. Page 15.1205.6The Design Project The students are able to apply their newly gained engineering theory and organphysiology to participate in hands-on experiments throughout the course. Early on, they wereexposed to a simple pumping system in which they could take pressure and flow measurements,and apply their newly acquired fluid dynamics knowledge. Throughout the course, the studentsgained valuable group work and laboratory experience when they analyzed and designed theirown kidney-dialysis systems. The project given to the students was in three parts, as follows: 1. Students will design and build their own dialysis circuit, with the goal of maximizing removal of salt from the blood (Kg/s) while removing < 5% of the liquid
12References1. Aleven, Vincent, McLaren, Bruce M., Koedinger, Kenneth R. (2006) Toward Computer- Based Tutoring of Help-Seeking Skills. In Karabenick, Stuart A. and Newman, Richard S. (Eds.), Help Seeking in Academic Settings Goals, Groups, and Contexts. (pp. 259- 296) Mahwah, N.J: Lawrence Erlbaum.2. Alexitch, Louise R. (2006) Help Seeking and the Role of Academic Advising in Higher Education. In Karabenick, Stuart A. and Newman, Richard S. (Eds.), Help Seeking in Academic Settings Goals, Groups, and Contexts. (pp. 175- 202)Mahwah, N.J: Lawrence Erlbaum.3. Amenkhienan, C. and Kogan, L. (2004) Engineering students' perceptions of academic activities and support services: factors that influence their academic
percentage difference between showing answers to 18 key questions associated with answers supplied by new engineers and supervisors, Boeing’s ‘Desired Attributes of an Engineer’ normalized by supervisor response score Table 1 Figure 3 Summary Supervisors (S) – New Engineers (NE) Both Agree - Attribute New Engineers Not – Need More Skills Adequate
the model to several independent study projectscompleted or on-going currently. Specifically, the model was used to evaluate 11 independentstudy projects that were authorized and completed during the 2008-2009 academic year, as wellas 8 independent study projects authorized and on-going during the 2009-2010 academic year.All independent study projects within the D-C&ME are executed under the requirements of acontract prepared collectively at the start of the academic year by the Cadets, faculty member(s)acting as the project advisor(s), and the course director responsible for oversight of allindependent study projects. The authors utilized only those contracts to evaluate the projectsusing the model. None of the authors were involved with
. and Oreovicz, Teaching Engineering, McGraw-Hill, Inc, NY, 1993.19. ExCEEd Teaching Workshop Seminars, 2008. http://www.asce.org/exceed20. Lowman, J., Mastering the Techniques of Teaching, 2nd ed., Jossey Bass, NY, 2005.21. Aref, H., Hutzler, S., and Weaire, D., “Toying with Physics,” Euro Physics News, Vol. 38, No. 3, pp. 23-26,200722. Guemez, J., Fiolhais, C. and Fiolhais, M., “Toys in Physics Lectures and Demonstrations – A Brief Review,”Physics Education, Vol. 44, No. 1, pp. 53-64, 200923. Turner, R. C., “Toys in Physics Teaching: Cartesian Diver,” American Journal of Physics, Vol. 51, No. 5, pp.475-476, 198324. Connolly, W., “An Automated Cartesian Diver Apparatus,” The Physics Teacher, p. 51, January 198925. Graham, R. M., “An Extremely
variety. That variety is based on the fundamental difference in philosophy as to whetheryear 1 has common content for all branches of engineering or discipline specific programs begin inyear 1. For the former, many imaginative ways have been introduced to allow students to gain an Page 15.658.2understanding of the uniqueness of the disciplines.This summary considers eight options (with the school code in brackets for the school using thisoption): 1. Common year 1 with no engineering exposure through courses; basic math and sciences, 0% of responders 2. Common year 1 with required common engineering course(s) with no explicit
AC 2010-1351: STUDENTS AS THE KEY TO UNLEASHING STUDENTENGAGEMENT: THE THEORY, DESIGN, & LAUNCH OF A SCALABLE,STUDENT-RUN LEARNING COMMUNITY AT XXRussell Korte, University of Illinois, Urbana-Champaign Russell Korte is an assistant professor in Human Resource Education and a Fellow with the iFoundry at the University of Illinois at Urbana-Champaign.David Goldberg, University of Illinois, Urbana David E. Goldberg is Jerry S. Dobrovolny Distinguished Professor in Entrepreneurial Engineering and Co-Director of the Illinois Foundry for Innovation in Engineering Education. He is author of Genetic Algorithms in Search, Optimization, and Machine Learning (Addision-Wesley, 1989) and The
