Paper ID #8859Student Peer Teaching in Engineering Laboratory SituationsDr. Ernest M. Kim P.E., University of San Diego Ernest M. Kim received the B.S.E.E. from the University of Hawaii at Manoa, and M.S.E.E. and Ph.D. in Electrical Engineering from New Mexico State University. After spending ten years in industry at the then National Bureau of Standards (now NIST) in Boulder, Colorado, Burroughs Corporation (now Unisys) in San Diego, California, and TACAN Corporation in Carlsbad, California, he joined the faculty of the University of San Diego in 1990. He is currently Associate Professor of Electrical Engineering at
generationof engineers and scientists. Teaching micro and nano scale technologies is often challenging andexpensive due to the cost and complexity of typical systems that are utilized to access the microand nano realm. In this work we discuss the Class on a Chip System, which has four maincomponents: packaged Microelectromechanical Systems (MEMS) chip, driver board/controlelectronics, graphical user interface, and laboratory experiments. The system provides arelatively low cost MEMS experimentation platform which can be utilized through a reasonablecontingent of laboratory tools (microscope and personal computer) available at most educationalinstitutions to teach fundamental physics and engineering knowledge, as well as illustrateimportant micro and
classes were held in the laboratory. For this course, thissetting eases the flexible adoption of a variety of teaching methods, depending on thecharacteristics of different course topics in sequence. The main teaching formats and materialemployed in this course are presented as the following.At the beginning, we used power point slides presentation and class discussion to introducestudents the topics on defining real-time systems. These topics are basis for further learning.Thus, it is important to help students to set up a solid and comprehensive foundation. In the classdiscussion, some questions are designed to enable students to reflect on key concepts in real-timesystems, and to encourage active learning. Here are some examples: 1) Are real
Paper ID #10563Customizable Virtual X-Ray Laboratory: An Innovative Tool for InteractiveOnline Teaching and LearningDr. Yakov E. Cherner, ATEL, LLC Dr. Yakov E. Cherner, a Founder and President of ATEL, LLC, taught science, engineering and technology disciplines to high school, college and university students. He has extensive experience in writing cur- ricula and developing educational software and efficient instructional strategies. Dr. Cherner introduced an innovative concept of multi-layered simulation-based conceptual teaching of science and technology. This instructional approach uses real-world objects, processes and
Paper ID #8806UML Laboratory in a box, a new way of teching ECE labsProf. jay a weitzen, University of Massachusetts Lowell Jay Weitzen has been at University of Massachusetts Lowell for 27 years. He has strong interests in both wireless communication research and in providing students with high quality hands on design experiences. He teachs the first year intro to ECE course and also serves as chair of the College of Engineering First Year Education Committee and serves on the Capstone design committee. Recently he has been working with Analog Devices to beta test their new discovery module which is a complete laboratory
engineering teaching to frame his research on STEM teaching and learning. Nadelson brings a unique perspective of research, bridging experience with practice and theory to explore a range of interests in STEM teaching and learning.Anne Louise Seifert, Idaho National Laboratory Anne Seifert Idaho National Laboratory K-12 STEM Education Manager and the Director of i-STEM Anne Seifert is the Science, Technology, Engineering and Mathematics (STEM) Coordinator for the Idaho National Laboratory (INL). She received a BS elementary education with a focus in science and special education from University of Idaho. She completed a MA in Education Administration and an EDS in Educational Leadership at Idaho State University. As a 30
voltage values. • Start ControlDesk and obtain the layout as shown in Fig. 6. Figure 6. The ControlDesk Interface Snapshot for the Wind Turbine Emulation System • The teams were also reminded about the final experimental setup verification by the Teaching Assistants before starting the operation: BEFORE turning on the final system, have the laboratory TA check the system connections, the model in Matlab, the layout in Dspace, and the auxiliary system connections. Since the initial wind speed is nonzero in Fig. 3, the system shaft rotates at high speeds immediately after turning it on! The teams were given the following concept questions during the actual laboratory and were asked to
other senior students.V. Future Improvement Based on our experiences from teaching DSP courses, we felt that in Portion 1, all thelectures containing well-established topics including the digital spectrum, the FIR and IIR filterimplementations and developed laboratories are suitable. Even though the topics of DFT, FFT,bilinear transform method and optimum design seemed challenging to our technology studentsdue to the demand of their math proficiency to understand certain subjects, we still havesuccessfully delivered the course materials with an emphasis on principles and hands-onapplications instead of theoretical development. On the other side, based on the DSP industrialtrend, we could improve the course by introducing additional
