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Displaying results 181 - 210 of 1025 in total
Conference Session
Capstone Design Pedagogy II
Collection
2010 Annual Conference & Exposition
Authors
Noe Vargas Hernandez, The University of Texas at El Paso; Jose Davila, University of Texas, El Paso
Tagged Divisions
Design in Engineering Education
”, Routledge, Taylor & Francis Group, 1997. 2- Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R., 1956, Taxonomy of Educational Objectives: The classification of educational goals. Handbook I: Cognitive domain. New York: David McKay. 3- Dym, C. L., Agogino, A., Eris, O., Frey, D., Leifer, L.; “Engineering Design Thinking, Teaching, and Learning”, Journal of Engineering Education, January 2005, pp. 103-120. 4- Eastman, C., McCracken, M., Newstetter, W.; “Design Knowing and Learning: Cognition in Design Education”, Elsevier, 2001. 5- Eder, W. E., Hosnedl, S.; “Design Engineering: a manual for enhanced creativity”, CRC press, , Taylor & Francis Group, 2008. 6- Eder, W. E
Conference Session
New Research & Trends for Minorities in Engineering
Collection
2010 Annual Conference & Exposition
Authors
Christina White, Columbia University; Richard Crawford, University of Texas at Austin; Kris Wood, University of Texas; Austin Talley, University of Texas, Austin
Tagged Divisions
Minorities in Engineering
Manchester, United Kingdom. Retrieved 6 December 2007 from http://www.ineer.org/Events/ICEE2002/Proceedings/Papers/Index/O065-O070/O069.pdf.5. Eccles, J.S. (2007). Where are all the women? Gender differences in participation in physical science and engineering. In S. J. Ceci & W. M. Williams (Eds.), Why aren't more women in science? Top researchers debate the evidence (pp. 199-212). Washington, DC: American Psychological Association.6. Eccles, J. S.(1994). Understanding women’s educational and occupational choices — Applying the Eccles et-al model of achievement-related choices. Psychology of Women Quarterly, 18, 585–609.7. Felder, R. & Brent, R. (2005). Understanding student differences. Journal of Engineering
Conference Session
NSF Grantees Poster Session
Collection
2010 Annual Conference & Exposition
Authors
Shane Brown, Washington State University; Dean Lewis, Washington State University
. K.C. Midkiff, T.A. Litzinger, and D.L. Evans, Development of Engineering Thermodynamcis Concept Page 15.1125.8 Inventory Instruments, in ASEE/IEEE Frontiers in Education Conference. 2001: Reno, NV.5. A. Disessa, Toward an epistemology of physics. Cognition and Instruction, 10(2/3): p. 105-125. (1983).6. S. Vosniadou, On the nature of naive physics, in Reconsidering Conceptual Change: Issues in Theory and Practice, M. Limon and L. Mason, Editors. 2002, Kluwer: Netherlands.7. F. Treagust and R. Duit, Conceptual Change: a discussion of theoretical, methodological and practical challenges for science education
Conference Session
Design with External Clients
Collection
2010 Annual Conference & Exposition
Authors
William Cross, South Dakota School of Mines and Technology
Tagged Divisions
Design in Engineering Education
experience contributed to more immediate student buy-in tothe use of system’s engineering principles. Also, members of the samurai-type sword groupsbeing substantially similar to the previous year meant that many group dynamics issues hadalready been worked through. For the NASA ESMD group, there were only 3 seniors in theeight students and, as the project was new, no prior directly-relevant design knowledge existedwithin the group. This resulted in longer time for student buy-in to occur and for the group Page 15.904.7dynamics to become settled. Also, the previous group development in the samurai-type swordgroups had led to the natural leader(s
Conference Session
Trends in Mechanical Engineering II
Collection
2010 Annual Conference & Exposition
Authors
Peter Baumann, Central Connecticut State University; Nidal Al-Masoud, Central Connecticut State University
Tagged Divisions
Mechanical Engineering
