: Lawrence Erlbaum Associates, Inc., 2003, pp. 71-94.[9] Bandura, A., Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall, 1986.[10] Fletcher, J., “Self Esteem and Cooperative Education: A Theoretical Framework,” Journal of Cooperative Education, 26(3), 1990, pp. 41-55.[11] Lent, R. W., Brown, S.D., & Hackett, G., “Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice, and Performance,” Journal of Vocational Behavior, 44, 1994, pp. 79-122.[12] Engineering Workforce Commission of the American Association of Engineering Societies, Inc., Engineering and Technology Degrees 2005.[13] National Science Board, Science and Engineering
is incumbent to continue such surveys and track the “alumni” of this course to make sure that we are making the proper changes that ultimately increase the number of students interested in STEM.Bibliography 1. Critical Path Analysis, California Council on Science and Technology, 2002. 2. 2003 University Eligibility Study, California Postsecondary Education Commission, 2003. Proceedings of the 2008 American Society for Engineering Education Pacific Southwest Annual Conference Copyright © 2008, American Society for Engineering Education
Engineering Design Process Environment: Technological Design & Economic Analysis Political Alternatives Social Generation Modeling & Analysi s Problem Decision Definition Making EngineeringCurrent Status: Needs Design Comparison of
Engineering Design Process Environment: Technological Design & Economic Analysis Political Alternatives Social Generation Modeling & Analysi s Problem Decision Definition Making EngineeringCurrent Status: Needs Design Comparison of
Engineering Design Process Environment: Technological Design & Economic Analysis Political Alternatives Social Generation Modeling & Analysi s Problem Decision Definition Making EngineeringCurrent Status: Needs Design Comparison of
AC 2008-569: APPROACHING QUESTIONS OF RESEARCH QUALITY IN ANINTERPRETIVE INVESTIGATION OF ENGINEERING STUDENTS’COMPETENCE FORMATIONJoachim Walther, University of Queensland Joachim is a PhD scholar with the Catalyst Research Centre for Society and Technology at the University of Queensland. The objective of the Centre is to create innovative, sustainable solutions to complex social and technological challenges facing industry and the community, through the fusion of social science and engineering perspectives. Joachim’s PhD research is in the area of engineering competence and particularly looks at the formation of Accidental Competencies in undergraduate education. The research involves a
Undergraduate Science, Technology, Engineering and Mathe- Page 13.126.10 matics. eds. 2002 [Available from: http://www.pkal.org/documents/ReportonReports.pdf].12. Improving Undergraduate Instruction in Science, Technology, Engineering, and Mathematics: Report of a Workshop. R.A. McCray, R.L. DeHaan, and J.A. Schuck, eds. The National Academies Press, Washing- ton, DC 2003].13. Felder, R.M., It Goes Without Saying. Chem. Eng. Ed., 1991. 25(3): p. 132.14. Dixon, A.G., W.M. Clark, and D. DiBiasio, A project-based, spiral curriculum for introductory courses in ChE: Part 2. Implementation. Chem. Eng. Ed., 2000
highersuccess rate in completing their education and stay in engineering after they graduate.This paper aims to present a comprehensive review and analysis of the existing research on the measurement ofthe characteristics of engineering students. Since students from science, technology and mathematics sharemany common characteristics as engineering students, the focus of the discussion is centered around but notlimited to the framework of engineering education. The representative research studying the common students’characteristics from the fields of science, technology, engineering and mathematics (STEM) have also beenincluded in the discussion. The coverage of this survey spans across the major academic journals, researchbooks and conference
AC 2008-843: A PROJECT-DRIVEN APPROACH TO TEACHING CONTROLS INA GENERAL ENGINEERING PROGRAMJason Yao, East Carolina University Dr. Jianchu (Jason) Yao joined the Department of Engineering at East Carolina University as an Assistant Professor in August, 2005. He received a B.S. and M.S. degrees in electrical engineering from Shaanxi university of Science and Technology, China, in 1992 and 1995, respectively, and the Ph.D. degree in electrical engineering from Kansas State University in 2005. His research interests include wearable medical devices, telehealthcare, bioinstrumentation, control systems, and biosignal processing. His educational research interests are laboratory/project-driven
