alwaysincluded in I4.0 technology equipment. With this attribute information from equipmentsensors is efficiency transferred to an edge computer and equipment operationinstructions are effectively returned to the equipment final control elements.The complete Learning Integrated Manufacturing System (LIMS), Figure 2, with over 50Input/Output Interfaces, is an example and open access to its complete rules engine, aswell as analytics and statistics engines for turn-key subsystem and system applicationsmakes this industry focused interface an excellent tool for “hands-on” InformedEngineering Design learning approach in ET 2-year degree programs. Figure 2: The Learning Integrated Manufacturing System (not connected).Integrated Manufacturing System
, facilitating interaction with themicrocontroller and their projects using phones or laptops. By connecting the microcontroller tosensors and actuators, students were offered a wide range of design possibilities. The paperprovides sufficient detail for educators to adopt a similar approach in their courses, promotinginterdisciplinary learning and hands-on experience with IoT technologies.IntroductionWestern Carolina University has programs in Engineering and Engineering Technology in thesame school. The programs include; ● Electrical and Computer Engineering Technology ● Electrical Engineering ● Engineering with concentrations in Mechanical, Manufacturing, and Electrical Power ● Engineering Technology
with an Initiative to Adopt Computer Algebra System Calculators in an Engineering Technology Degree ProgramAny ETAC of ABET accredited engineering technology program must have a documentedprocess for continuous improvement, must show that this process is used, and must show resultsfrom that process. At the baccalaureate level, ETAC of ABET accreditation criteria require thatthe curriculum include the use of differential and integral calculus. This paper presents aninitiative in the author’s department to improve student performance in the use of differential andintegral calculus. This effort also demonstrated the department’s continuous improvementprocess in action.Students are expected to learn differentiation and
majors in MechanicalEngineering Technology (MET), Electronics and Computer Engineering Technology (ECET),and Computer Science (CS) since June 2020, the team successfully developed theThe team including faculty advisors representing three academic units on campus and threeundergraduate students with the afore-mentioned three majors are currently working onimproving the system to equip the probe with a self-sustained power source and networkcapability suitable for extended field deployment. A web browser-based GUI is also beingdeveloped, allowing remote access to the system with appropriate authorization. Byincorporating machine learning (ML) into the image processing algorithms, the ultimate goal isto be able to identify the species of the PN
analyticalsolutions, where students are required to use critical thinking to solve problems using basicprinciples such as conservation of mass and momentum and energy equations. Over the past fewdecades, engineering software has become an essential tool for solutions of complex systems.Software such as Computer Aided Design (CAD), Computational Fluid Dynamics (CFD), andFinite Element Analysis (FEA) are essential tools to design and develop engineering solutions.The Accreditation Board of Engineering and Technology (ABET) requires students todemonstrate competencies in solving complex problems as well as the ability to acquire andapply new knowledge using appropriate learning strategies. These ABET learning outcomes canbe achieved by integrating simulation
Paper ID #40983Experiential Learning for the Mechatronics Workforce in Upper Peninsula ofMichiganProf. Aleksandr Sergeyev, Michigan Technological University ALEKSANDR SERGEYEV is a Professor of the Mechatronics, Electrical, and Robotics Engineering Technology program in the Department of Applied Computing at Michigan Tech. He is a Director of the FANUC Authorized Certified Robotic Training Center and a Director of the Master of Science in Mechatronics degree program at Michigan Tech. Dr. Sergeyev is a member of SPIE, ATMAE, IEEE, and ASEE professional organizations and has mentored numerous undergraduate senior design
Paper ID #37509Effects of the COVID Pandemic on Industrial Warehouse Personnel Trainingand EducationK. D. Pomeroy, Texas State University K. D. Pomeroy is a graduate research assistant for the department of Organization, Workforce, and Lead- ership Studies at Texas State University.Dr. Shaoping Qiu, The Institute of Technology-Infused Learning (TITIL), Texas A&M University Shaoping Qiu, Ph.D., is a Research Scientist in the Institute of Technology-Infused Learning (TITIL), the School of Education at Texas A&M University. His research interests include organizational leadership, organizational change
