thirtystudents that shared the same two classes. This cohort was split into ten teams for bothclassroom and afternoon activities. Study groups of two teams each were formed, each with adesignated Study Leader trained in group learning methods (similar to Supplemental Instruction).The training emphasized the value of collaborative learning and peer support, and explained thepurpose and function of Learning Communities. The SS1 sessions provided a supportiveenvironment for students to work together on homework and group projects while building asense of community and shared success. The SS2 sessions were one hour long and included theentire class, along with the SS1 Leaders. These sessions included workshops on studytechniques, test taking, physics lab
3.1 28 6 from courses other than Numerical Methods and Programming.4. Developing computer programs related to numerical methods helped 3.2 28 6 me understand the need for programming.5. As engineering students, we should have more projects that combine 3.1 28 6 topics from more than one class.6. I learned more from the individual assignments than from the team 2.3 11 22 assignments.7. I can now write a program to implement an algorithm from numerical
Future Plan of The ISO 19130 Project, XXth ISPRS Congress, Istanbul, Turkey, July 13-13, 2004 (DVD).Di, L., A. Chen, W. Yang, and P. Zhao (2003), The Integration of Grid Technology with OGC Web Services (OWS) in NWGISS for NASA EOS Data, in Pro. of the Eighth Global Grid Forum, 24-27 June, Seattle, WA, USA.Souder, W.E. (1993). The effectiveness of traditional vs. satellite delivery in three management of technology master's degree programs. The American Journal of Distance Education, 7(1), 37-53.Wilkes, C.W., and Burnham, B.R. (1991). Adult learner motivations and electronics distance education. The American Journal of Distance Education, 5(1), 43-50
iteratively employing the lessons learned from mistakes andopportunities resulting from those tasks.A significant longer term threat to maintaining a highly innovative engineering workforce is thelack of interest and related low performance of our primary and secondary school students inscience, technology, engineering and math (STEM). Regional, state and local efforts supportingrecruitment of young students into STEM areas include the FIRST Robotics Competition and theProject Lead the Way® pre-engineering curriculum within Middle Schools and High Schools.These and other similar projects deserve our fullest support.A move to restore the perception of engineering as a rewarding and value adding career is alsoneeded, thus our Government and our
defined first. This isbecause that a geometric characteristic cannot be applied with a non-FOS. Page 12.361.32.1 Feature of Size (FOS)According to ASME 14.5M6, Feature of Size is defined as:“One cylindrical or spherical surface, or a set of two opposed elements or opposedparallel surfaces, associated with a size dimension.”Figure 1 shows the top and front projection views of a part with dimensioning. Based onthe definition of FOS, Dimensions A, B, D, H, K, and J are feature of sizes, whileDimensions E, F, G, and I are non-FOS. Figure 1: An example for feature of size.2.2 Maximum Material Condition (MMC)To indicate that a
airbornenanoparticles. These units must be designed for an extremely high efficiency to capture thesmallest nanoparticles (<2nm). Many research projects are currently under consideration todevelop new filtration system for collecting nanoparticles. Electrostatic precipitators (ESP) canalso be used to control the emission of nanoparticles effectively.There are several existing federal laws (The Substances Control Act, The Occupational Safetyand Health Act, The Food, Drug and Cosmetic Act, The Clean Air Act, The Clean Water Act,and Resource Conservation and Recovery Act) that can provide a legal bias for controlling andregulating engineered nanomaterials. However, these laws lacks specific guidelines fornanoparticles production, handling or labeling. New
-2001).Mr. T. A. Cherukara was the Project Manager and Professor G.H. Besterfield was the PI. Theauthor would like to thank Dr. Tapas Das of University of South Florida for his help ininterpreting the assessment data.Bibliography 1. National Science Foundation, Where discoveries begin, http://www.nsf.gov/, accessed December 2006. 2. T.L. Friedman, The world is flat: a brief history of the twenty-first century, Farrar, Straus and Giroux, New York, (2005). 3. Combined research and curriculum development and educational innovation program, http://www.nsf.gov/pubs/2004/nsf04001/nsf04001.htm, accessed December 2006. 4. A.K. Kaw, G.H. Besterfield, S. Nichani, Integrating a research problem in a course in applied elasticity
in the fall. They then review how well they achieved their goals with theirsupervisor late in the spring semester. Since some goals may be for projects that span more thatone year, the spring review may include how well they are progressing on a multi-year goal.Here the objective of the review is more formative than summative where there is an attempt toseek congruence between a faculty member's personal goals and the goals of the department, thecollege, and the university.Quality of Information from these SourcesEach of the sources described above have pros and cons associated with them in terms of thequality of the information they contain. For example, according to Arreola1, the self-report ofthe faculty member can most clearly be related
