measurement in order to look at fluctuations invariables sampled over a period of time and around specific events and situations. ESM can beused to look at the activities that surround things like the optimal experience (from Flow). Forinstance, ESM can be used to look at the pedagogical practices that surround optimal learninggains in a classroom setting 2, 8.Best Practices of ESMESM were developed in order to capture information on a participant’s experiences as it occursand therefore the data collection instruments and plan must also support this goal. Based onprior implementations of ESM 2, there are already existing lists of benefits, drawbacks and bestpractices. Note that ESM can be used with a variety of sample sizes. Because the data that
research interests include active learning techniques, peer to peer learning, and participation of underrepresented groups in engineering.Mr. Ryan Christopher Reuer Gergely, University of Illinois at Urbana-Champaign Ryan Gergely is a Ph.D. candidate in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign where he is pursuing a degree in Theoretical and Applied Mechanics. He received his B.S. (2006) and M.S. (2010) in Mechanical Engineering from Rose-Hulman Institute of Technology. He plans to finish his studies at UIUC in 2015 Page 24.1372.1
problems involving the engineering design process, criticaland creative thinking, and technology applications (such as JMP, Pspice, TI Calculator software,CAS) are planned for inclusion.The textbook offers an authentic opportunity to tie content to the Next Generation ScienceStandards and Common Core standards in Mathematics. Authentic examples provide a realisticcontext in, for example, "Defining and Delimiting Engineering Problems" (NGSS) and "Modelwith mathematics," from the Standards of Mathematical Practice in the Common Core,Mathematics standards 3,4.Reflection on Mathematics Textbooks Before DevelopmentTextbooks have been the common tools for communicating mathematics to students alongsidethe demonstration of practice problems on the board
? Page 26.3.2IntroductionDuring the past several years, there has been a great deal of discussion among professionalengineers around the idea that a baccalaureate degree is not sufficient to produce the engineerwith the required skill set to practice as a professional engineer in the 21st century. This has ledto the development of initiatives at certain professional societies and at the National Council ofExaminers for Engineering and Surveying (NCEES) to define and implement a plan formodifying the educational requirements for a licensed professional engineer. Their work wassupported over 10 years ago by a National Academy of Engineering report that concluded, “It isevident that the exploding body of science and engineering knowledge cannot be
industrial suppliers like Grainger or McMasterCarr. Institutions which rely on more traditional purchase order systems like requisitions will find it much more difficult to obtain parts in a timely manner, and may have to create “kits” of more of the class materials to compensate. The MIT Environmental, Health, and Safety (EHS) office was instrumental to securing locations on campus for the event to occur. A safety plan for both the scooters and bicycles based class, as well as the gokart class, was made in consultation with them. Close collaboration with MIT EHS kept everyone informed about requirements and challenges, and early communication in the semester helped the process flow smoothly
assignment exercise during a relatively busy period of the term.With the planned refinements to the assignment algorithm, the solution promises to become arobust platform for future iterations of the overall project assignment process. Page 26.20.12References1. Kadlowec, J., Bhatia, K., Chandrupatla, T.R., Chen, J.C., Constans, E., Hartman, H., Marchese, A.J., von Lockette, P., Zhang, H., "Design Integrated in the Mechanical Engineering Curriculum: Assessment of the Engineering Clinics" Journal of Mechanical Design 129.7 (2007): 682-691.2. Von Lockette, P., Riddell, W., Dahm, K., Harvey, R., Courtney, J., Pietrucha, B., Diao, C., Accini
understanding, and that are packaged along with other curricular materials such aslesson plans and learning modules. Educational simulations typically have animation and varyconsiderably in terms of activities, from serious games12 designed to mimic real life scenarios tovirtual physics labs, such as ThinkerTools13. Educational simulations are designed and intendedfor one purpose, that is, student learning. They are not intended for a research context; they donot generate new knowledge, rather they enable learning of previously discovered knowledge.Educational simulations are analogous to a calculator; students input values and an output isgenerated. A calculator does not teach students how to multiply, but it will give students theanswer to a