indispensible ingredients of a successful career in engineering, thusfulfilling some of the program educational objectives.Bibliography 1. Schuster, P., Davol, A. and J. Mello, “Student Competitions - The Benefits and Challenges,” Proceedings, 2006 ASEE Annual Conference (Washington, DC: American Society for Engineering Education, 2006). 2. Pierrakos, O., Borrego, M. and J. Lo, “Assessing Learning Outcomes of Senior Mechanical Engineers in a Capstone Design Experience,” Proceedings, 2007 ASEE Annual Conference (Washington, DC: American Society for Engineering Education, 2007). 3. Davis, D. C., Crain Jr., R. W., Calkins, D. E., Gentili, K. L., and M. S. Trevisan, “Competency-Based Engineering Design Projects
Conference Session
Understanding and Measuring the Impact of Multidisciplinarity
Collection
2010 Annual Conference & Exposition
Authors
Scott Schaffer, Purdue University; Daniel Gandara, Illinois Institute of Technology; Xiaojun Chen, Purdue University; Margaret Huyck, Illinois Institute of Technology; Jill May, Illinois Institute of Technology
Tagged Divisions
Multidisciplinary Engineering
measure. The researchers intend to collect more data for thenext revision of the measure. We encourage future researchers to validate the CDFS for similarcross-disciplinary teams use.Bibliography1. Solomon, G. (2003). Project-based learning: A primer. Technology and learning - Dayton, 23(6), 20-20.2. Fruchter, R., & Emery, K. (1999). Teamwork: Assessing cross-disciplinary learning. Paper presented at the 1999 Computer support for collaborative learning Conference, International Society of the Learning Sciences.3. Agogino, A., Song, S., & Hey, J. (2007). Triangulation of Indicators of Successful Student Design Teams. International Journal of Engineering Education, 22(3), 617.4. Sage, A., & Rouse, W. (2009
Conference Session
Assessment & Continuous Improvement in ET: Part II
Collection
2010 Annual Conference & Exposition
Authors
Steven Walk, Old Dominion University
Tagged Divisions
Engineering Technology
objectives. A detailed questionnaire has beendeveloped and used in several courses to gather information on the opinions and reflections ofstudents on the learning opportunities offered them. In this unique survey, presented to thestudent not as a course evaluation but as survey of the student‟s opinions of his/her own learning,students are asked to evaluate their own ability to understand and apply the course knowledgeand skills objectives. Students are asked also to rate the course various learning opportunities –lectures, text, laboratories, etc. – insofar as each opportunity aided their learning in each courseobjective.The survey has provided valuable new information to the instructor to measure and meet notonly continuous improvements in
Conference Session
Student Learning
Collection
2010 Annual Conference & Exposition
Authors
Ricky Castles, Virginia Tech; Vinod Lohani, Virginia Tech
Tagged Divisions
Educational Research and Methods
]: Ontario Institute for Studies in Education, 1967.[4] D. P. Ausubel and F. G. Robinson, School learning; an introduction to educational psychology. New York,: Holt, 1969.[5] J. Bruner, "Learning and thinking," Harvard Educational Review, vol. 29, pp. 184-192, 1959.[6] B. E. Cline, C. C. Brewster, and R. D. Fell, "A rule-based system for automatically evaluating student concept maps," Expert Systems with Applications, vol. 37, pp. 2282-2291, March 15, 2010 2009.[7] S. H. Harrison, J. L. Wallace, D. Ebert-May, and D. B. Luckie, "C-Tools Automated Grading For Online Concept Maps Works Well With A Little Help From "Wordnet"," in First International Conference on Concept Mapping, Pamplona, Spain, 2004.[8] D
Conference Session
Industry Sponsored Research and Project Initiatives in Industrial Technology & Industrial Engineering Technology
Collection
2010 Annual Conference & Exposition
Authors
Michael Johnson, Texas A&M University; Akshay Parthasarathy, Texas A&M University
Tagged Divisions
Engineering Technology