accuracy would drop slightly to 70.5%.Results from training and testing the same model using student data from different cohortsindicate the ANN model’s predictive performance is generally stable across different cohortyears. Also, a model trained with earlier year (2004) freshman cohort’s data has maintained itspredictive power very well when tested with student data from later (2005 and 2006) cohorts.IntroductionAs Thomas Friedman described in his best selling book ‘The World is Flat’1, the world hasbecome flatter because of the numerous new technologies and developments in the past decades.Engineers in India, China or other parts of the world today are now able and eager to competedirectly with the engineers from the United States. An alarming
degrees are in Metallurgical Engineering from Michigan Technological University and his Ph.D. is in Educational Psychology from the University of Minnesota. He has co-written eight books including Cooperative learning: Increasing college faculty instructional productivity; Strategies for energizing large classes: From small groups to learning communities; and Teamwork and project management, 3rd Ed.Reed Stevens, University of Washington REED STEVENS is an Associate Professor in the College of Education at the University of Washington. He specializes in ethnographic and comparative approaches to studying how people learn, especially in disciplines related to mathematics, science
Bailey is a Ph.D. student at the Center for Design Research in the Mechanical Engineering Department at Stanford University. Her research interests include academic and professional identity development of engineering students, academic advising of engineering students, history of engineering education in the U.S., and the organization of engineering education programs. Ms. Bailey received a Bachelor's Degree in Mathematics from Spelman College and a Bachelor's Degree in Mechanical Engineering from the Georgia Institute of Technology where she was a NASA Women in Science and Engineering Scholar. She also holds a Master's Degree in Mechanical Engineering from Stanford University.Sheri
. If a practicing engineer is unsuccessful at obtainingacademic job placement, the opportunities in industry are limited as well. Because theengineer has been in academics for 4 to 5 years, technology has changed. Returning evento the same caliber position that an engineer left may be impossible, for few companiesare likely to hire an engineer with a Ph.D. for non-research or supervisory positions.When corporations face rough times, the advanced research organizations which employPhDs are often the first areas to be cut, resulting in unemployment. Thus, manygraduating Ph.D.s face the prospect of underemployment12.8. ConclusionsThe issues effecting professionals returning to graduate school are numerous andcomplex, and in many cases, unique to
Background2.1 Approach in Design CurriculumThe functional modeling method has been or is currently used in several design relatedcourses at the Missouri University of Science & Technology (Missouri S&T and formerlyknown as the University of Missouri-Rolla) such as IDE 20 Introduction to EngineeringDesign with Computer Applications, IDE 105 Design Representations, IDE 106 DesignPerceptions, IDE 220 Engineering Design Methodology, IDE 315 InterdisciplinaryDesign Project, IDE 420 Modern Product Design, IDE 427 Function-Based RiskAnalysis, and ME 161 Introduction to Design. Other universities also apply functionalmodeling techniques such as Penn State, Carnegie Melon University, University of Texasat Austin, Virginia Tech, and Bucknell University
, ordecisions based on their own experience as students” resulting in teaching practices which are“often disconnected from the literature base in education.”1 The National Science Foundationfunded project described in this paper seeks to develop theoretically-grounded instruments thatprovide pedagogical feedback to graduate teaching assistants about the quality of theirinstruction. This project began with the testing of a modified portion of the VaNTH ObservationSystem (VOS)5-11. The VaNTH Engineering Research Center (an acronym based on the names ofthe member institutions: Vanderbilt University, Northwestern University, University of Texas atAustin, and the Harvard/Massachusetts Institute of Technology Division of Health Science andTechnology
positions at John Deere and Amkor Technology. Her research interests are in the area of quality, productivity improvement, supply chain, lean manufacturing and engineering education. Dr. Bonilla consults, instructs, and collaborates on quality improvement projects with representatives from healthcare, as well as traditional manufacturing operations. She is an ASQ certified Six-Sigma Black-Belt.Leonard Perry, University of San Diego Leonard Perry is an Associate Professor of Industrial & Systems Engineering at the University of San Diego. He has research interests in the area of system improvement via quality improvement methods especially in the area of applied statistics, statistical
