Paper ID #9049Predicting Entrepreneurial Intent among Entry-Level Engineering StudentsDr. Mark F Schar, Stanford University Dr. Schar works in the Center for Design Research - Designing Education Lab at Stanford University. He is also a member of the Symbiotic Project of Affective Neuroscience Lab at Stanford University and a Lecturer in the School of Engineering. Dr. Schar’s area of research is ”pivot thinking” which is the intersection of design thinking and the neuroscience of choice where he has several research projects underway. He has a 30 year career in industry as a Vice President with The Procter & Gamble
and mechanical engineering technology education programs.The field of manufacturing engineering covers the broad spectrum of topics derived from thedefinition, “Manufacturing requires that a modification of the shape, form, or properties of amaterial that takes place in a way that adds value”1. The ASME’s Vision 2030 surveys of industryengineering supervisors and early career mechanical engineers have illustrated that the curriculaof mechanical engineering and related programs have an urgent need to enhance students’comprehension of ‘how things are made and work,’ e.g., the knowledge and skills needed todesign and efficiently produce products via high-performance systems.2 This paper focusesprimarily on a model for the manufacturing field
Dakota School of Mines and Technology in January 2011 as an Associate Professor. Dr. Bedillion received the B.S. degree in 1998, the M.S. in 2001, and the Ph.D. degree in 2005, all from the Mechanical Engineering Department at Carnegie Mellon University. Prior to joining SDSM&T, Dr. Bedillion had an eight year career in the hard disk drive industry working on advanced data storage concepts. Dr. Bedillion’s research interests include distributed manipulation systems, robotics, control for data storage systems, control for advanced manufacturing systems, and STEM education.Dr. Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology Karim Muci-K¨uchler is a Professor of Mechanical Engineering and Co
policing tended to be Problem Solvers. Ausburn and Brown (2006)studied career and technical education students and found that most were Engagers.28 To datethere have not been any studies to determine the ATLAS-defined learning strategy preferences ofengineers, the occupational group of interest here.Verbal-Visual PreferenceA major dimension of cognitive style is the verbalizer-visualizer dimension.29,30 Unfortunately,there is no consensus on terminology for this dimension as it has been called a cognitive style, alearning style, and a learning preference.31 “Visualizers tend to think more concretely, useimagery, and personalize information. While learning they prefer graphs, diagrams, or picturesadded to text-based material. Verbalizers prefer to
the issue of creating good communicators out ofengineers who are educated in traditional technical courses. Vast numbers of articles and bookshave suggested ways to ensure that at least the outward look of a writer's effort conforms toacceptable norms. Classes are required, papers are assigned, some comments are voiced; but inso many cases the retention of communication skill is not assured and does not become anintegral part of the engineer's existence. Engineers need to understand the bond between theirtechnical knowledge and their communication skills. This bond must be accomplished in themost efficient amount of time so that it creates a lasting awareness of technical communicationand its importance in every engineer's career. This is
Paper ID #8628Machining Experience in a Mechanical Engineering CurriculumDr. Scott F. Kiefer, York College of Pennsylvania Scott Kiefer has spent the past thirteen years teaching mechanical engineering at four institutions. As an exemplary teaching specialist in mechanical engineering at Michigan State University, Scott received the Withrow Award for Teaching Excellence, given to one faculty member in the College in Engineering for outstanding instructional performance. Scott specializes in machine design, vibrations and controls, and mechatronics. He started his career at the University of Puerto Rico at Mayaguez in the
implementation of resonant micro/nanoelectromechanical systems (MEMS/NEMS); the behavior of electromechanical and thermomechanical systems operating in rich, multi-physics environments; and mechanics education. Dr. Rhoads is a member of the American Society for Engineering Education (ASEE) and the American Society of Mechanical Engineers (ASME), where he serves on the Student Design Committee and the Design Engineering Division’s Technical Com- mittees on Micro/Nanosystems and Vibration and Sound. Dr. Rhoads is a recipient of the National Sci- ence Foundation’s Faculty Early Career Development (CAREER) Award, the Purdue University School of Mechanical Engineering’s Harry L. Solberg Best Teacher Award (twice), and the ASEE
Clemson University. Dr. Caldwell is a member of ASME and Pi Tau Sigma.Dr. Colleen M Halupa, LeTourneau University Dr. Colleen Halupa is currently the Director of Curriculum Design and Technology at LeTourneau Uni- versity. She has an A.S. in medical laboratory technology, a B.S. in healthcare management, an M.S. in health administration, and an Ed.D. in curriculum and instruction with a concentration in educational lead- ership, and management. Prior to her career in academia, Dr. Halupa was a biomedical sciences officer in the United States Air Force. Prior to her retirement from the military, she held varying positions in health administration and education and served as the program director for all of the Air Force
- sity of Washington, Seattle, in 1982, 1987, and 1995, respectively. Dr. Schimpf began his academic career in 1998, and is currently Chair of the Department of Computer Science at Eastern Washington University in Cheney, WA, USA. His research interests include numerical methods for forward and inverse solutions to partial differential equations, with biomedical applications. Prior to his academic career, Dr. Schimpf was employed as a Senior Principal Design Engineer in the electronics industry, where he enjoyed 13 years of experience developing parallel embedded signal and image processing systems.Dr. Chuan-Chiang Chen, California State Polytechnic University, Pomona Chuan-Chiang Chen is a Professor in the Mechanical