they will encounter as they enter the workforce.Bibliography1. S. Datar, C.C. Jordan, S. Kekre, S. Rajiv, and K. Srinivasan, "The Advantages of Time-Based New Product Development in a Fast-Cycle Industry," Journal of Marketing Research 34 (1), 36-49 (1997).2. G. Kalyanaram and G.L. Urban, "Dynamic Effects of the Order of Entry on Market Share, Trial Penetration, and Repeat Purchases for Frequently Purchased Consumer Goods," Marketing Science 11 (3), 235-250 (1992).3. D. Hall and J. Jackson, "Speeding Up New Product Development," Management Accounting 74 (4), 32-36 (1992).4. M.A. Cohen, J. Eliashberg, and H. Teck-Hua, "New Product Development: The Performance and Time-to- Market Tradeoff," Management Science 42 (2), 173
Conference Session
Teacher and Counselor Professional Development
Collection
2010 Annual Conference & Exposition
Authors
Stephen O'Brien, The College of New Jersey
Tagged Divisions
K-12 & Pre-College Engineering
, coupled with high anxiety and low self-efficacy can lead to low teachereffectiveness and lack of interest from the K-5 students. At our institution, The College ofNew Jersey (TCNJ), it was felt that the Department of Technological Studies, housed withinthe School of Engineering, was well positioned to provide a unique K-5 academic major bycombining the T&E with the M&S components of STEM, resulting in a program breadth thatmatches well the breadth of skills needed by a highly skilled K-5 teacher.Such a program was established at TCNJ in 1998 and is formally referred to as the Math-Science-Technology or MST program. The program has substantial requirements in allSTEM areas, and takes a truly integrated-STEM approach. To the authors
Conference Session
Frontiers in Engineering Economy
Collection
2010 Annual Conference & Exposition
Authors
Joseph Hartman, University of Florida; Jennifer Smith, University of Florida
Tagged Divisions
Engineering Economy
is also to be collected with respect to instructor time for delivery;instructor experience; student experience; and student interaction in groups. Results will bepresented at the conference.Bibliography1. Grassman, S., “Teaching Engineering Economics via Distance Education,” Proceedings of the ASEE AnnualConference and Exposition, 2002.2. Ibrahim, W. and R. Morsi, “Online Engineering Education: A Comprehensive Review,” Proceedings of theASEE Annual Conference and Exposition, 2005.3. Kolowich, S., “Going for Distance,” Inside Higher Education, www.insidehighered.com, August 31, 2009.4. Kolowich, S., “Learning from Online,” Inside Higher Education, www.insidehighered.com, December 7, 2009.5. Thiagarajan, G. and C. Jacobs, “Teaching
Conference Session
IT-based Instructional Technologies
Collection
2010 Annual Conference & Exposition
Authors
Edward Gehringer, North Carolina State University; Abhishek Gummadi, North Carolina State University; Reejesh Kadanjoth, North Carolina State University; Yvonne Marie Andrés, Global Schoolnet.org
Tagged Divisions
Information Systems
. Reputation systemsA reputation system is a way of measuring the reliability of ratings. Scores assigned byreviewers and metareviewers can be factored into a student's reputation. Several algorithms[4, 5, 6] have also been published for determining reviewer reliability, based only on thescores assigned by reviewers. These algorithms consider (i) consistency of scores assignedby this reviewer with scores assigned by others to the same work, and (ii) spread, how muchthe highest score the reviewer assigned differs from the lowest score (s)he assigned. Somealgorithms also consider (iii) leniency, the tendency of a reviewer to give scores that arehigher than other reviewers. Research [6] demonstrates that these algorithms provideeffective quality control
Conference Session
Retention Strategies in Action Part I
Collection
2010 Annual Conference & Exposition
Authors
Surendra Gupta, Rochester Institute of Technology; Daniel Johnson, Rochester Institute of Technology; John Morelli, Rochester Institute of Technology; Michael Eastman, Rochester Institute of Technology; Vincent Amuso, Rochester Institute of Technology; James Moon, Rochester Institute of Technology
Tagged Divisions
Two Year College Division
