Engineering Education Session 2230Results of the SurveyResponse The survey was completed by 66 students (51 mechanical, 13 civil, 1 electrical, 1unknown), for a response rate of about 8% of students we contacted. The survey was completedby 15 faculty members (7 mechanical, 3 civil, 3 chemical, 1 agricultural, 1 other), for a responserate of about 15% of the college of engineering faculty.Data Fig. 1 presents data for scenarios 6 and 10. On the horizontal axis is the question number(S6a, F10b, etc.), where the capital S (e.g. S6a) denotes a student response, and the capital F (e.g.F10a) denotes a faculty response. Letters a to d
Session 2309 Biomedical Engineering Masters Degree Coupled with a Graduate Level Minor in Business Administration David S. Lalush, Tiffany Harris, Timothy A. Johnson, Stephen B. Knisley, and Stephen R. Quint Department of Biomedical Engineering, The University of North Carolina at Chapel HillAbstractThe Department of Biomedical Engineering (BME) at The University of North Carolina atChapel Hill (UNC-CH), in close association with the Kenan-Flagler Business School at UNC-CH, has developed a graduate minor in Business Administration
of individuals to collectively handle the stressesassociated to an engineering project; that is, reaching goals on time, presence of imprevisibleissues during the project, distribution of work while maintainig a proper coordination of theproject, satisfactory resolution of conflicts, and meeting the challenge of successfullycommunicate the results.In the scheme implemented by our group, we assembly each design team looking forheterogeneity in its composition. In fact, the basic idea is that in real life, each engineer has towork succesfully with people different from him or her. Working with people with differentstyles is important for learning to respect and value differences, taking advantage of suchdifferences in team´s benefit. We
taughtin a vacuum. Philosophies were presented and students recited them, principles were “taught”, butmany times without the students being able to apply them to any real life situation. Math waspresented in such complex ways that students were often discouraged from pursuing careers thatwould require strong math backgrounds. Math educators in the U.S. recognized this was aproblem and in the 1980’s they embarked on a movement to improve the way math is taught. Theprimary goal was to extend instructions beyond rote learning by tying in real life lessons that givethe students the ability to visualize the concepts, and as such improve their retention andunderstanding. An out come of such an approach would be to given the correct activities
Session 2003-2531 AN INDUCTIVE APPROACH TO TEACHING COURSES IN ENGINEERING Robert P. Hesketh, Stephanie Farrell, and C. S. Slater Department of Chemical Engineering Rowan University 201 Mullica Hill Road Glassboro, New Jersey 08028-1701 Reviewer Comments: This was an interesting and informative paper. One thing that I would like to see is an assessment of student learning using the inductive approach vs. the deductive approach. This
examined some existing and also new methods and technologies needed toglobalize CD projects. We also presented our own personal experience with ipTeam software inseveral funded pilot projects. We believe by adopting these technologies into design curriculum,engineering schools will have the same potential of improving their programs that leadingmanufacturing companies have enjoyed through the integration of these technologies into theirs.Bibliography1. Trippp, S.D., Bichelmeyer, B. “ Educational Technology Research and Development”, 38 (1), 31-44, 1990.2. Bunderson, C. V., Gibbons, A. S., Olsen, J. B., & Kearsley, G. P., “Work models: Beyond instructional objectives”, Instructional Science, 10, 205-215, 19813. “Ford, GM Announce
different 5 ‘t’ 5 ‘e’ 5 ‘s’ fourteen different forty minus three seven groups of Approximations approximately 34 (the actual number is 35) approximately 36 (the actual number is 35) almost XXXII (The roman number is 32. The actual number of letters is 33)almost XXXIV (The Roman number is 34. The actual number of letters is 33) About 18% t almost 29 (the actual number is 28) about 29 (the actual number is 27) Inequalities
thedesign and implementation of these learning activities and the analysis of students’ deliverablesin the evaluation of students’ learning outcomes.Project SignificanceThe global challenges facing society are more complex than ever and require a highly educatedand skilled workface. Society’s ability to address these global challenges requires the technicalknowledge of scientists and engineers with master’ s or doctoral degrees 1. These globalchallenges will not be addressed solely by Ph.D.s in the academy but also by Ph.D.s in business,government, and non-profit organizations. Over the past decade, doctoral education has receivednational attention with the discussion focusing on criticisms and reform efforts. One of thecriticisms argues that there
