AC 2010-1661: A TEAM-BASED NERVE CUFF SIMULATION PROJECT IN ATHIRD YEAR FOUNDATIONS OF BIOMEDICAL ENGINEERING COURSEPurvis Bedenbaugh, East Carolina University Purvis Bedenbaugh is the director of the biomedical engineering concentration within the newly ABET-accredited general engineering program at East Carolina University. He obtained the B. S. E. degree in biomedical engineering from Duke University, the M. S. degree in bioengineering from Clemson University, the Ph. D. degree in bioengineering from the University of Pennsylvania, and was a postdoctoral fellow at the Keck Center for Integrative Neuroscience and Department of Otolaryngology of the University of California, San Francisco
≠ Test discoverer questions ≠ Assigned as a in- class followed by take home exerciseBased on our experience, we have identified the major factors that contribute to the success ofMEA implementation [5]. An important factor influencing MEA success is the guidance fromthe instructor throughout MEA implementation. Limited, corrective guidance can best ensurethat students are properly focused and are addressing the targeted concept(s), especially wherethe solution time is constrained. Such guidance may be
and Wagon in theirannual workshop Rocky Mountain Mathematica. 2 After finishing the different (eight) tutorials,each of the four course modules is introduced. Two weeks of in-class time is devoted to eachmodule. Students are arranged in teams of three or four per group with the group assignmentsalternating between self-selected, random or purposefully chosen. The first period of each two-week block is used to introduce the topic, discuss any new analytical or numerical techniquesthat are relevant and, lastly, talk briefly about the broader societal issue(s) that each modulebrings forth. The remaining two class periods then are used by the students to work on finishingthe module. It should be pointed out that though students are put into
ofLos Angeles Technology degree) and Mechanical EngineeringMichigan Technological Interdisciplinary Minor in Hydrogen TechnologyUniversityUniversity of North Hydrogen and Fuel Cell Technology Concentration (partCarolina Charlotte of Engineering Technology degree)University of North Dakota Concentration in Sustainable Energy EngineeringUniversity of North Dakota M. S. in Sustainable Energy Engineering Page 15.907.6California State University Los AngelesObjectivesThe main goal of the DOE program at CSULA is to establish an effective educational program inHFCT to work with the local industry and support
-64.6Barnett, J.E., Di Vesta, F.J., & Rogozinski, J.T. (1981). What is learned in note-taking? Journal of EducationalPsychology, 73, 181-192.7Foos, P.W., Mora, J.J., & Tkacz, S. (1994). Student study techniques and the generation effect. Journal ofEducational Psychology, 86(4), 567-576. Page 15.1249.6
did you watch the video(s)? 1 (86%) 2 (0%) 3 (14%)2. Did you watch the video outside of class hours? Y (71%), N (29%)3. Did you have foundry experience before watching the videos? Y (100%)4. Was the video helpful in understanding the foundry process? Y (100%)Student comments included some on their impression of the video itself and its length: “shortenthe video”, “the video was a good length”, and “the video was great”. On the video audio: “jazzup the audio”, “narration needs to be much more upbeat”, and “have the dialogue scripted”. On Page 15.444.5the animation and motion: “watch the whole job in fast motion”, and “speed up the animation”.On
the following parameter values Z0 = 300 Ω L = 5200 m Zg= 300 Ω up = 2x108 m/s f = 105 Hz Vg = 1 ∟0° VWe shall examine what happens as we vary the load impedance ZL by considering three cases:1) ZL = ∞ (open circuit termination, Γ = 1 ), 2) ZL = 300 Ω (the matched case, Γ = 0 ) and 3) ZL= 500 Ω (the arbitrary unmatched case, Γ = 0.25 ).Case 1 ZL = ∞ (Open Circuit Termination)The voltage on the line is shown in Figure 2 for 10 values of time over one temporal period. Inthis case the voltage on the line is a standing wave with the associated nodes and antinodes
