Pharmacological Sciences, 2001; 22:71-74.5) Macoviski A. Medical Imaging Systems, PrenticeHall, Inc., Englewood Cliffs, NJ, 1983.6) Quinn GB, Taylor A, Wang HP and Bourne PE. “Development of Internet-based multimedia applications,” Trends in Biochemical Sciences, 1999; 24:8:321-324.7) Schmidt A, Brück R, Hahn K, Labeque A, Popovic G, Ohler M, Riedel H, Rizvi N, Stange T. “TRANSTEC - A new tool for online educational multimedia training on innovative high aspect ratio microtechnologies,” Microsystem Technologies, 2000; 6:109-112.8) Suetens P. Fundamentals of Medical Imaging, Cambridge University Press, Cambridge, MA, 2002.9) Webb S. (Ed.) The Physics of Medical Imaging, Institute of Physics Publishing, Philadelphia, PA, 1996
Notes in Computer Science, R. Wyrzykowski, J. Dongarra, K. Karczewski, and J. Waniewski, Eds. Springer Berlin Heidelberg, 2012, vol. 7204, pp. 161–170.7. S. L Jackson, “Research methods: a modular approach,” Wadsworth Publishing Company, 2010.8. https://icme.hpc.msstate.edu/9. Allison, J., “Integrated Computational Materials Engineering: a Perspective on Progress and Future Steps,” JOM Journal of the Minerals, Metals and Materials Society, 2011, 63(4):15-18.10. National Science And Technology, “Materials Genome Initiative for Global Competitiveness,” General Books, 2011.11. M.F. Horstemeyer and D.J. Bammann, “A Historical Review of Internal State Variable Theory for Inelasticity,” Int. J. Plasticity, Vol
, Black people aren’t smart,” or that we can’t do something … I’ve had white people say … “Oh, no, you all can’t do that.” [My response to that is] “Are you serious because I think we have the same type of brain the last time I checked!” … I just like to [put] that in people’s face[s], so when I graduate and have that degree, I’m [going to] have it on my wall. I’m [going to] have a picture on Facebook. I’m [going to] throw that everywhere just so I can [say] … “So now what, because obviously, we’re working in the same office and I’m making more than you!”… I want to prove people wrong because so many people [think] Black people can’t do [engineering].A female student in the coed focus group at HBCU2
0822261). Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation.We would like to thank Dr. Heidi Diefes-Dux for leading the data collection efforts of the projectand the many students at INSPIRE for assisting in data collection and transcription. We wouldalso like to thank Delean Tolbert, Brittany Mihalec-Adkins, and Bailey Mantha-Nagrant for theirhelp with coding the data. Finally, this work benefitted Dr. Şenay Purzer’s contributions toearlier phases of this study.References 1. ABET, 2010-2011 Criteria for Accrediting Engineering Programs. 2009, ABET, inc: Baltimore, MD.2. National Research Council
. (www.nsf.gov/nsb/documents/2003/nsb0369/nsb0369.pdf)2. Augustine, N. “Rising Above the Gathering Storm: Energizing and Employing America for a BrighterEconomic Future”, Committee on Science, Engineering, and Public Policy (COSEPUP), 2007.3. Bochis, C., Hsia, S., Johnson, P., Boykin, K., Wood, S., Bowen, L, and Whitaker, K. “IntegratedEngineering Math-Based Summer Bridge Program for Student Retention”, Proceedings of the 2007American Society for Engineering Education Annual Conference & Exposition.4. Fletcher, S. L., Newell, D.C., Newton, L.D., and Anderson-Rowland, M. “The WISE Summer BridgeProgram: Assessing Student Attrition, Retention, and Program Effectiveness”, Proceedings of theAmerican Society for Engineering Education Annual Conference
particularand engineering curriculum in general than just for CTSS courses. Determining more effectiveways to help students to take a more conceptual approach to learning concepts taught at a higheracademic level will impact a wide range of studies even beyond engineering.VI. References[1] S. So, "Refined ‘Chalk-and-Talk’of Lecture Content: Teaching Signals and Systems at the Griffith School of Engineering," in AAEE 2012, 2012.[2] D. C. Hanselman, "Signals and linear systems: a teaching approach based on learning styles concepts," Education, IEEE Transactions on, vol. 35, pp. 383-386, 1992.[3] J. H. McClellan, R. W. Schafer, and M. A. Yoder, "Experiences in teaching DSP first in the ECE curriculum," in Acoustics, Speech, and
channels, 250 kS/s) willcollate these data and upload them through a wired or wireless link to the central station VI. Thecentral station will present these data in summary form on a ‘dashboard’ that can take variousforms, including a display as indicated in Figure 1 that simply indicates whether all is well,versus a complicated display that depicts current signals/data, sleep-quality metrics, and trends.Raw and processed data will be uploaded and stored in the central Heartspring database that alsoholds data entered by Heartspring paras through their iPod Touch units.Note that the standard Heartspring bed in Figure 1 is a heavy, enclosed wooden structure. Theempty space underneath the bed, inaccessible to the child, can hold the electronic
