advanced manufacturing area. We recruitedfifteen high school and community college STEM educators for a six-week immersive summerresearch experience in the state-of-the-art robotics laboratory. At the end of their researchworkshop, they developed customized hands-on advanced manufacturing curricula for theirstudents. This project produced fifteen competent high school and community college educators,who are capable of blending research with educational activities at their institutions, motivatingstudents for STEM degrees, and building long-term collaborative partnerships in the region. Thispaper will share some of their successful research projects, how they translated their research intoactionable curriculum modules, and some lessons learned from
research in engineering technology education and the understanding of engineering technology students. She teaches in an active learning style which engages and develops practical skills in the students. Currently she is exploring the performance and attributes of engineering technology students and using that knowledge to engage them in their studies. American c Society for Engineering Education, 2021 Active Experiential Learning at a DistanceAbstractE-learning became the mode of instruction for students worldwide during the COVID-19pandemic. Instruction was forced onto numerous online platforms quickly, some seamlessly andsome not. For those not
catalog.New material is generally taught as a special topics course for 1 to 3 times, and then successfulcourses are proposed to be regular courses published in the catalog. In the College ofEngineering new courses must submit a course proposal that is approved by the department(generally via a curriculum committee), and then approved by the Dean. To date, few EVENstudents have taken these courses, which would count as technical electives toward the ABETaccredited B.S. degree. The physics course has been the most popular among EVEN students,likely because it has been reliably offered and has no pre-requisites. Textbooks used in thecourses are also listed. Many of the courses use reading packets or notes developed by theinstructor rather than a
computed given the team’sperformance and their contribution. The individual mark is then summed with the team mark toproduce a final grade. The techniques were developed, refined, and evaluated over a period from1998 to 2004. Page 14.181.4In a 1984 publication, Sanders8 addresses individual assessment for a senior-level directedproject course in which students were divided into teams, and each team partnered with a realcustomer to develop a software application. Given the varied background of the students, thecompositions of the teams, and the difference between projects, a team and project neutralevaluation scheme was required to assess each
engineering curriculum.The solid modeling courses provide a unique opportunity to work with many of the corecomponents of the engineering design process much earlier in the curriculum. For instance, thedevelopment of a solid model of a complex part requires identifying criteria (such as necessarydimensions), brainstorming, generating ideas, developing a plan to produce the solid model in anefficient manner, and actually constructing the solid model. Additionally, there can be someiterations in the plan as the designer attempts to develop a creation path and runs into an obstacleand has to revise the plan.Unlike full-scale engineering design, Mathematics and Physics are not obstacles in the designprocess involved with the creation of 3D solid models
has been a central figure in the design, development and articulation of curricula for educating manufacturing engineers in the United States and in selected off-shore venues. He also participates in Surface Mount Technology Association and Institute of Electrical and Electronics Engineers. Prior to joining NDSU, Dr. Wells held manufacturing engineering and management positions in energy, aerospace, commercial sheet metal and automotive industries for twenty-six years. He also held a faculty position at University of Cincinnati for fifteen years, including thirteen years as chair of a department of some five hundred student head-count. He has also served as an
manufacturing industry. He has also worked on novel biomechanical research projects with the Pennsylvania State University College of Medicine. Janose also taught engineering courses at Pennsylvania State University. His research, and teaching interest include innovative product development, additive manufacturing, and project management.Joseph Ekong Dr. Joseph Ekong is an Assistant Professor in the Department of Industrial Engineering and Engineering Management at Western New England University. Previously, he served on the faculty at Ohio Northern University. Dr. Ekong received his Bachelor of Engineering degree in Electrical and Electronics Engineering from the University of Uyo, Nigeria in 2005 and Master of Science degree in
to form a working RF data collection subsystem. Finally, a true RF beacon station isestablished at 3.579 MHz by combining the audio beacon signal with a single sidebandtransmitter and attenuator.PSK31 Audio Beacon ConceptAs the name implies phase shift keying (PSK) modulates the phase of a carrier, and the number''31'' references the actual bandwidth of 31Hz occupied by the signal. The original software forthis modulation technique was written and developed by Martinez [1]. Two features that makePSK31 an ideal mode for digital communications are the extremely narrow bandwidth of thetransmitted signal, and the high immunity of PSK to background noise. A current use of thistechnique is keyboard-to-keyboard communication between two or more
