thoughtthat they had learned how to learn better, which would lead to better retention of students withinengineering and lead to better students overall. The complete syllabi and homework for the two semester course is available at:http://www.che.arizona.edu/Directory/Faculty/Blowers/ENGR196b/index.htmReferences:1. Brown, N. W. and E. J. Cross, Jr., "Descriptions of Self and Engineers by Male Engineering Students", Psychol.Rep., 78, 179-186 (1996).2. Butler, B. R., and W. K. LeBold, "Introducing Freshmen to Engineering: A Model Course", Engr. Educ., 739-742, April (1979).3. databytes, By the Numbers, ASEE Prism, 14, Sept. (2000).4. Levinson, A., Associated Press, August 29, 2000, "Average Math SAT Score Highest Since 1969,http://edreform.com
. The incorporation of the novel isalso intended to foster appreciation for non-technical studies as well as the interpretive skills thatserve those studies, and this instructor would be quite pleased to cultivate an appreciation forliterature as an end in itself.References [1] E. Burton, J. Goldsmith, and N. Mattei, “How to teach computer ethics through science fiction,” Commun. ACM, vol. 61, no. 8, p. 54–64, Jul. 2018. [Online]. Available: https://doi.org/10.1145/3154485 [2] J. Schummer, B. MacLennan, and N. Taylor, “Aesthetic values in technology and engineering design,” in Philosophy of Technology and Engineering Sciences, A. Meijers, Ed. North Holland, 2009, section 4; author Bruce MacLennan. [3] S. Zilliox, J. Smith, and C
, B. Chen, J. Jannotti, and M. Kaashoek. The click modular router. ACM Transactions on Computer Systems (TOCS), 18(3):263–297, 2000.[4] J. Loddo and L. Saiu. Status report: Marionnet — How to implement a virtual network laboratory in six months and be happy. In Proceedings of the ACM SIGPLAN Workshop on ML, pages 59–70. ACM Press New York, NY, USA, 2007.[5] J. Loddo and L. Saiu. Marionnet: a virtual network laboratory and simulation tool. In SimulationWorks, 2008. Page 14.139.7
, 1994.2. Clark, Kim B., and Steven C. Wheelwright, Managing New Product and Process: Development: Textand Cases, Free Press, New York, 1993.3. Dieter, George E., Engineering Design: A Materials and Processing Approach, McGraw-Hill, NewYork, 1991.4. Dixon, John R., and Corrado Poli, Engineering Design and Design for Manufacturing, Field StonePublishers, Conway, Mass., 1995.5. Dyer, William G., Team Building: Issues and Alternatives, 2nd cd., Addison-Wesley, Reading, Mass.,1987.6. Ettlie, John E., and Henry W. Stoll, Managing the Design-Manufacturing Process, McGraw-Hill, NewYork, 1990. Page 1.120.4
, routing of piping andelectrical condui~ and pump selection could be made. The system design includes a PC based data acquisition system which monitors all major pressures, temperatures Instrumentation and flows. b the gas turbine the compressor inlet and discharge pressures and temperatures are measurd also,Computer (PC) based instrumentation was chosen for this the turbine inlet temperature is monitored. Stackcogeneration project. That is to say, information or input emissions will be continuously monitored with particularfrom each of the instruments will be
coefficient C D = Df (q 0S) Df: drag force 3 Dynamic pressure q 0 = 0.5ρV0 2 ρ: density of air 4 Lift force Lf = C L q 0S q0: dynamic pressure of air 5 Reynolds Number Re = Vb v V: free-stream velocity v: viscosity of air b: characteristic length 6 Mach Number Ma = V a a: speed of sound
Spreadsheet5) Discussion of VariablesDepending on the depth desired, several categories of potential variability can be discussed.Categories typically include a) geometric aspects of the viscometer used, b) temperature effectson apparent viscosity, and c) concepts associated of Newtonian behavior.a) Within the category of geometric and dimensional aspects of the viscometer, examinations canbe undertaken on the effects of cup speed accuracy and precision, the impact of measurementaccuracy and precision of cup and drum diameter, and the effect of degree of lever rotation on theforce transmission vector. The use of a spreadsheet to examine these variables makes this astraightforward exercise for most students. Through manipulation of each variable
15.692.5effectively.Bibliography 1. BOYER, E.L. (1995) Assessing Scholarship, ASEE Prism, 4, pp. 22-26. 2. BROOKS, R., MADJAR, A., MILLER, W., TAKKALAPELLI, K. Finite Element Method - A Tool for Learning Highway Design, 2008 ASEE Annual Conference, Pittsburg, PA 3. BROOKS, R., AYRANCI, B., TAKKALAPELLI, K. Improvement of Graduate Students’ Performance in Design, Discovery, and Learning. 2009 ASEE Annual Conference, Austin TX 4. KIM, S.K. (1990) Essence of Creativity: A Guide to Tackling Difficult Problems (Oxford, Oxford University Press). 5. ROSS, M.L. & TAHER (Eds) (1967) Explorations in Creativity (New York, Harper & Row). 6. SHALLEY, C.E. (1991) Effects of Productivity Goals, Creativity Goals, and Personal
