Paper ID #8120Getting More Learning From Labs - Six Principles to Build Understandingand SkillDr. Clark Hochgraf, Rochester Institute of Technology (CAST)Prof. Richard Cliver, Rochester Institute of Technology (CAST) Richard C. Cliver is an Associate Professor in the department of Electrical, Computer and Telecommu- nications Engineering Technology at RIT where he teaches a wide variety of courses both analog and digital, from the freshman to senior level. He was the recipient of the 1998 Adjunct Excellence in Teach- ing Award, the recipient of the 2002 Provost’s Excellence in Teaching Award and a finalist in the 2009
to experience a specific type ofrobot, and most institutions cannot afford a complete (or even partial) collection of robots forlaboratory exercises. Therefore, many approaches for virtual robotic exposure have beendeveloped, including virtual environments for teaching the kinematics and dynamics of robots,software environments for visualizing a wide range of robot manipulators, and simulationenvironments for showing how these robots behave in the real world, some with an emphasis onmultiple robotic configurations. Simultaneous to the development of various instructionalrobotics laboratories, there has been a development of strategies in educating students remotelythrough what has been labeled as eLaboratories[3][4]. The motivation for such
Brigham Young University, 2nd Edition, Brigham Young University Press, 1995.4. Ortiz, L. E. and Bachofen, E. M., “An Experience in Teaching Structures in Aeronautical, Mechanical and Civil Engineering, Applying the Experimental Methodology,” Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition, Session 2526.5. Abdulwahed, M. and Nagy, Z. K., Applying Kolb’s Experiential Learning Cycle for Laboratory Education, Page 23.363.12 Journal of Engineering Education, July 2009, pp. 283-294.6. Wyrick, D. A. and Hilsen, L., “Using Kolb’s Cycle to Round Out Learning,” 2002
perform experimental research and encouraged their matriculation to graduate school. Dr. Traum also serves as the founding Chief Technology Officer at EASENET, a start-up renewable energy company he co-founded with his former students to commercialize residential scale waste-to-energy biomass processor systems.Dr. Vincent ”Vince” C Prantil, Milwaukee School of Engineering Dr. Vincent Prantil earned his BS, MS, and PhD degrees in Mechanical And Aerospace Engineering at Cornell University. He has worked as a senior member of technical staff in the Applied Mechanics and Materials Modeling Directorates at Sandia National Laboratories in Livermore, California where he was a co-recipient of the R&D100 Award for
Paper ID #6248Updates to a Sequence of Thermodynamics Experiments for Mechanical En-gineering Technology StudentsMr. Roger A Beardsley PE, Central Washington University Roger Beardsley PE is an associate professor of Mechanical Engineering Technology at Central Wash- ington University in Ellensburg WA. Mr. Beardsley teaches undergraduate courses in thermodynamics, heat transfer, fluids, and machine design. His professional interests include energy conversion, renewable energy and sustainability issues. Page
, such as cost, space, limited equipment access, equipmentsize and similarities with real equipment, safety, students’ supervision, etc. Virtual laboratoriescan become important components of the teaching process, because using them some of theabove challenges can be avoided, while several experiment-oriented problems can be solvedeasily and also from the distance. Software based laboratory experiments have become currentday need due to its impacts on flexible learning of students and understanding abilities. Also, thestudents’ lack of solid comprehension of mathematical and/or physics concepts results in wastedtime during laboratory experiments, misinterpretations of experiment results and data, etc. Thismotivation deals with simulation of
production. For example, the features of the tree such ascanopy volume could be used to control the amount of water applied to a particular tree based onits size. This is one type of applications of Precision Agriculture, where the crops are managedbased on the crops’ specific information. (a) Raw Image (b) Color Filter 1 (c) Color Filter 2 (d) Erosion and Dilation (e) Masking (f) Feature Extraction Figure 6. Image processing for tree recognition4. ConclusionOne of the concepts taught in the Control Systems course in the engineering program ofNorthwest Nazarene University is MVS. In teaching MVS, two laboratory experiments areconducted to learn the