(PDM) majors and does not have dynamics as aprerequisite. Learning outcomes are compared for students from these two different coursesthrough common final exam questions and a common lab activity. This paper presents a baselineassessment of whether or not students who do not take dynamics can develop a solidunderstanding of the dynamics of under-damped, second-order systems along with a preliminaryinvestigation into the effectiveness of several strategies for teaching dynamic systems. This paperalso presents results from an online survey regarding how the course affected students’ attitudestowards computer programming and their assessment of their programming skills.Introduction and BackgroundThis work-in-progress paper provides both a bench
education, sustainability, and applied statistics. In the past, he has implemented several grants from the NSF, NASA and SME-EF. He has also received several teaching awards at Texas State.Dr. Araceli Martinez Ortiz, Texas State University, San Marcos Araceli Martinez Ortiz, Ph.D., is Assistant Research Professor of Engineering Education in the College of Education at Texas State University. Araceli is also director of the LBJ Institute for STEM Educa- tion and Research where she collaborates on various state and national STEM education programs and is PI on major grant initiatives such as the NASA Educator Professional Development Collaborative and NSF Texas State STEM Rising Stars. Araceli holds Engineering degrees from
different directions. In particular, they and Istruggled over where psychology should have its home.At the University of Virginia, I came into what was then the Humanities Division (see paper byIngrid Soudek). Whereas my departments at Michigan Tech were outside of Engineering andwere expected to develop their own majors and graduate programs, the Division was within theEngineering School and was expected to focus on engineering education. The structure of theDivision encouraged cooperation across disciplines (see paper by Ingrid Soudek).My work with Bernie resulted in several scholarly publications (Carlson & Gorman, 1990;Gorman, 1990; Gorman, Mehalik, Carlson, & Oblon, 1993). When we showed one or two to asympathetic Dean, he challenged
Paper ID #42967Exploring Career Growth for Deaf and Hard-of-Hearing Individuals via MachiningTraining: A Comparative Behavioral AnalysisKrzysztof Kamil Jarosz, Rochester Institute of Technology Graduate Research Assistant at RIT SMRGYan-Ting Chen, Rochester Institute of Technology Yan-Ting Chen received his Master of Science degree in Electrical and Computer Engineering from Miami University, U.S., in 2018. During the MS program, his research interest was mainly focused on the methods of measuring ambient toxins by developing an array of chemical sensors and analyzing data using machine learning. Now, he is currently
perspectivegreatly enhanced the analytical processes necessary for problem solving [1].The use of case studies in the curriculum also proved an effective tool in enhancingproblem solving strategies. Students need “opportunities to link the theoretical constructsdeveloped in the classroom with the practical application in the workforce” [4].Perhaps the greatest advantage for using cases in an engineering classroom is thatstudents must focus on the applications in the workforce by solving real world problems.There are numerous advantages for integrating cases into an engineering curriculum.These can be generalized in four main categories: 1) cases provide students with a link tothe real world; 2) cases develop students’ critical thinking and problem solving
; Ohland [12] have analyzed curriculum catalogs of fiveengineering departments of nine institutions included in the Multiple-Institution Database forInvestigating Engineering Longitudinal Development (MIDFIELD). Stephan [31] has surveyedethics-related course requirements of engineering colleges of US universities based on academiccalendar 1996-1997. These studies are qualitative, focused on a few engineering disciplines anduniversities and conducted before ABET EC 2000 criteria, respectively. Therefore, we concludedthat an opportunity exists for characterizing the wider landscape of current variations ofengineering ethics education in undergraduate engineering curricula of universities in the UnitedStates. Our work approaches this opportunity
Education, 2023An Upper-level Undergraduate Course in Renewable Energy with Power Electronicsand SimulinkAbstractTo meet the demand for skilled professionals in renewable energy in the Puget Sound region, anupper-level undergraduate course was developed. The course is primarily focused on renewableenergy sources with added emphasis on the electrical aspects and the power electronicsassociated with such technologies. Simulink and SimPowerSystems based simulation exercisesare integrated in the course to enhance student motivation and to provide students withmarketable skills. The paper describes the contents of the course, associated power electronicstopics, sample Simulink exercises and the teaching methods used. The effectiveness of thecourse is
