spectrum of students, from freshmen to seniors, from high school graduates to adult learners. She also has extended experience in curriculum development. Dr Husanu developed laboratory activities for Measurement and Instrumentation course as well as for quality control undergraduate and graduate courses in ET Masters program. She is coordinator and advisor for senior design projects for Engineering Technology.Dr. Yalcin Ertekin, Drexel University Yalcin Ertekin, Ph.D., CMfgE, CQE is a clinical professor in the College of Engineering, Department of Engineering Leadership and Society at Drexel University, Philadelphia, and serves as the Associate Department Head for Undergraduate Studies for the Engineering Technology
established in a nursery setting, sold for planting, andestablished in the ground, these PNs can become widely dispersed by a number of factors,including machinery, handheld planting equipment, the movement via shoes and clothing, themovement of soil, and many other mechanisms. Timely inspection and detection are critical tothe control of these PNs.PN diagnostics are difficult via visual inspection by host plant symptoms, andmolecular/laboratory diagnostics are typically time-consuming and costly. Visual inspection ofplant roots may destroy healthy plants and plant tissue. The need to develop new innovativeways and equipment to detect cyst nematodes is crucial. This paper presents an in-progressproject to develop an innovative portable minirhizotron
utilize cobots in preparing future workforce-ready graduates.Engineering Technology faculty at Illinois State University redeveloped an existing IntegratedManufacturing Laboratory (IML) to include five industrial cobots to be used concurrently withfive six-axis articulated industrial robots in an undergraduate-level, applications-focused roboticssystems integration course. This paper describes the rationale for deploying industrial cobots intoa traditional industrial robotics systems integration course. It describes the lab redevelopmentprocess, provides initial assumptions and early observations, and discusses lessons learned todate. The next steps for research and practice are also outlined.BackgroundThe IML was initially established in 2007
thetheoretical background necessary to provide a meaningful opportunity for students to performanalysis in the laboratory portion of the class. The purpose of this activity is to bring students toa common level of proficiency so that they can perform an iterative engineering designexperiment investigating the performance of a small vertical axis wind turbine, VAWT.BackgroundBeing mindful of how students acquire knowledge, Turns and Van Meter [1] discuss teachingmethods to improve problem solving, informed by cognitive science. Part of the objective of thisintroduction to engineering and technology course is to show students that engineers work tosolve concrete problems and improve solutions. For many of the students, they are embarking onthe first step
.[5] Latchoomun, L., et al. “Quantifying the Pumping Energy Loss Associated with DifferentTypes of Leak in a Piping System.” International Conference on Emerging Trends in Electrical,Electronic and Communications Engineering. Springer, Cham, 2016.[6] Parr, Andrew. “Hydraulic Pumps and Pressure Regulation.” Hydraulics and Pneumatics(2011): 31-49.[7] Love, Lonnie J., Eric Lanke, and Pete Alles. "Estimating the impact (energy, emissions andeconomics) of the US fluid power industry." Oak Ridge National Laboratory, Oak Ridge,TN (2012).[8] Choudhury, Alamgir A., and Rodriguez, Jorge. "A Modular System for Energy EfficiencyStudy of Hydraulic Applications." 2016 ASEE Annual Conference & Exposition. 2016.[9] James, A. Sullivan. “Fluid power theory
for $300 for any individual student research projectand $600 funding support for teams of two or more students. This funding option is alsoavailable for any individually initiated student capstone project. Some examples of successfulindividual student projects that were funded from these sources include developing, designingand building a plastic shredding machine and a platic molding machine. Student initiated projectsthat require funding beyond what the Vice Chancellor for Academic Affairs allots are usuallysupplemented by the students themselves.Funding for faculty-initiated projects requires yet another funding approach as these projects areusually developed for use by the ET department for future research or laboratory work. Someexamples
performed by senior year students offer a rich environment to apply conceptswhere students may apply concepts and knowledge gained throughout their college experience.This paper examines project-based learning (PBL) implementation in a capstone project course sequencein the School of Engineering Technology at Purdue University. The course structure is designed tomotivate students and engage them throughout a two-semester long project. Various sources wereidentified to select proper topics for the different teams. These sources include partners from industry,community foundations, local authorities and companies. Other sources could be research topics withprofessors in the same institute or other research laboratories. The projects are designed with
these projects will help other educators develop ROS-based simulation projects as part of a course or a stand-alone course for teaching robotics.IntroductionThe Robot Operating System (ROS) has gained wide currency for creating working robotic sys-tems, initially in the laboratory and then in industry. The primary programming environment forthose working on ROS includes C++, Python, or Java. MathWorks recently released its RoboticsSystems Toolbox and ROS Toolbox. Using MATLAB to interact with robotic simulators (suchas Gazebo) and physical ROS-compatible robots (such as TurtleBot) becomes a new option. Theexisting toolboxes in MATLAB enable the development and verification of robotic control algo-rithms more quickly. Though it is
