. Copyright ASEE Middle Atlantic Regional Conference Delaware April 20-21 2012ConclusionsThis explorative project shows that structural equation model is capable of providingquantitative information on the causative hypotheses/elements such as pre-requisites in asequence of courses. The LISREL software is fairly easy to implement and it is hopedthat the presented results would popularize the application of SEM in engineering andtechnology program pedagogy.AcknowledgementsPartial supports from several CUNY grants are gratefully acknowledged.References1. Bollen KA, Noble MD 2011, “Structural equation models and the quantification ofbehavior”, Proc Natl Acad Sci U S A. 2011 Sep 13;1082. LISREL softwarehttp://www.ssicentral.com/3. Taasoobshirazi, G. and
courses and different instructors. It will help if some simpleformat objectives, skill list for different level courses were created. Spring 2016 Mid-Atlantic ASEE Conference, April 8-9, 2016 GWUReference:[1] L Lin, J. Smith, S. Knittweis. “Combination Unit to Support Instruction in Thermodynamics, Fluid Mechanicsand Heat Transfer”. ASEE 2013 conference proceedings AC2013-6647L.[2] Feisel, and A. Rosa. “the role of the laboratory in undergraduate engineering education”. Journal ofEngineering Education. Jan. 2005. P121-130 Spring 2016 Mid-Atlantic ASEE Conference, April 8-9, 2016 GWU
, B. and Ramage, J. 2003. Energy Systems and Sustainability. Oxford, UK, Oxford University Press. 5. Haldar, A and Mahadevan, S. 2000. “Probability, Reliability and statistical Methods in Engineering Design”, John Wiley and sons, New York. 6. Kuebler R. and Smith, 1976. “Statistics”, John Wiley and sons, Inc. New York.Table 1. Grading Formulas Control group Pretest group (Percent) (Percent)1. Assignments 20 202. Attendance and class participation 10 103. Mid-term examination 30 04.Final Examination 40
University Press. 8. National Research Counci.l. 1989. The Airliner Cabin Environment. Washington D.C., National Academy Press. 9. Environmental Protection Agency. 1995. Stratospheric Ozone Depletion: A focus on EPA’s Research. Washington, D.C. US EPA Office of Research and Development. 10. Haldar, A and Mahadevan, S. 2000. “Probability, Reliability and statistical Methods in Engineering Design”, John Wiley and sons, New York. 11. Kuebler R. and Smith, 1976. “Statistics”, John Wiley and sons, Inc. New York.Table 1. Grading Formulas Control group Pretest group (Percent) (Percent)1. Assignments 25
STUDENT CHAPTERS”, 2008 Annual Conference.8. Rogers, R., Ringenberg, J., and Lachawiec, A. 2008. “To Sink or Swim: Effective Strategies for Maintaining and Nurturing an ASEE Student Chapter”, 2008 Annual Conference.9. Oakes, W., Jones, James D., Boyd, D., Mulkay, E., and Kiesow, R. 1998. “Lessons learned from the First Five Years”, 1998 Annual Conference.10. Haldar, A and Mahadevan, S. 2000. “Probability, Reliabiolity and statistical Methods ihn Engineering Design”, John Wiley and sons,New York.11. Kuebler R. and Smith, 1976. “Statistics”, John Wiley and sons, Inc. New York
to the increased sensitivity to nonnormality of the Shapiro-Wilk test as sample size is increased. Noting that the sum of two Poisson distributions, X 1 and X 2 , is distributedY = X 1 + X 2 and keeping in mind that such a Poisson distribution, Y , with a smalllambda parameter is positively skewed with a small variance, it would not be suprising tosee all the data massed at but two points which would have a S-W p-value well below the0.01 significance level implying departure from normality as can be seen in the followingplot of an empirical density of random Poisson sample with λ =0.50. This is evident in the data-pairs with small λ1 and λ2 . This data tended to haveproportionately small p-values from the Shapiro-Wilk test
, Iowa. The students’ diplomas were signed byPresident David Skorton, and presented by the Dean of the College of Engineering, Dr.Barry Butler.AssessmentStudents are given pre-session and post-session surveys in order to assess theeffectiveness of the program, as well as allow them the opportunity to provide feedbackto the coordinator(s). Students overwhelmingly report positive experiences with theprogram, and often ask for it to be longer. One 2003 ACE Academy student said, “I hadso much fun and gained so much college-life experience. I am so glad I was a part ofthis camp because it really helped me decided that biomedical engineering is almost forcertain what I would like to major in…I had no idea what to expect, but I was pleasantlysurprised
students that each professional program canaccommodate, admission to the individual professional programs is somewhat competitive.Twice a year, each degree-granting department establishes a minimum Core Grade PointAverage (CGPA) required for admission to its program(s) at the end of the semester. Admissionto a specific program is based on the program CGPA requirement in effect during the semester inwhich the student completes the GE requirements.Assessment practices with (frequency of use), purpose of assessment and how it is used inthe GE Department are presented below. These are carried out on a regular basis to monitor thesuccess of the GE program: A Fundamentals of Engineering exam (Twice a year) - to determine if graduates have the
economic contribution upon starting employment with theindustry.References 1. Bagchi-Sen, S., “A Study of University-Industry Linkages in the Biotechnology Industry: Perspectives from Canada,” Intl. Jl. of Biotechnology, Vol. 3, No. 3-4, pp. 390-410, 2001. 2. De Ramirez, L.M., Zayas, J.L, Lamancusa, J., and Jorgensen, J., “Manufacturing Engineering Education Partnership Program Outcomes Assessment Results,” Proc. Of the 27th Frontiers in Education Conf., Part 3, pp. 1196-1200, Pittsburgh, PA, 1997 3. Kelley, F.N., “Productive Partnership in Polymer Education,” Division of Polymer Chemistry, Natl. American Chemical Society Meeting, New Orleans, LA, April 1996.