continualimprovement as a major portfolio theme. Others might choose excellence in a pedagogicalspecialty, such as successful implementation of new technologies for teaching, or in teachingsuccessful laboratories. Ideally, the claims can be related in some way to the portfolio author’steaching story and philosophy. Participants in the panel session that this paper accompanies willleave the session with handouts containing reflective prompts and a framework of claims thatcould be made about their individual teaching. As the author decides what they intend to claimabout their teaching, they should also think about what kinds of evidence they can provide tosupport such claims.The evidence selected for inclusion in a teaching portfolio needs to be carefully
University Richard J. Kozick received the B.S. degree from Bucknell University in 1986, the M.S. degree from Stanford University in 1988, and the Ph.D. degree from the University of Pennsylvania in 1992, all in electrical engineering. From 1986 to 1989 and from 1992 to 1993 he was a Member of Technical Staff at AT&T Bell Laboratories. Since 1993, he has been with the Electrical Engineering Department at Bucknell University, where he is currently Professor. His research interests are in the areas of statistical signal processing and communications. Dr. Kozick received a ”2006 Best Paper Award” from the IEEE Signal Processing Society and the Presidential Award for Teaching Excellence from Bucknell University in 1999
report Students were introduced basic scientific writing process of journal article-like laboratory reports and Page 24.575.4 scientific data analysis process.14 Final PresentationUndergraduate students usually have a very limited experience with the scientific writingprocess, data analysis, and preparation of high-quality figures. Within this course, one laboratorymodule was entirely dedicated to teach students the writing process of journal article-likelaboratory reports and scientific data analysis. In this context, faculty elaborated in detail thestructure and content of a journal article-like lab report
, overall assessment of the management of the project, and changes ofstudent attitude toward the targeted laboratory courses and general STEM courses. Thisinformation was used for quantitative and qualitative analysis as well as the continuousimprovement/updating of the teaching materials, experimental facility, and delivery approach.There was an inbuilt data collection system (questionnaire) within the environment. The studentsneeded to complete the questionnaire on a weekly basis.Assess the effectiveness of the environment for achieving students learning outcomes: Both theformative and summative evaluation were conducted for this part of the evaluation. For formativeevaluation, the test- and control-groups were given pre- and post-test at the
Paper ID #10392Impact of Engineering Design Serious Game on Student Learning in a K-12CurriculumMr. Pramod Rajan, Laboratory for Innovative Technology & Engineering Education (LITEE) Pramod Rajan got his Bachelors in Mechatronics Engineering from Bharathiar University, India in 2004 and working on his Ph.D. in Mechanical Engineering at Auburn University. He is working with the Laboratory for Innovative Technology and Engineering Education (LITEE) at Auburn University. His research focuses on development and testing of innovative instructional materials like case studies, smart scenarios and serious games to improve
the advisor for OSU’s student chapter of the Architectural Engineering Institute. Professor Ramming recently co-authored Civil Engineering & Architecture: Workbook for Project Lead the Way which provides curriculum for sci- ence, technology, engineering, and mathematics education used in middle and high schools. She was also named the Outstanding Faculty Member from the College of Engineering, Architecture and Technology by the The Panhellenic Council and Interfraternity Council in 2010 and 2012 and awarded the Halliburton Young Teaching Award in the College of Engineering, Architecture and Technology in 2013.Prof. John J Phillips P.E., Oklahoma State University John Phillips, a registered engineer and
, requires learners to continually evaluate posedchallenges based on what they know and refine this understanding through a series of formallearning experiences. A version of challenge-based learning has been used in an introductorycourse of dynamics to teach kinetics and kinematics to sophomores in a civil engineeringdepartment at Rose-Hulman Institute of Technology. As an introduction to specific instructionalsequences, students were posed a challenge to frame the remaining lectures for that topic. Oncethe challenge was introduced and before any formal instruction, students were asked to generateideas about the immediate problems they needed to solve and to generate ideas about potentialsolutions. In addition, they were asked to generate questions