this type of analysisduring their future careers. The QFD matrix is set up with critical customer requirements listed in acolumn with their associated priority ranking (1-5 with 1’s being low; 5’s high). Potential designsolutions or aspects that could assist with meeting the requirements are listed in a row that isperpendicular to the requirements. Relationship matrix points are assigned to each of the cells that linka requirement to a solution (0,1,3,9 with 0’s being low; 9’s high), in order to determine if a potentialdesign solution can address multiple requirements. A technical difficulty rating is assigned based onthe ease of implementation (1-5 with 1 being easy), and objective targets are established as benchmarkgoals. In keeping with
application domain. When presented with a problem, they are able to select the appropriate tools(s), seek the necessary information, and present a solution. The regularly used technical skills are committed to memory, and external information resources are not needed in these cases. More complex problems and problems with multiple possible solution paths for which they have to evaluate the quality of the different solution paths will create difficulties for the individual. Overall intellectual capability may be a limiting factor. Fluency The individual has extensive knowledge
of quality, not falling within the scopeof the journal, lack of assessment data, etc.) it will be rejected. Those manuscripts not rejectedenter the review process, and are distributed to an associate editor (AE) on the basis of thetechnical area of the manuscript. Each manuscript is assigned at least three (3) reviewers. Aminimum of two (2) reviews must be performed before a decision can be taken. Once thesereviews are in hand, the AE prepares a preliminary decision, if necessary giving requirementsand recommendations to be met by the author(s). The EIC reviews the preliminary decision, editsit as necessary, and communicates the decision to the author(s). This process continues withrevisions that are submitted until a satisfactory manuscript
associations and professional societies,government agencies, national standards bodies, and international standards agencies.” Hardingand McPherson (2009) 7 describe the present sphere of standards organizations in his ASEEpaper.Two surveys describe the libraries’ best practices for standards. The original plan to do a surveydid not appear necessary after finding these two surveys. Both surveys cover large academiclibraries. Brian S. Mathews (2006)8 wrote about “top engineering schools” while Lorraine F.Pellack (2004)9did a survey of 34 libraries that are members of the prestigious Association forResearch Libraries (ARL). In 2003, Pellack’s survey indicated that there are many librariesdoing special ordering with format half of the libraries buying
departments, organizations,and stakeholders was challenge at times. After merging all of the accumulated informationgathered from multiple sources into a design specification, the construction and testing phasesproceeded as scheduled. During this project many other products were identified that requiredesign modifications to make them more usable by people with the widest possible range ofabilities. Redesigning these products using the concepts of universal design will become the nextstep for this project.Bibliography1. Burgstahler, S. (2008). Universal Design of Instruction (UDI): Definition, Principles, and Examples. Retrieved from http://www.washington.edu/doit/Brochures/Academics/instruction.html2. Burgstahler, S. E., & Cory, R. C
for the content analysis was subjective, but did point to the emphasison information literacy, information/reference services, collections and novel databases. Whiletextual analysis was limited in terms of results, it did provide further support for theclassification analysis based on word and phrase frequencies of the paper titles. A future studymight apply a more rigorous textual analysis methodology (and software) to obtain topichierarchies and to perform more sophisticated analyses.Further work could compare these results to other LIS publications in the field of science and Page 15.177.13engineering librarianship.References1. Tiew, S
