–Kingsville and Michigan Technological University.In Texas, five graduate students completed their master degree research projects using the Page 11.639.6discrete and finite element modeling simulation and online tools: o Microstructure modeling of asphalt mixture using finite elements o Asphalt mastic modulus prediction using discrete and finite element modeling technique o A simple asphalt pavement overlay model using discrete and finite element modeling technique o Identification of particle location for a discrete element model (EE department). o Development of online pavement
Interface Module: Use of mathematical tools, such as, Matlab, is commonin engineering education. Although a full integration of Matlab core into IITS has been the goalof the project, currently, student’s answers for exercise problems are verified using a java-basedsmall linear algebra module. 3. Development of Interactive Tutoring System for ECE Circuits CoursesUsing the IITS shell, an interactive tutoring system is being developed for two electric circuitscourses for the Electrical Engineering curriculum. Several modules for various components ofthe electric circuits courses have been developed and deployed; further development is inprogress. The following is an index of various topics covered so far: 3.1 Course Topics EE161: Electrical
use SynchronEyes [5] Software to monitor progress, and to project work ontoa classroom screen. To monitor the progress of the study, the study group took the sameexams as the general course population, and certain problems were compared to gaugeunderstanding of key equilibrium concepts. We also administered a survey to determinestudent attitudes toward use of technology. Instructors for the general chemistry course typically come from various academicdisciplines, including chemistry, chemical engineering, and the life sciences. Threeinstructors with various academic experience and backgrounds were chosen for thisstudy. The experience and background of the instructors ranged from new instructor totwelve years teaching experience. Prior
verified in this study. We hope that thisarticle would inspire quality experts and instructional design experts to come together to work oncollaborative projects as well as motivate instructors using other methods to teach QFD to sharetheir insight. In a future article, the authors will elaborate on the remaining part of the studywhich includes the implementation of a parallel ten-item authentic assessment quiz and a fiveitem self-reported survey both following the introduction of case study. The combined results ofpre-test and post-test studies would shed some more light and provide for a more completepicture on this particular case study. Page
) External Informal sources. This paper describes the processes used andcorresponding results of the ABET Site Visit completed in October. A sample of the graphicaltools used to identify, track, collect, analyze, and report various outcomes as they relate to recentgraduates of our new IE Program will also be provided.Background The Industrial Engineering program at Texas A&M University-Commerce wasestablished by the Texas Legislature with an effective operational date of August 2002. At thattime, the initial projection was to have 30 students enrolled in the IE program when classesbegan in the Fall. As it turned out, over 70 students enrolled for classes leading to a Bachelor ofScience degree in Industrial Engineering at TAMUC. In each of
to learn and use 3-D solid modeling packages? In the fall of 2005, a study was undertaken at MichiganTechnological University to answer these questions. Two different tests were administered at thebeginning of an introductory engineering course to determine the students’ level of spatialability: the Purdue Spatial Visualizations Test: Rotations and the Mental Cutting Test. In theintroductory engineering course, students receive five class periods of instruction in engineeringgraphics (isometric sketching, orthographic projection, rotations, and other topics) and threeclass periods of instruction in a 3-D solid modeling package. Some of the students receivedinstruction in engineering graphics before learning 3-D modeling software, and some
the varying environmental andpressure conditions will be determined using Reverse-Phase High Performance Liquid Chromatography.A schematic of the apparatus is shown in Figure 1. The design consists of an inner and outer housing tomaintain the temperature and relative humidity conditions; pneumatic cylinders to apply the contactpressures; and various instruments and a data acquisition system to calibrate and record systemconditions. The undergraduate authors were heavily involved in the design and documentation(orthographic projection and 3-D CAD drawings) of the housing; sensor selection; and data collectionfor the calibration of the pneumatic system. In what follows we will further describe the instrumentationand data acquisition system, and
Learning Technologies in the Old Dominion University Office of Distance Learning. She joined the staff of Old Dominion University in 1999.Carol Considine, Old Dominion University Carol L. Considine is an Associate Professor of Civil Engineering Technology at Old Dominion University. She joined the faculty of Old Dominion University in fall 1999. She has fifteen years of industrial experience in construction estimating and project management. She received her B.S. in Civil Engineering from Virginia Tech and her M.S. in Civil Engineering from the University of California at Berkeley. Page
that begin to diverge as early as elementary and middleschool, to the absence of women faculty, mentors, and fellow students in college and universityclassrooms that create a “chilly climate for women” in these areas.2,5A 2003 United States National Science Foundation publication6 described 211 ongoing projectsin the country designed to attract and retain women and in STEM courses. More than $90 Page 12.338.2million had already been poured into these projects. Given the proliferation of such efforts,some measurable effect on the entry and persistence of women in these professions should beexpected. However, studies indicate no substantial gains
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