AC 2007-2251: INSTRUCTIONAL DESIGN AND EVALUATION OF A VIRTUALLABORATORY IN NANOELECTRONICS PROCESSINGDanielle Amatore, Oregon State University Danielle Amatore, a PhD candidate in chemical engineering at Oregon State University, has a research focus on engineering education, with a special interest in applying qualitative research to assess learning in the engineering classroom. In addition, she has developed curriculum built on active learning for nanoelectronics at the graduate and undergraduate levels, as well as for K12 level. She obtained experience in the semiconductor industry while working at Intel and LSI Logic.Edith Gummer, Northwest Regional Educational Laboratory
and graduate level Mechanical Vibrations and Multimedia Engineering Analysis, and undergraduate level thermodynamics, Measurement Systems, Experimental Stress Analysis , Machine Design and Introduction to Engineering. Professor Orabi has received a number of research awards from the State of Connecticut and Untied Technologies. He has established two Laboratories: the Materials Testing laboratory sponsored by the National Science Foundation, and the Engineering Multimedia Laboratory funded by AT&T. He is a member of ASME and ASEE. Page 12.777.1© American Society for Engineering
this study, ateam of five industrial engineering students agreed to allow the investigator to observe their teammeetings, individually interview each team member and analyze their work related to theircapstone project. For the laboratory based study, eight industrial engineering seniors were askedto think aloud while completing a three-hour design problem. The findings from the capstonestudy guided the analysis of the data from the laboratory based study.Mathematical thinking behavior was investigated using Schoenfeld’s five fundamental aspects ofmathematical thinking: knowledge base, problem solving strategies or heuristics, effective use ofresources, beliefs and affects and mathematical practices1 . Additionally, Atman and Bursic’sdesign
teamfunctioning.The course is structured with two fifty-minute lectures per week and a two-hour computerlaboratory meeting. The students are assigned to a three or four person team starting in week 3of the semester and remain with that team through week 7 of the semester. Students are assignedto a different team starting in week 8 of the semester. Students are placed on teams by teachingassistants with the use of guidelines that assure diversity in terms of self-evaluation of computerand programming skills, and placement of females and international students so that theseunderrepresented groups are not isolated. Teams are asked to work together on a weekly basis inlecture, laboratory, and outside of class for team assignments. Although this study
. Page 12.289.9APPENDIX A : PERCEPTUAL MODALITY STYLESStudents were not provided with a questionnaire to fill out.Rationale: Students are exhausted in filling out forms.Some researchers are of the opinion that ‘questionnaire-fatigue’ may result in faulty orskewed data.If so, how was assessment carried out?The instructor delivered four content material in four different modes.Topic 1 was delivered in the Lecture Format. (Aural)Topic 2 utilized Power Point Slides and other Visual Aids. (Visual)Topic 3 was left to the students to read, write and submit their findings. (Reading)Topic 4 was handled like a laboratory, demonstration, discussion, etc. (Kinesthetic)The four topics chosen were fairly similar in their complexity, although not
Laboratory for Responsible Manufacturing (LRM) at Northeastern University since September 1999. She has also been employed as an Assistant Professor by Yildiz Technical University till February 2006. Dr. Kongar is currently an Assistant Professor at Bridgeport University and a Part-Time Researcher in the Center for Industrial Ecology at Yale University. Her research interests include the areas of supply chain management, logistics, environmentally conscious manufacturing, product recovery, disassembly systems, production planning and scheduling and multiple criteria decision making. She has co-authored several technical papers presented at various national and international
experimentation projects EAS 112 Methods of problem-driven, use of algorithm development, use Engineering Analysis18 spreadsheet and of computer tools, statistics, programming to develop numerical methods, algorithms to solve programming concepts engineering problems EAS120 Chemistry with a second semester science laboratory taught from an Applications in BioSystems course, provides background engineering perspective, for further study of chemistry includes design and analysis and
customized in a variety of ways. The basic avatar ishumanoid but its shape is modifiable. For example, size, build, color, and hair style ofavatars can be changed. Users can also create or buy clothing, and attach 3D objects totheir avatars to further customize them. The system also allows users to use non-humanoid character representation if they choose to do so.All objects and 3D information are streamed in real-time to all clients. System works inreal time; therefore, any modification that is done by a user is broadcasted to all users.Using SL’s 3D modeling and programming language, one can build virtual laboratories. Page 12.1008.8 3000 2500 2000