and labs as well asfour team projects, two exams, and a final. Given this backdrop, we now introduce our 4-stepintegration framework. Page 12.32.4Step 1. Pre-course IT Impact AnalysisThis initial step strives to determine the potential impact that the introduction of IT will have onstudents. If students have a weak background and/or a low confidence with IT, then ITintegration should be different from a group of students whose background and confidence ishigher. The challenge was finding a consistent, quantifiable measure. To accomplish this, wedeveloped an IT impact analysis factor (IAF), which is a weighted average comprised of thestudents
, and change in science, technology, engineering, and mathematics education. Primary research projects explore the preparation of engineering doctoral students for careers in academia and industry and the development of engineering education assessment tools. She is a National Science Foundation Faculty Early Career (CA- REER) award winner and is a recipient of a Presidential Early Career Award for Scientists and Engineers (PECASE).Glen DePalma, Purdue University Glen DePalma is a Ph.D. candidate in the Department of Statistics at Purdue University.Ms. Pouneh Eftekhari Page 23.520.1
Education, 29(3), 291-302.2. Macaskill, A., & Taylor, E. (2010). The development of a brief measure of learner autonomy in university students, Studies in Higher Education, 35(3), 351-359.3. Deakin Crick, R., Broadfoot, P., & Claxton, G. (2004). Developing an effective lifelong learning inventory: The ELLI project, Assessment in Education, 11, 247-271.4. Deakin Crick, R., & Yu, G. (2008). Assessing learning disposition: Is the Effective Lifelong Learning Inventory valid and reliable as a measurement tool? Educational Research, 50, 387-402.5. Guglielmino, L.M. (1977). Development of the Self-directed Learning Readiness Scale, Unpublished doctoral dissertation, University of Georgia, Dissertation Abstracts
. Teaching interests relate to the professional development of graduate engineering students and to leadership, policy, and change in science, technology, engineering, and mathematics education. Primary research projects explore the preparation of engineering doctoral students for careers in academia and industry and the development of Page 23.557.1 engineering education assessment tools. She is a National Science Foundation Faculty Early Career (CA- REER) award winner and is a recipient of a Presidential Early Career Award for Scientists and Engineers (PECASE). c American Society
incorporated in the course. It isnoted that 4 of the 64 students gave a "poor" rating to the use of experiments in the course. Thereason for this low rating is unknown, but, in any case, only a very small minority of the studentsfelt this way.Planned Future WorkThree of the four described experiments (i. e., the electric circuit, the cooling of a cylinder, andthe cantilever beam experiments) are portable and can be moved via carts into the computer lab.Plans are to make a small-scale, portable version of the orifice flow meter experiment that canalso be transported into the computer lab. It is also planned to modify the experiments so thatexperimental results can be projected in real-time on the computer lab screen.ConclusionsThis paper discusses
on projects utilizing neural networks for predicting fatigue life and implementing Six Sigma for the development of torque standards. Her teaching interests include robotics, engineering statistics, quality assurance, and Six Sigma.Dr. Garth V Crosby, Southern Illinois University Carbondale Dr. Garth V. Crosby is an assistant professor in the Technology Department at Southern Illinois University Carbondale. He obtained his M.S. and Ph.D. degrees from Florida International University in Computer Engineering and Electrical Engineering, respectively. Dr. Crosby’s primary interests of research are wire- less networks, wireless sensor networks, network security and active learning strategies for STEM. He has served as
limited, F tests can be adjusted, or a multivariate ANOVA can be used. It is most practical to use a procedure such as the Geyser Greenhouse or Hyunh & Feldt to accommodate for violation of compound symmetry/sphercity. 5. Tukey’s test of additivity indicates whether there is an interaction term or residual additivity. If there is an interaction term, power goes down since the type II error for factor A increases. 6. In addition to checking the above assumptions, Multiple Comparison Procedures may be used. The MCPs selected depend on whether spericity has been met. However, they do not apply to the research questions in this project, so they are not run.I hope to learn whether student attitudes improved