for Engineering Education Annual Conference & Exposition Copyright ø 2004, American Society for Engineering Education”Figure 1: This figure shows the four AT devices developed by students in 2002-2003: self-lowering shelf assembly (A), motorized rotating tabletop (B), portable powered window opener(C), and motorized reach mechanism (D).AcknowledgmentsThis project was supported by a course development grant from the National CollegiateInventors and Innovators Alliance (NCIIA). Page 9.240.6 “Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition
Process ofReaching Goals” Crisp Publications Inc3 Burnette, C. 1982 A Role Oriented Approach to Problem-Solving. In Olsen, SA., (Ed), Group Planning andProblem Solving: Methods in Engineering Management. New York, NY John Wiley & Sons4 Buzan, T. 1993 The Mind Map Book, New York, NY Penguin Group5 KAPKE, B. Allen, P., Bearne, A. & Smith, R. 1977 Energy Matter and Form: Toward a Science of ConsciousnessBoulder Creek, CA University of the Trees Press6 Wronecki, James A. 1999 The IdeasA+ Design Process, The University of the Arts Page 9.680.6 “Proceedings of the 2004 American Society for Engineering
whileextending the use to the larger web-based community.Bibliography1. "Computer Supported Co-operative Product Development Using a Process- based Approach". In The Design Productivity Debate, Alex H. B. Duffy (ed.), Springer-Verlag Berlin, 19982. Blessing, L.T.M., 1994, Process-Based Approach to Computer Supported Engineering Design, Thesis, University of Twente, the Netherlands3. Yankemovic, K.C, Burgess and Conklin, E. Jeffrey, 1990, "Report on a Development Project - Use of and Issue-Based Information System", Proceedings of the Conference on Computer Supported Cooperative Work, October 7-10, Los Angeles, CA, Assoc. for Computing Machinery, New YorkEDWARD H. MCMAHONDr. McMahon is a Professor of Engineering at the University of Tennessee
scientific articles, and has completed courseworkfor a teaching degree in secondary science education (at Elmira College.) He is the leader of the UpstateNew York Operation Chemistry ACS Outreach team and holds a B. Sc (with honors) from the College ofChemistry, University of California at Berkeley, and both an M.Sc. and Ph. D from the University ofMichigan at Ann Arbor, in Physical Chemistry.Arnold PeskinArnold Peskin is a Senior Scientist and past Head of the Information Technology Division at BrookhavenNational Laboratory. He is also the Deputy Head of Brookhaven’s Center for Data Intensive Computing.His primary research interests are scientific data visualization and collaborative computing environments.Mr. Peskin is a Senior Member of the IEEE
Young of JPL for their assistance in this project. This work has beensupported by JPL under the grant #96053.Reference1. M.C. Robbins, B. Usevitch and S.A. Starks, “Minority Universities SystemsEngineering Program at the University of Texas at El Paso,” in NASA UniversityResearch Centers Technical Advances in Education, Aeronautics, Space, Autonomy,Earth and Environment, M.Jamshidi (Ed.), pp. 617-621, 1997.Biographical InformationSCOTT A. STARKS, Professor of Electrical and Computer Engineering, received a Ph.D. in ElectricalEngineering from Rice University in 1978 and a BSEE from the University of Houston in 1973. Inaddition to his faculty duties, Dr. Starks serves as Director of the Pan American Center for Earth &Environmental Studies
began an apprenticeship in civil engineering in theoffice of John B. Hande.1868Began work in railway engineering with the Blue Ridge Railroad in South Carolina.1873-1876When the depression of 1873 temporarily halted railway building, he turned to research andpublished Methods for the Computation from Diagrams of Preliminary and Final Estimates ofRailway Earthwork.1876He expanded some short articles he had published into “Justification Expenditure for Improvingthe Alignment of Railways,” Railroad Gazett, Sept. 1-Dec. 29, 1876. Page 4.232.11877Published the first edition of The Economic Theory of Location of Railways, a 200 page book.1878Married
assemble the apparatus, prepare a test sample, place the sample in the apparatus, add loads, witness the deformation of the sample, determine soil parameters from the test results and use her/his test results in a practical scenario.ô Each student is tested on (a) prior knowledge that is relevant to each test (b) learning outcomes from the laboratory exercise and (c) application of his/her results to a practical scenario.ô It provides immediate feedback, performance evaluation and help.ô It has a quiz to test retention of basic concepts. The instructional methods and steps follow those proposed by Gagné (1985) and Clark(1989). These include: gaining attention, informing students of the objective