, and graphing. Wewill be collecting data on student performance to analyze how these modules are helpingincoming veterans.A similar effort has been started for review modules dealing with circuit theory. We have usedpaper based exams based on the final exam in the introductory circuits class. As an example aUnited States Navy veteran has successfully gotten credit by exam for the introductory circuitsclass. This exam opportunity was based on his U. S. Navy electrical circuits background and anextensive review of the course material.Another aspect of this project is the inclusion of summer internships for participants. These willbe provided by members of EPAP as discussed earlier and by funded research projects at theuniversity.Kansas State
), and high strain deformation of materials. She is currently a Co-PI in NSF S-STEM and ADVANCE-PAID grants. She is actively involved in outreach activities that introduce middle school students to engineering. Page 25.696.1 c American Society for Engineering Education, 2012Highly Relevant and Productive Collaborations between Industries and UniversitiesIntroductionEngineering education is enhanced by collaborations between industries and universitiesthat provide a platform for students’ internships, research, and development ofprofessional and leadership skills
. References 1. ETA/ Business Relations Group Report. (2005). Addressing the Workforce Challenges of America’s Advanced Manufacturing Workforce. Retrieved September, 5, 2011. 2. Labor Market Information Division, Industry Employment and Labor Force, November 18, 2005. 3. Center for Workforce Success, “The Skill Gap 2001,” P.5. 4. Rosenfeld, S. (1998). Technical Colleges, Technology Deployment, and Regional Development (Organization for Economic Cooperation and Development). Chapel Hill, North Carolina: Regional Technology Strategies, Inc. 5. National Center for manufacturing Education. (2002). Enhancing the Resource Center Role of the National Center for manufacturing Education. Retrieved April 5, 2010. 6. Barger
Engineering, 7th Edition, McGraw-Hill, 2005, pages 836 – 841.3. Seader, J.D., Henley, E.J., Separation Process Principles, 2nd Edition, Wiley, 2006, pages 548 – 613. Page 25.853.84. Felder, R. M., and Rousseau, R. W., Elementary Principles of Chemical Processes, 3rd Edition, Wiley, 2005, pages 275-76.5. Chairat, M., Rattanaphani, S., Bremer, J.B., Rattanaphani, V., An adsorption and kinetic study of lac dyeing on silk. Dyes and Pigments 2005 (64): 231 – 41.6. Smith, A.I. and Wallitsch, E., Comparison of Wool and Silk Dyeing Kinetics using Allura (Red No. 20). Subitted to Dyes and Pigments, Summer 2012
is sensing (S)versus intuitive (N) type (12).The sensing person prefers a straightforward, logical, step-by-step approach to learning. The sensing person, often learns by solving problems, andtends to find theory difficult. The intuitive individual, on the other hand, will skip stepsand follow hunches. He/she learns from theory and tends to do a minimal number ofproblems because they think they understand without having to solve problems (13).Perry’s Model of College Student Development (14) can also be used to monitor studentlearning. According to this model, which consists of nine positions (i.e., stages),occupying four general outlooks; people progress from positions 1 and 2, (dualistic),right versus wrong orientations to multiplicity
, specifically models, to describe how somethingworks.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.0648316. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.BibliographyAngelo, T. A. & Cross, K.P. (1993). Classroom assessment techniques: A handbook for college teachers. San Francisco, CA: Jossey-Bass. Page 25.513.7Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn. Washington, D.C.: National Academy
attain several areas in engineering, for this reason is importantfor all the future professionals be familiarize with this kind of technology. Page 15.401.8References[1] M. Chang. J. He, Enrique Castro-Leon, Service-Orientation in the Computing Infrastructure,2nd IEEE International Symposium on Service Oriented System Engineering, Shanghai, Oct2006, pp 27-33[2] Chen, Y. & Bai, X. (2008), On robotics applications in Service-Oriented Architecture, The28th International Conference on Distributed Computing Systems Workshops proceedings;Beijing, China, 551-556[3] S. Kant Vajpayee (1995), Principles of Computer-Integrated Manufacturing, Prentice Hall