howengineering solutions impact humanity in the social areas listed above. The course will preparestudents to use knowledge from their respective disciplines for the good of humanity with bothtechnical competence and professionalism.BackgroundEngineering programs at UMD are relatively new, originating in the mid 1980’s with threeprograms that were prescribed to be different from those existing on the Twin Cities campus ofthe University of Minnesota. Our original mix of programs, consequently, was an interestingcollection of Computer Engineering, Industrial Engineering, and Materials ProcessingEngineering, in order to avoid the “traditional” programs that existed in the Twin Cities. As ourprograms have matured, the restrictions imposed by the Twin Cities
growth inSan Diego.Advances in Science and Engineering (S&E) are ever more critical for the U.S. to maintain itsposition of leadership in STEM and keep its competitive edge in the global marketplace5,15, yetthe “new” American dilemma is ever more urgent in the 21st century, given that minorities remainseriously underrepresented in science and engineering, while they are also the most rapidly growingsegment of the population4. As reported in a 2010 report, Expanding Underrepresented MinorityParticipation: America's Science and Technology Talent at the Crossroads5: Underrepresented minority groups comprised 28.5 percent of our national population in 2006, yet just 9.1 percent of college-educated Americans in science and engineering
STUDENT CHAPTERS”, 2008 Annual Conference.8. Rogers, R., Ringenberg, J., and Lachawiec, A. 2008. “To Sink or Swim: Effective Strategies for Maintaining and Nurturing an ASEE Student Chapter”, 2008 Annual Conference.9. Oakes, W., Jones, James D., Boyd, D., Mulkay, E., and Kiesow, R. 1998. “Lessons learned from the First Five Years”, 1998 Annual Conference.10. Haldar, A and Mahadevan, S. 2000. “Probability, Reliabiolity and statistical Methods ihn Engineering Design”, John Wiley and sons,New York.11. Kuebler R. and Smith, 1976. “Statistics”, John Wiley and sons, Inc. New York
Agrawal R. Programming games to learn algorithms. Proceedings of theASEE Conference 2007.3. Bowen J. Motivating civil engineering students to learn computer programming with astructural design project. Proceedings of the ASEE Conference 2004.4. Bundy D. Four steps to teaching C programming. Proceedings of the Frontiers in EducationConference 2002.5. Clough D. Teaching introductory computing to ChE students - A modern computing coursewith emphasis on problem solving and programming. Proceedings of the ASEE Conference2002.6. Clough D, Chapra S and Huvard G. A change in approach to engineering computing forfreshmen - Similar directions at three dissimilar institutions. Proceedings of the ASEEConference 2001
for options. For example, adesign engineer may use brainstorming for all occasions; there can be various reasons for this, Page 22.174.4some of them understandable. First, learning a new method may require some time, further,identifying which method is more appropriate to learn for the particular design problem can bedifficult. The knowledge or expertise to identify which method(s) are most appropriate for eachdesign problem, takes time to develop, and when considering multiple areas or disciplines in thedesign process, one can imagine the difficulty of becoming expert in more than one area (e.g.design quality, design creativity, sustainable
capstone senior design course objectives and outcomes are met, the senior designteams and each student is evaluated by course instructor, faculty advisor(s), two or more in thecase of the multidisciplinary teams, peer evaluation, external sponsors, Mechanical EngineeringAdvisory Council (MEAC) and by senior exit interviews. These evaluations are conductedthrough presentations, reports, staff meeting and Peer self evaluations. Grading rubrics weredeveloped for assessment during the course. It was established to assess the students on the courseobjectives and student outcomes as set forth in the course syllabus. During the two semesters the teams present their project a total seven times. During the 1stsemester the team has three presentations