, one Teacher modifiedher teaching approach for the AP Physics class as follows. Students were asked to researchand report on recent failures in engineering infrastructure and how ethics may have played arole. The AP students also complete the roof truss exercise, similar to the pre-AP Physicsstudents, extending the application into the building walls. Students are given a constructionbudget, simulating real life projects. In the first two years of the RET project, students wereable to take various field trips to UT Arlington. Students took the first trip to understand howvarious materials are tested in the laboratory. During the second visit, students were able toexplore the same areas plus the manufacturing and robotics laboratory, 3D
: A Multidisciplinary Course in Mechanical Engineering Electrical EngineeringAbstractThis paper presents pedagogy and experiences in teaching system modeling and analysis as wellas feedback control systems in the engineering curriculum. The course is a requiredmultidisciplinary course to be offered at the junior level for both electrical and mechanicalengineering students. In addition, electrical engineering (EE) students and mechanicalengineering (ME) students who pursue an electrical engineering (EE) minor are required toconcurrently complete a laboratory course. But regular ME students who do not pursue an EEminor are not required to take the laboratory course. The motivation for offering thismultidisciplinary
Paper ID #5993Connecting Research and Teaching Through Product Innovation: Quality ofLife Technology RET SiteMs. Mary R Goldberg, University of Pittsburgh Mary Goldberg, M.Ed. received her bachelor’s degree in Psychology and Spanish and a Master’s of Education in Administrative and Policy Studies from the University of Pittsburgh. She has been the Lead Education and Outreach Coordinator at the Department of Rehabilitation Science and Technology and Human Engineering Research Laboratories since 2007, where she has served as co-PI on four training programs in the field of assistive technology for undergraduates, veterans
ahigher level of learning than that of students in traditional classes. Meyers and Jones2 argued thatactive learning encourages students to participate in activities that promote cognitive Page 23.133.2modification or acquisition of knowledge. This paper presents a classroom in which learning isactive every day, technology is used in the service of teaching, and the teacher is a guide thatfacilitates student learning. Figure 1. The ACE classroom combines research, curricular design, teaching strategies and laboratory in the same environment.The design of the ACE classroom is based on research initiated by Robert
measures. Future work related to theObserver function is also presented.IntroductionClassroom observation tools can be useful in providing real-time feedback to instructors’teaching practice not only in a traditional lecture-based classroom, but also in more recentengineering courses, which often include team-based, laboratory activities and some problem-based and/or project-based learning activities. The latter often requires multiple pedagogicalskills, such as the skills to motivate students and guide in their problem-solving processes, theability to arrange team-based learning activities and other classroom management skills, whichcan be challenging for new instructors or graduate teaching assistants (GTAs) before they gainenough teaching
140 CAN WE TEACH MODERN ELECTRONICS AT A TWO- YEAR ENGINEERING-TECHNOLOGY PROGRAM? ASM Delowar Hossain, Zory Marantz Djafar Mynbaevahossain@citytech.cuny.edu zmarantz@citytech.cuny.edu dmynbaev@citytech.cuny.edu Department of Electrical and Telecommunications Engineering Technology New York City College of Technology of the City University of New York 300 Jay Street, Brooklyn, NY 11201Abstract: Teaching electronics in career-oriented two-year programs is a challenge due to thepractical knowledge that must be
Paper ID #5884Experiences of Implementing Blended Teaching and Learning Technique inMechanics and Design CoursesProf. Raghu Echempati, Kettering University Echempati is a professor of Mechanical Engineering with over 30 years of teaching and research expe- riences. He is a Fellow of ASME and a member of ASEE and SAE. He has published over 110 papers in peer reviewed journals and conference proceedings of repute. He taught Design related courses in Germany and now in India for many years.Dr. Anca L. Sala, Baker College, Flint Dr. Anca L. Sala is Professor and Dean of Engineering and Computer Technology at Baker College of
Paper ID #6716Collaborative Development of Internet-Accessible, Interactive, Medical Imag-ing Teaching Courseware and Application to Undergraduate CurriculaDr. Weizhao Zhao, University of Miami Dr. Weizhao Zhao’s fields of study include medical imaging and image processing, image-guided surgical intervention, medical imaging simulation for BME training. At the University of Miami, Dr. Zhao has been the director of the Bioimaging Laboratory; the co-director of the Medical Physics Graduate Program; and an associate professor of Biomedical Engineering, Neurology and Radiology.Ann G Bessell PhDDr. Nurgun Erdol, Florida Atlantic