integrate what they had learnton the course. In ordered to foster ability in design a section on graphical communication wasincluded early in the course (second exercise). The exercises are shown in the exhibit 2 for thepurpose of clarification. Clearly there have been many developments since it was designed thatwould have to be incorporated in a revised course, as for example - 3D printing. The course didnot include practice and experience with electronic circuitry as for example “breadboards”. Page 24.375.8 7Mini Project Purpose(s) – Materials and Method
focus of future research in this area including outreach toincrease knowledge of the importance of haptic activities in STEM instruction.References 1. Study, N. E. (2006). Assessing and improving the below average visualization abilities of a group of minority engineering and technology students. Journal of Women and Minorities in Science and Engineering, Page 24.662.4 2. Study, N. E. (2001). The effectiveness of using the successive perception test I to measure visual-haptic tendencies in engineering students. Unpublished doctoral dissertation, Purdue University.3. Sorby, S. A., Drummer, T., Hungwe
promote the purposes ofcommunication. Communication would become for students something that would allow them tolearn more about what they know. Professors while teaching would also be involved in thelearning process. All involved would benefit. As one writer put it, “I think mentors should berole models, BUT a role model who hasn't forgotten where s/he came from, how s/he got towhere s/he is now and always looking back to see if s/he can help those that came from the verysame place.”3 Everyone has had to write, and engineering faculty continue to have to producetext throughout their careers. By taking their own travels through communication as a means toget engineering students to look at their own tasks, a bond can form that allows for
well.AcknowledgmentsThe authors would like to thank Briana Dorie for her feedback on this paper.Bibliography[1] C. J. Atman, R. S. Adams, M. E. Cardella, J. Turns, S. Mosborg and J. Saleem, "Engineering Design Processes: A Comparison of Students and Expert Practitioners," Journal of Engineering Education, pp. 359 - 379, 2007.[2] ABET, "Engineering Criteria 2000: Criteria for accrediting programs in engineering in the United States, 3rd ed," 2000. [Online]. Available: http://www.ele.uri.edu/faculty/daly/crite- ria.2000.html.[3] National Academy of Engineering, "The Engineer of 2020: Visions of Engineering in the New Century," National Academies Press, Washington DC, 2004.[4] L. Shuman, M. Besterfield-Sacre and J. McGourty, "The ABET "Professional
Laboratory”, Chemistry Education Research and Practice, 8, 3.6. Nuutila, E., Torma, S., and Malmi, L. (2005) “PBL and Computer Programming – The Seven Steps Method with Adaptations”, Computer Science Education, 15, 2.7. Allen, D., and Tanner, K. (2003) “Approached to Cell Biology Teaching: Learning in Context – Problem Based Learning”, Cell Biology Education, Summer, 2.8. Cazzola, M. (2008) “Problem - Based Learning and Mathematics: Possible Synergistic Actions”, ICERI Proceedings, Valenica, Spain.9. Hasna, A.B. (2004) Problem-Based Learning in Engineering Design, Proceedings of the SEFI 36th Annual Conference, European Society for Engineering Education.10. Gomez-Ruiz, S., Perez-Quintanilla, D., and Sierra, I. (2009
required as part of the senior project design course.This process synthesizes all of the basic materials in the core courses and can also be used as part Page 24.730.7of the requirements of the senior project requirements for each student. In the followingsubsections of the paper we are presenting some the HOMER applications.3.2 Solar Radiation and Wind Speed DataThe HOMER simulator will be driven by traces of solar power output s(t) and wind power outputw(t) (see Figure 3 for details). These traces are obtained from empirical data on solar radiationand wind speed at the interest sites or at locations close to that sites. For solar resources the
of the web-based teaching and learning strategies from theworkshop into their course(s). A final highlight regarding dissemination is that Wiley Publishingis using four types of JTF student learning resources in their Wiley Plus e-Learning web platformin the next edition of two materials textbooks. They include: 35 Muddiest Point Tutorial andExample Problem videos; a Muddiest Point data collection tool; a visual glossary vocabulary Page 24.833.4building web flash card resource; and a vocabulary definition-term, multiple-choice set of quickquestions. The body of the paper will discuss the results of the JTF project in more