to increase the Q-factor, can decrease output amplitude. Page 15.974.7 Oscillating Output of the VCO 5 4.5 4 3.5 3 Voltage (V) 2.5 2 1.5 1 0.5 0 0.00E+00 5.00E-09 1.00E-08 1.50E-08 2.00E-08 2.50E-08 -0.5 Time (s
International Conference on Advanced Learning Technologies (ICALT’06), 0-7695-2632-2106.33. Alfonseca, E., Carro, R. M., Artigosa, and Paredes, P., “The Impact of Learning Styles on Student Grouping forCollaborative Learning: A Case Study”, User Modeling and User-Adapted Interaction, Vol. 16, No. 3-4, September2006, pp. 377-401.34. Saeed, N., Yang, Y., and Sinnappan, S. “Emerging Web Technologies in Higher Education: A Case ofIncorporating Blogs, Podcasts and Social Bookmarks in a Web Programming Course based on Students' LearningStyles and Technology Preferences”, Educational Technology and Society, Issue 12, No. 4,pp. 98–109.35. Brown, E. and Pulske, Jo, “An Application of Teaching and Learning Styles: A Case Study
, P., “Finite Element Learning Modules for Undergraduate Engineering Topics using Commercial Software,” Mechanical Engineering Division, Proceedings of the 2008 American Society of Engineering Education (ASEE) Annual Conference & Exposition, Pittsburg, PA, June 22-25, 2008.2. Brown, A., Wood, K., Kaufman, K., Jensen, D., Rencis, J.J., and White, C., “A Novel Assessment Methodology for Active Learning Modules to Equitably Enhance Engineering Education,” Proceedings of the 2009 American Society for Engineering Education (ASEE) Annual Conference & Exposition, Austin, TX, June 14-17, 2009.3. Coffman, J., Liu, J., Brown, A., Terdalkar, S., and Rencis, J., “Finite Element Learning Module for
Society for Engineering Education Annual Conference and Exposition.4. Dym, C., Agogino A., Eris, O., Frey, D., and Leifer, L., “Engineering Design Thinking, Teaching, and Learning,” Journal of Engineering Education, Jan. 2005.5. Ford, R., and Coulston C., Design for Electrical and Computer Engineers, McGraw-Hill, 2008.6. Ulrich, K., and Eppinger S., Product Design and Development, 4th Ed., McGraw-Hill, 2008. Page 15.496.77. Hanson, D., Instructor’s Guide to Process-Oriented Guided-Inquiry Learning, Stony Brook University.
derived from the Self-Regulated Learning in Technologyeducation (SRLT) model. The current findings indicate that technology educatorsaccept and support the proposed reform. We feel that collaboration between universityexperts, the teachers and Ministry of Education supervisors has been a key factor inachieving the desired goals.References1. Thomas, J. W. (2000). A review of research on project-based learning, Autodesk, San Rafael, CA. Retrieved March 15, 2009, from http://www.bie.org/files/researchreviewPBL.pdf2. Barak, M., (2002). Learning good electronics, or coping with challenging tasks? Priorities of excellent students, Journal of Technology Education, 14(2), 20-34.3. Blumenfeld, P. C., Soloway, E., Marx, R. W., Krajcik, J. S
, according to Marchese and others, is an elusive goal. This paper explains a techniquedeveloped and implemented by several Civil Engineering faculty members teaching structuralmechanics, analysis, and design at the United States Military Academy in the Spring, 2009 andthe Fall, 2009 terms to encourage mastery of critical skills and transfer of these skills tosubsequent courses. The concept is called “Problem Set Zero” to stress the fact that the materialbeing evaluated is from the prior course(s) and must be mastered before a student beginsProblem Set One.1. Introduction1.1 Curriculum Structure A common feature of Civil Engineering and other curricula is the establishment ofprerequisite courses which allow students to progress from basic math