experience to enter the high technology workforce upon completion of BS degree; and5. Perform a regular and thorough assessment of the ET2 program that will be used for the contract reporting purposes and also will be an integral part of our standard program review process.In August 2008, NSF awarded us a four-year grant from its S-STEM program to support the ET2Transfer Scholars1. In support of this project, the university will contribute $50,000 to ensurethat continuing ET2 scholars have financial support after the grant expires and help themgraduate on time. This support indicates the university’s enthusiasm, a firm commitment ofservice to our EET students, and an endorsement of the goals and objectives of the ET2 program.For AY 2008-9, the
Conference Session
Curricular Issues in Computer-Oriented Programs
Collection
2010 Annual Conference & Exposition
Authors
Ashley Banaszek, Missouri University of Science and Technology; Hong Sheng, Missouri University of Science and Technology; Richard Hall, Missouri University of Science and Technology; Ronaldo Luna, Missouri University of Science and Technology; Ghulam Bham, Missouri University of Science and Technology
Tagged Divisions
Information Systems
about and can effectively use this system,researchers at Missouri University of Science and Technology, supported by the NationalScience Foundation, have set out to explore creative and effective means of teaching this systemto students. There are many segments of GIS, but for the purpose of this study we will beevaluating the transportation module created by Missouri S&T scientists and engineers tocomplement the Geographic Information System learning tool.The transportation module itself is a web-based help system that contains categories to explainhow to use many of the transportation-related capabilities of Geographic Information Systems.This module is to act as an aid to learning the application of GIS. The purpose of this study isto
Conference Session
Software and Hardware for Educators II
Collection
2010 Annual Conference & Exposition
Authors
Anne Clark, USAF Academy, CO; Brian Peterson, United States Air Force Academy
Tagged Divisions
Computers in Education
-Level Diagram.Mnemonic Encoding Operation NOP 0000 Do no operation. Takes 2's complement of the number in NEG 0001 the accumulator. Takes 1's complement of the number in NOT 0010 the accumulator. Rotates the accumulator data one bit to ROR 0011 the right (with wrap-around). Transfers the data from the accumulator OUT 0100 aaaa to the selected output port
Conference Session
Retention Strategies in Action Part II
Collection
2010 Annual Conference & Exposition
Authors
Dan Dimitriu, San Antonio College; Jerry O'Connor, San Antonio College
Tagged Divisions
Two Year College Division
data (b) ≠ the ability to function in teams (d) ≠ understanding of professional and ethical responsibility (f) ≠ the ability to communicate effectively (g) ≠ a recognition of the need for, and an ability to engage in life-long learning (i) ≠ a knowledge of contemporary issues (j) ≠ the ability to use some of the basic techniques, skills, and modern engineering tools necessary for engineering practice (k).If these outcomes are clearly articulated and effectively assessed by the TYC program, this willhelp the program articulate smoothly with the engineering program(s) at the four-yearinstitutions. Community college programs are advised to work with their four-year partner(s) todevelop an assessment and evaluation process that
Conference Session
Innovations in ECE Education
Collection
2010 Annual Conference & Exposition
Authors
Jean-Claude Thomassian, State University of New York, Maritime College; Anoop Desai, Georgia Southern University
Tagged Divisions
Electrical and Computer
transforms for the analysis of circuits in the s-domain including Bode plots and frequency response. Also, perform Fourier circuit analysis8-11.4. Use PSpice to simulate and analyze simple electronic circuits.The abovementioned courses have a laboratory component where students build simple electriccircuits and make measurements in the laboratory by using basic laboratory equipment, computersimulation tools, and work in teams.The course objectives are in agreement with ABET Criterion 3 outcome and assessment foraccrediting Engineering programs12. Page 15.699.3Assessment Method and Information GatheringThe next sections of the paper report the
