AC 2012-2976: INTERRUPTED CASE METHOD FOR TEACHING ETHICSIN TRANSPORTATION ENGINEERING AND SYSTEMS MANAGEMENTCOURSEDr. Robert M. Brooks, Temple University Robert Brooks is an Associate Professor of civil engineering at Temple University. He is a Fellow of ASCE. His research interests are engineering education, civil engineering materials, and transportation engineering.Jyothsna K. S., St.Joseph’s College Jyothsna K. S. is in the Department of English, St.Joseph’s College, Bangalore. K. S. secured a gold Medal for the highest aggregate marks in the Post Graduate English Literature course at St.Joseph’s College (autonomous). K. S. has been working for the Department of English, St.Joseph’s College, for almost two
AC 2012-4939: LESSONS LEARNED FROM A PROGRAM TO ENCOUR-AGE AND ENABLE TRANSFER STUDENTS TO COMPLETE THEIR EN-GINEERING DEGREESDr. Elaine P. Scott, Seattle Pacific UniversityHannah F. Azevedo, Seattle Pacific University Page 25.889.1 c American Society for Engineering Education, 2012 Lessons Learned from a Program to Encourage and Enable Transfer Students to Complete their Engineering DegreesIntroductionOur Engineering Department is working to increase the number of community college transferstudents in our engineering program through a National Science Foundation funded S-STEMgrant. The goal of the grant
. Page 25.948.2The state’s eastern region was part of the Louisiana Purchase in 1803 and was part of the Lewisand Clark Expedition in 1804 to 1806. With the findings of gold and copper in the late 1850’s,Montana became a US Territory on May 26, 1864 and the 41st state on November 8, 1889.Mining and cattle ranching have been the major themes of the state history. Mining has beenassociated with the state since the late 1850’s with the discovery of gold in Bannack Creek (nearthe capital) and by 1888, had more millionaires per capita than any other city in the world. Cattleranching has been associated with the state since the late 1800’s, mostly due to the HomesteadAct of 1862 and its revision in the early 1900’s, which expanded the amount of land a
of the computer engineering courses that incorporate programming. EGR474 Page 10.1265.2is a manufacturing engineering course available to computer and electrical engineering studentsas an elective. Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education Table 1: Pr ogr amming Incor por ated into Engineer ing Cour ses for All DisciplinesCour se Pr ogr amming Language(s)EGR101: Computer Aided Design and Manufacturing
on an LCD projector or PC monitor. Composite video and stereo audio outputs arelocated on the back of the video presenter. In addition, the S-video output terminal on the backof the device allows images to be sent directly to a television or VCR. The pick-up device is a1/2” 1.5 million pixel CCD yielding effective pixels of 1360 (horizontal) x 1024 (vertical) and aframe rate of 7.5 frames per second. All circuit diagrams and problem statements were prepared on plain white paper and weregenerated using a computer or handwritten. Step-by-step solutions for all problems were thenworked under the camera on the Samsung SVP-6000. Only the instructor’s hand was visibleduring the step-by-step solution. The Samsung SVP-6000 converted the step-by
Interactive Learning Model] is an advanced learning system that provides an inward look at a learner’s internalized metalearning behaviors, an outward analysis of a learner’s actions, and a vocabulary for communicating the specific learning processes that yield externalized performance. Other measures of personality, multiple intelligences, or learning styles provide information about the learner and then leave the learner informed but unequipped to use the information. . . . [The LCI] not only provides the learner with the means to articulate who s/he is as a learner, but then provides the strategies (metawareness) for the learner to use these learning tactics with intention [18].The LCI survey is composed of 28
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
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
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
, 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
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
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
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
the Professions. San Francisco: Jossey-Bass, 1980.6 R. Marra, K. Camplese, and T. Litzinger, Lifelong Learning: A Preliminary Look at the Literature in View of EC 2000, 1999 FIE Conference, San Juan, Puerto Rico, November 1999.7 T. Litzinger and R. Marra, Life Long Learning: Implications for Curricular Change and Assessment; ASEE Annual Conference, St. Louis, Mo, June 2000.8 T. Litzinger, J. Wise, S. H. Lee, T. Simpson, T. and S. Joshi, “Assessing Readiness for Lifelong Learning;” ASEE Annual Conference, Albuquerque, NM, June 2001.9 T. Litzinger, J. Wise, S. H. Lee, S. Bjorklund, “Assessing Readiness for Self-directed Learning,” ASEE Annual Conference, Nashville, TN 2003.10 G. H. Flammer, “Undergraduate