collaborations begun at the symposium and whether theywill complete their innovation projects, although several virtual meetings of attendees have beenconducted. Bibliography1. Sheppard, S. D., Macatangay, K., Colby, A., & Sullivan, W. M. (2009). Educating engineers: Designing for the future of the field. The Carnegie Foundation for the Enhancement of Teaching. Hoboken, NJ: Jossey-Bass. Page 15.1064.7
Engineering”, McGraw Hill, 2008.5. A. Hambley, “Electrical Engineering, Principles and Applications”, 4th Edition, Prentice Hall, 2007.6. W. Hayt, J. Kemmerly, S. Durbin, “Engineering Circuit Analysis”, 7th Edition, McGraw Hill, 2008. Page 15.1357.8
", 2nd ed., Princeton University Press, 1957.5. P. Kohl and N.D. Finkelstein, "Patterns of Multiple Representation Use by Experts and Novices during PhysicsProblem Solvings" in Phys. Rev. ST Physics Ed. Research 4, 010111, 2008.6. A. H. Schoenfeld, “What’s All The Fuss About Metacognition?” in Cognitive Science and Mathematics p. 187.Erlnaum, Hillsdale, NJ, 1987.7. Lohmann, S., Ziegler, J., and Tetzlaff, L. "Comparison of Tag Cloud Layouts: Task-Related Performance andVisual Exploration." In Proceedings of the 12th IFIP TC 13 international Conference on Human-Computerinteraction: Part I (Uppsala, Sweden, August 24 - 28, 2009) Page
importantly, our graduates are finding a flattering reflection of their active-learning educational experience in the integration-rich workplace. Architecture is amultidisciplinary field of study that draws on many areas of study. Architecture education mustsuccessfully involve the integration of art, engineering, business, sustainability, and otherdisciplines.References≠ Nicol, D., and Pilling, S., “Changing Architectural Education”, E & FN Spon Press.≠ Boyer, E. and Mitgang, L., “Building Community, A New Future for Architectural Education and Practice”, Carnegie Foundation for the Advancement of Teaching.≠ Kirby, J., Ozcan, H., and Fouad, F., “Sustainability in Engineering and Architecture Design”, Proceedings 2008 ASEE
reported here is a follow-upquestion to a short-answer question. (The short answer question asked those students who wereplanning on continuing in engineering to list their primary reason(s) for pursuing engineering.)The follow-up question asked students to state their level of agreement with this statement:“This class reinforced my decision to continue in engineering.” The average score for the oldcourse was 2.72 (n = 294) and improved to 2.15 (n = 60) for the new course. A 2-sample t-testresulted in a P-Value of 0.000; Cohen’s d equaled 0.57. The significant improvement in student responses begs the question: “is the new courseeasier?” That is, are students more favorable about the course because it is easier? Table 1shows that the grades
strongcommunication skills to effectively communicate technical issues to productdesigners. The desired outcomes of the test engineering graduate certificate wereadopted from ABET’s (a) through (k) outcomes6 shown in Table 1. Table 1 Test Engineering Graduate Certificate Learning Outcomes6 Outcome 1 The application of circuit analysis and design, computer programming, associated software, analog and digital electronics, and microcomputers to the building, testing, operation and maintenance of electrical/electronic(s) systems using laboratory equipments an Automatic Test Equipment (ATE). (ABET 8.a) Outcome 2 An appropriate mastery of the knowledge, techniques, skills and
Time, [s] 4 30 3 25 20PSD 2 CPSD 15 10 1 5 0 0 0 5 10 15 20 25 0 5 10 15
functional mini-desktopCNC machine. The assessment of the Capstone design experiment indicated that the six programoutcomes achieved levels of 80 to 93%.References: 1. “ABET Criteria for Accrediting Engineering Programs”, Effective for Evaluations During the 2007-2008 Accreditation Cycle. WWW.ABET.org 2. J. Ansari, A. Javaheri, S. Tompkins, K. Williamson, “OUTCOME ASSESSMENT PROCESS IN A MANUFACTURING ENGINEERING PROGRAM”, Proceedings of the 2008 ASEE Annual Conference and Exposition. 3. J. Ansari, A. Javaheri, N. Ghariban, “CIM LAB TO SUPPORT MANUFACTURING DESIGN IMPLEMENTATION”, Proceedings of the 2007 ASEE Annual Conference and Exposition
