, and “snail mail” are still available, the fact that electronic communication has evolved into the default tool-of-use means that it may be awkward to utilize the other tools.3. Technology and Associated Pedagogy in the Classroom: Related to 1. And 2. is increasing use of technology within the classroom. Although technology has always been a part of laboratory courses, only recently has it begin to compete with chalk and marker boards in lectures. Although offering advantages, there are disadvantages to slides, projectors, smart boards, web sites, distance learning, etc. when it comes to the discipline, effectiveness, and convenience of learning (and teaching). Chalk and marker boards may be “low-tech.”, but they rarely lock-up
AC 2009-823: PATHWAY PROGRAMS FOR UNDERREPRESENTED ETHNICSTUDENTS FROM PRECOLLEGE TO THE COLLEGE OF ENGINEERINGAnant Kukreti, University of Cincinnati ANANT R. KUKRETI, Ph.D., is an Associate Dean for Engineering Education Research and Professor of Civil and Environmental Engineering at the University of Cincinnati (UC), Cincinnati Ohio, USA. He joined UC on 8/15/00 and before that worked 22 years at University of Oklahoma. He teaches structural engineering, with research in experimental and finite element analysis of structures. He has won five major university teaching awards, two Professorships, two national ASEE teaching awards, and is internationally recognized in his primary research
Hydrogen-proton membrane transport proteins and her pedagogical research is in the area interactive teaching and learning strategies for any size classroom.Pat Lancey, University of Central Florida© American Society for Engineering Education, 2009Pat Lancey, University of Central Florida PATRICE M. LANCEY earned her B.A. from Brooklyn College, Brooklyn, New York, in 1974, and an M.A. and Ph.D. in Clinical Psychology from Wayne State University, Detroit, Michigan, in 1979 and 1996 respectively. She joined the University of Central Florida in 2001 where she serves as Director, of Operational Excellence and Assessment Support. Dr. Lancey coordinates the university wide Institutional
AC 2009-1735: ASSESSING TEAM WORK AND ETHICAL AWARENESS ININTERPROFESSIONAL UNDERGRADUATE TEAMS AND ENTREPRENEURIALSTUDENT START-UPS: REPORT #1John Ochs, Lehigh UniversityLisa Getzler-Linn, Lehigh UniversityMargaret Huyck, Illinois Institute of TechnologyScott Schaffer, Purdue University Scott P Schaffer is currently an associate professor in the Educational Technology program in the College of Education at Purdue University where his research and teaching focuses on workplace learning and performance. He received his M.S. and Ph.D. in Instructional Systems from Florida State University and teaches courses such as E-Learning Design, Program Evaluation, Learning Systems Design, and Human Performance
AC 2009-1917: PREPARING STUDENTS FOR SENIOR DESIGN WITH A RAPIDDESIGN CHALLENGEJoe Tranquillo, Bucknell UniversityDaniel Cavanagh, Bucknell University Page 14.978.1© American Society for Engineering Education, 2009 Preparing Students for Senior Design with a Rapid Design ChallengeIntroduction and MotivationDesign is arguably the most important class in an undergraduate engineering curriculum. It can,however, be one of the most challenging classes to teach as it ventures far off the traditionallecture and lab format that students are accustomed to. As engineering educators, we thereforewant to optimize the process such that our students get the most out of the experience
AC 2009-2249: EXPERIENTIAL LEARNING AND STRICTLY PROPER SCORINGRULESJ. Eric Bickel, University of Texas, Austin Page 14.607.1© American Society for Engineering Education, 2009 Experiential Learning and Strictly Proper Scoring RulesAbstractExperiential learning is perhaps the most effective way to teach. One example is the scoringprocedure used for exams in some decision analysis programs. Under this grading scheme,students take a multiple-choice exam, but rather than simply marking which answer they think iscorrect, they must assign a probability to each possible answer. The exam is then scored with aspecial scoring rule, under which students’ best strategy is to
theircomfort and understanding of financial data and that this is a weakness that we need tocorrect in both the undergraduate and graduate programs.Introduction:Students enrolled in our Master of Science degree in technology come from two distinct Page 14.861.2populations; about one-third are entering graduate school immediately after graduatingfrom their bachelor’s degree program while the other two-thirds are non-traditionalgraduate students who are working on their master’s degree while performing full-timeemployment in a technical field, many working in National Laboratories. Both studentpopulations understand that in addition to understanding the
Error Tracking: An Assessment Tool for Small-Enrollment CoursesIntroduction:A program undergoing ABET accreditation must institute a procedure of assessing studentoutcome1. This is often done in class-by-class analysis. Instructors teaching large-enrollmentclasses have enough students that statistically significant assessment data can be collectedwithout significant hardship to the professor. For small-enrollment classes, the same assessmentdata may not provide any meaningful information, as there may or may not be enough datapoints to derive statistically significant conclusions. A novel method of assessment comprised ofcategorizing and tracking individual errors is presented and discussed in this paper as a