Paper ID #37641Beyond the Classroom: Experiential Learning with Engineers WithoutBorders in GuatemalaDr. Dalya Ismael, Old Dominion UniversityDr. Orlando M. Ayala, Old Dominion University Dr. Ayala received his BS in Mechanical Engineering with honors (Cum Laude) from Universidad de Oriente (Venezuela) in 1995, MS in 2001, and Ph.D. in 2005, both from the University of Delaware (USA). Dr. Ayala is currently serving as Associate Professor in the Engineering Technology Department at Old Dominion University. Prior to joining ODU in 2013, Dr. Ayala spent 3 years as a Postdoc at the University of Delaware where he expanded
Robot Arm." In 2020 21st International Conference on Research and Education in Mechatronics (REM), pp. 1-5. IEEE, 2020.[19] K. T. Erickson, ”Programmable logic controllers,” in IEEE Potentials, vol. 15, no. 1, pp. 14-17, Feb.-March 1996, doi: 10.1109/45.481370.Jeevan DevagiriMr. Devagiri is a Research assistant at Michigan tech pursuing his masters in Mechatronics andRobotics from the department of applied computing. He is an experienced leader in AdvancedEngineering Research with over 3 years of research and industry experience in Robotics, DeepLearning and Reinforcement Learning, Computer Vision, Analysis and Design of FeedbackControl Systems with a Patent (Filed/Granted) in Robotics (Drone Computing), 1 Peer-reviewedpublication
Paper ID #41193Automating an Industrial Dishwashing System Using Hardware-in-the-LoopPLC Simulation with Factory I/OPaniz Khanmohammadi Hazaveh, Michigan Technological University Dr. Hazaveh received her PhD in Electrical and Computer Engineering from the Michigan Technological University in 2018 with a focus on Single Electron Transistors. She is the program director for BS in EET and Mechatronics and an associate teaching professor in the Department of applied Computing at Michigan Tech.Dr. Nathir Rawashdeh, Michigan Technological University Nathir Rawashdeh has been a faculty member in the Department of Applied Computing at
Paper ID #41206Practical Learning in Microcontroller Courses Using Novel MISL-ASE EmbeddedSystem Development BoardsDr. Gang Sun, Northern Kentucky University Dr. Gang Sun is currently an associate professor of Engineering Technology programs at Northern Kentucky University. His primary teaching areas are digital & analog electronics, embedded systems design, programming for engineering applications, industrial automation, control, and Capstone design. Research interests include designing mechatronic/electronic systems that integrate embedded systems, programmable logic controllers, machine vision, real-time operation
engineering problem of their choosing. The researchers used two methods to assess the successof the projects. The first was a pre- and post-course questionnaire that had the students self-reporton their attainment of the course outcomes. The second method was a comparative analysis of thestudent's performance before and after the application of the project. Analysis of both thequestionnaire responses as well as the comparison of the grades indicates a positive influence ofthe group project on student learning and engagement [2].The effectiveness of hands-on methodologies has been explored within the realm of engineeringtechnology programs as well. In a computer-aided design/manufacturing course, Djassemiconducted a comprehensive pre- and post-survey
the Volunteer Orientation & Leadership Training Academy of the American Society of Mechanical Engineers (ASME) and was a 2018-19 ASME ECLIPSE Member of the Board of Governors.Prof. Marjaneh Issapour, State University of New York, Farmingdale Marjaneh Issapour is the Director of Renewable Energy and Sustainability Center (RESC) at Farmingdale State College (FSC) a Campus of State University of New York . She is also a Professor of Electrical and Computer Engineering Technology at FSC. She hasZachary Ross Licht, State University of New York, Farmingdale ©American Society for Engineering Education, 2024 Utilizing Micro-Credentials to Infuse Renewable Energy Concepts into
Rockwell Automation, a famous industrial automation supplier, as a control engineer for more than 5 years. He has experience in PLC application, industrial control networking, control software development. From 2001 to 2006, Dr. Zhang was an assistant professor in the School of Electrical Engineering and Computer Science at Ohio University. Dr. Zhang’s current research interests include discrete event system, industrial automation, system identification and neural networks. ©American Society for Engineering Education, 2024 Design of a PLC System Simulator and Application to Teaching Programmable Logic Controller Course Online Wenle
Paper ID #41424Prototyping Low-Cost Tribometer with Block on Ring Configuration for theOptimization of Metal-Forming ApplicationsDr. Immanuel Edinbarough, The University of Texas, Rio Grande Valley Dr. Immanuel A. Edinbarough is a Professor and Lead in the Engineering technology program in the Department of Informatics and Engineering Systems at the College of Engineering and Computer Science, University of Texas Rio Grande Valley.Dr. Jose Jaime Taha-Tijerina, The University of Texas, Rio Grande Valley ©American Society for Engineering Education, 2024“Prototyping a Low-cost Block-On-Ring Tribometer for
