Conference Session

Virtual and Augmented Reality Applications in Manufacturing Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tyler Hartleb, University of Calgary; Haedong Kim, The Pennsylvania State University; Richard Zhao, University of Calgary; Faisal Aqlan, University of Louisville; Hui Yang

Tagged Divisions

Manufacturing Division (MFG)

quite surprised it worked so well’: Student and facilitator perspectives of synchronous online Problem Based Learning,” Innovations in Education and Teaching International, vol. 58, no. 3, pp. 316–327, 2020, doi: 10.1080/14703297.2020.1752281.[12] M. Bricken, “Virtual reality learning environments: potentials and challenges,” ACM SIGGRAPH Computer Graphics, vol. 25, no. 3, pp. 178–184, Jul. 1991, doi: 10.1145/126640.126657.[13] J. J. Cummings and J. N. Bailenson, “How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence,” Media Psychology, vol. 19, no. 2, pp. 272–309, Apr. 2015, doi: 10.1080/15213269.2015.1015740.[14] M. Slater and S. Wilbur, “A Framework for

Conference Session

Manufacturing Workforce Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hayder Zghair, Southern Arkansas University; Rungun Nathan, Pennsylvania State University, Berks Campus

Tagged Divisions

Manufacturing Division (MFG)

haptics and virtual reality. His research interests are in the areas of brain traumatic injury, unmanned vehicles, particularly flapping flight and Frisbees, mechatronics, robotics, MEMS, virtual reality, and haptics, as well as teaching with tech-nology. He has ongoing research in brain traumatic injury, flapping flight, frisbee flight dynamics, lift in porous material, and wound therapy. He is an active member of APS (DFD), ASEE, ASME, and AGMA, and is a reviewer for several ASME, IEEE, ASEE, and FIE conferences and journals. He is co-editor for ASEE publication Computers in Education. Nathan has been a very active member of both the Mechanics and Mechanical Engineering Divisions of ASEE since 2006. He started as a member

Conference Session

Virtual and Augmented Reality Application in Manufacturing Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Richard Chiou, Drexel University; Isher Singh; Arjuna Karthikeyan Senthilvel Kavitha, Drexel University; Tzu-liang Bill Tseng, University of Texas at El Paso; Md Fashiar Rahman, University of Texas at El Paso; Nijanthan Vasudevan, Drexel University

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Diversity

Tagged Divisions

Manufacturing Division (MFG)

, Manufacturing and Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems.Nijanthan Vasudevan, Drexel University ©American Society for

Conference Session

Project-Based and Experiential Learning in Manufacturing

Collection

2024 ASEE Annual Conference & Exposition

Authors

Javaid S Siddiqi; Alan S Gandy; Sheng-Jen Hsieh, Texas A&M University

Tagged Divisions

Manufacturing Division (MFG)

Engineering Education, 2024 Technical Training for Industry 4.0 Technologies: Low-Cost Gantry Candy Sorting System for Education and OutreachAbstractTechnology is changing at a much faster rate than ever. We call this the fourth industrialrevolution (Industry 4.0). In the authors’ community college and workforce developmentprograms, instructors focus on hands-on learning for high-level courses, including computervision (CV) and capstone courses. Often the learning experience is hindered by lack of resources.To introduce Industry 4.0 concepts to students, a low-cost automated system for sorting candythat uses a portable gantry robotic system with computer vision was developed.Existing work on candy sorting machines can be

Conference Session

Project-Based and Experiential Learning in Manufacturing

Collection

2024 ASEE Annual Conference & Exposition

Authors

Akbar M. Eslami, Elizabeth City State University; Kuldeep S Rawat, Elizabeth City State University; Chandra Bhushan Asthana P.E., Elizabeth City State University; Scott Bradshaw, Elizabeth City State University

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Diversity

Tagged Divisions

Manufacturing Division (MFG)

currently the Thorpe Endowed Professor and Dean for the School of Science, Aviation, Health, and Technology at Elizabeth City State University (ECSU). He has earned an M.S. in Computer Science, 2001, an M.S. in Computer Engineering, 2003; and, a Ph.D. in Computer Engineering, 2005, from the Center for Advanced Computer Studies (CACS) at the University of Louisiana-Lafayette. He serves as the Principal Investigator for NASA MUREP High Volume Manufacturing program at ECSU. His areas of interest include embedded systems design, broadening participation, machine learning, remote computing applications, UAS applications research, mobile robotics, and innovative uses of educational technologies and simulation techniques. Dr