Conference Session
Chemical Engineering Education: Upperclass Years
Collection
2010 Annual Conference & Exposition
Authors
Richard Turton, West Virginia University; Joseph Shaeiwitz, West Virginia University
Tagged Divisions
Chemical Engineering
the process. The specifics of equipmentdesign and simulation for other batch unit operations (distillation, filtration, crystallization, etc.)are not covered but are left for specific operations related to the group project.As an example of the differences between unsteady, batch operation and continuous operation,consider the preheating of a batch reactor with preheating of a continuous reactor in a continuousheat exchanger. The familiar, steady-state equations for a heat exchanger are the energybalances and the heat-exchanger design equation (assuming a utility of condensing steam, forexample) Q ? m& p C p , p ΦT p ? m& s νs ? UAΦTlm F (1)where the subscript p represents the
Conference Session
Teaching Dynamics
Collection
2010 Annual Conference & Exposition
Authors
Sherrill Biggers, Clemson University; Marisa Orr, Clemson University
Tagged Divisions
Mechanics
Conference Session
Measuring the Impacts of Project-Based Service Learning on Engineering Education
Collection
2010 Annual Conference & Exposition
Authors
Shi-Jer Lou, National PingTung University of Science and Techno; Shun-Yuan Chuang, National Kaohsiung Normal University; Hsiang-jen Meng, National Pingtung University of Science and Technology; Ron Chuen Yeh, Meiho Institute of Technology, Taiwan; Kuo-Hung Tseng, Meiho Institute of Technology; Chi-Cheng Chang, National Taipei University of Technology
Tagged Divisions
International
Disassembling experience Consulting the experts and masters Experiments Books and internet information Prior knowledge and ability Investigation of the products in the marketMost of interviewees indicated that DIY was the most critical design factor for STEMin PBL, the next important factors were books and internet information.Frequency Analysis of the Contents of STEM:The contents of forum on the website of STEM were analyzed as shown in Table 4.According to the data of the forum of STEM website, the most frequent discussed wasTechnology (T); next was Science (S); and Mathematics (M) was the least discussedby students. The students of the two schools obtained similar results.Table 4 Stem content frequency analysis Schools
Conference Session
Electrical and Computer Engineering Laboratories
Collection
2010 Annual Conference & Exposition
Authors
Esther Ososanya, University of the District of Columbia; Samuel Lakeou, University of the District of Columbia; Wagdy Mahmoud, University of the District of Columbia; Amarachukwu C Ukaegbu, University of the District of Columbia; Lily Kemathe, University of the District of Columbia
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
factor, we choose to measure the power whenthe system is set in DC MODE (Figure 3), which lead to a power factor of 1.This design was done in multiple steps using different type of hardware and software. The firststep was to obtain the value of the V (t) across the pump. In order to accomplish this task, weused the NI USB 4065 DMM, a digital multimeter which has the following characteristics ≠ Bus-powered for portability ≠ Small (7.0 by 4.1 by 1.3 in.) and lightweight (10 oz) ≠ 6½-digit resolution ≠ 7 built-in measurements - AC/DC voltage, AC/DC current, 2- or 4-wire resistance, and diode test ≠ ±300 VDC/Vrms isolation ≠ 3000 readings/s (maximum) at 4½ digitsThe second step was to measure the current flowing through
Conference Session
Understanding and Measuring the Impact of Multidisciplinarity
Collection
2010 Annual Conference & Exposition
Authors
Eli Patten, University of California at Berkeley; Sara Atwood, University of California, Berkeley; Lisa Pruitt, University of California, Berkeley
Tagged Divisions
Multidisciplinary Engineering