decrease in usage of Springere-books at McGill during the time that they were not included in WorldCat Local. Conversely,the usage of Springer e-books increased dramatically at UBC and U of T after the Page 23.744.10implementation of Summon, since they are full-text searchable in Summon. Collecting andanalyzing the statistics for this project was illuminating, and after working with the data andanalyzing the usage patterns, we have recommendations for vendors. These recommendationsinclude allowing discovery layers to not only index their e-books, but to search the full text inorder to increase discoverability and increase the relevance ranking of
in October, more seats are released or additional tours are scheduled. After thesecond week, it is assumed all students are registered and no add additional capacity is added.The actual tour planning and content is determined by the departments. Tours last between 45minutes and 1 hour in length, and occur in the evenings. Each department is allowed to choosethe day and time to make the tour available. The number of sessions offered by each departmentis determined by the projected enrollment and historical data on the choice of major. Thedepartments will use faculty, staff and students to conduct a combination of lecture and hands-onactivities to showcase the opportunities students will have if they decide to pursue that major.For the last
reforming our engineering educational system has been made. The challenge hasbeen how to make the needed change happen in the curriculum. New practices in teaching suchas inquiry- and project-based learning, experiential learning, and service learning10 as a way forlearning non-technical skills are now common.New changes in curricula and/or extra requirements from students can put pressure on thealready-packed engineering curriculum. The reform effort of the department of civil andenvironmental engineering at University of Vermont, described above, developed a series ofthree system courses to implement the reform. Students were displeased about the organizationof the newly designed systems courses.11 Some too-ambitious curriculum reform efforts
June, 2012 from http://www.netdevgroup.com/products.17. Pickard, J., Spence, J., Lunsford, P. 2012. IPv6 Certification and Course Development. Proceedings of the ACM SIGIT/RIIT 2012. Calgary, Alberta.18. Sarkar, N.I. (2006) Teaching computer networking fundamentals using practical laboratory exercises. Education, IEEE Transactions on, 49, 285-291.19. Sharma, S.K. & J. Sefchek (2007) Teaching information security courses: A hands-on approach. Computers & Security, 26 290-299.20. Te-Shun, C. 2011) Development of an intrusion detection and prevention course project using virtualization technology. International Journal of Education & Development using Information & Communication Technology, 7, 46-55.21. VMWare
for on-campus students: No significantdifferences have been noted in exit surveys before and after the change in lecture format. Only 2of the more than 225 students enrolled in the second circuits lab course suggested in the exitsurveys that physical lectures be re-instituted. This is not surprising as most students havealready completed the first LiaB- based lab course, a traditional in-class electronics course inwhich PSpice is used extensively, and an introductory course in computer engineering in whichthey are assigned five hands-on projects that are also completed outside of a classroom. The onlystudents who may be at a disadvantage are transfer students. However, these students generallytake the second circuits lab course during their
Hampshire, 19-22 August 2007.6. L. McLauchlan, Control of an Unmanned Surface Vehicle (USV) – Sea Fox Lab Assignment for the SeniorCourse Linear Control Systems, Texas A&M University-Kingsville, 2013.7. L. McLauchlan, “Design-oriented course in microprocessor based controls,” Proc. of the 2007 ASEE AnnualConference and Exposition, AC2007-2675, Honolulu, HI, pp. 1-11, June 24-27, 2007.8. M. Prince, “Does Active Learning Work? A Review of the Research,” Journal of Engineering Education, pp.223-231, July 2004.9. R. Pucher, A. Mense, and H. Wahl, “How to Motivate Students in Project Based Learning,” 6th IEEE AfriconConference in Africa, vol. 1, pp. 443-446, Oct. 2-4, 2002.10. L. McLauchlan, M. Mehrubeoglu, and J. Durham, “Problem Based Learning
student assessment techniques as well as looking at the socio- economic sustainability of educational institutions.Dr. Shelley Lorimer P.Eng., Grant MacEwan University Dr. Shelley Lorimer, P.Eng. is Chair of the Bachelor of Science in Engineering Transfer Program (BSEN) at Grant MacEwan University in Edmonton, Alberta. She teaches undergraduate courses in statics and dynamics, as well as courses in engineering professionalism. She is currently participating in a research project with Alberta Innovates – Technology Futures in the oil sands and hydrocarbon recovery group doing reservoir simulation of enhanced oil recovery processes. She has a Ph.D. in numerical modeling from the University of Alberta, also in Edmonton