members.AcknowledgementThis work was made possible by a grant from the National Science Foundation (DUE-112374).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.References[1] Gouran, D. S. (2003). Leadership as the art of counteractive influence in decision-making and problem-solving groups. Small group communication theory & practice: An anthology, 172-183.[2] Baker, D. C. (1990). A qualitative and quantitative analysis of verbal style and the elimination of potential leaders in small groups. Communication Quarterly, 38(1), 13-26.[3] Taggar, S., Hackew, R., & Saha, S. (1999). Leadership emergence in
Century,” Corwin Press.6. Boss, S., Krauss, J., 2007, “Reinventing Project-Based Learning,” International Society for Technology inEducation, Eugene, OR.7. Marra, R. M., Rodgers, K. A., Shen, D., Bogue, B., 2012, “Leaving Engineering: A Multi-Year SingleInstitutional Study,” Journal of Engineering Education, 101, pp. 6-27.8. Mena, I. B., Zappe, S. E., Litzinger, T. A., 2013, “Examining the Experiences and Perceptions of First-YearEngineering Students,” AC2013-6270, Proceedings of the ASEE Annual Conference & Exposition, Atlanta, GA.9. Esmaeili, M., Eydgahi, A., 2013, “By the Students, for the students: A New Paradigm for Better Achieving theLearning Objectives,” AC2013-7138, Proceedings of the ASEE Annual Conference & Exposition, Atlanta
engineering in the first-year course sequences.4) Consistent with the College’s strategic plan, establish a College of Engineering GlobalizationStudies Office with specific responsibilities and funding for study abroad opportunities andcoordination of curriculum globalization activities within the curriculum.Bibliography[1] K. Hovland, "Global Learning: What Is It? Who is Responsible for It?," Association of American Colleges and Universities, pp. 4-7, 2009.[2] G. L. Downey, J. C. Lucena, B. M. Moskal, R. Parkhurst, T. Bigley, C. Hays, K. B. Jesiek, L. Kelly, J. Miller, S. Ruff, J. Lehr and N. Amy, "The Globally Competent Engineer: Working Effectively with People Who Define Problems Differently," Journal of Engineering Education, pp
)a = x1_e x2_e x1_e -1.732 1 x2_e -1 0b = u1 y1 x1_e 0 1.732 x2_e 1 1c = x1_e x2_e y1_e 1 0 x1_e 1 0 x2_e 0 1d = u1 y1 y1_e 0 0 x1_e 0 0 x2_e 0 0I/O groups: Group name I/O Channel(s) KnownInput I 1 Measurement I 2 OutputEstimate O 1 StateEstimate O 2,3Continuous-time model.L = 1.7321
updated by subsequent communications with programadministrators.3. U. S. Bureau of Economic Analysis web site, www.bea.gov, accessed January 3, 2005, Table 1.1.10.Percentage of U.S. GDP Fixed Investments.4. NCEES web site, www.ncees.org, accessed since June 23, 2003.5. EAC-ABET, 2004-05 Accreditation Policy and Procedure Manual, available at www.ncees.org. Page 10.347.46. EAC-ABET, 2005-06 Accreditation Policy and Procedure Manual, available at www.ncees.org. Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering
format to meet project goals and allow each level of student theopportunity to learn something they perceive as valuable. For example, the fall 2002 projectasked each team to design a process capable of producing 200 MM lbs/year of methylmethacrylate (MMA) by retrofitting an existing plant or using new MMA process technology.The deliverables from the project were a review of the patent literature, an estimate of thecredit(s) to be used in the economic analysis, a market forecast for MMA demand, an assessmentof the process safety, health, and environmental implications of the new technology, and a reporton the potential public relations and financial impact of the ‘green’ nature of the proposedtechnology. This problem involved extensive
correlations over longer test-retest intervals, although ideally, a set of test-retest (and retest and retest) correlations over arange of intervals for the same population would be collected. This, however, is difficult to do inpractice; we’ve tried it for intervals up to 16 months, but the loss of participants at any time pointdoes compromise the overall sample size. The active-reflective domain in the present work,however, demonstrated a correlation that was lower than found for much longer test-retestintervals [2, 7], although this correlation was still statistically significant. Again, this may be dueto differences in the population tested. Interval V-V A-R S-I S-G n= Significant? Correlation