College in Memphis, TN, where he served as Student Section Advisor and Chair of the Memphis – Midsouth Section of ASME. In 1982, Ken joined Villanova University where he teaches thermodynamics and a wide variety of other courses. He currently serves as Assistant Department Chair for the Mechanical Engineering Department. Ken is the author of over fifteen publications in the fields of fluid mechanics, heat transfer, engineering education and computer graphics for flow visualization. Ken has performed research in computer graphics for the U. S. Army Ballistics Research Lab in Aberdeen, MD. He has also done consulting work for a number of companies in the Memphis and Philadelphia areas. Ken is a
number of 3rd gradestudents it does not assure the increase of students in engineering and technology areas. Howeverit is an issue for further discussions.7. Distance Learning Experience – A History of more than 50 years.Brazilian Distance Learning Experience dates back form the 40’s when two initiatives have to bementioned as pioneer projects on distance education in the world: Brazilian government startedthe “Universidade do Ar” (The University of Air), which was the transmission by radio of firstgrade program. The target was to provide basic education for workers and people of remoteplaces of the country. The other initiative is the one of "Instituto Universal Brasileiro" anotherinstitute that has done a very good work teaching by distance
. Theobservatory and its learning modules can be introduced in engineering and earth scienceshydrology courses at both the undergraduate and graduate levels Acknowledgement Support for this work was provided by the National Science Foundation's Course,Curriculum, and Laboratory Improvement (CCLI) program under Award No. DUE-0737073. 7. Bibliography 1. NRC (1991): Opportunities in the Hydrologic Sciences, National Academy Press, Washington, D.C., 348 p. 2. Wagener, T., Weiler, M., McGlynn, B., Gooseff, M., Meixner, T., Marshall, L., McGuire, K. and McHale, M. (2007): Taking the pulse of hydrology education. Hydrological Processes, 21, 1789-1792. 3. Nash, J. E., Eagleson, P. S., Phillip, J. R., and van der Molen, W. H. (1990
approximately 2.5 mL. To synthesize gold NPs, 1.0 mMhydrogen tetrachloroaurate (III) trihydrate was added dropwise into 30 ml of sodiumborohydride, swirling the tube occasionally, until a pink or purple color appeared. The finalvolume of silver nitrite used was approximately 2.5 mL. Both NP suspensions were Page 15.900.5characterized by UV-Vis spectroscopy (Nanodrop ND3300) and DLS. DLS was conducted on aMalvern Nano Series Zetasizer with a 633 nm laser. The duration of each scan was 60 s and 3scans were acquired.NP Application to CellsOn day 1, cells were rinsed once with 700 l of phosphate buffered saline (PBS) and 700 l offresh cell culture media was
willtake the first four zeros. We also need to find the values for λ n and J 0 λ n r. The first fourzeros of the Bessel function of order zero are given by: By Hand (Tables) Using Maple a 1 = 2. 404825558 >BZ:=[evalf(BesselJZeros(0, 1 .. 4))]; a 2 = 5. 520078110 a 3 = 8. 653727913 a 4 = 11. 79153444 α We now calculate the λ ′n s = an : By Hand (Tables) Using Maple λ 1 = 2. 404825558 π = 1. 530959499 >L1:=evalf(BZ[1]/(Pi/2)); 2 λ 2 = 5. 520078110
near future. Page 15.777.10 45 40 M 35 a 30 j 25 Freshman o 20 Sophomore r 15 s 10 Junior 5 Senior 0 Fall 08 Spring Fall 09 Spring 09 10 Figure 3. Enrollment
microstrip circuitsMatrix representation of multi-port networks (S-,Z-,Y- and ABCD parameters)Calibration of coaxial and in-fixture VNA measurementsThe diode at radio and microwave frequenciesMicrostrip filter designPower dividers, combiners and couplersEven and odd mode analysisScattering parameter design of transistor amplifiersLinear dynamic range, noise figure and noise calculations for microwave systemsLAB / DESIGN EXERCISESIntroduction to the vector network analyzer (VNA) and basic transmission line theory –Students measure the reflections from a series of open circuit transmission lines of differentlengths and at different frequencies and compare measurement to theory.Passive component characterization using the VNA – Students measure the
the student model the system provides intelligent,personalized tutoring and support to the student. In particular, based on information concerningthe knowledge level of the student in each concept of the domain knowledge, the system providesindividualized support when s/he navigates through the course material.The system uses the direct guidance technique to inform the learner whether s/he is ready to visitthe corresponding topic or if the studying of a page is unnecessary due to the fact that the studenthas already mastered the concept that is associated with this test frame. With the direct guidancetechnique, the system suggests and leads the student to the particular learning level the systemconsiders as the most appropriate for the