Conference Session

Project-Based and Experiential Learning in Manufacturing

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tagged Divisions

Manufacturing Division (MFG)

Paper ID #37827Exploring Systems Performance Using Modeling and Simulation –Project-based Study and TeachingDr. Md Fashiar Rahman, The University of Texas at El Paso Dr. Md Fashiar Rahman is an Assistant Professor of the Industrial, Manufacturing and Systems Engineer- ing (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and Computer Simulation for industrial and healthcare applica- tions. In addition, Dr. Rahman has taught various

Conference Session

Project-Based and Experiential Learning in Manufacturing

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yalcin Ertekin, Drexel University; Richard Y Chiou, Drexel University; Tzu-liang Bill Tseng, University of Texas at El Paso

Tagged Divisions

Manufacturing Division (MFG)

Paper ID #42933Interdisciplinary Senior Design Project to Develop a Teaching Tool: CobotIntegrated Robotic Cell Learning ModuleDr. 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 program. He received his BS degree from Istanbul Technical University in Turkey, an MSc in Production Management from the University of Istanbul, an MS in Engineering Management, and an MS

Conference Session

Project-Based and Experiential Learning in Manufacturing

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yalcin Ertekin, Drexel University

Tagged Topics

Diversity

Tagged Divisions

Manufacturing Division (MFG)

Paper ID #38823Integrating Entrepreneurially Minded and Project-Based Learning into aManufacturing Supply Chain CourseDr. Yalcin Ertekin, Drexel University Yalcin Ertekin, Ph.D., CMfgE, CQE Yalcin Ertekin 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 program. He re- ceived his BS degree from Istanbul Technical University in Turkey, an MSc in Production Management from the University of Istanbul, an MS in Engineering Management, and

Conference Session

Redefining Manufacturing Education Practices

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ismail Fidan, Tennessee Technological University

Tagged Divisions

Manufacturing Division (MFG)

Manufacturing CourseAbstractHands-on learning is the core of Engineering Technology programs, and a high number of thecourses is taught with the laboratory sections. This paper presents the service learning basedenhancements made in one of the Engineering Technology courses. Course students learnmanufacturing the complex machined workpieces using the G-code simulators. Teaching theapplied milling and turning practices is the main deliverable of the course with a required termproject which is focused to service learning concept. Student teams formed in the middle of thesemester design, simulate, and machine a functional service learning product using thedepartmental computers, simulators, and CNC machines for their project. The feedback providedby the

Conference Session

Redefining Manufacturing Education Practices

Collection

2023 ASEE Annual Conference & Exposition

Authors

Aditya Akundi, The University of Texas Rio Grande Valley; Immanuel Edinbarough P.E., The University of Texas Rio Grande Valley; Md Fashiar Rahman, The University of Texas at El Paso; Amit J. Lopes; Sergio Luna

Tagged Divisions

Manufacturing Division (MFG)

Paper ID #36783Exploring Student Learning Experience of Systems Engineering CourseDeveloped for Manufacturing and Industrial Engineering GraduatesDr. Aditya Akundi, The University of Texas Rio Grande Valley Aditya Akundi is currently affiliated to the Manufacturing and Industrial Engineering Department, at the University of Texas Rio Grande Valley. He earned a Bachelor of Technology in Electronics and Com- munication Engineering from Jawaharlal Nehru Technological University, India. He earned a Master of Science in Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). and a Ph.D. in Electrical and

Conference Session

Virtual and Augmented Reality Applications in Manufacturing Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Richard Y Chiou, Drexel University; Tzu-Liang Bill Tseng, University of Texas at El Paso

Tagged Divisions

Manufacturing Division (MFG)

publications). He is currently serving as an editor of Journal of Computer Standards & Interfaces (CSI) and editor boards of International Journal of Data Mining, Modeling and Management (JDMMM) and American Journal of Industrial and Business Management (AJIBM). He is currently a Senior Member of Institute of Industrial Engineers, Society of Manufacturing Engineers and the Division Chair of Manufac- turing Division of American Society of Engineering Education (ASEE). He is also actively involved in several consortia activities. ©American Society for Engineering Education, 2023 Implementing Virtual Reality Project Activities for Enhancing Student Learning Experience