preferences for learning?We will seek to answer these questions with further investigation through engineering studentinquiry. The next step is to survey women and men students in the ARCE major to discern ifboth genders are influenced by the proximity of the program within the College of Architectureand Environmental Design versus the College of Engineering. Along with focused questionsregarding perceived strengths in technical topics as well as communication and collaboration,existing measures of learning style modes will be used including identify students learningpreferences in relation to the major. Possible assessments include the Kolb Learning StyleInventory, Myer-Briggs Type Indicator and Felder ‘s Index of Learning Styles. We hope toshow why
, Austin, TX.3. Komives, S.R., Lucas, N., McMahon, T.R. (2007) Exploring Leadership – For College Students Who Want to Make a Difference. 2nd Ed. Jossey-Bass, John Wiley & Sons.4. Komives, S. R., Owen, J. E., Longerbeam, S. D., Mainella, F.C., and Osteen, L. (2005) “Developing a leadership identity: A grounded theory.” Journal of College Student Development. Vol. 46, No. 6, pp. 593- 611.5. Komives, S. R., Longerbeam, S.D., Owen, J.E., S. D., Mainella, F.C., and Osteen, L. (2006) “A Leadership Identity Development Model: Applications from a Grounded Theory.” Journal of College Student Development, Vol. 47, No. 4, pp. 401-418.6. Karnes, F. A. & Chauvin, J. C. (1985) Leadership Skills Inventory
Advanced”, Prentice Hall, 2004, pp. 623-643.[5] Henry, Paul S., “Interference Characteristics of Broadband Power Line Communication Systems Using Ariel Medium Voltage Wires” IEEE Communications Magazine, April 2005, pp. 92-98[6] Burke, Gerald J., “Numerical Electromagnetics Code – NEC-4, Method of Moments, Part I: User’s Manual”.AcknowledgementsI thank EiF for its grant that provided some pieces of equipment one of which, the Protek3201 RF Field Analyzer has been valuable in the experimental measurements. Myappreciation also goes to Prof. Mohsen Kavehrad for his encouragement in this work. Page 15.123.8
from it. There is no doubt that it is a great idea toteach a data mining course in computer science curriculum. As you can tell, students taking adata mining course need to have background in quite a few areas to be successful. Not everystudent taking this course may have the background required in all these areas. The question ishow can an instructor remedy the challenge of teaching a group of students with widely-rangingbackgrounds, and at what level should this course be taught. Furthermore, the issue of groupwork arises, specifically as to whether data mining course projects should be accomplishedindividually or as teams.Studies show that many universities are teaching data mining course(s) within their computersscience curriculum. Each
Conference Proceedings. 1997.2. DeGoede K, Harding T, Kadlowec J and Lorenz C. ASEE Student Chapters: From Student Members to Faculty. 2001 ASEE Annual Conference Proceedings. 2001.3. Finley C, Logman H, Rijken P, Bueno P, Mahadevan J, Hagenberger M, Hassan A and Barr R. Survival of an ASEE Student Chapter. 2002 ASEE Annual Conference Proceedings. 2002.4. Chan E, Holleran S, McGaughey A and Rasmussen C. ASEE Student Chapters: Avenues for Promoting Future Engineering Educators. 2004 ASEE Annual Conference Proceedings. 2004.5. Visco DP Jr. and Cartwright AN. A New Model for ASEE Student Chapters. Journal of Engineering Education. 2001:641-3.6. Mullenax CA and Dee KC. To Be or Not to Be – A Decision Process for Formation of an ASEE Student
the highest level of salariesand wealthy people. These aspects altogether and the willing to do something to foster the Page 10.632.4engineering formation make it feasible and successful. Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering EducationThe formation of fishing engineering of present world requires the development of skills like tomake research in the fields of Ecology, Biology and Genetics. S/he has to be a professional withscientific mind, capable of finding solutions in according to the
Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Educationany other similar domain. These visualization techniques can be valuable aids not only inteaching in the classroom but also an effective self-directed tool for open learning via the web.Bibliography 1. AbouRizk, S. M., & Sawhney, A. (1994). Simulation and gaming in construction engineering education. Paper presented at the American Society for Engineering Education conference. Retrieved Aug 1, 2003, from www.informs-cs.org/wsc98papers/179.PDF 2. Haque, M.E. (2003). Visualization Techniques for Structural Design Education, Proceedings of the American Society for Engineering Education, 2003
