speeding up the inventingprocess. They use databases of about two million patents clustered according to inventiveprinciples. Given a problem the software directs the user to several clusters of patents that solvesimilar or related problems. Recently we purchased and used the basic versions of TRIZ softwarefrom Ideation International Inc. and Invention Machine Inc.b5) Learning to use several different patent databases for searching for patents and ideas via theinternet.The US Patent and Trademark Office (www.uspto.gov), and IBM (www.ibm.com/patents)provide databases for “smart” patent searches.b6) Practicing the eight dimensional strategies using 3-D mechanical puzzles. Example: Three cups containing two marbles each are labeled as follows
University and a Ph.D. from N.C.S.U.Kenneth Ports, QTS, Inc. Dr. Kenneth A. Ports is currently Senior Scientist at QTS, Inc. in Cocoa Beach, Florida. Until recently, Dr. Ports was a Professor in the Electrical and Computer Engineering Department and Associate Dean in the College of Engineering at Florida Tech. Prior to Florida Tech, Dr. Ports spent 25 years in the microelectronics industry in technical, management, staff and internal consulting roles. He led several corporate programs, including project management, product to market, technology roadmapping, and strategic planning. He was corporate director of University Relations, and his duties included overseeing the research pipeline. He has over
Session 2530 Problem Based Learning in a Chemical Engineering Undergraduate Laboratory Matthew J. Cline, Gary J. Powers Department of Chemical Engineering Carnegie Mellon University Pittsburgh, Pa. 15213-3890Abstract We have recently revised our undergraduate chemical engineering laboratorycurriculum, space, and equipment. Specifically, Problem-Based Learning (PBL) methodswere applied to experiments. The decision to do so was a result of several motivatingfactors. Some of these factors were pedagogic in origin
in place policies, processes and infrastructure to support, maintain and respond to quality issues for released instances of the system.2. The second level is to drive the evolution of the system’s capabilities and characteristics based on evolving needs and enabling technologies.3. The third level is to proactively “disrupt” the market by reframing the opportunity and reinventing the system based on internal innovation, or responding to external disruptions in the marketplace or the technology space.This course provides students with insights into issues pertaining to the life cycle of a cyber-physical system after its initial release to the market/customer(s). The main focus is onunderstanding how system scope and technical
. Page 15.1288.2IntroductionThe Mechanical Engineering (ME) faculty at Old Dominion University (ODU), a doctoraluniversity, and at Western Kentucky University (WKU), an undergraduate university, havecollaborated to blend elements of web-based virtual experiments developed at ODU with anoutcome based assessment plan employed at WKU. The collaboration was initiated at theworkshop1 held at ODU in the summer of 2007. At the workshop, several presenters provideddetail on a methodology which had been developed and successfully implemented fortransforming physical experiments in an undergraduate thermo-fluids laboratory into web-basedvirtual experiments2, 3. An attendee of the workshop from WKU, who is a member of a facultyteam, which had developed and
under-represented students often enter engineering with lower self-efficacy, and may hesitate to volunteer for technical tasks.11Second, marginalization can occur when an individual’s work tasks are not validated or fullyrecognized by their peers or their instructors.12-14 These biases can emerge when peers orinstructors may simply not acknowledge a student’s contributions or when they subsume thatstudent’s work under the group as a whole. This bias can manifest as the difference between “wedid X” versus “Michael did X” or “we 3-D printed a model” versus “Beth created a CAD Page 26.1007.4drawing so that we could 3D print a model.” Third, team
Session 2438 The Leap from Teacher to Teacher-Scholar: The Quest for Research in Non-Traditional Fields La Verne Abe Harris Arizona State University Mary A. Sadowski Purdue UniversityAbstract With the national trend toward decreasing state allocations, higher education institutionshave been forced to be entrepreneurial to survive, and search for alternative means of fundingthrough external agents. Many technology professors are finding themselves in a situation inwhich their top mission of
are aware of each other's learning processes. (3) Promote accountabilityby evaluating individual performance and sharing the results with the group. Then, groups willknow who needs more support and encouragement, and students cannot "piggy-back" on thework of others. (4) Encourage development of interpersonal and small group skills by discussingand promoting the social skills required for high quality collaboration. (5) Organize reflectionon group performance so students focus on improving effectiveness of group work.Cooperative Learning’s technical merits include: (1) Group study combined with individualstudy has proven to be more effective and fun than studying alone. (2) Much of our learningoccurs through dialogue. Conversation enhances