retention, teaching and learning, research, and career development.The resulting plan was rooted in the recognition that we live in a time of international transitionand opportunity where the traditional model of the University is challenged, and even the returnon investment of higher education is questioned.The Mechanical and Materials Engineering (MME) Department’s strategic planning processincluded all associated faculty and staff. Consistent with the department vision over the pastdecade, MME wants to implement initiatives that provide clear reasons for students and parentsto select the University of Denver’s (DU) MME department for the educational cost today andtomorrow. Among the initiatives that resulted were: (1) increase the number of
After an 18 year career in the automotive industry, Dr. De Clerck joined the Michigan Tech Department of Mechanical Engineering - Engineering Mechanics in August 2009. His areas of expertise include noise and vibration, structural dynamics, design, modal analysis, model validation, inverse methods applied to design, and advanced measurement techniques.Dr. William J. Endres, Michigan Technological University Dr. Endres received his Ph.D. in Mechanical Engineering from the University of Illinois at Urbana- Champaign in 1992. He has served on the faculty at the University of Michigan in Ann Arbor for 7 years and at Michigan Technological University since 2001, where he is currently an Associate Professor and the
Paper ID #8545Improving Transitions Between Sophomore Dynamics and Junior DynamicSystems CoursesDr. Mark David Bedillion, South Dakota School of Mines and Technology Dr. Mark Bedillion joined the Mechanical Engineering Department at the South Dakota School of Mines and Technology in January 2011 as an Associate Professor. Dr. Bedillion received the B.S. degree in 1998, the M.S. in 2001, and the Ph.D. degree in 2005, all from the Mechanical Engineering Department at Carnegie Mellon University. Prior to joining SDSM&T, Dr. Bedillion had an eight year career in the hard disk drive industry working on advanced data
. Hispanic femalesare the only exception. In addition to the higher rate of choosing AsE shown in Figure 1,Hispanic females have much higher graduation rates in AsE than ME. They also have highergraduation rates than their male peers in either major. In AsE, women of each race exceptAsian have equal or higher graduation rates than their male peers.Who graduates in ME or AsE? (Exchange between ME and AsE) In addition to having overlapping curricula, at two of the six schools represented here, ME andAsE are even managed by the same administrative unit, so some exchange of students might beexpected between the degree programs as students fine-tune their career goals. Figure 4illustrates the six-year graduation rates for each race-gender group when we
students comprehend the material, and(c) the frustration of new programmers, especially with debugging.Issue (a) was straight-forward, instead of the course being taught by computer science faculty, amechanical engineering faculty developed and taught the course. While straight-forward tosolve, it is an important point to drive home. Computer science departments program fordifferent applications than mechanical engineers do. The majority of mechanical engineers willnot do a substantial amount of low level programming in their careers. However, it is becomingvery common for mechanical engineers to incorporate high level, simple programmingtechniques in their day-to-day work. This could be for data analysis, programmingmanufacturing equipment
Paper ID #8825Laboratory Development for Dynamic Systems Through the Use of Low CostMaterials and ToysDr. Benjamin Reed Campbell, Robert Morris University Ben Campbell holds a BS in physics and MS in electrical engineering from Penn State and a PhD in engineering from Robert Morris University. For the first decade of his career, he worked as a laser engineer at the Penn State Electro-Optics Center. In 2011 he joined Robert Morris University as an Assistant Professor of Engineering. He has been supporting RMU’s biomedical engineering program and also teaching dynamics, circuits, and introduction to engineering. Since
necessary to complete this task so wesurmise that there was another issue present than lack of knowledge. Perhaps the success of thechemical engineers might be simply explained by their previous course dealing with part of thecontent (state functions and energy balances) if it were not for the fact that the physics students dojust as well without having any prior course focused on thermodynamics. Prior exposure differ-ences do not appear to explain the differences in performance of chemical engineering and physicsstudents compared to mechanical engineering students. Another significant feature was that themechanical engineers take the thermodynamics course earlier in their college careers than chem-ical engineers and physics students. Since there
-Funded ”Supporting Collaboration in Engineering Education” that produced the research reported in this article. Over his 40 year career, Dr. Jonassen also taught at the Pennsylvania State University, University of Colorado, the University of Twente in the Netherlands, the University of North Carolina at Greensboro, and Syracuse University. He published 37 books and hundreds of articles, and papers on instructional design, computer-based learning, hypermedia, constructivism, cognitive tools, and problem solving. He has received dozens of awards and was posthumously inducted as a Fellow of the American Educational Research Association. The last 10 years of his life were devoted to the cognitive processes engaged by
, the problem-solving techniques that are learned in one context can be generalized and applied to other contexts. Instructors can draw parallels between different types of problems and show how the problem-solving techniques can be applicable beyond a single class. This can be useful for those students who have less work experience as well as those who see their engineering degree as part of a career Page 24.1118.14 pathway into management, law, or other fields.VI. ConclusionThe students in this study were able to successfully connect the class with their co-op workassignments and other authentic experiences