EducationReferences 1. Bartholdi, J. (2001) “Bucket Brigades”, “What are Bucket Brigades?”, and Simulated Bucket Brigade Instructions and Materials at http://www.isye.gatech.edu/~jjb/bucket- brigades.html 2. Felder, R. M, & Brent, R. (1996). Navigating the Bumpy Road to Student-Centered Instruction. College Teaching, 44(2),43-47. 3. Felder, R. M, & Brent, R. (2001). National Effective Teaching Institute. Teaching Workshop Materials. 4. Hillier, F. S. and Lieberman, G. J. (1995). Introduction to Operations Research, 6th Edition, McGraw-Hill, Inc. 5. Johnson, D. W., Johnson, R. T., & Smith, K. A. (1998). Active Learning: Cooperation in the college classroom, 2nd edition, Interaction Book Co. 6
EducationReferences 1. Bartholdi, J. (2001) “Bucket Brigades”, “What are Bucket Brigades?”, and Simulated Bucket Brigade Instructions and Materials at http://www.isye.gatech.edu/~jjb/bucket- brigades.html 2. Felder, R. M, & Brent, R. (1996). Navigating the Bumpy Road to Student-Centered Instruction. College Teaching, 44(2),43-47. 3. Felder, R. M, & Brent, R. (2001). National Effective Teaching Institute. Teaching Workshop Materials. 4. Hillier, F. S. and Lieberman, G. J. (1995). Introduction to Operations Research, 6th Edition, McGraw-Hill, Inc. 5. Johnson, D. W., Johnson, R. T., & Smith, K. A. (1998). Active Learning: Cooperation in the college classroom, 2nd edition, Interaction Book Co. 6
Session 3461 An Objectives-Based Approach to Assessment of General Education Lori J. Bechtel, Suzanne Light Cross, Renata S. Engel, Ronald L. Filippelli, Arthur L. Glenn, John T. Harwood, Robert N. Pangborn, and Barbara L. Welshofer Schreyer Institute for Teaching Excellence, The Pennsylvania State UniversityAbstractThis paper describes the development of an innovative strategy to assess how students andfaculty perceive and accomplish the objectives of general education at Penn State. TheUniversity’s general education curriculum is intended to achieve a number of educational goals,including
Explaining Faculty Involvement in Women's Retention Laura Kramer Montclair State University After a period of rapidly increasing female enrollments in engineering (from the mid1970s to the late 1980s), the percentage of undergraduate degrees earned by women climbedvery slowly and has been stuck near twenty percent for more than ten years. Without moredirectly confronting and responding to a relatively unchanged set of cultural and institutionalfactors, gender integration in engineering may have gone about as far as it can. The researchdescribed in this paper helps to fill in the picture of the engineering faculty, whose role(s) androle
“Using Industrial Engineering Tools to Improve Engineering Student Attrition” Erick C. Jones, Satish S. Oswal, Ann Koopman, Brandy Keithley University of Nebraska-LincolnABSTRACT Bright students are leaving Science, Technology, Engineering and Math (STEM) programs.In the landmark study, “Talking About Leaving'', Seymour and Hewitt suggest that eachinstitution should examine its own set of factors as to why students leave these programs, andthen take appropriate action. Previous research has identified multiple reasons for the studentretention problem including attitudes toward the engineering field, student’s self-confidencelevels, quality of instructor interactions, and robustness of
, Mind, Experience, and School, Committee on Developments in the Science of Learning, National Research Council, National Academic Press. 9) Bronet, F. and Schumacher, J. (1999) Design in Movement: The prospects of interdisciplinary design. Journal of Architectural Education, 53(2), pp. 97-109.10) Castellano, M., Stringfield, S. and Stone, J. R., III. Career and Technical Education Reforms and Comprehensive School Reforms in High Schools and Community Colleges: Their Impact on Educational Outcomes for At-risk Youth. St. Paul: National Research Center for Career and Technical Education, University of Minnesota, 2001. http://nccte.org/publications/index.asp11) Chodikoff, I. (2004) Viewpoint. Canadian Architect
& Exposition Copyright © 2005, American Society for Engineering Education”(2). In terms of the decomposed real matrices (C and D) for Z-1 and (kr and ki ) for k,equation (2) becomes: v = (C kr – D ki) + i (D kr + C ki ) (8) The example shown here was for a set of four complex equations which yields a 4x4complex matrix. It should be noted that the spreadsheet is laid out for a set of eightcomplex equations, or an 8x8 complex matrix. When fewer equations are needed, theunused equations should be set up so the remaining unknown variables are defined aszero. This is accomplished by setting 1’s along main diagonal of both the A and Bmatrices, and zeros off
g cl ayi in s st g g pl en pl tin cl os St Sample Events FIGURE 2. Measurements of system power consumption.References1 Wayne Wolf, Computers as Components: Principles of Embedded System Design, MorganKaufman, 2000.2 Ahmed Amine Jerraya and Wayne Wolf, eds., Multiprocessor Systems-on-Chips, MorganKaufman, 2004.3 Douglas Boling, Programming Microsoft Windows CE .NET, third edition, Microsoft Press,2003