been designed and built as part of an ASHRAEfunded senior design project. The final cost of the entire system was $4593, excluding theattached computer and LabVIEW software which was already available.The unit has undergone preliminary testing with all experiments performed by undergraduate andgraduate students. It is expected that experimental work with students will continue in thefuture. This gives them valuable hands-on experience with both the applied technology and thebasic experimentation concepts.Several potential applications currently exist within the mechanical engineering curriculum forthis demonstration unit. In the future it will be integrated into the undergraduate thermo-fluidsexperimentation course. Students will be expected
purpose of the modules is to introducemathematical concepts through modeling real-world applications and is intended to develop thestudents’ ability to generalize a concept and to work with models of varying abstraction. Theauthors represent an interdisciplinary team contributing expertise from the fields of mathematics,computational science, and teacher education.IntroductionPostmodern technology is characterized by great complexity and demands tremendous modelingand abstraction capabilities. For students to be successful in most engineering program, theyshould be able to apply the mathematics to model this complexity1,2. Problem-solvingexperiences have been advocated for decades in numerous textbooks, reference articles, andteaching
has served as an educational consultant for centers in Texas and Louisiana, and he is an active member of the Leadership Team for Undergraduate Programs at Louisiana Tech University. Page 13.739.1© American Society for Engineering Education, 2008 Increasing Student Success in Engineering and Science through a Freshman Enrichment ProgramAbstractOur College of Engineering and Science (COES) has implemented a Freshman EnrichmentProgram (FrEP) to help meet our overall goal of increasing the number of STEM (Science,Technology, Engineering, and Mathematics) graduates prepared to successfully
controllers that allow fireprotection systems to be designed from scratch. This is in contrast to the mostly preprogrammedcommercial fire alarm signaling systems control panels that are also used in the ENGR-1403 lab.The use of the ENGR-1403 lab programmable logic controllers also acquaints students withprogrammable logic control which is an important tool that is used in industry. The students firstlearn to program logic by using functional blocks and logic diagrams in LabVIEW. The studentsthen use the lab logic controllers to program mnemonics and logic diagrams for fire alarmsystems.BackgroundThe ENGR-1403 course of the Engineering Technology department contains the design,installation, maintenance, and utilization of fire appliance and pre
high school students.These include an emphasis on hands-on activities and team projects with minimal lectures, andfield trips to local industries to illustrate applications of concepts learned in program. In additionto developing technical skills, it is important for prospective engineers to develop professionalskills. The Accreditation Board for Engineering and Technology (ABET) has identifieddesirable professional skills for engineering graduates6. These include the ability to function onmulti-disciplinary teams, an understanding of professional and ethical responsibility, and theability to communicate effectively. Therefore, to properly educate students about theengineering field, our program incorporates both technical and professional
-learning projects that involve meaningful reflection will helpdevelop better engineers, Coast Guard Officers, and citizens.References 1 Jamieson, L.H. “The Case for Engineering Service-Learning”. Presented at the NAE Conference for Service Learning in Engineering. May 24, 2006. 2 The United States Coast Guard Academy Catalog of Courses. 2006-2007. New London, CT. 3 Accreditation Board for Engineering and Technology (1998) Engineering Criteria 2000. 4 Rosser, S. “Effectiveness of Service Learning: Does it Make Engineering More Female Friendly?” Presented at the NAE Conference on Service Learning. May 24, 2006. 5 Tsang, E. (2000) “Introduction” In: Projects that Matter: Concepts and Models for Service-learning in Engineering. American
-learning projects that involve meaningful reflection will helpdevelop better engineers, Coast Guard Officers, and citizens.References 1 Jamieson, L.H. “The Case for Engineering Service-Learning”. Presented at the NAE Conference for Service Learning in Engineering. May 24, 2006. 2 The United States Coast Guard Academy Catalog of Courses. 2006-2007. New London, CT. 3 Accreditation Board for Engineering and Technology (1998) Engineering Criteria 2000. 4 Rosser, S. “Effectiveness of Service Learning: Does it Make Engineering More Female Friendly?” Presented at the NAE Conference on Service Learning. May 24, 2006. 5 Tsang, E. (2000) “Introduction” In: Projects that Matter: Concepts and Models for Service-learning in Engineering. American