industry and held a variety of management and engineering positions including Beta Test Manager for CAD software at Computervision Corporation and in laboratory robotics at Caliper Life Science. She was founder of the New England SolidWorks Users Group, former Vice-President of the Pro|E New England Users Group and has presented at numerous technical conferences including SolidWorks World, American Society of Engineering Education, American Society of Mechanical Engineers, the Presidential Awards for Excellence in Mathematics and Science Teaching, the Science, Technology, Engineering and Mathematics (STEM) Summit and resides on the Northeastern University Engineering Advisory Board
. She recently won an award for maximum number of publications in a year from chemical engineering department at MSU. She is associated with Medical Micro Device Engineering Laboratory (M.D.-ERL) at MSU working under Dr. Adrienne Minerick. Soumya is been an active member of AIChE, AES, ASEE, SWE and Sigma-Xi.Anurag Srivastava, Mississippi State University Anurag K. Srivastava received his Ph.D. degree from Illinois Institute of Technology (IIT), Chicago, in 2005, M. Tech. from Institute of Technology, India in 1999 and B. Tech. in Electrical Engineering from Harcourt Butler Technological Institute, India in 1997. He is working as Assistant Research Professor at Mississippi State University since
http://www.engr.ncsu.edu/learningstyles/ilsweb.html 3 R.M. Felder and L.K. Silverman, “Learning and Teaching Styles in Engineering Education,” Engr. Education, 78(7), 674-681 (1988). 4 R.M. Felder and J.E. Spurlin, “Applications, Reliability, and Validity of the Index of Learning Styles,” Intl. Journal of Engineering Education, 21(1), 103-112 (2005). 5 R.M. Felder and R. Brent, “Understanding Student Differences,” J. Engr. Education, 94(1), 57-72 (2005). 6 R.M. Felder, “Matters of Style,” ASEE Prism, 6(4), 18-23 (December 1996). 7 R.M. Felder, G.N. Felder, and E.J. Dietz, “The Effects of Personality Type on Engineering Student Performance and Attitudes,” J. Engr. Education, 91(1), 3-17 (2002).8 D. G. Meyer, “Strategies for
research in manufacturing can be quickly and effectively transferred from research projects or industry developments into manufacturing curricula. Session 3: Emerging Methods of Educational Delivery - Alternatives to lecture-based instruction; activity- based learning; project-based learning; case-study based learning; role of laboratories – projected changes, distance learning – Web based; distributed hybrid; role of cooperative education; internships; industry-based education; continuing education, etc. Session 4: Manufacturing Topics in Other Engineering Disciplines - Manufacturing immersed in other (non-manufacturing-named) engineering curricula (mechanical, industrial, electrical
; ≠ Homework assignment and test problem from a first-year course15 directed toward students’ abilities to access and evaluate information in the libraries and on the World Wide Web. ≠ Reports from a variety of design projects, laboratories, or research-based analyses in which students cite data in developing an argument. These types of assignments provide measures of the abilities to access and evaluate information, cite information ethically and in proper format, and utilize information to accomplish a particular purpose. As students progress through the curriculum, they are exposed to a greater variety and greater complexity of data, including data presented in tabular and graphical formats. In
AC 2009-1425: VIRTUALIZING FIRST FOR IMPROVED RECRUITMENT OFSTUDENTS IN COMPUTER SCIENCE AND ENGINEERINGJohn Bowles, University of South Carolina John Bowles is an Associate Professor in the Computer Science and Engineering Department at the University of South Carolina where he teaches and does research in reliable system design. Previously he was employed by NCR Corporation and Bell Laboratories. He has a BS in Engineering Science from the University of Virginia, an MS in Applied Mathematics from the University of Michigan, and a Ph.D. in Computer Science from Rutgers University.Caitlin Buchhaults, University of South Carolina Caitlin Buckhaults is an undergraduate student majoring in Computer
AC 2009-2234: ENGINEERING DESIGN EDUCATION FOR INTEGRATEDPRODUCT REALIZATIONMohamed El-Sayed, Kettering University Dr. Mohamed El-Sayed is a professor of Mechanical engineering and director of the Hybrid Electric Vehicle Systems Integration Laboratory, Kettering University. He is the current editor of the SAE journal of Materials and Manufacturing. Dr. El-Sayed has over thirty years of teaching experience in the area of design, design simulation, design optimization, and automotive design. Dr. El-Sayed has over twenty years of Automotive Design, Development, and Validation experience. Dr. El-Sayed was the lead engineer on the design optimization and quality/Durability/Reliability Integration of