Session 1368 Development of a Roving Laboratory in Vibrations for Undergraduate Engineering Students Nasir Bilal, Harold R. Kess, and Douglas E. Adams Purdue University, School of Mechanical Engineering 585 Purdue Mall, West Lafayette, IN 47907-2040AbstractDetails on the development of a roving laboratory for undergraduate students in a new vibrationscourse including the instrumentation, laboratory format and several laboratory projects arediscussed in addition to the inquiry-based, observational instructional approach that is beingdeveloped to complement the
design processes.Dr. Kathleen H. Sienko, University of Michigan Kathleen H. Sienko is an Arthur F. Thurnau Professor and Associate Professor of Mechanical Engineering at the University of Michigan (UM). She earned her Ph.D. in 2007 in Medical Engineering and Bioastro- nautics from the Harvard-MIT Division of Health Science and Technology, and holds an S.M. in Aero- nautics & Astronautics from MIT and a B.S. in Materials Engineering from the University of Kentucky. She co-founded the UM Center for Socially Engaged Design and directs both the UM Global Health De- sign Initiative (GHDI) and the Sienko Research Group. The Sienko Research Group is a multidisciplinary laboratory developing novel methodologies to create
field experiences, andreceive in-the-moment pedagogical coaching within the pedagogy course.Critical and constructive reflection on teaching practice, which we assume is needed to helpstabilize student-centered instructional approaches, is scaffolded through course assignments andin-class activities. LAs regularly reflected on (and wrote about) how course readings connect totheir to own experiences both as a student and as a peer educator within the ENES100. Throughboth field note assignments and in-class video analysis sessions, LAs were encouraged to (1)develop detailed descriptive accounts of classroom events, (2) generate multiple plausibleinterpretations of classroom events, and (3) assess the affordances of instructional moves inrelation
parallel with this project-based design course. In the theoreticalcourse, students learn the technical concepts about sensors, actuators and communicationprotocols using an embedded platform and C programming.Since students must make use of the laboratory facilities and fabrication tools (Appendix E), bythe time they have been enrolled in this course, they already have attended some lectures aboutlaboratory safety procedures and standards in previous courses.Course methodology and promoted skillsAs mentioned before, it is important for the students to be already familiarized with electroniccircuits, some tools and programming in such a way that allows them to have the lead in aproject of their own. For this course, sessions are a mix between
Session 1202 DESIGN-CENTERED FRESHMAN INTRODUCTION TO AEROSPACE ENGINEERING Narayanan Komerath School of Aerospace Engineering Georgia Institute of Technology Atlanta GA30332-0150 ABSTRACTThe conceptual design of a large airliner was used to focus a 3-quarter-hour Introduction toAerospace Engineering, taught to 39 first-quarter freshmen. Starting from high school physics,chemistry and mathematics, the students completed several engineering assignments
School Psychology at University of North Carolina at Chapel Hill. She has extensive research experience in the field of psy- chology. Her thesis explored the influence of individual differences in executive functioning on learning outcomes in active learning environments.Dr. Chuang Wang, University of Macau Dr. Wang is Distinguished Professor of Quantitative Research Methodology at the University of Macau. His expertise includes educational research design, statistical data analyses, and program evaluation. He has published 7 books, 19 book chapters, 103 peer-reviewed journal articles, and 12 conference proceed- ings. Dr. Wang also has 18 invited presentations and 98 paper presentations at national and international
Session 1359 Incorporating Design, Communications, Teamwork, and Modeling in a Controls Laboratory Experience Jeffrey A. Jalkio Department of Engineering University of St. Thomas St. Paul, MN 55105AbstractIt is now widely recognized that engineering education must include training incommunication and teamwork skills in addition to traditional engineering science anddesign topics. This paper presents a control laboratory experience designed to providesuch training in a realistic manner. This experience centers on the
,” Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, pp. 20–30, April 1993.[3] Jacquot, R. G., Hamann, J. C., Pierre, J. W., and Kubichek, R. F., “Teaching Digital Filter Design Using Symbolic and Numeric Features of MATLAB,” ASEE Computers in Education Journal, vol. VII, no. 1, pp. 8–11, January-March 1997.[4] Porat, B., A Course in Digital Signal Processing, John Wiley & Sons, Inc., 1997.[5] Ingle, V. K., and Proakis, J. G., Digital Signal Processing Using MATLAB V.4, PWS Publishing, 1997.[6] Mitra, S. K., Digital Signal Processing: A Computer-Based Approach, McGraw-Hill, 1998.[7] Ambardar, A., and Borghesani, C., Mastering DSP Concepts Using MATLAB, Prentice-Hall