: https://www.linkedin.com/in/ ©American Society for Engineering Education, 2024 Preliminary Investigation of Dimensional Accuracy of 3D Printed PLA – A Project-Based Learning Experience (WIP)1. AbstractIn the past decade, 3D printing has improved significantly and the use of 3D printed parts hasextended to more precise industrial and scientific applications including space and medicalapplications. In subtractive Computer Numerical Control (CNC) machining, such as milling andElectro Discharge Machining (EDM), some tool offsets, applied through the G-code, are usedduring machining to compensate for the tool dimensions and to ensure the dimensions of the finalmachined product match the original
Paper ID #42004Four Decades of Distance Learning Instruction in an Electrical EngineeringTechnology ProgramDr. Otilia Popescu, Old Dominion University Dr. Otilia Popescu received the Engineering Diploma and M.S. degree from the Polytechnic Institute of Bucharest, Romania, and the PhD degree from Rutgers University, all in Electrical and Computer Engineering. Her research interests are in the general areas of communication systems, control theory, signal processing and engineering education. She is currently an Associate Professor in the Department of Engineering Technology, at Old Dominion University in Norfolk, Virginia
computer code in a video, whereasthe code can be presented in plain text in the instruction area or in a still picture with detailedexplanations. Additionally, literal instructions provide a convenient way to keep hardcopy notesand are easy to link with different resources using web-based links.Fig. 2A response question is utilized to assess student performance and ensure that they havecompleted the necessary steps. It can serve as a checklist or a practice question related to whatthey have learned in the step. Some students may focus solely on the hands-on part and overlookthe explanation. However, the purpose of a laboratory is to help students understand lecturematerial. The response questions serve as effective links that connect the entire
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
use of PBLapproach; 2. expansion of the approach to other courses; and 3. where authors link additionalcompetencies from PBL approach to project management. The concept for using a PBL approachrelying on industrial projects for computer science majors was elaborated by [10]. The studyemphasis that using industry projects results in students being ready for real word capabilities vscases or projects derived from cases where exposure to all capabilities may be limited and notexpanded to all the intricacies of real life as happens in industry.Linear Programming and Project Based LearningProject based learning continues to gain significant attention in education, especially for theeffectiveness in improving deep learning, critical thinking, and
] PMI. (2023). What is Project Management? Retrieved from https://www.pmi.org/about/learn-about-pmi/what-is-project-management.[2] Noguera, I., Guerrero-Roldán, A., & Masó, R. (2018). Collaborative agile learning in online environments: Strategies for improving team regulation and project management. Computers & Education, 116, 110-129.[3] Kalimullin, A. M., Youngblood, V. T., & Khodyreva, E. A. (2016). The system of management of innovation projects at a higher education. Int. J. of Environ. and Sci. Education, 11(5), 613-622.[4] Johnson, T. (2022). Project-based learning in project management: A comparison to conceptual-based project management instruction. MS thesis. Urbana, IL
Paper ID #41173Engineering Technology Students and Faculty—Bridging PerspectivesDr. Anne M. Lucietto, Purdue University Dr. Lucietto has focused her research in engineering technology education and the understanding of engineering technology students. She teaches in an active learning style, engaging and developing practical skills in the students. Currently, she is exploring underrepresented student participation in engineering technology programs.Dyane Roesel, Purdue University ©American Society for Engineering Education, 2024 Engineering Technology Students and Faculty - Bridging
technology of virtual reality (VR) into thelaboratory work of engineering technology courses to improve the students’ learning experienceand engagement. VR technology, an immersive high-tech media, was adopted to develop aninteractive teaching module on hydraulic gripper designs in a VR construction-like environment.The module aims to expose engineering technology students to real-life applications by providinga more visceral experience than screen-based media through the generation of fully computer-simulated environments in which everything is digitized. This work presents the development andimplementation of the VR construction lab module and the corresponding gripper designs. Thevirtual gripper models are developed using Oculus Virtual Reality