Paper ID #7187Interdisciplinary Senior Design Project to Develop a Teaching Tool: MiniCNC MillDr. Yalcin Ertekin, Drexel University (Engineering Technology)Dr. Richard Chiou, Drexel University (Eng.) Page 23.802.1 c American Society for Engineering Education, 2013Interdisciplinary Senior Design Project to Develop a Teaching Tool: Mini CNC MillAbstractThe desired current set of skills required of modern engineers and technologists has been steadilyexpanding. In addition to familiarity with manual machining and fabrication techniques
would interact with students during the in-class implementation of the MEA. Theywere not involved in the assessment of student work on MEAs. Due to a change in instructionalfacilities, that grew the laboratory size from 32 to 120 students, the number of instructors neededin the laboratory space to facilitate active learning and open-ended problem solving changed.This was not a unique change, as other universities are also employing UTAs for various reasons(e.g. large enrollment, financial, retention) to perform an array of teaching duties.14,16 By Spring2010, UTAs responsibilities shifted to include assessment of student work on MEAs. This hadthe benefit of reducing GTA workload but also raised concern over the preparation UTAs wouldneed to
SUBMITTED TO THE AMERICAN SOCIETY FOR ENGINEERING EDUCATION PACIFIC SOUTHWEST SECTION CONFERENCE UCR, APRIL 18-20, 2013 Using Arduino Microcontroller Based Robot Projects to Teach Mechatronics in a Hands-On Mechanical Engineering Curriculum Andrew Siefert, Jonathan Hoy, Keith Christman, Dr. Kevin R. Anderson, P.E. California State Polytechnic University at Pomona Mechanical Engineering Department Mechatronics and Robotics Laboratory
Paper ID #7413A Hybrid Approach to Teaching Materials Science Using POGIL and ActiveLearning ActivitiesDr. Eunice Yang, University of Pittsburgh, Johnstown Dr. Eunice Yang received her doctorate in mechanical engineering from the Pennsylvania State University in 2006. She is currently an assistant professor at the University of Pittsburgh Johnstown campus. She has taught courses in Mechanical Measurements, Mechanical Measurements Lab, Materials Science, Stat- ics, Dynamics, Matlab, Fluid Dynamics, Strength of Materials Lab, Engineering Design, and Autodesk Inventor. Her current research interest lies in the area of
Paper ID #6268FlowVisual: Design and Evaluation of a Visualization Tool for Teaching 2DFlow Field ConceptsMiss Man Wang, Michigan Technological UniversityMr. Jun Tao, Michigan Technological UniversityDr. Chaoli Wang, Michigan Technological University Dr. Chaoli Wang is an assistant professor of computer science at Michigan Technological University. His research focuses on large-scale data analysis and visualization, high-performance computing, user inter- faces and interaction, and computer science education. He received B.E. and M.E. degrees in Computer Science from Fuzhou University, China, in 1998 and 2001, respectively, and
Paper ID #6402Incorporating New Trends and Teaching Methodologies: Improving State ofEngineering Education In PakistannDr. Salahuddin Qazi, State University of New York, Institute of Tech. Salahuddin (Sala) Qazi holds a Ph.D., degree in electrical engineering from the University of Technology, Loughborough, U.K. He is a full Professor (Emeritus) and past chair in the School of Information Systems and Engineering Technology at the State University of New York Institute of Technology, Utica. Dr. Qazi has published several articles, book chapters in the area of fiber doped amplifiers, wireless security, MEMS based wireless
, laboratory practices, modeling andsimulation practices, worksheets/spreadsheets) has been developed for the DE course. Its mainaxis is concerned with the modeling of biological, physical or chemical phenomena.Recent research has shown the need to change the way to teach DE, from the “traditional” way,which emphasizes analytical methods, to an integrative mode, which uses graphical andnumerical methods. This integrative mode should enable students to identify and recognize a DEin its different representations; and thus, improve the learning of DEs as mathematical objects.The student should not only learn how to use techniques to solve DEs but also learn theapplication of the DE as a tool to model several problems. This is also strengthened through