how understanding systems and their interaction influence solving complex global problems.Dr. Susan Kubic Barnes, James Madison University Dr. Susan Barnes has over twenty years of experience in education, assessment, and evaluation. She is an assistant professor in the College of Education at James Madison University, where she serves as an educational program coordinator, University Honors Program Liaison, and Faculty Liaison for Au- gusta County Public Schools. She taught preschool and elementary education in both public and private schools. Dr. Barnes has served as a third-party evaluator for numerous projects funded by the U. S. De- partment of Health and Human Services and the U.S. Department of Education
environment, which recognizes the different contexts and needs of learners 6. Management and administration to coordinate policy, needs assessment, resource allocation, evaluation, and other subsystemsPredictors of online learning satisfactionIn addition to understanding the key relationships between technology, learning environments,and policies outlined by Moore and Kearsley, we also found a need to review studies thatexplored the factors behind positive learning experiences. Song et al.’s survey of graduatestudents identified course design, learner motivation, time management, and comfort with onlinetechnologies as key contributors to a successful online learning environment.2 The study alsoidentified motivation for online learning because
the University of Alabama - Foundation Coalition Program.”http://www.foundationcoalition.org/publications/journalpapers/fie95/4a11.pdf (accessed 10/16/13).9. M. A. Reyes, M. R. Anderson-Rowland, and M. A. McCartney, “Freshman Introductory Engineering SeminarCourse: Coupled with Bridge Program Equals Academic Success and Retention.” Page 24.613.12http://www.foundationcoalition.org/publications/journalpapers/fie98/1280.pdf (accessed 10/16/13).10. G. L. Hein and S. A. Sorby, “Engineering Explorations: Introducing First Year Students to Engineering,”presented at IEEE/ASEE Frontiers in Education Conference, Reno, NV, 2001.11. J
for upper-division undergraduates and serves as a mechanism for just-in-timeteaching. Moreover, preliminary analysis of student attitude and persistence data both supportthat this instructional paradigm is an effective pedagogy for teaching and learning in the flippedclassroom.AcknowledgementsThe authors acknowledge the support of this work from NSF Grant #1226325. Page 24.614.14Works Cited1. McKeachie, W. J. Student-centered versus instructor-centered instruction. J. Educ. Psychol. 45, 143–150 (1954).2. Mason, G. S., Shuman, T. R. & Cook, K. E. Comparing the Effectiveness of an Inverted Classroom to a Traditional Classroom
states), sample calculations of each limit state todetermine the load carrying capacity of the connection, field examples, and a 3-D finite elementmodel of that connection. The 3-D model provides a visual display of stress distribution in theconnection area.The solid model of the steel sculpture was developed using Creo and converted to a 3-Dinteractive PDF file. This was done to avoid the need for purchasing the Creo software. A webpage was also developed where users can download the virtual sculpture and the linkeddocuments. Three survey forms were also developed with a slightly different focus to seekfeedback from students, educators, and recent engineering graduates. The user may completethe online survey form after s/he has had an
: Figure 2.13: DC Motor Time Domain Equations Note that: ω= ω(t) eb=eb(t) θ = θ(t) ia=ia(t) and va=va(t) Taking the equations to the S domain (Laplace Transform) yields the followingequations: Figure 2.14: DC Motor S-Domain Equations From the equations above, and assuming La is very small, we obtain the transfer functionfor the DC Motor Figure 2.15: Transfer Function Equation for a DC Motor Page 24.173.12 By recognizing Km as the DC Motor Gain constant and Tm as the DC Motor timeconstant, the transfer function can be simplified to become
Florida (USF) College of Engineering. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.7 References[1] J. Biggs and C. Tang, Teaching for quality learning at university. McGraw-Hill International, 2011.[2] C. Rust, “The Impact of Assessment on Student Learning: How Can the Research Literature Practically Help to Page 24.195.12Inform the Development of Departmental Assessment Strategies and Learner-Centred Assessment Practices?”Active Learning in Higher Education, vol. 3, no. 2, pp. 145–158, Jul
adjustments to identify the best tools for communication and best practices toimprove the interaction and the design process during multinational collaborative projects. Thevalidity and reliability of the survey will be also determined based on the data received andfuture assessment cycles. Results for the first assessment will be presented in anotherpublication.References Page 24.202.111. Shachaf, P. (2008). Cultural diversity and information and communication technology impacts on global virtual teams: an exploratory study. Information and Management, Vol. 45, Iss. 2, 131 - 142.2. Davidow, W. H., & Malone, M. S. (1992