Session Engineering Statistics as a Laboratory Course Charles R. Standridge, Jon H. Marvel Grand Valley State UniversityAbstractHighly influenced by the reform movement in general introductory statistics courses, we havedeveloped and are continuing to improve a laboratory-based course introducing engineeringstatistical methods as well as their applications to product, process, and operations issues.Report writing and technical work are equally emphasized in the laboratory experience. Thecompanion lecture introduces statistical methods via co-operative learning
B Figure 4: Overall layout of the laboratory A. The CNC Mill. B. The variable speed, reversible conveyor with eight photoelectric sensors located along one side with two mirrors located along the other. C. Smart cameras mounted above the conveyor. D. RFID read/write head. The IDENT controller is not visible in this picture. E. The student built PLC control cabinet.A summary in chart form of the successes and failures are given in chart 1.System Successes Failures Teach
. Wigfield, A. and J.S. Eccles, Expectancy–value theory of achievement motivation. Contemporary educational psychology, 2000. 25(1): p. 68-81.28. Lewin, K., Force field analysis. The 1973 Annual Handbook for Group Facilitators, 1946: p. 111-13.29. Burnes, B. and B. Cooke, Kurt Lewin's Field Theory: A Review and Re‐evaluation. International journal of management reviews, 2013. 15(4): p. 408-425.30. Hirschman, A.O., Development projects observed. 2014: Brookings Institution Press.31. Sirkin, H.L., P. Keenan, and A. Jackson, The hard side of change management. Harvard business review, 2005. 83(10): p. 108.32. Waychal, P., et al., Towards a framework for innovations. International Journal of Business Excellence, 2011. 4(5
to meeting the aerospace industries workforce development needs, a studentsatellite program provides students with an opportunity to complete “real” engineering projectswhile working on multidisciplinary teams.References Cited 1. http://ssp.arizona.edu/sgsatellites, accessed: January 3, 2005. 2. Wallace, C. 2004, “High Altitude Balloons: Providing a Cost Effective Testbed for CubeSats,” 18th Annual AIAA/USU Conference on Small Satellites, Logan, UT, Aug 8, 2004. 3. Blamont, J., 2001, “History and perspectives of scientific ballooning,” Proceedings of the 15th ESA Symposium on European Rocket and Balloon programmes and Related Research, Biarritz, France, ESA SP-471, 28-31 may 2001, Warmbein, B. (ed
. Kang, and P. A. Fishwick, eds. pp. 1595 -1601 7. Newberry, B and Farison, J. 2003, “A Look at the Past and Present of General Engineering and Engineering Science Programs,” Journal of Engineering Education, July 2003, pp.217-226. 8. Roberts, C. and Gosh, S., 2004, “A Proposed Model for an Undergraduate Engineering Program In Modeling And Simulation,” Proceedings of the 2004 SCS Western Multi-Conference on Simulation in Education, San Diego, CA. 9. Rogers, R., 1997. “What makes a modeling and simulation professional?: The consensus view from one workshop,” In Proceedings of the 1997 Winter Simulation Conference. Piscataway, NJ: Institute of Electrical and Electronics Engineers. 10
of 39.9 % is academically disengaged, i.e. report feeling bored in class, and spendless than six hours a week doing homework. Another record breaking 62.6% of students werefrequently late to class and 36.2% frequently missed class. An interesting point is that, whenasked to rate themselves on intellectual self-esteem and academic and leadership ability, over54% of students rated themselves as above average or in the top 10%. Fifty percent of themexpect to make at least a B average. Grade inflation at the high school level rather than actualperformance has been suggested as the reason for this high level of confidence. [14]These statistics for freshmen provide us with some insight into the pressure students at all levelsface and in particular
pressurized steel cylinders, or can be generated using permeation tubes. Thefrequency of calibration must be determined after observing the operating characteristics of theinstrument under field conditions. Very stable instruments may need secondary calibration onlyseveral times each week, while unstable instruments may require secondary calibration severaltimes per day.8. Choosing a Data Recording Method: The recording methods available include (a) continuousstrip chart recorders, (b) scanning analog or digital electronic data loggers, and (c) manual datarecording by the instrument operator. The data recording method used depends primarily on thetype of air sampling method employed. When using continuous analyzers, strip chart recordersor scanning
. Dereskei, B. (1998, August 15). A graduate student Internship at Merck Chemical Company [WWW document]. URL http://www.uta.edu/cos/SNS97Web/Bela.html, p. 1.7. University of Texas at Arlington (1998, August 18). Former Students [WWW document]. URL http://utachem.uta.edu/html/former_studnents.html, p. 1-2.8. Undergraduate Catalog 1998 -99. (1998). Portland, ME, University of Southern Maine.9. Marshall, J. (1998). Professional Internship Portfolio. Unpublished manuscript, University of Southern Maine, Gorham, Maine. Page 15.989.12 Table 1 - Major Portfolio SectionsA. Table of ContentsB. Credentials 1