Conference Session

Manufacturing Division (MFG) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Eunseob Kim, Purdue University; Lucas Wiese, Purdue University at West Lafayette (COE); Hector Will, Oakland City University; Alejandra J. Magana, Purdue University at West Lafayette (COE); Martin Jun, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Manufacturing Division (MFG)

manufacturing.Lucas Wiese, Purdue University at West Lafayette (COE) I am a PhD student at Purdue University in the Computer & Information Technology department with a focus in AI education efforts and responsible AI development. I work in the Research On Computing in Engineering and Technology Education lab under Prof. Alejandra J. Magana.Dr. Hector Will, Oakland City University I am an assistant professor in Creative Technologies and Mathematics. My research interests are at the intersection of Science, Engineering, Technology, and Learning. I have experience developing learning materials for emerging topics such as Machine Learning and Quantum Computing using novel technolo- gies.Dr. Alejandra J. Magana, Purdue University

Conference Session

Virtual and Augmented Reality Application in Manufacturing Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Richard Chiou, Drexel University; Tzu-liang Bill Tseng, University of Texas at El Paso; Md Fashiar Rahman, The University of Texas at El Paso

Tagged Topics

Diversity

Tagged Divisions

Manufacturing Division (MFG)

Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems. ©American Society for Engineering Education, 2024 Virtual Reality

Conference Session

Virtual and Augmented Reality Applications in Manufacturing Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sajan Saini, Massachusetts Institute of Technology; Erik Verlage; Anuradha Murthy Agarwal; Drew Michael Weninger; Samuel Serna Otalvaro; Saif Rayyan; Glenda Simonton Stump, Massachusetts Institute of Technology; Trevor Morrisey, Massachusetts Institute of Technology; Christian Gabbianelli, Massachusetts Institute of Technology; Ira Fay, Massachusetts Institute of Technology; Caitlin Feeley, Massachusetts Institute of Technology; Jeff Bertrand; Bhargav Vipul Upadhyay; Achint Jain; Richard Eberhardt, Massachusetts Institute of Technology; Alan R. Kost, University of Arizona; John Ballato, Clemson University; Kapil Chalil Madathil, Clemson University; Sri Priya Sundararajan; Kenan Cicek; Dominic Gastaldo; Judith Perry, Massachusetts Institute of Technology; Eric Klopfer; Randolph E. Kirchain Jr., Massachusetts Institute of Technology; Richard Roth, Massachusetts Institute of Technology; Frank R. Field III, Massachusetts Institute of Technology; Elizabeth Moore, Massachusetts Institute of Technology; George Westerman, Massachusetts Institute of Technology; Lionel C. Kimerling, Massachusetts Institute of Technology

Tagged Divisions

Manufacturing Division (MFG)

, datacom, wireless, sensing andimaging systems for the cloud and mobile computing, automobile and aircraft, display, medical,and energy industries. This 21st century advanced manufacturing sector is in dire need of amassive increase in its photonics technician and engineer workforce, over the next decade.However, an inadequate pipeline of incoming learners to fiber optic and photonic integratedcircuit (PIC) careers at 2- and 4-year colleges is severely limiting the prospects for rapidworkforce growth (see Fig. 1)[1,2,3,4].To support this near-term workforce demand, a modular library of Virtual Reality (VR) andGame-Based Learning (GBL) digital simulations (sims) and blended (digital and hands-on)learning content have been created that may

Conference Session

Virtual and Augmented Reality Applications in Manufacturing Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Amit Shashikant Jariwala, Georgia Institute of Technology; Hasanain Karim; Caroline Doughton Greiner

Tagged Divisions

Manufacturing Division (MFG)

benefits for students' learning and development. Vlah et al. [6] did a group study on a set of students. The students were first asked todesign basic models in CAD software on desktop computers. The second part of the studyincluded these students using VR tools to create the same models using freeform tools anddimensional parametric tools. The study found that CAD tools on the desktop are better forstudents to model dimensional modeling, while freeform tools available in VR are much moreintuitive and efficient in desktop CAD tools for organic geometry. Emily et al. [7] discuss a case study in which a team of faculty members developed afaculty-led, student-centered, and interdisciplinary project-based learning approach to

Conference Session

Four Pillars of Manufacturing Knowledge

Collection

2024 ASEE Annual Conference & Exposition

Authors

John L. Irwin, Michigan Technological University; Suzy Gorospes Marzano, Sr Manager of Industry Development, SME; Ismail Fidan, Tennessee Technological University; Neil Littell, Ohio University