Transportation Policy: Funding Metro Atlanta’s Transportation Needs, Atlanta Chamber of Commerce, 2010. 2. Goodwill, J. & Hendricks, S. Building Transit Oriented Development in Established Communities. Center for Urban Transportation Research (CUTR). Tampa, FL. November 2002. Helling, Amy. The Effect of Residential Accessibility to Employment on Men’s and Women’s Travel. George State University. Women’s Travel Issues; Proceedings from the Second National Conference. 3. 2007 Atlanta Regional Commuter Survey, 20-County Nonattainment Area, Survey Key Findings. Georgia Department of Transportation 4. Wolf, J. ,Guensler, R. ,Washington, S. & Lawrence, F. Use of Electronic Travel Diaries and Vehicle
design and problem solving throughout theirundergraduate curricula. Findings are drawn from the Prototyping the Engineer of 2020: A 360-degree Study of Effective Education (P360) and Prototype to Production: Processes and Conditionsfor Preparing the Engineer of 2020 (P2P) projects. P360’s qualitative data from six case studiesexamines concrete examples of effective design curricula and co-curricular activities. P2P, whichcollected quantitative data from 31 four-year engineering schools to provide information on thestructure of the design curriculum in nearly 120 engineering programs, augments the qualitativedata from P360. Both projects collected data from multiple sources: faculty, program chairs,administrators, and undergraduate engineering
. Page 15.371.8While the technology readiness level is not linearly related to the rubric scores of capstoneproject demonstrations, when plotted against the TRL the demonstration score, S, has a quadraticdependence given by S = (TRL - 6)-.13 + 3.3. Thus demonstration scores are highest (mean of3.3) for a TRL of 6. This technology readiness level is defined as "Representative model orprototype system, which is well beyond the breadboard tested for TRL 5, tested in a relevantenvironment. Examples include testing a prototype in a high fidelity laboratory environment orin simulated operational environment."11. Thus capstone project which have students createprototype systems generally scored better than those which are more speculative or research
. Sherri S. Frizell is an Associate Professor in the Computer Science Department at Prairie View A&M University (PVAMU). Her research interests include human computer interaction, educational technology, and computer science education. She is very involved in activities to promote the academic and career success of women and minorities in computer science and engineering. Dr. Frizell has served as mentor to minority students participating in the Texas A&M University System Louis Stokes Alliance for Minority Participation (LSAMP) Program and the LSAMP Bridges to the Doctorate Program. She is the recipient of the 2009 PVAMU College of Engineering Outstanding Teacher award. Dr
Education: Perspectives, Issues andConcerns, Delhi, India: Shipra Publications. pp. 419-436.[4] Lohani, V.K., Kachroo, P., Chandrachood, S., Zephirin, T. Loganathan, G.V., & Lo, J.L., (2006). Mechatronicsexperiment in a freshman year course. Proceedings of the 2006 International Conference on Engineering Education(iCEE06), Puerto Rico, July 23-28, 2006, 5 pages.[5] Castles, R., Zephirin, T., Lohani, V. K., and Kachroo, P., (2010). Design and Implementation of a MechatronicsLearning Module in a Large First Semester Engineering Course, Paper to appear in August 2010 issue of the IEEETransactions on Education.[6] Mullin, J., Jinsoo, K., Lohani, V. K., and Lo, J., (2007). Sustainable energy design projects for engineeringfreshman. Proceedings from
you include all design parameters that you will need for your calculations in Task 2 below. 2. Aerodynamics at Cruise: a. Describe a typical high-speed cruise segment for a reconnaissance mission. Create a table summarizing the cruise Mach number, altitude, initial and final weights (most airplanes burn fuel when they fly), range of the cruise segment, and other mission values that are important. You will need to read some of the flight manual information to estimate these weights, ranges, etc. This information will be used to define the reference condition(s) for your aerodynamic analysis. b. Lift at initial cruise weight i.Estimate the lift at the
5.6 6.0 4.8 5.0 5.1 5.1 5.1 5.2 4.5 4.6 4.7 5.0 4.1 4.2 4.3 4.0 3.2 3.0 2.0 1.0 0.0 us r Tou cienc e r. p r. r. r. e r. r. gr. r. b r cul Eng sho Eng m Eng i l Eng Scienc s Eng er Eng al En al Eng tr y La lar Ca
, Berkeley, CA. Wankat, P. C. and Oreovicz, F. S. (1993). Teaching Engineering, McGraw-Hill, Inc.References Burghardt, M. D. (1999). Introduction to Page 17.32.5