interim, researchers andeducators can look toward the National Research Council and the National Assessment ofEducational Progress (NAEP) for guiding principles to help in identifying age-appropriateknowledge and skill benchmarks. As instructors consider the type of engineering challenges tointroduce (open-ended or well-structured), identifying student competencies at certain points onthe continuum from novice to expert designer will be key in sequencing the engineering designexperience 19.Selecting Engineering Design ChallengesWhen strictly speaking of engineering design as a process and not the content that accompaniesthis subject, problem (or project) based learning (PBL) is the most widely accepted pedagogicalapproach to teaching design 4, 20
and adults, and was a GSI at U-M for two En- vironmental Health Sciences courses. At CRLT, she is involved in education research, assessment and evaluation projects, and various professional development programs for students and faculty.Dr. Cynthia Finelli, University of Michigan Dr. Cynthia Finelli is Director of the Center for Research on Learning and Teaching Engineering and research associate professor in the College of Engineering at the University of Michigan. She actively pursues research in engineering education and assists other faculty at U-M in their scholarly endeavors. Her current research interests include studying faculty motivation to change classroom practices, evalu- ating methods to improve
, A. Mense, and H. Wahl, “How to Motivate Students in Project Based Learning,” 6th IEEE Africon Conference in Africa, vol. 1, pp. 443-446, Oct. 2-4, 2002.7. L. McLauchlan, M. Mehrubeoglu, and J. Durham, “Problem Based Learning Through Modeling and Simulation of Unmanned Vehicles,” ASEE Annual Conference, Atlanta, GA, June 23-26, 2013.8. L. McLauchlan, Control of an Unmanned Surface Vehicle (USV) – Sea Fox, Lab Assignment for the Senior Course Linear Control Systems, Texas A&M University-Kingsville, 2013.9. L. McLauchlan, Path Planning Control Using Potential Fields, Lab Assignment for the Senior Course Linear
Academy (ATMA), First Robotics, Pre-Freshman Engineering Program (PREP), Project Lead the Way (PLTW) Must pass illegal drug test.The admission to the AMT program is highly competitive. All the candidates were firstcontacted via a telephone interview and qualified candidates were further followed up by onsiteinterview during campus visit. Finally, Finally 20 applicants were selected to be enrolled intothis current program started from Fall 2013.General Program InformationAs described earlier, the AMT program’s goal included: (1) educate students about advancedmanufacturing technologies needed in manufacturing field with cutting-edge curriculum; (2)educate students soft skills, including interpersonal, communication, and natural
Center of Excellence for Advanced Technological Education in Florida, FLATE. FLATE, now in its 10 year of op- eration, addresses curriculum, professional development, and outreach issues to support the creation of Florida’s technical workforce. Richard has over 30 years of experience working with the K-14 education community. Other funded efforts include projects for the NIH and the US Department of Education. The latter was for the development of an engineering curriculum for elementary school applications. The for- mer is for development of electric field mediated drug and gene applicators and protocols. This effort has generated over 20 patents and protocols currently in Phase II trials.Dr. Marie A. Boyette, FLATE
manufacturing capacity of the MME facilities, and incorporates a hands-onexperience of both undergraduate and graduate students.Our changes impact students throughout the curriculum. First year students work in teams ofthree to design a small projectile launching device equivalent to a child’s toy. Teams workthrough innovation and design processes of problem identification, goal setting, research,prototyping, evaluation, and reflection. Labs during the quarter provide students skills in solidmodeling and projectile motion and design documentation, but the final project requires them tosynthesize these lessons into a single product. Students design the device virtually inSolidWorks, evaluating assembly issues of contact interference and can conduct
-8P1=P2=13; P3=26 x2=7.371e-5 x2=5.199e-8 y2=-5.2e-8 y2=-5.2e-8 x4=7.364e-5 x4=5.199e-8 y4=-0.104e-8 y4=-5.2e-8Educational ImpactThis analysis and design project did not include any undergraduate student contributions. Theresearch was specifically designed for evaluating transformation of rigid and brittle structure intoflexible ones. This process’ ability to demonstrate structural analysis and design for brittlematerials using computational methods is critical for both undergraduate and graduateengineering education at this critical point in
enhance the transfer of core knowledge through active learning. Anoutline of the EFFECT components is provided in Figure 1. Page 23.303.2 Figure 1. EFFECTs pedagocial structure.As shown in Figure 1, each EFFECT begins with a decision worksheet. The decision worksheetprovides a brief context about the problem and asks students to provide an answer to a designproblem. For example, the context to a problem concerning the design of a solar power system3could be as follows. A complete decision worksheet is provided in Appendix 1; it is one of manythat have been developed as part of the NSF CCLI project and is publicly