learning [4, 5]. Unfortunately, not allfeedback is productive and many students do not view feedback without prompting. Trueproductive feedback will not only enhance student learning within a course, but will also readystudents for lifelong learning [6].In order to gauge student competencies, some form of assessment must be carried out, thefeedback from which can be crucial. These assessments can be completed at the student level,course level or instructor level and can be quantitative or qualitative. Student level assessmentsevaluate how well a single student has mastered a given topic or skill and can include things likeexams, homework assignments, projects, and laboratory assignments. For the purposes of thispaper, course level assessment will
for Engineering Students 3 CHEM 117 General Chemistry for Engineering Students Laboratory 1 ENGL 103 Introduction to Rhetoric & Composition 3 ENGR 102 Engineering Lab I - Computation 2 MATH 151 Engineering Mathematics I 4 UCC University Core Curriculum 3 Spring Total 15 ENGR 216 Engineering Lab II - Mechanics 2 MATH 152 Engineering Mathematics II
diagnosis techniques in microgrids, renewable energy systems, mechatronics, and aerospace. ©American Society for Engineering Education, 2024 Low-Cost Hardware-in-the-Loop Real-Time Simulation PlatformAbstractIn this paper, the design and development of a low-cost laboratory-scale hardware-in-the-loop(HIL) simulation platform for power systems is presented by employing a Raspberry Pi and threeArduino UNOs. HIL simulations are vital in system design and prototyping and offer a safe andefficient method to test hardware and software systems within a simulated operational context.The proposed platform leverages a Raspberry Pi to emulate the dynamic model of a three-areapower generation system, with the three
to joining ODU in 2013, Dr. Ayala spent three years as a Postdoctoral Researcher at the University of Delaware where he expanded his knowledge on simulation of multiphase flows while acquiring skills in high-performance parallel computing and scientific computation. Before that, Dr. Ayala held a faculty position at Universidad de Oriente in the Mechanical Engineering Department where he taught and developed graduate and undergraduate courses for a number of subjects such as Fluid Mechanics, Heat Transfer, Thermodynamics, Multiphase Flows, Fluid Mechanics and Hydraulic Machinery, as well as Mechanical Engineering Laboratory courses. In addition, Dr. Ayala has had the opportunity to work for a number of engineering
his knowledge on simulation of multiphase flows while acquiring skills in high-performance parallel computing and scientific computation. Before that, Dr. Ayala held a faculty position at Universidad de Oriente where he taught and developed courses for a number of subjects such as Fluid Mechanics, Heat Transfer, Thermodynamics, Multiphase Flows, Hydraulic Machinery, as well as different Laboratory courses. Additionally, Dr. Ayala has had the opportunity to work for a number of engineering consulting companies, which have given him an important perspective and exposure to the industry. He has been directly involved in at least 20 different engineering projects related to a wide range of industries. Dr. Ayala has
as the Mechatronics concentration coordinator in the Engineering Tech- nology department. Additionally, he is currently completing the final year of an EdD in Educational Leadership. Other research interests include Industry 4.0, regional workforce development, and gender disparities in the engineering fields.Alyssa Young, Austin Peay State University ©American Society for Engineering Education, 2023 From Grant to Graduates: The Development of a Regionally Unique Siemens Level 3 Mechatronics Engineering Technology ProgramAbstractAs the result of a Department of Defense (DoD) grant in 2017, training and laboratory equipmentwere procured, and a
-doctoral fellowship at Lawrence National Laboratory focusing on com- putational analysis for nonlinear seismic analysis of Department of Energy nuclear facilities and systems. After joining SFSU in 2016, she established an active research lab at SFSU with a diverse group of under- graduate and Master’s level students. For her engineering education research, she is interested in exploring how to use technology such as virtual reality and 3D printing to enhance student engagement. She is an active member of ASCE, ASEE, and SEAONC.Shah Rukh Humayoun, San Francisco State UniversityKhanh NguyenYongjian Pan ©American Society for Engineering Education, 2023 Reinforcing Human-Technology Interaction Theory
good example of this occurred at the University of Tennessee in the late 1990s [3]. At theUniversity of Tennessee [3] the two first-year courses were redesigned in response torecommendations of an industrial advisory board and ABET. The result was a FYE programwhich was deemed the “Engage Program”. The first semester course was a non-calculus-basedapproach that focused on computer programming, graphic skills, and problem solving. Thesecond semester course focused more on calculus-based content with emphasis on statics anddynamics. Basic concepts would be presented in a one-hour lecture and the concepts werereinforced during low-tech, hands-on laboratory exercises. Additionally, students would meetwith graduate teaching assistants in a