successful solution isreduced on successive retakes.Compared to conventional teaching and assessment methods, mastery learning provides concreteevidence that students who “pass” the fundamental engineering courses, even with “C” grade,should be able to correctly solve fundamental engineering problems and are prepared tosuccessfully pass the more advanced engineering courses. This approach has been implementedover the past eight years in the School of Engineering at Penn State Erie, the Behrend College(SOE) for key sophomore engineering courses, i.e., Statics, Strength of Materials, andThermodynamics 4. These courses are the foundation of many engineering disciplines andpassing these courses should mean that the student has the capability to apply
Chinese history. Leighbody andKidd also concluded "learning requires active experiences" in their survey3.Nowak4 ranked teaching strategies and learning activities within technology education. Thehighest ranked strategy was the one with product-oriented and laboratory-based content. Thesecond highest rank was for strategy using technology focus, and the lowest was for strategy thatrelied heavily on classroom orientation.Having hands-on laboratory is one condition, but the laboratory practices should be relevant toprepare graduates for their manufacturing career. Miller5 surveyed 25 department heads of USmanufacturing programs and concluded that an exemplary manufacturing program should: a) Require more technical coursework, b) Require or
, Page 24.468.18 complimenting what was already being done in the context of reliability.” • R8.13: “The required laboratory courses (Sophomore, Junior, Senior) emphasize statistics and uncertainty analysis in Design of Experiments. Students in the Junior level Machine Design course are taught to consider the variability of materials, manufacturing processes, and unpredictable factors of products in service such as variable loading, and the necessity for a factor of Safety. They analyze the empirical nature of fatigue analysis, and apply fundamental concepts of uncertainty in designing components.” • R8.14: “We focus on teaching them how to deal with uncertainty through prototyping and
Paper ID #9526Green Plastics Laboratory by Process Oriented Guided Inquiry Learning(POGIL)Dr. Spencer S Kim, Rochester Institute of Technology (RIT) Dr. Spencer Kim is an Associate Professor in Mechanical and Manufacturing Engineering Technology Department (MMET) at RIT, and serves as Associate Director of American Packaging Corporation Cen- ter for Packaging Innovation at RIT. He previously worked in the semiconductor industry. Dr. Kim, as a PI or Co-PI, received grants and sponsorship from NSF, SME, SPE, universities, and industries. In 2009 and 2013, he was nominated for the Eisenhart Award for Outstanding Teaching, RIT’s
. Page 24.97.1 c American Society for Engineering Education, 2014 A REALISTIC INTELLIGENT MULTIMEDIA VIRTUAL LABORATORY FOR POWER ENGINEERINGAbstract Laboratory works and exercises play an important role in learning and increasing students’understanding of basic concepts in engineering. Although a laboratory practicum is oftenconsidered a key component of engineering education, a hands-on approach is often ignored forcourses involving electrical machines for various reasons, such as safety, expense, and lack ofqualified teaching assistants. In this paper, we present the on-going development of a realisticsoftware environment which simulates an electrical machines laboratory
and conclusions are presented by the studentsin comprehensive laboratory reports. The process of comparing of all individual files to calculaterequired parameters is very time-consuming. This task can be simplified and automated usingmacros. Two Excel macros were developed by the graduate teaching assistant and provided tostudents to assist with the processing of data stored in the form of Excel files. The first macroevaluates pulse parameters, such as times for positive peak and negative peak, and peak-to-peakamplitude voltage for all of the Excel files that are stored inside a particular folder. The secondmacro combines all of the evaluated parameters together in one Excel file. Utilizing thisapproach to teaching laboratory-based courses
related to the remote laboratories.Remote laboratories are gaining popularity among researchers and educators, and there are anumber of reported initiatives in terms of system design, technology use, and pedagogical issues.These laboratories have great potential and can bring a new dimension for teaching the STEM(Science, Technology, Engineering, and Mathematics) disciplines.5, 6 However, the integrationof a number complex technologies and the current development structure of remote laboratorieshave made it difficult to develop and obtain sustainability.7As a continuation of Internet accessible remote laboratory facility development, the lead authorrecently integrated a couple of control system experiments into the facility. This paper
