of procedures, construct working models, students analyze results andwrite formal reports. Module 2 (transitional projects) have defined objectives; however, somedesign elements are intentionally left out prompting students to synthesize a working model sothat meaningful results can be acquired. Although the goal is clearly stated, the task of filling inthe missing pieces is the challenge. Module 3 (DoM project) is the culminating experience inwhich students working in teams of two are required to integrate prior skills into an independentresearch initiative. Each team must propose, plan and execute a design that is relevant to thecourse topics and suitable in rigor. At an end-of-the semester event, each team delivers a formaloral
evaluated on asemester-by-semester basis, or a modified semester-by-semester basis. The results of theseprimary tools are used to establish an action plan for each course, (for example, smallmodifications to be presented in the next course iteration), and thus provide a path for continuousimprovement. Secondary tools are implemented on different time scales, and providecorroborative information only. The program assessment rubrics are the primary tool used toprovide a measure of satisfaction of student learning outcomes.Table 1: Intellectual maturity according to Perry’s levelsStage of Perceptions of theIntellectual
incorporated into construction engineering and management curricula for trainingstudents to use spatial construction data for various applications that include surveying,construction planning, and scheduling [6]. Aerospace Engineering (AE) curricula place emphasison technology applications related to air and space navigation, traffic control, and pilotlessaircraft and aerospace technologies, such as atomic clocks, that enable GNSS [7]. In general,undergraduates appreciate applications of GNSS and design projects that are effective in givingsome insight into fundamental GNSS principles [8]. These approaches, however, do not addresslearning GNSS from first principles and so do not convey the depth of understanding that isnecessary to work with a broad
[17] inprevious course offerings.The Current Resource of Table 2 has been accumulated over time. As the plants have significantcapital cost associated with them, moving to the Ideal Resource of Table 2 is part of the currentfive-year strategic plan of the mechanical engineering program. With full realization over time asa goal to complete the Ideal Resource, the hands-on learning component of the dynamic systemsand control can occur and accommodate increasing enrollments. Page 26.833.7Streamlined Experiments to Increase Student ThroughputWith increased student enrollment, the time in terms of contact hours for the one-credit coursehas been
Statistics 2010. Washington, DC: Government Printing Office.16. Ragsdale, S. (2013). Pursuing and Completing an Undergraduate Computing Degree from a Female Perspective: A Quantitative and Qualitative Analysis (Doctoral dissertation). Available from ProQuest database. (AAT 3565811)17. Cohoon, J. M., & Aspray, W. (2006). Women and information technology: Research on underrepresentation. Cambridge, MA: The MIT Press.18. Horn, L., & Nunez, A. (2000). Mapping the road to college: First-generation students' math track, planning strategies, and context of support. US Department of Education. National Center for Educational Statistics report 2000-153.19. McMahon, W. (1999). Education and development: Measuring
courses to the solution of anopen-ended design problem with constraints. This course is usually taken in the winter quarter ofthe sophomore year. The students buy a kit of parts and raw materials to supplement the kitsfrom the previous courses. The end product, an autonomous robot, is specified with a minimalset of constraints, but it is up to the students to determine how to satisfy those constraints. Forsome, this is the first exposure to building something. The course has two hours of lecture andthree hours of lab each week. The lecture time is used to review some of the concepts anddevices, as well as introduce new concepts like Finite State Machines for implementingbehavior, and creating test plans. Weekly milestones help motivate the
first-year engineering design course onstudent intellectual development as measured by the Perry scheme. Journal of Engineering Education, 89(1),39-45.[26] Douglas, E. P., & Chu-Chuan, C. (2009). Work in Progress - Use of Guided Inquiry as an Active LearningTechnique in Engineering. Paper presented at the Frontiers in Education Conference.[27] Creswell, J W. (2012). Educational Research: Planning, Conducting, and Evaluating Quantitative andQualitative Research. England: Pearson College Division.[28] Zhang, L. F. (1997). The Zhang Cognitive Development Inventory. Unpublished text, The University ofHong Kong, Hong Kong. See Appendix A.[29] Perry, W. G. (1970). Forms of Intellectual and Ethical Development in the College Years: A Scheme
2002, and has worked on many assessment, research, and evalu- ation projects, including the measurement of student learning outcomes in general education, longitudi- nal research on the effects of undergraduate engineering research experiences on minority enrollment in graduate school, and the evaluation of the Georgia Tech International and Research Plans. He is currently working on an upcoming evaluation of service learning and sustainability project as part of Georgia Tech’s Quality Enhancement Plan.Dr. Comas Lamar Haynes, Georgia Tech Research Institute Comas Lamar Haynes is a Principal Research Engineer / faculty member of the Georgia Tech Research In- stitute and Joint Faculty Appointee at the Oak Ridge
. As one team summarized in theirreflection, “As a team, we found that this objective evaluation of other teams’ work was a greatway to look at our own work in a different light. We found the areas we did well in as well asthe ones that need improvement. Using this knowledge, we plan to go forward and write an evenbetter draft, or even drafts, void of the problems it has now.”There were two areas in which the feedback was not what the instructors desired. Students werenot able to determine the best locations for figures and tables in their documents. Also, theymisunderstood the question asking about references. In response to these deficiencies, theassignment has been revised. Another question that did not produce useful feedback has
by instructor). - Grading of deliverables by the instructors (project plan, mid-term review, final report, exhibit (and abstract), oral presentation, team minutes, web site if applicable). - Teamwork survey. - Self-assessment. - Senior Design Symposium judging (with evaluation criteria explicitly indexed to the learning objectives and articulated via rubrics for all measures). Table 4: Results of Indirect Assessment for AREN 485 (twenty students in the course) Indirect AssessmentStudent Self-Assessment Number Number Number Number Number Equivalentof Course Learning of A’s of B’s of C’s of D’s of E’s GPA (4 toObjectives
? 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