AC 2009-2274: ASSESSING TEAM EFFECTIVENESS: COMPARINGPEER-EVALUATIONS TO A TEAM EFFECTIVENESS INSTRUMENTJunqiu Wang, Purdue UniversityP.K. Imbrie, Purdue University P.K. Imbrie is an Associate Professor of Engineering in the School of Engineering Education at Purdue University. He teaches first-year engineering courses as well classes in Aerospace Engineering. His research interests include: epistemologies, assessment, and modeling of student learning, student success, student team effectiveness, and global competencies; experimental mechanics; and piezospectroscopic techniques. Page 14.249.1
. His research interests, grants, and publications are in the areas of AC/DC Power System Interactions, distributed energy systems, power quality, and grid-connected renewable energy applications. He is a member of ASEE, IEEE, Tau Beta Pi National Engineering Honor Society, and NAIT. Dr. Pecen was recognized as an Honored Teacher/Researcher in “Who’s Who among America’s Teachers” in 2004-2008. He was also nominated for 2004 UNI Book and Supply Outstanding Teaching Award, March 2004, and nominated for 2006, and 2007 Russ Nielson Service Awards, UNI. Dr. Pecen is an Engineering Technology Editor of American Journal of Undergraduate Research (AJUR). He has been serving as a reviewer
Education Through Multi-Disciplinary Nationally Relevant Projects: The Solar Decathlon Project., session 2632, Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition3. Alex See, “Hands-on learning and implementing using LabVIEWTM for undergraduates in 13 weeks,” session number 2756, Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition4. E.L. Ferguson and M. Hegarty, “Learning with real machines or diagrams: application of knowledge to real-world problems”, Cognition and instruction, Vol. 13, No. 1, pp 129-160, (1995)5. Nirmal Das, “Teaching/Learning Modules For Structural Analysis” American Society for Engineering Education, 20066
main emphasis of the ProductDevelopment course is to teach systematic design methodology, and to expose students to thetools and techniques currently practiced in industry. This prepares students to apply some of theabove tools and techniques to their senior project.Senior Seminar:Students are required to propose ideas for their senior project in Senior Seminar. These ideasmay originate from industry, departmental faculty, national competitions, by themselves, or anyother sources. By the end of this course, all students must have a written, detailed projectproposal, which includes research, cost estimates, customer surveys, and tentative schedules, etc.Students are assigned a project advisor who works with them to finalize the proposal
AC 2009-649: AN ENERGY-HARVESTING CURRICULUM DEVELOPED ANDOFFERED AT THE ILLINOIS INSTITUTE OF TECHNOLOGYOmer Onar, Illinois Institute of Technology (IEEE S’05) received his B.Sc. and M.Sc. degrees in electrical engineering from Yildiz Technical University, Turkey, in 2004 and 2006 respectively. He was a research scholar in Electrical and Computer Engineering Department at the University of South Alabama (USA) from August 2005 to August 2006 and involved US Department of Energy projects based on power management for fuel cell applications. Currently, he is a doctoral research assistant at the Energy Harvesting and Renewable Energies Laboratory (EHREL) at the Electric Power and Power Electronics Center
. Page 14.1186.5At the same time, the algorithms-first approach has several critical weaknesses. Important amongthem is lack of practical experience as these algorithms/pseudo codes cannot be executed andtested. Additionally this approach doesn’t provide the holistic view of the discipline. Finally, thealgorithms-first approach requires substantial grading effort [8].The “hardware-first” approach teaches the basics of computer engineering beginning at themachine level and builds up toward more abstract concepts. The basic philosophy behind thisstrategy is for students to learn about computing in a step-by-step fashion that requires as littledemystification as possible. The syllabus begins with switching circuits, uses those to makesimple logic
AC 2009-197: ASSESSMENT OF PROGRAM OUTCOMES FOR ABETACCREDITATIONHakan Gurocak, Washington State University, Vancouver Hakan Gurocak is Director of School of Engineering and Computer Science and Associate Professor of Mechanical Engineering at Washington State University Vancouver. His research interests are robotics, automation, fuzzy logic, technology assisted distance delivery of laboratory courses and haptic interfaces for virtual reality. Dr. Gurocak is an ABET Program Evaluator for mechanical engineering.Linda Chen, Washington State University Vancouver Dr. Xiaolin Chen is an Assistant Professor in the School of Engineering and Computer Science at Washington State University Vancouver. She