Tagged Topics

Diversity

Tagged Divisions

Manufacturing Division (MFG)

) • Computer Systems and Networks • CNC/PLC/FMS/Computer Control Systems • Informa�on Technology • Informa�cs and data analy�cs • Database Systems (MIS. etc.) • Mechatronics • Enterprise Wide System Integra�on • Ar�ficial Intelligence and Machine Learning • Machine VisionFigure 4: ATMAE Four Pillars Workshop – Industry 4.0 and Automated Systems andControlsFour Pillars Validation AnalysisThere were changes to eleven of the twelve knowledge blocks in the Four Pillars. Thesedifferences are categorized as deletions, topics that moved to other knowledge blocks, oradded topics. Each knowledge block

Conference Session

Manufacturing Workforce Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Akbar M. Eslami, Elizabeth City State University; Kuldeep S. Rawat, Elizabeth City State University; Chandra Bhushan Asthana P.E., Elizabeth City State University

Tagged Divisions

Manufacturing Division (MFG)

currently the Thorpe Endowed Professor and Dean for the School of Science, Aviation, Health, and Technology at Elizabeth City State University (ECSU). He has earned an M.S. in Computer Science, 2001, an M.S. in Computer Engineering, 2003; and, a Ph.D. in Computer Engineering, 2005, from the Center for Advanced Computer Studies (CACS) at University of Louisiana-Lafayette. He also serves as the Chief Research Officer for the campus. His areas of interests include embedded systems design, broadening participation, remote computing applications, UAS applications research, applied machine learning, mobile robotics, and innovative uses of educational technologies and simulation methods. Dr. Rawat may be reached at ksrawat

Conference Session

Technology Integration in Manufacturing Curriculum

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hugh Jack P. Eng., Western Carolina University; Scott C. Rowe, Western Carolina University

Tagged Divisions

Manufacturing Division (MFG)

industry demands and enhancing their careers. This approach is alsobeneficial for multidisciplinary project-based learning courses throughout the engineeringprogram. Although a formal assessment of the approach's effectiveness is yet to be conducted,anecdotal evidence suggests positive outcomes. Overall, this paper demonstrates the value ofusing free software and low-cost hardware in teaching PLC concepts, paving the way for moreaccessible and cost-effective education in this crucial area of engineering.IntroductionIndustrial control systems are heavily reliant on Programmable Logic Controllers (PLCs). Thesecontrollers are specialized computer systems with inputs and outputs designed for high voltagesand currents. Moreover, they utilize

Conference Session

Manufacturing Division (MFG) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yalcin Ertekin, Drexel University; Richard Y Chiou, Drexel University; Tzu-liang Bill Tseng, University of Texas at El Paso

Tagged Divisions

Manufacturing Division (MFG)

robots from 3 to 6 axes robots.Figure 8. Virtual reality applications for lab development (being developed with Unity/ UnrealVR Engine)Course Description: Advanced automation concepts using industrial robots. Robotic workcells,process automation, internet-of-things (IoT), computer vision, and virtual reality (VR) robotics.Applications and case studies.Course Outcomes:Upon successful completion of the course in this discipline, the student will be able to:1. Learn extensive knowledge of digital manufacturing using industrial robots and other commonmechatronic components.2. Design the sensor monitoring and tooling with basic programmable logic controller (PLC) forrobotic workcells and automation.3. Understand fundamental digital image processing

Conference Session

Manufacturing Division (MFG) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ted J. Fiock, Purdue Programs; Jonathan Mohn; John Mack; Charilaos Mousoulis; Eunseob Kim, Purdue University; Lucas Wiese, Purdue University at West Lafayette (COE); Martin Jun, Purdue University; Alejandra J. Magana, Purdue University at West Lafayette (COE); Ali Shakouri

Tagged Divisions

Manufacturing Division (MFG)

the topic of recording and managing data fromfactory workers' observations. A key requirement for some machine learning applications is thetraining data set and labeling of key events to complement automatically recorded machine data.In this workshop which was offered in late Fall 2022, AirTable was introduced as a method toreduce paperwork and help capture key events and observations. Examples from electric motormaintenance and computer numerical control (CNC) machining were provided. The third shortcourse was on the topic of industrial internet of things (IIoT) sensors. The course objective is tointroduce IIoT device installation, access the data (e.g., power consumption, vibration,temperature), and use dashboards and alarms to monitor the