. SUBMISSION INFORMATIONProvide the first and last name of each presenter, including affiliations. If there is more than onepresenter, designate one person as the organizer and provide only that person’s contactinformation. The organizer is responsible for communicating to co-presenters.Number of Presenters: 3Presenter Name(s):1) Koller Emma University of St. Thomas2) Van Beek Lauren University of St. Thomas3) Thomas AnnMarie University of St. ThomasContact Person’s Name: AnnMarie ThomasContact Person’s Email: apthomas@stthomas.eduContact Person’s Phone: 651-263-9979 Page 18.5.2Contact Person’s Alternate Phone
, 2013. SUBMISSION INFORMATIONProvide the first and last name of each presenter, including affiliations. If there is more than onepresenter, designate one person as the organizer and provide only that person’s contactinformation. The organizer is responsible for communicating to co-presenters.Number of Presenters: 2Presenter Name(s):1) Last: Farmer First: Cheryl Affiliation: The University of Texas at Austin2) Last Leslie First Arnie Affiliation Tesla STEM High School, Lake WashingtonContact Person’s Name: Cheryl FarmerContact Person’s Email: cheryl.farmer@mail.utexas.eduContact Person’s Phone: 512-471-6196Contact Person’s Alternate Phone: n/a
. SUBMISSION INFORMATIONProvide the first and last name of each presenter, including affiliations. If there is more than onepresenter, designate one person as the organizer and provide only that person’s contactinformation. The organizer is responsible for communicating to co-presenters.Number of Presenters:Presenter Name(s):1) Last: Balesdent First: Chantal Affiliation : Museum of Science, EiE2) Last: McManus First : Shannon Affiliation: Museum of Science, EiE3) Last First AffiliationContact Person’s Name: Shannon McManusContact Person’s Email: smcmanus@mos.orgContact Person’s Phone: 617.589.4296 Page 18.32.2Contact
Paper ID #14373ENGINEERING FACULTY PROFESSIONAL DEVELOPMENT (TRAIN-ING OF TRAINERS) AT RUSSIAN UNIVERSITIESJulia Ziyatdinova, Page 19.12.1 c American Society for Engineering Education, 2015 ENGINEERING FACULTY PROFESSIONAL DEVELOPMENT (TRAINING OF TRAINERS) AT RUSSIAN UNIVERSITIES German S. Dyakonov, Youri Pokholkov, Vasiliy G. Ivanov, Vladimir V. Kondratiev, Julia N. ZiyatdinovaA peculiar feature of Russian engineering education is that the majority of faculty who teachengineering disciplines do not have any pedagogical
diagrams also allow studentsto pan the view port to display different regions of the system, and to zoom the view port todisplay a wider area or to examine a particular region more closely. Figure 4. Example of One-line Diagram Projected on U. S. MapCourse Design and Students’ Evaluation Results 1. Course DesignLoad flow analysis, one of the representative steady-state power system analyses, was performedusing the PowerWorld simulator and simulation results using the advanced visualizationtechniques were incorporated into the Electric Power Systems course (ELEG 3163), which is anundergraduate senior course.The developed pedagogical procedure is shown as follows: a. Some classroom lectures on theoretical basics of load flow
every four hours…”. Assume each teaspoon was pure DEG and calculate the mass of diethylene glycol a patient would have ingested in a day. (b) The probable oral lethal dose of diethylene glycol is 0.5 g/kg weight. Determine the human weight this corresponds to for the dosage given. (c) Explain why this would be dangerous even if the patient was well above this weight. (d) If the total distribution had been consumed according to the quoted dosage guidelines, how many people would have been poisoned? (e) Develop a chronological list showing the error(s), the corrections to them that were not applied, and how the corrections would have
computer engineering curriculum at University of California- Davis. IEEE Transactions on Education, 1994. 37(2): p. 136-146.12. Gibbs, G. and T. Habeshaw, Learning to teach. Powerful ideas in teaching and learning. 1996, Oxford: Oxford Centre for Staff Development.13. Hartley, J. and I.K. Davies, Note-taking: a critical review. Programmed Learning and Educational Technology, 1978. 15: p. 207-224.14. Gibbs, G., S. Habeshaw, and T. Habeshaw, 53 interesting things to do in your lectures. 1988, Bristol: Technical and educational services.15. Ruhl, K., C. Hughes, and P. Schloss, Using the pause procedure to enhance lecture recall. Teacher Education and Special Education, 1987. 10: p. 14-18.16. Hativa, N