) traffic engineering council committee on ”survey of the state of the practice on traffic responsive plan selection control.” He is also a member of the Transportation Research Board (TRB) Traffic Signal Systems committee, Artificial Intel- ligence and Advanced Computing Applications committee, and the joint subcommittee on Intersection. In addition, he is currently a chair on a task group on Agent-based modeling and simulation as part of the TRB SimSub committee. He also serves as a CEE faculty senator at Virginia Tech. Dr. Abbas is a recipient of the Oak Ridge National Lab Associated Universities (ORAU) Ralf E. Powe
first year retention rate of 86%is comparable to the entire entering cohort of 2013, despite the higher risk of attrition in thispopulation of students. The first year retention rates for the summer bridge program cohorts of2011 and 2012 were 85% and 86%, respectively. Therefore, there does not appear to be a majorshift in retention as a function of this course revision. First year retention data for theSummerStart students of 2014 is not yet available. At the start of their second semester, all 25participants were still officially enrolled in the College of Engineering and Computer Science.However, three of these students are no longer taking courses towards their engineering orcomputer science degree, indicating that they plan to transfer out
is an Assistant Professor in the School of Engineering Education at Purdue University. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education.Dr. Matthew W. Ohland, Purdue University Matthew W. Ohland is Professor of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students, team assignment, peer evaluation, and active and collaborative teaching methods has been supported by over $14.5 million from the National Science Foundation and
numericalcomputational methods in designing solutions to structural, vibrational, electromagnetic,biomedical electromagnetics, computational fluid dynamics, and heat transfer is a noted problemfor some engineering graduates16-17. The Accreditation Board for Engineering and Technology,Inc. (ABET, Inc.) expects engineering graduates to have “an ability to use the techniques, skills,and modern engineering tools necessary for engineering practice” such as FE analysis18. Hence, Page 26.145.4engineering schools have, or are planning to add FE analysis to their curricula, but these plansare not occurring fast enough to meet the demand of firms competing in the global
you consider first when you are asked to model an object? a. Why? 2. What challenges have you previously encountered in the modeling process? a. If you run into that challenge today, how do you plan on overcoming it? 3. Do you have any strategies for modeling the object today? a. If so, which strategies do you anticipate using? 4. Are you familiar with the object you are going to model today? 5. If you are familiar with the object you are modeling or if you use it often in your daily life, would it be easier for you to model it? a. Why, why not? 6. How important is it to know about the object you are going to model? 7. How confident are you in this modeling process? (1: not confident 6
over 140 articles, chapters in textbooks, and technical reports, many in the area of process planning and improvement, and has been an invited speaker or panelist at numerous technical symposia. He is co-author of the textbook Applied Integer Programming, published by Wiley in 2010. From 1979-84, Bob was a senior operations research analyst with Lockheed Corporation. At Lockheed, he worked in conceptual and preliminary design of aircraft and missiles, performing mission effectiveness, cost, and risk analysis. He received a Ph.D. in Mathematics and an M.S.I.E. from Alabama in 1979, and a B.S. in Mathematics/Physics from Alabama in 1972. Since 1996, Bob has been a Registered Professional Engineer in quality
testing and coverage metrics 2.1. Unit tests in Visual Studio 2.2. Code coverage metrics 2.3. Test automation 3. Support for automated user interface tests 3.1. Simple tests 3.2. Data-driven tests 3.3. Web and desktop application tests 4. Introduction to Team Foundation Server (TFS) 4.1. Features of TFS 4.2. Installation of TFS 4.3. Backup creation and recovery 4.4. Version control 4.5. Reports 5. Introduction to Microsoft Test Manager 5.1. Creating a Test Plan 5.2. Executing the tests 5.3. Managing the environments 6. Performance Tests in Microsoft Test Manager 6.1. Lab Center’s features and functionalities 6.2. Recommended architecture and environment
partners to integrate manyof these activities in order to provide more professional practice skills beyond traditionalengineering education to our students. We believe our recent success in fostering sustainedindustrial partnership is the direct result of the following practices: Proactive recruitment: selecting partners who have long-term interest to affiliate with the program and replacing inactive members through normal attrition. Relevant engagement: involving partners with activities that have potential impacts on the program and providing them with a well-planned agenda so they feel full engaged and take ownership of the affiliation. Steady leadership: selecting and retaining strong leaders who understand