AC 2011-1485: DEVELOPMENT AND IMPLEMENTATION OF AN IN-TERMEDIATE DESIGN COURSE USING ACTIVE LEARNINGJohn S. Lamancusa, Pennsylvania State University, University Park John S. Lamancusa is a Professor of Mechanical Engineering and Founding Director of the Learning Factory at Penn State. Before coming to Penn State in 1984, he was employed at AT&T Bell Labora- tories where his technical experience included electronic packaging, product design and acoustic design of telecommunications equipment. At Penn State, he teaches courses in design, vibrations, noise control, product dissection and mechatronics, and supervises senior design projects. He is the faculty advisor for Penn State’s student chapter of Engineers
tutoring often does not coincide with the schedules of the students– many of whom must balance classes, work and families. In the coming year, the program plansto explore how more customized tutoring might meet student needs.At UM, there are extensive tutoring sessions offered through the Department of Mathematics.Students may walk-in throughout the day with specific times allotted to specific levels of mathbased on the availability of student tutors. These services are free to students and the students arebeing encouraged to use the services. At UM, since those in majors with less rigorous mathrequirements have already completed their math requirements, these resources are primarily forthe technical majors.Students Taking Courses at UM on an
sophomore experience, 2) increase the level ofstudent engagement with professionally-oriented tasks and skills, and 3) identify and developstrategies for instructor communication across courses to help students establish a morecomprehensive view of the field. The grant PI team began by exploring a way to support a teamof faculty toward curriculum revision. The grant PI team explored threshold concepts [3] as away to guide faculty in identifying content targets that will lead students toward a betterunderstanding of big picture, fundamental concepts (see related literature review [4]). Thesetargets have been used to guide conversations and participatory design sessions with both largeand small groups of departmental faculty toward curriculum design
, the Division is sponsoring a panel session on BestPractices in K-12 and university partnerships. Submissions chosen for participation in thissession demonstrate a true partnership between a K-12 school (or schools) and an engineeringschool/college at a university.Selected partnerships have data to support proven success in the classroom and demonstrateengineering engagement and knowledge acquisition by K-12 students through age appropriateactivities and lessons. Best Practices Partnership Panel winners’ papers are authoredcollaboratively between engineering and technology education faculty and K-12 teachers.Details on the partnership's structure and goals, the strategies employed to overcome challengesand obstacles, and successes and lessons
College of Engineering student body reflectsthe overall diversity of the University. The ethnic breakdown of undergraduates in the collegeincludes 19% Hispanic, 3% African American, 40% Asian, 22% White, 6% Internationalstudents, and approximately 1% American Indian or Pacific Islander. Women areunderrepresented in the College, making up 14% of undergraduates. The majority of newstudents each fall in the College are first-time first-year students though a substantial number,approximately 40% of the new students, enroll as upper-division transfer students. These transferstudents come primarily from the extensive California Community College system. TheUniversity formed a formal retention and graduation initiative in 2009 and has
perspective of three programs that are involved in thiscollaboration:Mechanical EngineeringThe technical tasks required of the mechanical engineering students are no different than anytraditional capstone course. However, using a client centered model, the engineers have learnedthe value of empathy and customer discovery by observing how nurses and biomedical studentsinteract with clients. The engineers come to value universal design practices as they work withclients that have limited physical abilities. The student teams, and particularly the team leaders,learn to grapple with the division of duties and system interface management, which iscomplicated by multi-university reporting, multiple physical locations, and varied corecompetencies
. Single, P. B., C. B. Muller, C. Cunningham, and R. M. Single. "Electronic Communities: A Forum forSupporting Women Professionals and Students in Technical and Scientific Fields." Journal of Women andMinorities in Science and Engineering 6 (2000): 115-29. 20. Glaser, B. G. , and A. L. Strauss. The Discovery of Grounded Theory: Strategies for Qualitative Research.Chicago: Aldine, 1967. 21. Boyle, P., and R. Boice. "Systematic Mentoring for New Faculty Teachers and Graduate TeachingAssistants." Innovative Higher Education 22, no. 3 (1998b): 153-79.Biographical InformationPEG BOYLE SINGLEPeg Boyle Single is the Mentoring Specialist and Senior Research Associate for MentorNet and a ResearchAssociate Professor of Education at the University of