] Parasiliti, Francesco, and Paolo Bertoldi, eds. Energy efficiency in motor driven systems.Springer Science & Business Media, 2012.[4] Vogelesang, Hans. “Energy consumption in pumps–friction losses.” World Pumps 2008.499(2008): 20-24.[5] Latchoomun, L., et al. “Quantifying the Pumping Energy Loss Associated with Different Typesof Leak in a Piping System.” International Conference on Emerging Trends in Electrical,Electronic and Communications Engineering. Springer, Cham, 2016.[6] Parr, Andrew. “Hydraulic Pumps and Pressure Regulation.” Hydraulics and Pneumatics(2011): 31-49.[7] Love, Lonnie J., Eric Lanke, and Pete Alles. "Estimating the impact (energy, emissions andeconomics) of the US fluid power industry." Oak Ridge National Laboratory, Oak
Industrial Distribution at Texas A&M University. He currently serves as Associate Dean for Inclusion and Faculty Success in the College of Engineering. He is a member of the Engineering Education Faculty at Texas A&M. Prior to joining the faculty at Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minnesota. He received his B.S. in mechanical engineering from Michigan State University and his S.M. and Ph.D. from the Massachusetts Institute of Technology. Dr. Johnson’s research focuses on engineering education; design tools; specifically, the cost modeling and analysis of product development and manufacturing systems; and computer-aided design
traditional structure of lectures and hands-on laboratory sessions. Mostof the program courses are taught in person during the days, in the evenings on the main campus,or in the evenings at the Fort Campbell Center. A number of studies [8], [9], [10] reported that atleast a direct assessment tool is needed to ensure developmental and learning benefits of thestudents in ET demonstrating the workplace competencies. In line with the assessment objective,the University’s administration and faculty practice various assessment tools to ensure that theconstituents they serve are meeting their personal and professional goals upon graduation.Assessment [11] is the systematic collection and analysis of data to advance student learning.Program assessment [12
services.3. Methods3.1 Participants and Study Design The study participants included seven students enrolled in an upper level undergraduatecourse (MFET 37400 Manufacturing Integration I) offered at a satellite campus of a largeresearch-focused university. This campus primarily consists of students in the MidwesternUnited States that intend to remain in the region and join the manufacturing sector of theworkforce upon graduation. Seven students participated in the assignment, consisting of fivemales and two females ranging in age from 18-22. The nature-inspired podcast creation curriculum was implemented over a 16-weeksemester as six modules that occurred concurrently with the regularly scheduled weekly topiclectures and laboratory
fourteenstudents enrolled in an upper-level undergraduate course (Introduction to Industrial Controls)offered to both Electrical (as ECET 30201) and Mechanical Engineering Technology (as MET28400) students at a large research-focused university in the Midwestern United States. In the 14respondents to the project reflection, eight accessed the course from within the United States andeight were located internationally. The nature-inspired podcast creation curriculum was implemented over an 8-weeksemester in the form of six steps that occurred concurrently with the regularly scheduled weeklytopic lectures and laboratory activities for the course. In general, the project flow guided studentsthrough researching their topic from multiple perspectives
inboth directions. Multiple speeds can be set up using the variable frequency drive (VFD)placed on the control panel [13]. Table 1 lists the conveyor’s and its parts’ specs in detail. Figure 2. human operator controlling the inspection cell Table 1. Detailed Specifications of the ConveyorPart Presence SensorsMost automation systems have sensors that detect items and provide feedback to thesystem’s controller. A through-beam photoelectric sensor [14] has been mounted on theconveyor. It is made up of an emitter (which emits infrared light) and a receiver. When thetransmitted beam is impeded and thus not collected at the receiver’s end, the sensoridentifies an object. In one of the laboratory
mouths of students: Two illustrations of narrative analysis to understand engineering education’s ruling relations as gendered and raced.,” presented at the ASEE Annual Conference, Indianapolis, IN, 2014.[44] D. T. Conley, Redefining college readiness. Eugene, OR: Educational Policy Improvement Center, 2011.[45] J. A. Edmunds, N. Arshavsky, K. Lewis, B. Thrift, D. Unlu, and J. Furey, “Preparing students for college: Lessons learned from the early college,” NASSP Bull., vol. 10, no. 2, pp. 117–141, 2017.[46] M. Hodara and K. Lewis, “How well does high school grade point average predict college performance by student urbancity and timing of college entry?,” Regional Educational Laboratory Northwest (ED); National Center
business process improvement (solving business challenges with technology solutions). His research focus are in cyber executive management, expert crowdsourcing, and decision analytics. Brian is also the Deputy Vice President for Digital Engineering Programs at Parsons Corporation.Dr. Mihai Boicu, George Mason University Mihai Boicu, Ph.D., is Assistant Professor of Information Technology at George Mason University, Associate Director of the Learning Agents Center (http://lac.gmu.edu), Co-Director of IT Entrepreneurship Laboratory (http://lite.gmu.edu) and Co-Director of ©American Society for Engineering Education, 2024 Considering Professional Diversity as a Factor in a