technician career. Introductory programs in various STEM middle schools have a smoothtransition to Career and Technical Education or Career Academies in high schools. The high school program inAutomation and Production Technology (APT) provides viable entry path to the college and career pipeline for theadvanced manufacturing industry. This program plus related adult vocational programs are both aligned with theManufacturing Skill Standards Council, Certified Production Technician (MSSC-CPT). This articulation of nationalcertifications into college coursework is now known as “the Florida Plan,” with MSSC as the first, 2007, andexample adopted articulated certification in Florida. The APT (with embedded MSSC) program is available forimplementation by
students gave a total of 277 responses or anaverage of 8.15 items per student. The number of student responses ran from 1 to 17 per student.The topics were selected from a low frequency of once to a high of 12 times with an average of2.50 selections per topic.If the authors were to analyze the technology and society course on their own based on thetextbooks and course content, they probably would not have done as thorough a job of selectingcontent items or topics as the 34 students did. The instructor in the course attempts to present thecourse in a conscientious manner, but the intent is not to spend the entire semester teachingethics. The course detailed plan includes many topics such as: 1. The Natural World 2. Application of
faculty input, the scope and objective of their seniordesign project will be defined. This process also gives the students a sense of ownership of theproject.All senior design teams in the BME program present their project proposal in early October. Theresearch team is expected to already have a detailed experimental plan by then. They should alsohave completed basic lab skill training. The team will use the remaining one and half monthbefore the semester end to work on experimental setup and conduct pilot tests. It is important forthe faculty to make sure that the students start with small-scale pilot runs for each new study.These pilot runs save resources and time, and provide valuable guidance to improve theexperimental design. The student
realities. Come and play.”Organic Growth Across CampusInnovation Sandbox was prototyped during the 2012-2013 academic year. The development ofthis program is a mirror of the innovation process itself -- much of the development was organicand focused on the evolving needs of the constituents. A NCIIA Planning Grant2 served as thecatalyst for this effort; this grant was leveraged into a targeted donation from an alumnus, andsupplemented by an additional match from the College of Engineering through an industrialpartner. In addition, the Center for Innovation & Entrepreneurship contributed significant timethrough leadership and technical support to enable this as a university-wide program.The early supporters of the program concept in the College
was the first implementation, despite significant planning during the summer, it wasdifficult to align all aspects of the four courses. There was significant, real time trial and errorduring the first implementation. Now that we have taught the sequence once, we can improve thesequencing and alignment of the different assignments.In addition, students reported feeling burnt out at the end of the sequence. Part of the cause canbe addressed by the sequencing of content and assignments during the term. In the firstimplementation, the latter part of the quarter had too many simultaneous assignments. A moredifficult challenge is programmatic. Taking four core engineering courses at one time is a veryheavy load. Most of our students were taking a
with an optimization decision. The TSP is a fundamental combinatorialoptimization problem with numerous applications in OR. It can be described as the problem offinding a minimum total distance of visiting n cities, starting and ending in the same city andvisiting the other cities exactly once (Rego et al.)[10]. The classic KP consists of a set of itemswhose values and weights are deterministic; the objective is to find a subset of items to put in theknapsack in order to maximize the total values without incurring overflow (Chen and Ross)[11].An interesting dilemma arose regarding strategy. Students could select the travel route tomaximize rewards and design the seats according to the planned destinations and thecharacteristics of the
they suggested. The sponsors identifiedand contacted the appropriate level representative, and worked out the plan and logistics for theIntrapreneurship Study Team visit. Alumni and development groups at the colleges wereengaged and kept informed as appropriate. Once all the individual company representatives wereidentified, a formal charter was developed for this group that was named the Industry Team(called IT). The Intrapreneurship Study Team leader, Leo Hanifin, made personal contacts toeach for a kick off meeting to lay out the reason for the study, and the engagement of eachcorporation in the Intrapreneurship Study Team visits. The critical elements of thecollaborative process to engage industry were thus: 1. Choosing a cross