studies in hopes of establishing a useful dialogue in higher education on the aspectsof attendance.Bibliography 1. Armstrong, J. S., 2012 , “Would Mandatory Attendance be Effective for Economics Classes,” retrieved December 1, 2012 from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=634127. 2. Beaulieu, R., and Sheffler, D., 1985 , “Positive and punitive contingencies and the control of absenteeism." College Student Journal, 19 pp. 242-245. 3. Berenson, S. B., Carter, G., and Norwood, K. S., 1992 , “The At‐Risk Student in College Developmental Algebra," School Science and Mathematics, 92(2) pp. 55-58. 4. Brewer, E. W., and Burgess, D. N., 2005 , “Professor's Role in Motivating Students to Attend Class
Talk about Salient Problem Features. Journal of Engineering Education, 2010. 99(2): p. 135-142.3. Litzinger, T.A., P.V. Meter, C.M. Firetto, L.J. Passmore, C.B. Masters, S.R. Turns, G.L. Gray, F. Costanzo, and S.E. Zappe, A Cognitive Study of Problem Solving in Statics. Journal of Engineering Education, 2010. 99(4): p. 337-353.4. Chi, M.T.H., P.J. Feltovich, and R. Glaser, Categorization and representation of physics problems by experts and novices. Cognitive Science, 1981. 5(2): p. 121-152.5. Brown, J., A. Collins, and S. Newman, Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics. Cognition and instruction: Issues and agendas, 1989: p. 453-494
ofresults includes faculty observations of student learning experiences.BackgroundThe STEM scholarship is awarded on a competitive basis with an emphasis on selecting studentsto form a diverse cohort. The intention is to create a group of scholars representing differentSTEM majors, academic years, gender, race, socioeconomic background, and culturalexperience. Scholars are awarded a $5,000 scholarship (providing significant tuition assistance)which is renewable for up to three years. These scholarships are funded by a National ScienceFoundation S-STEM grant and the selected students must have demonstrated financial need andan eligible declared major (Mathematics, Biology, Chemistry, Physics, Information Technology;Electrical, Computer, Civil
the number of wires that you have to connect. Typically, groups of 5 holes are Each vertical group of 5 holes is connected. Every hole in this horizontal line is connected.The prelab asks students to find an expression for the transfer function Y(s)/U(s) for the systemfrom the equations in the Appendix, given the following system parameters: L = 1 m, xr = 0.25m, xf = 0.1 m, T / 1 m/s. Only look at the first five modes, that is, let n=5.Students are also asked to plot the frequency response of the vibrating string versus frequency in
success seems likely to grow and spread in influence through the student population itserves. It is exciting, builds student confidence and team working skills, and prepares allstudents for cross-disciplinary work in the real world.Bibliography1. Bronet, P., Eglash, R., Gabriele, G., Hess, D., & Kagan, L. (2003). Product Design and Innovation: Evolution ofan Interdisciplinary Design Curriculum. International Journal of Engineering Education, 19(1), 305-318,2. Carroll, D. R. (1997). Integrating design into the sophomore and junior level mechanics course. Journal ofEngineering Education, 86(3), 227-231.3. Lamancusa, J. S., Jorgensen, J. E., & Zayas-Castro, J. L. (1997). The Learning Factory—A new approach tointegrating design and
Atabeyli (ChalmersUniversity of Technology). Page 10.400.12 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering EducationBIBLIOGRAPHY1. Malmqvist, J., Young, P.W., Hallström, S., Svensson, T., “Lessons Learned From Design-Build-Test-Based Project Courses”, International Design Conference - Design 2004, Dubrovnik, May 18 - 21, 2004.2. Berggren, K.F., Brodeur, D B., Crawley, E. F., Ingemarsson, I., Litant, W. T. J., Malmqvist, J., Östlund, S. “CDIO: An International Initiative for Reforming Engineering Education
same audience, can provide valuableinformation to the presenter, if they are available. Surveys or “needs assessments” can also beconducted. For example, interviews or questionnaires may be used to find out what the audienceneed[s] or want[s],or what problems they may have” 23. And, finally, the web or any publicbusiness records can be searched for additional audience information 24. As you can see from thegreat variety of audience characteristics and suggested modes of collecting information aboutthem, “effective speakers spend a great deal of time analyzing their audiences”25.Several of the textbooks describe the different roles audience members may play. For example,Lay & Wahlstrom26 cover the following roles: 1
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