collaborative projects are underway. The Memorandum of Agreementwill enhance scholarly and pedagogical activities and faculty and student developmentopportunities.acknowledgmentsThe authors gratefully acknowledge the contributions of Dr. Edward Smith, Interim Director ofthe International Center at Rowan University, and Julio Parada Pizarro, Director of theInternational Office at la Universidad de La Serena.Bibliography 1. Wormley, D.N., Challenges in Curriculum Renewal, Ibid, 20(3), pp329-332, 2004. 2. Pasek, Z.J., Y. Koren and S. Segall, Manufacturing in a Global Context: A Graduate Course on Agile Reconfigurable Manufacturing, The International Journal of Engineering Education, 2(5), pp742-753, 2004. 3. Sin
Reverse Engineering – The Stimulu”, 2002 ASEE Conference Proceedings, Montreal, Quebec, Canada.7. Robertson, J., Wales, B., Weihmeir, J.,“Reverse Engineering as a Means to Understand Complex Tool Design”, 2004 ASEE Conference Proceedings, Salt Lake City, UT.8. Forsman, D., “Reverse Engineering and Rapid Prototyping: A Senior Level Technical Elective for Mechanical Engineering Students and Much More”, 2004 ASEE Conference Proceedings, Salt Lake City, UT.9. Orta, P., Medoza, R. R., Elizalde, H., Guerra, D., “Engineering Education Through Reverse Engineering”, 2006 ASEE Conference Proceedings, Chicago, IL .10. Shooter, S., “Reverse Engineering to Design Forward: An Introduction to Engineering Experiential Learning
, and computer science.Linda Hirsch, New Jersey Institute of Technology LINDA S. HIRSCH is the Program Evaluator in the Center for Pre-College programs. She has a doctoral degree in educational psychology with a specialty in psychometrics and a Masters degree in statistics. She has been involved in all aspects of educational and psychological research for 15 years. Dr. Hirsch has extensive experience conducting longitudinal research studies and is proficient in database management, experimental design, instrument development, psychometrics and statistical programming.John Carpinelli, New Jersey Institute of Technology JOHN D. CARPINELLI is a Professor of Electrical and Computer Engineering
other Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education types of resources, such as images, videos, sound clips, or additional text, that might be instrumental in explaining and complementing the content of the IS concept map(s). The next level of multidimensionality adopted for IS concept maps involves their possible utilization for better assessment of the two-way transformation between the tacit and explicit types of knowledge within the IS domain. In particular, the main point of interest in this research is evaluation of effectiveness and efficiency of the CM methodology as it relates
Page 15.32.6Literacy, National Academy of Engineering; National Research Council; Greg Pearson and A. Thomas Young,Editors (2002), p. 3.2 Linda S. Hirsch, Siobhán J. Gibbons, Howard Kimmel, Ronald Rockland, and Joel Bloom, “High School Students’Attitudes To And Knowledge About Engineering,” 33rd ASEE/IEEE Frontiers in Education Conference, 2003.Paper #1145 Page 15.32.7
circuits. Students discover the utility of parameter sweeps to optimize theirdesign instead of guessing different values and the utility of their ideal design as astarting point for their finished design. Students were able to use chapters 10 and 11from the SONNET ™ User’s Manual to learn about parameterization. The concept of de-embedding a circuit from connectors and feed lines was introduced. Students readchapters 7 and 8 of the User’s Manual and use SONNET™ ’s de-embedding capability Page 15.850.4during the laboratory exercise. In addition students discover the efficacy of using aSmith Chart rather than a linear graph to display their simulation
switch to full-time research after final exams.The research completed by the exchange students is a collaborative project between theprofessors in the United States and Karlsruhe. Because the duration of each student’s timeabroad is roughly one and a half semesters, consisting of one academic semester and part of thesemester break(s), German and American students overlap at both universities. This interactionoccurs both in the classroom and in the laboratory, and facilitates continuity in the researchprojects.The students and faculty have enjoyed early success with this arrangement. Two of thecollaborative research projects have led to publications in a respected materials science journal.The exchange has also fostered further collaboration