senior thermodynamics course – described below]; and5. Determination of model prediction sensitivity to assumptions regarding rocket payload weight including: a. Assuming constant rocket weight, or b. Accounting for mass fuel burnFor their baseline model, students assume constant rocket mass and constant step input (squarepulse) thrust for the rocket. Using Newton’s second law, the governing differential equation is dv m T W FD v (2) dtwhere m is