. Page 15.291.10AcknowledgementsThis material was supported by a National Science Foundation grant no. 0935211. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Rampersad, H.K., Integrated and simultaneous design for robotic assembly, Chichester, England: Wiley, 1994.2. Hsieh, S. (2005). "Automated Manufacturing System Integration Education: Current Status and Future Directions," Proceedings of the 2005 ASEE Annual Conference & Exposition, Portland, OR. Page 15.291.11
) distributedhandouts of Linksman’s characterizations and recommendations for each super link.Also in this study, (5) students were shown previous student projects submitted in the earlierMATH 131 courses to introduce each new topic visually and (6) were required to complete amuch more comprehensive project component (hence the term Project-Directed Mathematics).The authors discovered that students’ documented super links did not confirm the previousassumption, that most designstudents by nature would be visual 2 0 0 6 - 2 0 0 7 M ATH 1 3 1 St u d e n t s' Le a r n in g Pr e f e r e n ce sor tactile right-brained learners, thus ( n = 37
were selected: The Journal of EngineeringEducation, Advances in Engineering Education, and the International Journal of EngineeringEducation. These journals were selected for their engineering education specific audience andfull article content availability online. Selection criteria for the articles included theclassification of the article as “mixed methods” by the author(s) or by the specific mention ofqualitative and quantitative data collection in the abstract. Following an initial review of thearticles in each publication, the sample (nine articles) was insufficient to fully characterize mixedmethods research in the field. In light of this an internet search was conducted for additionalengineering education research articles featuring a
and Environmental Engineering, and the Engineering Studies Program. Her research focuses on decision-making for environmental and infrastructure systems. Dr. Jones received a BS Civil Engineering from Columbia University, and a PhD Engineering and Public Policy from Carnegie Mellon University. She is a licensed professional engineer in several states.Christopher Ruebeck, Lafayette College CHRISTOPHER S. RUEBECK is an Associate Professor in the Economics Department at Lafayette College, teaching in the areas of industrial organization, marketing research, introductory Principles and Microeconomics courses, as well as simulation and evolutionary game theory. Dr. Ruebeck holds the
. Page 15.1151.1© American Society for Engineering Education, 2010 Survival Tips from the Trenches Susan A. Lantz, Ph.D.; Trine University; Adrienne R. Minerick, Ph.D., Michigan Technological University; Donna S. Reese, Ph.D., Mississippi State University; Beena Sukumaran, Ph.D., Rowan University Abstract: Panel Discussion: Four women in academia---one with 5-10 years of experience, two with 10-20 years of experience, and one with 20-plus years experience---will offer advice, suggestions, and discuss tips and techniques that worked (or did not work) for them. The panelists include a woman who left academia
25.Retrieved from http://www.webology.ir/2006/v3n2/a25.html6. Maness, J. M. (2006). An evaluation of library instruction delivered to engineering students using streamingvideo. Issues in Science & Technology Librarianship, (48), 6-6. Retrieved fromhttp://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=22189393&site=ehost-live7. Michel, J. P., Hurst, S., & Revelle, A. (2009). Vodcasting, iTunes U, and faculty collaboration. ElectronicJournal of Academic & Special Librarianship, 10(1), 6-6. Retrieved fromhttp://search.ebscohost.com/login.aspx?direct=true&db=lxh&AN=41534766&site=ehost-live8. Osif, B.A., and DeSantis, S.M. (2005). Engineering resources tutorial [Video tutorial]. Penn State