efficient technique in covering and presenting a large amount ofinformation to a large number of students. It is also known that simple presentation ofinformation does not constitute good transfer of knowledge from the teacher to the learner. Thetechniques and material expected to be transmitted should be useful to students and must beretained in the long term memory. At the same time, the students should be able to generalizethat knowledge gained to other and similar situations. There are a number of instructional methods being developed and practiced in highereducation as a means of changing the traditional teaching methodologies [1-13]. Some of theseinclude cooperative learning, case based teaching, writing across the curriculum, and
in each mesh that is not adjacent to a current source. Solve the set of equations thus obtained. Page 14.322.9 Figure 10: Mesh Analysis FlowchartAssessmentThe flowchart in Figure 10 was developed during the spring semester of 2008. Mesh analysisproblems on quizzes and final exams have been analyzed to determine the number of studentswho attempted to write a mesh equation across a current source. Quizzes and final exams werealso examined to determine the number of students who wrote an equation in a mesh containingan outer-branch current source; the students should have recognized that the current in such amesh is
drivenby the need in our program to update its electronics and telecommunications curriculum to teachpacket-based communications. We have discussed the different areas that students are mostlycurious about, and as future work we plan to develop these other areas as well. Otherexperiments (along with updated lecture contents) will include wireless networks and securityissues under this VoIP initiative umbrella.References1. Bur Goode, “Voice Over Internet Protocol (VoIP),” Proceedings of the IEEE, Vol. 90, No. 9, pp. 1495-1517, September 2002.2. Goulart, A., “Voice over IP – VoIP”, http:// www.matec.org/convention/archive2008/presentations_2008.htm.3. Goulart, A., A project on combining laboratory and simulation experiments on Voice over IP
computing curricula in a varietyof ways. Authors have written about integrating software testing throughout their curriculum andusing software development methods such as Extreme Programming2, 3, 4. Papers have beenwritten on how some software engineering techniques, such as pair programming, can helpincrease retention, particularly of female students7, 8.This paper suggests that other software engineering practices can be used to help increase thesuccess rates in lower division courses, which should translate into increased retention rates. Inparticular, use of detailed work plans and periodically monitored time logs and version controlcheck-ins is examined. The underlying assumption is that students need to be encouraged to startprograms early
full interactivity. In addition, student usage and readingrates can thus quantify usefulness and quickly guide further development to improve studentlearning outcomes.The dearth of available reading data for higher education students has been discussed in previouscontributions in this area recently [1-3], and will not be elaborated upon here. Alternatively, digitalclassroom technologies provide more data to students and instructors than any previous period inhigher education. From downloads of documents, page views in a course management system, orclicker responses in class, the ubiquitous term “big data” applies in most modern higher educationclassrooms.Interactivity is central to collecting large data sets. The interactive textbook discussed
AC 2007-244: A MANUFACTURING PROCESSES COURSE FOR MECHANICALENGINEERSRod Hoadley, California Polytechnic State University Rod Hoadley has been teaching as a part time lecturer in the Manufacturing Engineering Department and the Industrial Technology Department at California Polytechnic State University, San Luis Obispo since 1996. He has a BS in Engineering Technology and an MA in Industrial Technology from California Polytechnic State University, San Luis Obispo. Rod has designed, developed, manufactured, and marketed numerous bicycle related products including a dial gauge wheel centering tool for building and maintaining spoked bicycle wheels; and a patent pending bicycle parking rack
one of the founding faculty of the U. A. Whitaker College of Engineering. As an assistant professor from 2007-2012, she helped develop the curriculum for the bioengineering design courses and was involved in teaching courses from the sophomore to senior levels. Dr. Csavina received a Bachelor’s degree in Mechanical Engineering from University of Dayton in 1992 and a Ph.D. in Bioengineering from Arizona State University in 2003. Her research interests range from motion analysis of human motion in move- ment disorders, orthopedics and sports to engineering education research in student learning, pedagogical approach, and K-12 outreach initiatives.Prof. Lisa Zidek, Florida Gulf Coast University Lisa A. Zidek is
microprocessor or microcontroller. The computer exists in a digital world that isbased on a discrete system where the amplitude and time are quantized. That is, a discretesystem does not allow all values for all times. Rather it allows a limited number of values atdiscrete instances in time.The interfaces between the analog and discrete world is the analog-to-digital (A/D) converter forinputs and the digital-to-analog (D/A) converter for outputs. The A/D converter converts thephenomena that we observe into information that the computer can understand, and the D/Aconverter converts the information that the computer develops into analog data that we can use toobserve, control or manipulate a specific phenomena.We can and often use complex mathematical
