Paper ID #42902Enhancing MET Education: Innovation through Laboratory Equipment DevelopmentDr. Carmen Cioc, The University of Toledo Dr. Carmen Cioc is an accomplished Associate Professor in Mechanical Engineering Technology (MET) at The University of Toledo, passionate about teaching and innovation in pedagogical strategies. She has an extensive career in academia and research, demonstrating strong expertise in engineering education and tribology. Her career includes various leadership positions, such as ASEE Campus Rep., Director in the ASEE North Central Section Board, ASEE-ETD-MET Heads Committee member, ELATES Fellow
Paper ID #44002Structural Analysis and Laboratory Model of a U-Shape Pedestrian BridgeDr. Jorge Antonio Tito P.E., University of Houston, Downtown Jorge A. Tito is Associate Professor of Engineering Technology at University of Houston Downtown. Dr. Tito-Izquierdo received his Ph.D. and M.Sc. Degrees from the University of Puerto Rico, Mayag¨uez, Puerto Rico, in Civil Engineering with a major in Structures. ©American Society for Engineering Education, 2024 Structural Analysis and Laboratory Model of a U-Shaped Pedestrian BridgeAbstractThis paper presents student
Paper ID #41367Board 109: Moving Towards a Fully On-line Laboratory in Electric CircuitsCourseProf. Robert De La Coromoto Koeneke, Daytona State College Robert Koeneke is an Associate Professor of Electrical Engineering Technology at Daytona State College. He received his B.S. in Electronics Engineering from Universidad Simon Bolivar in 1977 and his M.S. in Computer Science from Santa Clara University inMr. Al Rahrooh, University of California, Los Angeles Al Rahrooh is a Ph.D. student in the Medical Informatics Program at UCLA interested in the novel applications of artificial intelligence and computational modeling to
meet the expectations of a technical college oruniversity. Consequently, students not only tend to face challenges in assimilating core fluid powerconcepts but are also later confronted with a lack of hands-on skills in industry. Despite the effortsto incorporate interactive tools and methods into fluid power labs, the challenge remains in trainingstudents on the control and data acquisition of fluid power systems using flexible methods thatfoster learning and critical thinking. Therefore, this paper presents a set of laboratory modulesdesigned to introduce pneumatic systems design and control to fluid power college and universitycourses following a practical and inexpensive approach. It investigates the control of a pneumaticmanipulator
building. Simultaneously,students are exposed to a college learning environment while actively participating in theseactivities. This paper will discuss the strategies employed to create these activities usingresources from existing college laboratory exercises and projects within the engineeringtechnology programs. Fifty-six students from different grades participated in the program basedon their interests. The emphasis on underrepresented minority groups aligns with xxxxUniversity’s commitment to diversity and aims to increase recruitment from schools with ahigher proportion of such students.BackgroundThe project’s goal was to enhance STEM awareness among minority communities and toincrease enrollment at the xxxxx campus of XXXXXX University. A
laboratory, the first of its kind in the Northeast andSUNY system. The laboratory space and its equipment, including mechanical drives trainers anda nacelle trainer, play a pivotal role in keeping Farmingdale State College, the local community,and other SUNY campuses, like SUNY at Buffalo, up to date of the wind energy field and itsrequirements. This includes staying current with educational and occupational perspectives withinthe industry.Introduction Micro-credentials are certified documents that provide recognized proofs of theachievement of learning outcomes from shorter, less duration, educational or training activities[1]. The interest in micro-credentials has gained momentum once the COVID-19 pandemic began,as a governmental response
to support basic theorem, but they are rarelyencountered outside the laboratory setting. It is easy to create illusions for students that hands-onpractices in college will not be relevant in future real work, potentially leading to loss of interestor decreased attention to hands-on practices. As an integral part of professional trainings, hands-on practice with any weakness in college can limit not only students’ education performance butalso their future work abilities. According to the author’s observation, there has been asignificant change in student study habits nowadays, especially after the pandemic. Whileadvanced technologies have been employed to aid students in education, they also presentchallenges. This work aims to enhance
World War II. The need for militarydevelopment and space exploration during the Cold War era fueled a marked shift in the natureof engineering degrees with a heavy engineering science component [1], [2]. As the engineeringprograms became more science-heavy, ET programs started being established to prepareprofessionals who were trained in specific domains of technology and could fill the need for“skilled crafts and the highly scientific professions” (Smith and Lipsett, 1956, as cited in [1]).As a result, one significant aspect of the ET degree is its emphasis on practical and laboratory-based instruction and relatively less focus on advanced mathematics. As a report by the NationalAcademy of Engineering notes, “the pedigree of ET is rooted in
of a series of laboratory assignments and course projects. A total of two hundredfifty boards were procured and populated. These boards have served as major lab equipment forfive courses in the Electronic Systems Engineering Technology (ESET) program at Texas A&MUniversity (ESET 349 - Microcontroller Architecture and ESET 369 - Embedded SystemsSoftware course) as well as in the Electronic & Electronic, and Mechatronics EngineeringTechnology (EEET and MET) programs at Northern Kentucky University (NKU). This paperprimarily explores students' experiential learning in two microprocessor courses at NKU: EGT367 (Microprocessor) and EGT 467 (Advanced Microprocessor). Before enrolling in theseclasses, students are required to complete the