Paper ID #7874Factors That Help and Hinder Teaching Assistants’ Ability to Execute TheirResponsibilitiesFarshid Marbouti, Purdue University, West Lafayette Farshid Marbouti is currently pursuing his Ph.D. in Engineering Education at Purdue University. His research interest is first-year engineering and specifically using learning analytics to improve first-year engineering students’ success. He completed his M.A. in the Educational Technology and Learning De- sign at Simon Fraser University in Canada, and his B.S. and M.S. in computer engineering in Iran.Kelsey Joy Rodgers, Purdue University, West Lafayette Kelsey
Paper ID #7026Illustrating Rotating Principal Stresses in a Materials Science CourseProf. Somnath Chattopadhyay, Georgia Southern UniversityDr. Rungun Nathan, Penn State Berks Dr. Rungun Nathan is an associate professor in the division of engineering at Penn State Berks. He got his B.S. from University of Mysore, DIISc from Indian Institute of Science, M.S. from Louisiana State University and Ph.D. from Drexel University. He has worked in the area of Electronic Packaging in C- DOT (India) and then as a Scientific Assistant in the Robotics laboratory at Indian Institute of Science, Bangalore, India. He worked as a post
eLearning environmenthave been of great interest to the teaching faculty of institutes of higher learning. The use of sucha platform for educating students in the various disciplines of engineering has, in particular,triggered much interest. In fact, many academic institutes are now turning to online engineeringas the panacea to combat the issue of low enrollment. This latest trend has led to significantstructural changes worldwide in engineering education. However, this shift to the eLearningenvironment has failed to successfully solve issues relating to quality, effectiveness, and thefeasibility of conducting online laboratory experiments. The rapidly changing technologicallandscape has also forced educators to devise, implement, and later
Paper ID #7080Using the Processing, Properties and Characterization of Brass to Teach theDifferences Between Crystal Structure and MicrostructureMs. Anastasia Micheals, San Jose State University Anastasia Micheals teaches in the Materials Engineering department at San Jos´e State University, and manages the SEM Laboratory for the SJSU Materials Characterization and Metrology Center [MC]2, where she performs and directs research and materials characterization. She holds an M.S. in Materials Science and Engineering from Stanford University. Outside the classroom, she consults in materials failures due to processing and
Delco Electronics as a subsidiary of General Motors Hughes Electronics). Dr. Wagner is a Professor and Chair of the Dynamic Systems and Controls Group at Clemson. His research interests include nonlinear and intelligent control systems, dynamic system modeling, diagnostic and prognostic strategies, and mechatronic system design. He has developed the multi-disciplinary Rockwell Automation Mechatronics Educational Laboratory which features hands-on robotic, programmable logic controller, electronic, and material handling experiments. He is a former As- sociate Editor of the ASME Journal of Dynamic Systems, Measurement, and Control and IEEE/ASME Transactions on Mechatronics, respectively. Dr. Wagner is a licensed
Paper ID #5982Innovations in Nano Materials Education through International Collabora-tionsDr. Ajit D. Kelkar, North Carolina A&T State University Dr. Ajit D. Kelkar is a professor and chair of Nanoengineering department at Joint School of Nanoscience and Nanoengineering. He also serves as an associate director for the Center for Advanced Materials and Smart Structures. For the past twenty five years he has been working in the area of performance evaluation and modeling of polymeric composites and ceramic matrix composites. He has worked with several federal laboratories in the area of fatigue, impact and finite
chosen to create a new way to define whichstudents used active learning that was based on specific active learning teaching methods and notself-reported perceptions. While there are a range of teaching methods that could have been Page 23.136.13chosen for this analysis, this new definition for active learning use is based on approaches thatare relatively easy for graduate students to implement, yet would require some amount ofpreparation time in order to fully develop the activity. Further, the selected teaching methodsreflect those approaches that were most applicable to the discussion and laboratory environmentsand not necessarily for those
Paper ID #6148How to Write a Textbook in Ten Easy StepsDr. Barry Dupen, Indiana University Purdue University, Fort Wayne Dr. Dupen is an Associate Professor of Mechanical Engineering Technology at Indiana University Purdue University Fort Wayne (IPFW). He has nine years’ experience as a metallurgist, materials engineer, and materials laboratory manager in the automotive industry. His primary interests lie in materials engineer- ing, mechanics, and engineering technology education. He is also an experienced contra dance caller