assigned many ofthe newly hired engineers to work groups that were developing, validating, and bringing toproduction new technologies to meet the highly competitive demands of the market. Most of thenewly hired engineers were mechanical and electrical engineers.Following the logic of theoretical or purposeful sampling37, 41, managers in the organizationidentified individuals to interview for the purpose of collecting rich, in-depth informationaddressing the research questions. All participants had less than two years experience with thisorganization; and included male and female participants, as well as different ethnic groups. Also,participants came from various work groups in the organization. Work groups were organizedaround specific processes
. Moore, “First-Year Engineering Themed Seminar: A Mechanism for Conveying the Interdisciplinary Nature of Engineering,” Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition (2005).19. T. Rutaw and G. Mason, “A Learning Community of University Freshman Design, Freshman Graphics, and High School Technology Students: Description, Projects, and Assessment,” Journal of Engineering Education, 94, pp. 245-254 (2005).20. J. E. Froyd and M.W. Ohland, “Integrated Engineering Curricula,” Journal of Engineering Education, 94, pp. 147-164 (2005).21. D. Pines, M. Nowak, H. Alnajjar, L. I. Gould, and D. Bernardete, “Integrating Science and Math into the Freshman Engineering
& Students in Transition, Addison, TX, February 2007.17. Klingbeil, N.W., Mercer, R.E., Rattan, K.S., Raymer M.L. and Reynolds, D.B., “Redefining Engineering Mathematics Education at Wright State University,” A Dialogue on Engineering Education: The Role of the First Year, ASEE First Year Engineering Workshop, Notre Dame, IN, July 2006.18. Klingbeil, N.W., Mercer, R.E., Rattan, K.S., Raymer M.L. and Reynolds, D.B., “Redefining Engineering Mathematics Education at Wright State University,” Ohio Council of Teachers of Mathematics Conference, Dayton, OH, October 2005.19. Kerr, A.D., and Pipes, R.B., 1987. “Why We Need Hands-On Engineering Education.” The Journal of Technology Review, Vol. 90, No. 7, p. 38.20. Sarasin, L
form small groups and to create a list of all of the things that “dig-ital” means to them. The answers would surprise most engineers: while they identify the moreutilitarian aspects of digital technology (faster, better picture, smaller), they also use words like“sleek,” “precise,” and “sophisticated.” We then introduce them to the basic concepts of digitalsignals, especially the idea that a digital signal is sampled, and because of that we need to worryabout quantization and aliasing. Both effects are demonstrated using winSK6 in the classroom.For quantization, the students are asked to guess how many bits of resolution we need in a musicsignal before they won’t be able to recognize it; no one yet has offered up the correct answer of onebit
“I am a pilot and have great interest in aviation” “I enjoy flying, and I have build model planes before. Doing that on a life-size scale would be fun.” “I have been interested in flying since I can remember and have figured an aeronautical engineering degree would fit nicely with a pilot's license in the job world. I would then have the practical background to not only fly and airplane but still be able to design them also. This is really just the job description of a test pilot or astronaut.”Interested in space “I have always been interested in space and space technology.” “I
nature of thetask undertaken.A number of researchers have looked at self-efficacy as it relates to careers and have found thatself-efficacy is strongly related to both the range of career options as well as careerpreferences2,3. For example, Hackett 4 and Hackett and Betz 5 have examined mathematical self-efficacy because of the importance of quantitative skills to science, technology, engineering andtechnology careers. Their research indicates that individuals avoid some careers because ofperceived mathematical ability rather than actual mathematical ability. Interest in specific aspectsof a career and self-efficacy go hand in hand. Individuals with an high self-efficacy in sciencehave a strong interest in theoretical abstract activities and
AC 2008-1337: FRESHMEN ENGINEERING: THE INFLUENCE OF STUDENTFEEDBACK AND INVOLVEMENT ON A COURSE TEACHING MATLAB ANDLABVIEWDavid Illig, Clarkson University David Illig is an Undergraduate Teaching Assistant in the Electrical and Computer Engineering Department.John Hrynuk, Clarkson University John Hrynuk is an Undergraduate Teaching Assistant in the Mechanical and Aeronautical Engineering Department.Matthew Pennington, Clarkson University Matthew Pennington is an Undergraduate Teaching Assistant in the Mechanical and Aeronautical Engineering Department.John P. Dempsey, Clarkson University John P. Dempsey is a Professor in the Civil and Environmental Engineering Department