instruction and were taking the same tests. Testingfor DL students was usually performed with proctored tests at the student site, since ODU madearrangements with local community colleges, libraries, or other institutions that can administertests and provide proctors. However, laboratory classes always raised more issues for distancelearning due to their hands-on component. The labs were often offered separately, for campusand distance learners, and not in hybrid mode. Assessment was conducted and the results werecompared for the two groups with the results showing similar results or even better results for thedistance learners than for the campus group [13]. For a digital electronics lab, to ensureconsistency across the campus and online groups, the
145 66.9% 11.0% Biomedical Sciences 326 60.1% 11.3% Data Analytics 29 72.4% 41.4% Homeland Security 314 64.0% 14.6% Cyber Forensics/Information Security 137 74.5% 13.9% Information Technology 1116 71.0% 16.8% Medical Laboratory Science 12 50.0% 0.0%More than half of those STEM students who leave before completing their degree (55.4%) identifyas underrepresented minorities. The full picture of which students began the program, graduated,or left
adopted within thepackaging industry to establish standardized control protocols for packaging machinery.Development of the PackML standard was facilitated by the Organization for MachineAutomation and Control (OMAC), garnering substantial recognition across the packaging sector.The integration of PackML has yielded notable benefits, including heightened operationalefficiency, cost reduction, and increased machine adaptability.The paper explores the conceptual foundations of PackML and the practical aspects of itsimplementation. It highlights four dedicated laboratory exercises created to empower studentswith hands-on experience in utilizing PackML with modern automation systems. These exercisesaid in acquainting students with standardized and
learning analytics in online engineeringcourses enhances student learning experiences and optimizes instructional design anddevelopment [7].Enriched laboratory preparations: Integrating AI algorithms in EE education enriches laboratorypreparations [8]. AI tools enable the creation of simulations and virtual experiments. Theyprovide students with hands-on learning experiences in a controlled and interactive environment.This approach overcomes the limitations of traditional laboratory setups, such as resourcescarcity and safety concerns. It enables students to practice and apply theoretical concepts moreeffectively. Additionally, AI-powered virtual laboratories offer greater accessibility and cost-effectiveness, allowing students to access a wide
continuous improvement initiatives with resulting improvement measures. Records of faculty discussions resulting in the analysis of SO achievement and program enhancements derived from this assessment. • Criterion 5. Curriculum: Sampling of student work that provides evidence that topical areas supporting the elements listed in Criterion 5, in the General Criteria, or Program Criteria are covered. Examples of significant student design or capstone courses. • Criterion 6. Faculty: Only information of faculty changes after self-study submission. • Criterion 7. Facilities: Any facility changes after self-study submission, laboratory safety procedures, or inspection reports. • Criterion 8. Institutional
-of-the-artindustrial equipment for ExLENT participants.The MEP will provide the foundationalknowledge in five critical areas ofmechatronics: robotics, mechanical, electricaland controls, cybersecurity, and artificialintelligence. Project participants will beimmersed in a five-week, remote, self-paced Figure 1. Regional map of partnerships.training utilizing the MEP's advancededucational materials and tools. Upon completing the MEP training, the participants willparticipate in one-week practical training at Michigan Tech laboratories (Phase II), where theknowledge obtained via the MEP will be reinforced with hands-on activities in all five criticalareas of Mechatronics.Technology
laboratories into the course included additional preparatory lectures. An online surveyquestionnaire revealed a positive impact of CFD on students, with recommendations forcontinued integration. The study also demonstrated the effectiveness of CFD integration byproviding insights into the interface design, curriculum integration, and evaluation methods.An integrated curriculum was developed by Stern [12] by applying CFD and EFD. The objectiveof the integrated CFD labs was to incorporate an educational interface, while EFD labs focusedon modern facilities, measurement systems, and uncertainty analysis. The study highlightedhands-on experience and application of fluid dynamics principles, citing the efficacy ofinteractive tools in engineering education
software used in design projects and laboratory was alsobriefly discussed. The authors used the characteristics of the learning systems, their effectivenessbased on students’ performance, student skills developed using the learning systems, and studentfeedback as their comparison criteria. Most of the methods reviewed used computer technologyand multimedia to provide interactivity and visualization. Most of these methods were found toimprove student performance and help develop their skills. Overall, student feedback andcomments were positive and encouraging.Engineering students often face difficulties comprehending the first and second laws (Meltzer [9]),particularly the concepts of heat, work, and cyclic processes. According to Meltzer, students
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
.[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 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
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