-enabled frequent feedback. Prior to her role and Director of Instructional Effectiveness, she worked as the Education Project Manager for the NSF-funded JTFD Engineering faculty development program, as a high school math and science teacher, and as an Assistant Principal and Instructional & Curriculum Coach.Dr. Ryan J Meuth, Arizona State University Dr. Ryan Meuth is a Freshmen Engineering Senior Lecturer in the Ira A. Fulton Schools of Engineering, and also teaches courses in Computer Engineering for the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University.Dr. Brent James Sebold, Arizona State University Dr. Brent Sebold is an expert faculty designer and administrator of
apply to multidisciplinary systems, and where to begin if the system is not predefined. Function provides a basis from which to start a qualitative analysis and, again, reinforcing gaining a deeper understanding of how the system works. Students must fully understand the system being analyzed in order to properly develop a mathematical model, and determine if the response, evaluated under certain conditions, makes sense or not. Function plays a fundamental role in these decisions and hones the students’ quantitative analysis skills for complex systems.Scaffolding Approach Used in StudyTo further improve Madison Engineering design curriculum, we implemented and evaluated theAlgorithmic Approach for teaching
textbooks and/or robotic programs are designed for engineering programs. Assuch, there is a great deal of mathematical modeling and analysis which is not fitting for atechnology curriculum. At the other end of the spectrum, there are a myriad of low level roboticsbased curriculum such as the LEGO or the Parallax Boe-bot robot platforms. These are normallyused in K-12 educational and summer programs. This paper presents the process of developing asuitable robotics course for electronic engineering technology program (EET). We first presentthe challenges encountered when developing the course content to suit the engineeringtechnology curriculum. The curriculum content for both classroom lecture and laboratorysections are then discussed. A discussion
electronic system rather than just prototype it on a breadboard orsimulate it in software students learn through experience that errors can be costly in terms ofmoney and time. Students learn that errors or bad decisions tend to propagate through a projectand need to be corrected early in the development phase. On average, student teams go throughthree iterations of project fabrication before they achieve an acceptable result. A second value tothe fabrication project is that most students will work with or manage people responsible forfabrication. Experiencing the process first-hand provides valuable insight into the productionside of engineering even if it is performed overseas.Project Two: Using Design Skills to Build SubsystemsThe second project
. Because of theinteractive nature of the labs, it has been determined that more than sixteen students per labsection detracts from the lab experience. Equally as important, the new applied electromagnetics course has had an impact on therest of the curriculum, especially in telecommunications. Students are now obviously moreprepared for material presented in upper level courses and professors have been able to coveradvanced material more deeply. Future work includes the development of a follow-on class inRF electronics where students will design and build a radio transceiver.References 1. Hofinger, R.J., “Foreseeing Electrical Engineering Technology - Expectations in the 21st Century,” 2001 American Society of Engineering
AC 2008-1750: PRELIMINARY EXPERIENCE OF USING A LEARNING ANDKNOWLEDGE MANAGEMENT SYSTEM FOR AN SE-1 COURSEJ. Scott Hawker, Rochester Institute of Technology Dr. Hawker is an Assistant Professor of Software Engineering at the Rochester Institute of Technology (RIT). He graduated with a B.S. and M.S. in Electrical Engineering from Texas Tech University. He graduated with a Ph.D. in Electrical Engineering from Lehigh University. He has over 15 years of industry experience developing large-scale, multi-agent information and control systems for diverse applications including manufacturing, combat pilot mission decision support, robotics, and surveillance. In these areas, he developed and
of C.E. Technology appeared to be just around the corner, because graduates fromsuch programs would no longer have the opportunity to seek registration as ProfessionalEngineers. The ASCE “raise the bar” initiative has finally developed real forward momentum,and is still moving forward. However, several recent events have shown that there are otherviews in the civil engineering industry which also want to be heard. There has been less thanpositive reaction by some members of state boards of registration to the 2006 NCEES decision.A consequence has been the decision by NCEES in the August 2008 annual meeting to delay theformal adoption date of the BSCE+30 criteria to be 20204. Furthermore, an initiative for furtherstudy was enacted by NCEES to