and Secondary Education, Massachusetts Curriculum Framework Site, 12 November 2008, available from http://www.doe.mass.edu/frameworks/current.html25. NAE, Engineering in K-12 Education: Understanding the Status and Improving the Prospects, National Academies Press, Washington, D.C., 2009.26. National Alliance for Pre-Engineering Programs, Project Lead the Way, Available online at www.pltw.org.27. Yasar, S., Baker, D., Robinson-Kurpius, S., Krause, S., and Roberts, C., “Development of a Survey to Assess Page 15.206.10 K-12 Teachers' Perceptions of Engineers and Familiarity with Teaching Design, Engineering
Developing an Engineering TaxonomyIn 1956, Benjamin Bloom first published his widely known taxonomy5. He identified six levelswithin the cognitive domain: knowledge, comprehension, application, analysis, synthesis, andevaluation. The taxonomy advanced teaching and learning by motivating educators to create amore integrated method of educating students. During the 1990’s, a new group of cognitivepsychologists, led by Lorin Anderson, a former student of Bloom, updated the taxonomy toreflect relevance to 21st century work. Table 1 summarizes both old and new taxonomy levels6. Old Bloom’s Taxonomy Version ew Bloom’s Taxonomy Version Knowledge Define, duplicate, list, memorize, Remembering Can the
reasoning in order to make decisions within the project.Once identified, the full mathematical expression or model descriptor is added to the ModelRepresentation. Quantitative Model Components, those characterized by mathematicalequations, are placed inside squares while Qualitative Model Components, those characterizedby descriptive mechanisms and responses, reside in circles. Additionally, a model componentcan be designated as either statistical or empirical in nature by an ‘S’ or ‘E’ in the modelcomponent box. Figure 2 shows the different types of model components and an example ofhow they could appear together in the Model Representation. Figure 2. Primary and Secondary Model Components. Part (a) shows both qualitative (circle) and
needed to betterdetermine optimal methods for utilizing this tool.References1 Camtasia Studio Software, Copyright 1999-2009 TechSmith Corporation, http://www.techsmith.com2 Campbell, C., “On-Line Video-Based Training for Matlab, Mathcad and Maple”, Proceedings of the 2006 ASEEAnnual Conference & Exposition, American Society for Engineering Education (2006).3 Jackson, A., Jackson, S., and Mehta, M., “Applying the Six Sigma Process when Creating A Modular Six SigmaGreen Belt Program”, Proceedings of the 2009 ASEE Annual Conference & Exposition, American Society forEngineering Education (2009).4 Brown, C., Lu, Y.-H., Yale, M., Bennett, D., “On-Line Examinations for Object-Oriented Programming”,Proceedings of the 2009 ASEE Annual
AC 2010-2293: UASPP: THREE YEARS OF HELPING MIDDLE SCHOOLTEACHERS DEVISE THEIR OWN HANDS-ON ENGINEERING AND SCIENCEACTIVITIESShannon Davis, University of ArkansasCarol Gattis, University of Arkansas CAROL S. GATTIS Dr. Gattis is the Associate Dean of the Honors College and Associate Professor of Industrial Engineering at the University of Arkansas. She formerly served as Director of Recruitment, Retention, Honors and Diversity for the College of Engineering at the University of Arkansas. In this latter role, she directed and developed new programs for the college-wide efforts in recruitment, retention and diversity.Bryan Hill, University of Arkansas BRYAN W. HILL
thatstudents are making progress toward achieving the learning outcomes of the capstone project,and by extension progress toward degree program outcomes? This is a serious and difficultquestion often raised as “how do I assess the individual working within the project team?” [2][7].But it is more than how to arrive at a grade. For the instructor, s/he wants to provide formativefeedback early and often during the project to help the student understand the larger context of aspecific issue and how it applies in the real world. For the student, gaining an awareness of thecause-and-effect of her/his choices and actions within a team, and how those judgments translateto the real world is important. For example, consider a project that is falling behind