in this paper serve as alighthearted yet engaging introduction to soil behavior and material property evaluation. Weplan to continue using these props in the future to help students develop a sense of proportion.Developing this sense of proportion and understanding the fundamentals of material propertyevaluation are essential for aspiring civil and geotechnical engineers.During future geotechnical laboratories, we plan to introduce a bonus laboratory activity wherestudents design their own experiments while thinking of their own food analogies. Our goal is tocontinue to expand our database of food test results. We encourage other geotechnicalinstructors to do the same, and we look forward to the sharing of results. Who will find the foodwith
., Legislative Law and Process in a Nutshell. 2nd ed. St. Paul, MN: West Publishing, 1986.Filson, L., The Legislative Drafter's Desk Reference. Congressional Quarterly, Inc., Washington, D.C. 1992.Gross, B. The Legislative Struggle. New York, NY: McGraw-Hill, 1953.Overview of Systems Engineering: http://www.sie.arizona.edu/sysengr/whatis/whatis.html.Juran, J., Juran on Planning for Quality. New York, NY: The Free Press, 1988.Crosby, P., Quality is Free. McGraw-Hill. New York. 1979.Schrunk, D., The Quality Approach to the Science of Laws. Presented at 16th Annual International Deming Research Seminar, New York, February, 2010.Quality of Laws web site: www.qualityoflaws.com.Onishi, A., Futures of global interdependence (FUGI) global modeling system
required to complete a team-based, year-long, externally sponsored capstone project. The student teams work under thesupervision of a liaison engineer from the sponsoring company, a faculty adviser and a designcoordinator (i.e., a course instructor). Team size typically ranges from three to five students, withan optimum team size of four.Student teams visit the site, learn the details of the project and prepare a written proposal for theclient in fall quarter. The proposal describes the scope of work, plan of implementation for therest of the academic year with detailed tasks, deliverables and milestones. Teams work on theproject in winter and spring quarters. The project culminates with a final report summarizing theteam’s work, calculations
during Page 26.1079.4their first semester of their engineering programs. Female engineering students have higherrepresentation in this study than their average representation in undergraduate engineeringprograms. To date, we have had a much greater number of female students express interest inand qualify for participation in the study as compared to males. Also, as can be seen in the table,the majority of the students who participate identify as ethnically White. As recruitment for the study continues, the research teams 12 plans
experiential learning modules in the domains of circuits analysis, biosignals andsystems analysis, and experimental design in collaboration between the BME Department ofNorthwestern University and ECE Department of University of Florida. Future plans includeassessing whether students who have benefitted from the flipped classroom continue to besuccessful in further courses in the curriculum.References1. Sheppard, S.D., et al., Studying the Career Pathways of Engineers, in Cambridge Handbook of Engineering Education Research, A. Johri and B.M. Olds, Editors. 2014, Cambridge University Press: New York, NY, Page 26.1087.11
, physical keys (e.g., smart cards andsmart card readers), the supporting server infrastructure, and the related locking mechanismsthemselves (e.g., magnetic or electromechanical locks). With careful planning, design, testing,and deployment, the advantage can be tilted back in favor of active defenders so long as theyare willing to consider the security of the system as a whole and not only its parts.REFERENCES 1. Das, S., and Beaman, J. Direct selective laser sintering of metals, January 2004. 2. Hull, C. Apparatus for production of three-dimensional objects by stereolithography, March 1986. 3. Laxton, B., Wang, K., and Savage, S. Reconsidering physical key secrecy: Teleduplication via optical decoding. 4. TOOOL. Assa twin
Machine Design class taken in fall 2013. Alexis’s contribution to the Twisted Sister Project was the concept and design of the articulating center drum, as well as the rear body frame design. These components enabled the robotic rover to climb over non-uniform obstacles that existed in its drive path while retaining traction on at least three out of the four wheels during motion. Outside of school he works seasonally at a private tax office in his local town in Long Island. His experi- ence both in and out of school has furthered his innate abilities to plan, organize and lead design projects to proliferate his experience with mechatronic design. Alexis continues his desire for mechatronic design as he is currently
Paper ID #11339Measuring Engineering Students’ Ability to Thrive in Diverse and Global En-vironmentsDr. Joyce B. Main, Purdue University, West Lafayette Joyce B. Main is an Assistant Professor in the School of Engineering Education at Purdue University. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education.Matilde L. Sanchez-Pena, Purdue University Matilde Sanchez-Pena is a first year PhD student in the Engineering Education program at Purdue Uni- versity. Her research interests are global