accomplish their goals in outreacheducation.1. Science and Engineering Indicators – 2000 chapter 3 “Science and Engineering Workforce” page 3-24.2. National Science Foundation/Division of Science Resources Studies: data from Department of Education/National Center for Education Statistics: Integrated Postsecondary Education Data System Completions Survey3. National Center for Education Statistics. (1999) Overview and Key Findings Across Grade Levels .Washington D.C.: NCES4. “Before It’s Too Late” A Report to the Nation from the National Commission on Mathematics and Science Teaching for the 21 st Century., Education Publications Center, September, 2000.5. National Research Council. (2001). National Science Standards
shown in Figure 1, Figure 2, and Figure 3, respectively. Figure 1. Radiation Emergency Response Kit Figure 2. Personal Dosimeter Figure 3. Portal MonitorSeveral experimental sessions and an accompanying comprehensive laboratory manual havebeen developed and introduced into the curriculum. The laboratory activities introduce studentsto various types of detectors used to measure radiations and the general properties of radiationdetection systems. The hands-on equipment operation training can further enhance the students’educational experience. This laboratory module has been infused in the new courses (“NuclearEmergency Preparedness & Exercises” and “Introduction to Nuclear Technology
: Lasers, Lamps, etc.; Reflection and Refraction -- Snell's law, brewster angle,total internal reflection, dispersion; Geometric Optics -- Mirrors, lenses, magnification, raytracing techniques and software; Polarization; Birefringence; Interference -- interferometry andthin films; Diffraction -- gratings; SpectroscopyLABORATORIES 1. Detection of light (a) Use photodiode and optical power meter to detect laser light. (b)Calibrate neutral density filters/ beamsplitter © determine linearity of photodiode. 2. Reflection/refraction (a) study of Snell's law with different materials (b) total internalreflection (measure index of refraction) in a prism. 3. Geometric Optics (a) build a simple microscope (b) expand and collimate a HeNe laserbeam
Session 3159 Modernization and Integration of New Technologies in a Thermodynamics Lab Mansour Zenouzi, Anthony Duva, Raymond Tavares Electronics and Mechanical Department1 Wentworth Institute of Technology Boston, MA 02115.Abstract:Significant advances in digital data acquisition and data reduction in industry, enhancement andimprovement in energy system simulation software such as Engineering Equation Solver (EES),recent interest in fuel cells and concern for protection of the global environment are among
) changes onour various systems quickly. More importantly, the application of common, architecture-neutralfile formats allows us to share information easily and effectively with others. In conclusion, wefind that the free UNIX desktop can be a powerful teaching and research tool for the engineeringeducator.Bibliography 1. Lehey, G. The Complete FreeBSD . Walnut Creek, CA: Walnut Creek CDROM (1997). 2. Weigand, J. The cooperative development of Linux. In Proceedings of the 1993 IEEE International Professional Communication Conference. New York: IEEE (1993). 3. Korn, D.G. Porting UNIX to Windows NT. In Proceedings of the USENIX 1997 Annual Technical Conference. Berkeley, CA: USENIX Assoc. (1997). 4. Noer, G.J. Cygwin: A Free Win32 Porting
; McGourty, J. (2005). The ABET “Professional Skills” – Can They Be Taught? Can They Be Assessed? Journal of Engineering Education, 94, 41-55. doi: 10.1002/j.2168- 9830.2005.tb00828.x10. Lord, S.M. (1999, Nov.). Service-Learning in Introduction to Engineering at the University of San Diego: First Lessons. ASEE/IEEE Frontiers in Education Conference, San Juan, Puerto Rico.11. Duffy, J., Barrington, L., Moeller, W., Barry, C., Kazmer, D., &West, C. (2008). Service-Learning Projects in Core Undergraduate Engineering Courses. International Journal for Service Learning in Engineering, 3, 18-41.12. Johri, A., & Olds, B. M. (2011). Situated Engineering Learning: Bridging Engineering Education Research
synchronous session, the time is used to implementreflective discussion content. Course survey results indicate that the students loved the pollsused to solicit engagement. Preliminary statistics from one of these flipped classroom blendedcourse offerings showed 20 times improvement in student engagement. At the end of each 2-hour synchronous session, the chat window averaged 600 lines in addition to the poll responses(1 class had nearly 900 entries from 18 students). In looking at the synchronous session in oneclass, there was a 70:1 ratio of student responses and discussion to a professor’s initial question.Using the prior model, that same class had only 3-5 student responses to questions posed by theprofessor. As the students adjusted to the