collected: gender,major(s), year in school, relevant course work, and the results of the online learning stylesassessment. The learning style assessment gave the students a numeric indicator for theirlearning preference in each category, over a range from -11 (extreme to one side), to +11(extreme to the other side). Using this information the course and lab instructors assigned elevengroups with 3-5 students in each. Groups were assigned such that they had a roughly equalrepresentation of gender and majors and had an “average” learning style for each group that wasbalanced within each of the four categories. We did not mix undergraduate and graduatestudents. It was obviously impossible to perfectly mix the groups, but the average learning styleof
Conference Session
Computers in Education Poster Session
Collection
2010 Annual Conference & Exposition
Authors
Hamed Farahani Manesh, Eastern Mediterranean University; Dirk Schaefer, Georgia Institute of Technology
Tagged Divisions
Computers in Education
Production Economics, vol 62, pp. 87-105, 1999. 2. S. C. Park, A methodology for creating a virtual model for a flexible manufacturing system, Computers in Industry, vol. 56, pp. 734–746, 2005. 3. D. Kotak, S.Wu, M. Fleetwood, H. Tamoto, Agent-based holonic design and operations environment for distributed manufacturing. Computers in Industry, vol. 52, pp. 95-108, 2003. 4. M. Bal, M. Hashemipour, Virtual factory approach for implementation of holonic control in industrial applications: A case study in die-casting industry. Robotics and Computer-Integrated Manufacturing, Vol. 25(3), pp. 570– 580, 2009. 5. S. Cavalieri, M. Macchi , P. Valckenaers, Benchmarking the performance of manufacturing control
Conference Session
Past and Future of Manufacturing Education
Collection
2010 Annual Conference & Exposition
Authors
David Wells, North Dakota State University
Tagged Divisions
Manufacturing
forthe following discussion on the three great challenges of the past thirty years and the responsesobserved thereto.1983: The issue of a distinctive curricular identity for manufacturing engineering was firstopenly and cohesively articulated in the early 1980’s. The founding of the ManufacturingConstituent Committee at the ASEE conference at Southern California in 1981 was one of thecritical milestones. Another occurred at the ASEE conference in Salt Lake City in 1983, whenover coffee during a break in the sessions, the notion of a workshop to explore curricular identitywas first broached. The question formulated at that time was as direct as it was simple: “If youwant to teach someone to be a manufacturing engineer, what do you teach?” The
Conference Session
Retaining Women Engineering Students
Collection
2010 Annual Conference & Exposition
Authors
Elizabeth Creamer, Virginia Tech; Peggy Meszaros, Virginia Tech; Catherine Amelink, Virginia Tech
Tagged Divisions
Women in Engineering
, which played a more significant role in sustaininginterest in engineering for women than men. When entered in the second block, theenvironmental factor, Respect/Care, had stronger predictive power for women than men(Women: ß=.343, p≤.001; Men: ß=.270, p≤.001). Negative Educational Experiences, afactor identified by Goodman et al.10, had a statistically significant effect in theregression equations for both men and women, but the effect was stronger for women(ß=-.211, p≤.001) than men (ß=.-141, p≤.001).Contrary to Fox et al.’s assertion14, the block of individual variables, particularly thefactor measuring motivation, had more explanatory power for both men and woman thanthe environmental factors. The variable, Motivation, played the most
Conference Session
Computers and Software in Teaching Mathematics
Collection
2010 Annual Conference & Exposition
Authors
Cynthia Young, University of Central Florida; Michael Georgiopoulos, University of Central Florida; Tace Crouse, University of Central Florida; Alvaro Islas, University of Central Florida; Scott Hagen, University of Central Florida; Cherie Geiger, University of Central Florida; Melissa Dagley-Falls, University of Central Florida; Patricia Ramsey, University of Central Florida; Patrice Lancey, University of Central Florida
Tagged Divisions
Mathematics