laboratory course in which he repeatedly enrolled, building Lego cranes to lift andmove loads and completing other open-ended problems. But it was a voluntary activity as partof a high school English course that helped to cement his love for engineering. As a sophomore, Page 12.1277.8Joe worked with a friend to build a trebuchet that was twelve-feet high and could catapult a one-gallon bottle of water the length of a football field. He even moved the trebuchet to MT tocontinue tinkering with it, and housed it in the garage of his apartment building, while his vehiclesat in the driveway, exposed to the elements. Additionally, as a hobby, Joe began
] .66 Laboratories .59 13c. Overall Satisfaction with Collegiate Experience n/a Rate the overall quality of your collegiate experience so far n/a[1] From the Pittsburgh survey (with permission)[2] From the Pittsburgh survey, and modified slightly (with permission)[3] From the CIRP survey, and modified slightly (with permission)[4] From the YFYC 2003 survey (with permission)[5] From the YFYC 2003 survey, and modified slightly (with permission)III. Survey AdministrationThe PIE Survey has been administered longitudinally to a cohort of 160 students, 40 at each ofthe four CAEE campuses, beginning during their first year in college. All
Safety Award in 2002, the Lockheed Martin Outstanding Team Award in 1998, the MBA Fellowship from 1994-1995 and multiple technical and suggestion awards from IBM from 1986 to 1993.Mike Pennotti, Stevens Institute of Technology Michael Pennotti is Industry Professor and Associate Dean for Professional Programs, for the School of Systems and Enterprises, Stevens Institute of Technology. As a systems engineering leader for more than thirty years, Dr. Pennotti has broad experience with both technical and organizational systems. He spent the first twenty years of his career at Bell Laboratories, designing, analyzing and improving the operational performance of three generations
processeswhich occur in capstone design courses and guides analysis of a student’s ability to communicatethe process of engineering design. In this framework the design process is completed in fivesteps: 1) A student’s initial learning occurs through interactions with the faculty and teaching assistants (experts) in a social setting- the design class or lab. This type of learning is collective and public and represented by Quadrant #1. Students first seek to understand the design process and their project through social interactions in the classroom, laboratory, or within a team. 2) Next the team analyzes the design project and breaks it down to component tasks. At this stage students become individually responsible for particular
Engineering Students and their Implications for Successful Teaching with Instructional Technology, British Journal of Engineering Education, UK, Vol. 5, No. 1, pp. 29-42.8. Anderson, E., Chandrashekar, N., Hashemi, J., & Kholamkar, S., (2006). Web-based Delivery of Laboratory Experiments and Its Effectiveness Based on Student Learning Style. Proceedings of the 2006 ASEE Annual Conference and Exposition, Chicago, IL, June 18-21, 2006.9. Zywno, M.S., & Stewart, M.F., (2004). Online Control Systems Tutorials. The module received Honourable Mention in 2005 competition for the COU/OPAS Award for Excellence in Teaching with Technology. Online at: [Accessed January 10, 2007].10. Digital Media Projects Office, Ryerson
design course. As is the nature of thecourse, future semesters will experience incremental changes. We intend on increasing theinteraction with video material by making available more videos to build a larger archive ofreference material. In the present semester, we are video-recording laboratory sections in whichwe are teaching the effective use of software packages, such as Mathworks Matlab and AliasMaya. We intend on evaluating the availability of this reference material by comparing studentperformance to prior semesters.References[1] Abowd, G.D., Atkeson, C.G., Feinstein, A., Hmelo, C., Kooper, R., Long, S., Sawhney, N., Tani, M. Teaching and Learning as Multimedia Authoring: The Classroom 2000 Project. In Proceedings of the ACM
satisfaction with academic facilities, such as classroom and Facilities and Services laboratories, and services, such as academic advising. Overall Satisfaction with General satisfaction with the overall quality of the college experience. This Collegiate Experience question is asked at the end of the survey to obtain a Gestalt judgment response.A similar process was used to recruit students for the focus groups (i.e., invitation from theAssociate Dean and follow-up reminders). Each group lasted from 1 ½ to 2 hours and included Page 12.1162.8students from