prepared, they probably will fail.”The author has experienced this same problem of unprepared students in her teaching. In acourse she is currently teaching, it is clearly stated on the syllabus for a junior level statisticscourse that the best way to prepare for the course is for the student to read ahead on the materialto be covered each class period. Students, in general, do not want to hear this. In fact, a studentwrote on the course evaluation under “what was not good about the course” that he was nothappy about the course because he was expected to take his text to class! Sometimes problemsgiven in the text exercises are worked out in class. If the student has his text, then class timedoes not need to be taken to copy down the whole problem
Engineering (1982), and a Master degree in Electrical Engineering (1986) from North Carolina A&T State University. Prior to her current position at UNC-Charlotte, Nan worked for IBM (15 years) and Solectron (8 years) in the area of test development and management. She teaches the senior design course and manages the standalone computers in the Electrical Engineering department.William Heybruck, University of North Carolina, Charlotte William Heybruck received his Ph.D. in Electrical Engineering from the University of North Carolina at Charlotte in 2001. Prior to becoming the Director of the UNC Charlotte College of Engineering Industrial Solutions Laboratory he was a Senior Engineer for
staff greatly contributed to the success ofthe program so far. CIESE staff also maintains a PISA website that features recommendedresources and highlights of the school year. Recommended strategies for classroom visits are acombination of co-teaching, modeling, and observation/feedback. Moreover, it can not beemphasized enough, that encouraging the teachers and helping them get past any barriers was theheart of the mentoring and ultimately the success of the program.References1. Engineering is Elementary. http://www.mos.org/eie/20_unit.php. Accessed February 4, 2009. Page 14.275.5Page 14.275.6Page 14.275.7Page 14.275.8Page 14.275.9Page
revolution5 due to thefact that there is not really a new pedagogical methodology in the way of teaching. The realchange is based on the new services, and the new possibilities that they offer to both students andteachers. Page 14.1040.3The concept of e-learning was used to define the online environments where students rarelycame to the university. Over time the offer of distance learning courses has increased, relievingtraditional courses. These courses also include doctoral programs. Table 1. Different current Technologies Technologies Wiki & Blogs
AC 2009-1337: TEAM WORK AND DEMOCRATIC LEARNING IN PROJECTMANAGEMENT TRAININGIvan Lidon, University of Zaragoza MSc from the Engineering Faculty of Zaragoza University. He has worked as assistant at the Design and Manufacturing Engineering Department of the University of Zaragoza since 2004. His current interests are project management and product development areas.RUBEN REBOLLAR, University of Zaragoza MSc and Doctor from the Engineering Faculty of University of Zaragoza.. He is Associate Professor in the Design and Manufacturing Department at this university In his present academic career he is focused on teaching and researching in the areas of project management and product
. Relationship of technology and engineering to mathematics and science 6. Gender and technology and engineering 7. Connection of technology and engineering to problem solving 8. Problem solving confidence and capability Page 14.207.2Having determined the measurement criteria, instrument statements were needed. Previousengineering and technology surveys were studied to find example statements for similarcriteria.2-4 Statements addressing our unique set of criteria were then drafted and presented to apanel of experts having over 50 years of combined teaching experience in engineering andtechnology at the middle school through college level. The
Page 14.688.2axis. In the emulation mode, the simulation is performed on the computer hardware that willimplement the controller. In this mode the student can ensure their algorithm will run in real time(i.e., the algorithm’s execution time is less than the sample period). In the implementation mode,the controller is deployed on the hardware system and experimental data is gathered. The RDSprovides the interface needed to operate the controller in these three modes.There has been an abundance of work in developing hardware control laboratories including, toname only a few, double tank system [1], inverted pendulum [2], inverted double pendulum[3,4], triple inverted pendulum [5], and ball and beam [6], ball and beam on a roller [7].However
ofthe Clare Boothe Luce Program to increase the participation of women in the sciences andengineering. The key word is “institutional” commitment. Some institutions write about afemale faculty member, several female faculty members or a student organization whoimplement pre-college, retention or mentoring activities. Such examples describe activitieswhich may be admirable, but are taking faculty and student time away from important teaching,research, or learning responsibilities. True institutional commitment is evident through thesignificant commitment of institutional resources to counteract factors that limit the progress ofwomen; efforts to increase the participation and advancement of women that are proactive andinstitutionally sponsored