Education: A Paradigm Shift in Teaching and LearningAbstractElectrical Engineering (EE) education rapidly changes with technological advancementsheralding new pedagogical tools and methodologies. Among these, the rise of ArtificialIntelligence (AI) offers transformative potential.This study aims to comprehensively explore the integration of AI tools within EE courses,emphasizing its advantages, challenges, and the critical approach needed for its effective use.Additionally, it seeks to analyze how Computer & Electrical Engineering (CEE) students use andembrace AI tools in their education, supported by a survey to gather insights on the impact ofthese tools on learning and teaching strategies.For educators, AI-driven tools
in Software Engineering Education, in DREE ’22. New York, NY, USA: Association for Computing Machinery, Oct. 2022, pp. 25–26. doi: 10.1145/3524487.3527358.[3] J. E. Johnson and N. B. Barr, “Moving Hands-On Mechanical Engineering Experiences Online: Course Redesigns and Student Perspectives,” OLJ, vol. 25, no. 1, Mar. 2021, doi: 10.24059/olj.v25i1.2465.[4] V. S. Pantelidis, “Virtual reality and engineering education,” Computer Applications in Engineering Education, vol. 5, no. 1, pp. 3–12, 1997, doi: 10.1002/(SICI)1099- 0542(1997)5:1<3::AID-CAE1>3.0.CO;2-H.[5] J. Martin-Gutierrez, “Editorial: Learning Strategies in Engineering Education Using Virtual and Augmented Reality Technologies,” EURASIA J Math Sci Tech Ed
Paper ID #42779Board 106: A Student Experiential Learning Program: An InterdisciplinaryApproach to SustainabilityDr. Vassilios Tzouanas, University of Houston Vassilios Tzouanas is a Professor and Chairman of the Computer Science and Engineering Technology department at the University of Houston -Downtown, in Houston, Texas. He received all his degrees in chemical engineering and obtained his Ph.D. from Lehigh University. Dr. Tzouanas’ research interests include process modeling, simulation and design, process control, and renewable energy systems. Dr. Tzouanas is an ABET Program Evaluator (PEV) for Engineering and Engineering
Paper ID #43066The Future of Learning: Harnessing Generative AI for Enhanced EngineeringTechnology EducationMr. Jody Lee Alberd, Austin Peay State University Mr. Jody Lee Alberd is an Assistant Professor with the Department of Engineering Technology at Austin Peay State University (APSU) from where he earned his Master of Science in Engineering Technology. Mr. Alberd’s industrial career as a Manufacturing Engineer included working with several renowned companies such as Trane Technologies and Electrolux North America. Prior to that, he served in the United States Navy during a 20-year career that included service during
student teamstowards achieving accurate problem solutions, fostering autonomous and continuous learning.Wie et al. [7] directed their attention towards the team-building dimension of PBLimplementation. Recognizing common team challenges, such as interpersonal dynamics,schedule discrepancies, labor distribution, and leadership responsibilities, they demonstrated thesubstantial benefits of incorporating a team-training website into the overall PBL experience. Successful endeavors have been made to offer engineering students multidisciplinaryteamwork-based learning experiences. McNair et al. [8] exemplified this in a cross-courseassignment requiring students to form self-managed teams comprising computer engineering,marketing, and industrial
-worldproblems by integrating the KEEN’s 3Cs: i) curiosity to identify viable sources of information,including standards and codes; ii) making connections between discussed topics and real-lifeapplications, or between discussed topics and topics learned in other courses; iii) creating valueby developing excel file to act as computer simulators for similar problems with different inputdata.Study Site: The site for yearlong EML integration study is the Mechanical EngineeringTechnology program, part of the Engineering Technology Department (ET) in the College ofEngineering (COE) at the University of Toledo. The MET program is one of the five ABET-accredited Bachelor of Science (BS) in engineering technology programs. Historically, thestudent body is
, interpretation, writing/presentation skills were also assessed.This senior level course was offered once in any given academic year. Two cohorts over twoacademic years consisting a total of 58 students were examined. As survey was conducted at theend of each semester to record the growth in student’s perspective. 72% responded to the surveyand the results are presented subsequently in this paper. This study is predominantly based on theself-assessment of the students on the learning objectives.MethodologyThe improvements to the existing course emphasized on the new data analysis techniques, thepractical approaches to problem-solving, and the usage of computer programs to study andimprove current manufacturing process. These implemented changes offer an