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
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
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
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
compared to a 51% pass rate for students not in the AURAS seminar, and have a droprate of 0% compared to a drop rate of 18% for students not in the AURAS seminar.Fall 2010, Spring 2011 & Fall 2011 compositeCourse A B C Pass D F I Q W Drop TotalMath 1323* ESP 5 16 6 56% 3 8 0 0 10 21% 48Math 1323* non-ESP (1) 13 14 24 35% 10 34 0 3 48 35% 146Math 1323* non-ESP (2) 57 84 96 42% 62 108 1 8 146 27% 562Math 1426 ESP 15 14 12 80% 8 0 0 0 2 4% 51Math 1426 non-ESP (1) 17 34
theproducts. It is important to introduce the mechatronics technology and its practices into theundergraduate curriculums to prepare students with the knowledge and experience needed forthem to seek employment in the areas of product design and development and in high techmanufacturing facilities.Digilent Inc.’s microcontrollers: ChipKIT uC32 and chipKIT Max32 were being utilized by thestudents to design mechatronics products such as apple collecting robots and robotic armmanipulators that have been widely used in production lines. Students learned valuable knowledgebeyond their traditional disciplines as product design has become a multidisciplinary field thatrequires members in a design team to posse knowledge in other fields so they can
, 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
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
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
into one Class,” Proceedings American Society for Engineering Education 2011 AnnualConference, Vancouver, BC, Canada, June 26-29, 2011.4 Klingbeil, N., Newberry, B., Donaldson, A. and Ozdogan, J., (2010) "The Wright State Model forEngineering Mathematics Education: Highlights from a CCLI Phase 3 Initiative," Proceedings of the 2010 ASEEAnnual Conference & Exposition, Louisville, KY, June 2010.5 Schneider, K., Schluterman, H., Cassady, R., “A First-Year Experience Course Sequence for EngineeringStudents at the University of Arkansas,” Proceedings of the 2009 Midwest Section Conference of the AmericanSociety of Engineering Education, Lincoln, NE, Sept. 16-18, 2009.Proceedings of the 2013 Midwest Section Conference of the
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
world class faculty trained as postdoctoral research associates and industry research and development-experienced hires, primarily from leading North American and EU universities, government labs and industrial research and development centers. Maintaining their competitiveness on global scale requires optimization of substantial start-up investment;b. The desire (and a reasonable standard in the era of globalization) of the KUSTAR faculty and leadership is to enable and provide access of our students and faculty to world class user research facilities (such as nanofabrication foundries, US national laboratories, materials characterization facilities and similar) through exchange and internship programs, and such globally mobile
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
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
. She was recently recognized by the Bagley College of Engineering with the 2013 Career Award. She has also been recognized at MSU with the 2001 Outstanding Faculty Woman Award, a 2001 Hearin Professor of Engineering award, and the 1999 College of Engineering Outstanding Engineering Educator Award.Dr. Hossein Toghiani, Mississippi State University Dr. Hossein Toghiani is the Thomas B. Nusz Endowed professor and an associate professor of Chemical Engineering at Mississippi State. He received his B.S.Ch.E., M.S.Ch.E., and Ph.D. in Chemical Engi- neering from the University of Missouri-Columbia. A member of the Bagley College of Engineering Academy of Distinguished Teachers, Dr. Toghiani has taught a variety of courses
Spirit of St. Louis will be not to follow the sameflight plan as the original Ryan NYP, but it rather retains the path-finding long-range design-challenge. Decades apart, the electric aircraft will generate new ideas that can alter the course ofaviation, just as the Spirit of St. Louis. The Ryan NYP had unique design features that allowed itto cross the Atlantic Ocean in a non-stop flight. In analogy, a unique long-range electric aircraftwill challenge the development of electric propulsion and its integration into modern aircraft.This paper documents the conceptual design performed by UTA’s senior design capstone class based on a preceding research forecasting study by the AVD Laboratory, overall identifying afeasible electric aircraft mission
group. Appendix A shows asummary of the schedule of activities for the 2009 Math Jam, and Appendix B the schedule from2010 to 2012. All Summer Math Jam sessions were held from 9:00 a.m. to 3:00 p.m., Mondaythrough Thursday during a two-week period that coincided with Cañada College’s break betweenthe end of the spring semester and the beginning of the summer term. Morning and afternoonsessions were devoted to studying math either in groups or individually using MyMathTest,11 anonline system developed by Pearson Education for developing math placement tests and shortmath refresher programs. Workshops related to resources and skills needed for college successare offered in the afternoon. As a result of a 2009 mid-program focus group, which
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