AC 2010-171: EXCEL IN MATHEMATICS: APPLICATIONS OF CALCULUSCynthia Young, University of Central Florida Cynthia Young is a Professor in the Department of Mathematics in the UCF College of Sciences and a Co-PI of the NSF-funded S-STEM program at UCF entitled the "Young Entrepreneur and Scholar(YES) Scholarship Program" as well as the NSF-funded STEP program entitled "EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence." Dr. Young's research interests are in the mathematical modeling of atmospheric effects on laser beams. She currently has projects with the Office of Naval Research and the Naval Research Laboratory investigating atmospheric propagation in the marine
Conference Session
Pedagogical Developments in BME
Collection
2010 Annual Conference & Exposition
Authors
Elizabeth Vargis, Vanderbilt University; Anita Mahadevan-Jansen, Vanderbilt University
Tagged Divisions
Biomedical
Page 15.680.10of this field – to use these concept and techniques to positively affect human health. By the timethese students become juniors and seniors, we must remind them of this ultimate goal.Incorporating real-world examples and having students tackle more abstract problems on theirown is one way to do so.1. E. Jansen, A. Mahadevan-Jansen, W. Lin, S. Brophy and M. Mackanos. Development and Implementationof an Interactive Instructional Module of Light Distribution in Tissue. 2001.2. J. Bransford, National Research Council (U.S.). Committee on Developments in the Science of Learning.and National Research Council (U.S.). Committee on Learning Research and Educational Practice., How peoplelearn : brain, mind, experience, and
Conference Session
NSF Grantees Poster Session
Collection
2010 Annual Conference & Exposition
Authors
Musa Jouaneh, University of Rhode Island; William Palm, University of Rhode Island
1100 s. The figure also shows the solution of the Page 15.1157.6model. The model agrees well enough with the data to be useful for designing the controlalgorithm.The model was used to design a PI controller. The PI gains were selected to give a closed loopsystem with a damping ratio of ζ =1 and a desired closed-loop time constant τd.The Results Since the heater voltage is limited to 12 V, if τd is selected too small, the heater willsaturate. A Simulink model was constructed to investigate how small τd could be made withoutcausing saturation. It was found that τd close to 550 s was the smallest possible value. Figure 5shows the experimental
Conference Session
Integrating Engineering Ethics into the Curriculum
Collection
2010 Annual Conference & Exposition
Authors
Edward Glynn, Villanova University; Frank Falcone, Villanova University; Mark Doorley, Villanova University
Tagged Divisions
Engineering Ethics
that you think undergraduates should be prepared for at the outset of their professional careers.Over ninety CoE alumni or alumnae responded to the email. The survey was not intended to be ascientific instrument. The organizers could determine the age, gender and engineering majorthrough alumni records, but elected not to do so. However, approximately one-half of therespondents did list their majors and years of graduation. All engineering majors wererepresented: chemical (7%), civil (32%) electrical/computer (27%) and mechanical (34%). Theyears of graduation ranged from the 1940’s to the 2000’s. The 1950’s, 1960’s, 1980’s and1990’s were the most prevalent years.Most of the respondents did not address the two questions directly
Conference Session
Learning By Doing in Chemical Engineering Education
Collection
2010 Annual Conference & Exposition
Authors
Larry Glasgow, Kansas State University; David Soldan, Kansas State University
Tagged Divisions
Chemical Engineering
consists of a question and actual student response from a recentTransport Phenomena 1 final exam (the student was a junior):Gasoline is being pumped 17 miles through nominal 3-inch, schedule-40 steel pipe at arate of 9500 gal/hr. What horsepower will be required if the pump’s efficiency is about75%? ≠ M/ τ The average velocity in the pipe: > V ≅? ρR 2 4571856 therefore, > V ≅? 2 ? 8.9 x107 ft/s. ρ (0.1278) d >V ≅ τ