20 10 0 A B C D overall Control Lab Performance Outcome Figure 5. Students showed modest improvement in one experiment. Figure 6 summarizes student performance on a remotely accessed solar energyexperiment conducted in Heat / Power (MET 220) during Fall of 2004. Approximately 75students participated in this preliminary evaluation. The results were even more disturbing thanwith the control lab. Although the overall scores were higher (~ 55% correct), studentperformance decreased approximately 4% between pre and post test. Taken at face value, thisundesirable result suggests that
: A Study of the Impact ofEC2000. 2006: ABET. http://www.abet.org/papers.shtml, accessed.9. R. Martin, B. Maytham, J. Case and D. Fraser, Engineering graduates' perceptions of how well theywere prepared for work in industry. European Journal of Engineering Education, 2005. Vol. 30, No. 2, pp. 167-180.10. N. Spinks, N. Silburn and D. Birchall, Educating Engineers for the 21st Century: The Industry View,Henley, England: Henley Management College, 2006.11. V. K. Domal and J. P. Trevelyan. Comparing Engineering Practice in South Asia with Australia. inAmerican Association for Engineering Education (ASEE) Annual Conference. 2008. Pittsburgh.(submitted forreview).12. A. Enshassi and A. Hassouna, Assessment by employers of
AC 2012-4703: A MODEL FOR DIVERSITY AND EQUITYDr. Sylvanus N. Wosu, University of Pittsburgh Sylvanus Wosu is the Associate Dean for Diversity Affairs and Associate Professor of mechanical engi- neering and materials science at the University of Pittsburgh. Wosu’s research interests are in the areas of impact physics and engineering of new composite materials, dynamic problems in composites failure, and energy containment and responses of dynamical systems. Wosu is also interested in engineering edu- cation with particular interests in development models for effective recruitment, retention, and mentoring of women and under-represented students. Other research interests include experimental investigation of the
. Oxford University Press. ● Presumed Incompetent "Networks of Allies" (Chapters 15-19). y Muhs, G. G., Niemann, Y. F., González, C. G., & Harris, A. P. (Eds.). (2012). Presumed incompetent: The intersections of race and class for women in academia. University Press of Colorado. ● Presumed Incompetent, “Lessons from the Experiences of Women of Color Working in Academia" (Chapter 30). y Muhs, G. G., Niemann, Y. F., González, C. G., & Harris, A. P. (Eds.). (2012). Presumed incompetent: The intersections of race and class for women in academia. University Press of Colorado. ● Reflections on Women and Race, Leslie Traub, featuring Dr. Johnnetta B. Cole, Allison Manswell, Rosalyn Taylor O’Neale, Kimberly Rattley
engineering programs was performed by the authors,the results of which are reported in this paper. As implied in the survey question (“our generaleducation program satisfies the minimal accreditation requirements”), a common perception isthat professional-school accreditation requirements (a) constrain the creative development ofgeneral education programs and (b) are concerned only with the number of humanities and socialscience courses in a general education program. Indeed, previous reviews of general educationprograms have tended to focus on the percentage of the curriculum that is devoted to non-technical topics, as well as on particular kinds of courses (e.g., English, History, Philosophy,etc.). However, educational trends both inside the
-analysts.REDAed 11/07/2021.[2] Hughes, B. E., & Schell, W. J., & Tallman, B., & Beigel, R., & Annand, E., & Kwapisz, M.(2019, June), Do I Think I’m an Engineer? Understanding the Impact of Engineering Identity onRetention Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida.10.18260/1-2--32674[3] Rand.org/education-and-labor/Grit Score, accessed 11/07/2021[4] A. Duckworth, C. Peterson, M. Matthews, and D. Kelly. “Grit: Perseverance and Passion forLong-Term Goals,” Journal of Personality and Social Psychology, vol 92, no. 6, p. 1087– 2007.[5] Goseva-Popstojanova, K., & Hensel, R. A. (2021, July), Educating the Next Generation ofCybersecurity Experts Paper presented at 2021 ASEE Virtual Annual Conference
, but at different levels”. They suggested that when developing a curriculum for aprogram “you come up with the degree program and then that becomes the individual degreecourses”.A synthesis of the findings which emerged from the data analysis has enabled us to propose adefinitional framework for curriculum that is set out below.Proposed curricular definitional frameworkOur proposed curriculum definitional framework includes three principal and separatecomponents: (a) a designed object – the official-curriculum, (b) a process of design fromwhich the official-curriculum, that is the written curriculum, and curriculum-in-use, that isthe implemented curriculum, are outputs, and (c) the notion that official curricula for aprogram and its