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Performance OutcomeFigure 2. Assessment of 15 performance outcomes including both a self-assessment score and acomposite score derived from graded assignments and exams Students were also given the opportunity to provide written comments regarding thecourse. The following comments [unedited] specifically addressed the use of in-class problemsets and the laboratory format: I actually really do like your teaching style with the use of class problem sets and working through these during lecture to learn the material. I feel this is a great way for me to
Paper ID #10174A Laboratory Exercise - Unmanned Vehicle Control and Wireless Sensor Net-worksDr. Lifford McLauchlan, Texas A&M University, Kingsville Dr. Lifford McLauchlan completed his Ph.D. at Texas A&M University, College Station. After spending time in industry, he has returned to academia. He is an associate professor at Texas A&M University -Kingsville in the Electrical Engineering and Computer Science Department. His main research interests include controls, robotics, education, adaptive systems, intelligent systems, signal and image process- ing, biometrics and watermarking. He is the current chair of
Paper ID #8574Enhancement of the Engineering Measurements Laboratory for SemesterConversionDr. Michael J. Schertzer, Rochester Institute of Technology Michael J. Schertzer received the Bachelor of Engineering and Management and Master of Applied Sci- ence degrees from the Department of Mechanical Engineering at McMaster University in Hamilton, On- tario, Canada. He earned his Doctorate in the Department of Mechanical and Industrial Engineering at the University of Toronto for his work characterizing the motion and mixing of droplets in Electrowetting on Dielectric Devices. Before joining the Mechanical Engineering
boom and a budget not to exceed$15 per group. Results of this project will be presented at the 2014 ASEE Annual Conference.Final remarksWhen the Mechanics Based Design Laboratory course was first developed in 2012, assessmenttools were not included in the curriculum to provide information on the effectiveness of thecourse. Anecdotal comments from the students and from the teaching assistances (several ofwhom had taken the four-credit course prior to 2012) indicate that the laboratory course isdelivering the hands-on experiences and the machine design instruction that was missing prior toits inception.Reference 1 Nagurka and Anton, “Discovery learning experiments in a new machine design laboratory,” Proceeding from the 2013 ASEE
assistants. At many universities, teaching assistants are employed to lead discussionsections, provide grading assistance, and provide laboratory assistance. The purpose of thisreport is twofold: 1) To describe perspectives of engineering teaching assistants on incorporatingnon-traditional teaching methods and 2) To propose methods that minimize the perceivedbarriers reported by engineering teaching assistants.An online survey was chosen as the assessment method to describe perspectives and practice ofengineering teaching assistants. The use of surveys for assessment in engineering education is a Page 24.1372.2common practice.4 This method was
responsibilities is key to their ownacademic success making appropriate mentoring and training crucial1.In the College of Engineering each of our four departments was assigned funding for threeTeaching Assistants that are designated Fellows. The Teaching Fellows (TFs) not only takeclasses, work on their thesis research and assist with undergraduate laboratories, they also havethe opportunity to gain direct classroom experience as instructor of record for a freshman orsophomore course. With these opportunities in mind, the College of Engineering Dean’s Officeand the four department Chairpersons formed a committee to develop a summer trainingprogram that prepares the TFs for the teaching experience.Since TFs are assigned to a wide variety of different
Paper ID #8470Effectiveness of Blended Teaching of Electrical Machinery CourseProf. Aleksandr Sergeyev, Michigan Technological University Aleksandr Sergeyev is currently an Associate Professor in the Electrical Engineering Technology program in the School of Technology at Michigan Technological University. Dr. Aleksandr Sergeyev earned his bachelor degree in Electrical Engineering at Moscow University of Electronics and Automation in 1995. He obtained the Master degree in Physics from Michigan Technological University in 2004 and the PhD degree in Electrical Engineering from Michigan Technological University in 2007. Dr
. Page 24.842.1 c American Society for Engineering Education, 2014 LabVIEW: A Teaching Tool for the Engineering CoursesAbstractComputer programming in languages such as Visual Basic, C++, or JAVA follow a control flowmodel of program execution. In the control flow model, the sequential order of program elementsdetermines the execution order of a program. A program written in LabVIEW uses a slightlydifferent approach compared to the conventional method known as dataflow programming.LabVIEW stands for Laboratory Virtual Instrument Engineering Workbench. This powerfulgraphical development system, developed by National Instruments (NI), is a widespread teachingtool and is used in many industries. LabVIEW can