Conference Session

Design Experiences in Manufacturing Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sheng-Jen Hsieh, Texas A&M University; Susan Pedersen, Texas A&M University

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Diversity

Tagged Divisions

Manufacturing Division (MFG)

System Integration Education: Current Status and Future Directions," Proceedings of the 2005 ASEE Annual Conference & Exposition, June 12-15, 2005, Portland, OR.[4] Hsieh, S. “Analysis of Verbal Data from Automated System Design Problem-Solving,” Proceedings of the 2008 ASEE Annual Conference, June 22-25, 2008, Pittsburgh, PA[5] LogixPro 500 PLC Simulator. Online resource at: http://thelearningpit.com/lp/logixpro.html[6] Integrated Virtual Learning System for Programmable Logic Controller. Online resource at: http://people.tamu.edu/~hsieh/hsieh/Hsieh_VirtualPLC.html[7] Hsieh, S. and Hsieh, P.Y. “Web-based Modules for Programmable Logic Controller Education,” Computer Applications in Engineering Education, 13(4), Dec

Conference Session

Redefining Manufacturing Education Practices

Collection

2023 ASEE Annual Conference & Exposition

Authors

Krzysztof Kamil Jarosz, Rochester Institute of Technology; Trisha Gard-Thompson, Rochester Institute of Technology (COE); Chao Peng, Rochester Institute of Technology; Rui Liu, Rochester Institute of Technology (COE)

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Diversity

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Manufacturing Division (MFG)

. The evaluated class consisted of mixed instruction, comprisedof laboratory sections focusing on the use of CAD software to design machine components andhands-on sessions teaching the use of conventional machine tools to fabricate said parts [19].Course synopsis and learning objectives are presented in Table 1.Table 1. Details concerning the course subject to student evaluation [19] Course name and code Engineering Design Tools MECE-104 Synopsis This course combines the elements of Design process, Computer Aided Design (CAD), and Machine Shop Fabrication in the context of a design/build/test project

Conference Session

Refining Manufacturing Education Practices

Collection

2024 ASEE Annual Conference & Exposition

Authors

Huachao Mao, Purdue University; Yujie Shan, Purdue University; Hamid EisaZadeh, Old Dominion University

Tagged Divisions

Manufacturing Division (MFG)

published more than 20 publications in refereed journals and conferences. His research interests mainly focused on novel Additive Manufacturing processes and machine development for direct digital manufacturing and 3D printing (functional polymer and structural composite), advanced computing for manufacturing, and functional applications (microfluidics, biomedical, and optics).Dr. Hamid EisaZadeh, Old Dominion University Dr. Eisazadeh is an Assistant Professor in the Engineering Technology Department at Old Dominion University (ODU). Before joining ODU, he served as a faculty member at the County College of Morris for one year and spent over four years as a faculty member at Chabahar Maritime University. He earned his

Conference Session

Manufacturing Workforce Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sheng-Jen Hsieh, Texas A&M University; Marilyn Barger, FLATE (Florida Advanced Technological Education Center of Excellence); Suzy Gorospes Marzano, Society of Manufacturing Engineers; Juan Song, Alamo Colleges District

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Diversity

Tagged Divisions

Manufacturing Division (MFG)

applicable (we are not using any I4.0 0 0 technologies)Summary. 71% of respondents noted that the need for workers to use computers more haschanged the nature of work at their company. 57% noted that the need for training to be moreindividualized/personalized and changed the nature of work.Relatively few respondents (21%, 3/14) noted that workers needing to think more has changedthe nature of work, but all of the respondents who made this observation believed it to be thebiggest change.What types of jobs have been (or would be) affected by implementation of these technologies?How will they be affected? (n=14) • Production workers/operators - learning digital skill sets • Labor and Technical • Employees

Conference Session

Design Experiences in Manufacturing Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mina Morcos, Vaughn College of Aeronautics and Technology; Shouling He, Vaughn College of Aeronautics and Technology; Mohamed M. Youssef, Vaughn College of Aeronautics and Technology

Tagged Divisions

Manufacturing Division (MFG)

, and increased efficiency, enabling students toaccomplish more work in less time. The use of TIA Portal software is an improvement over theprevious Siemens S7 Simatic software version 5.1, providing better performance and advancedfeatures that enable students to achieve better results.To further elaborate on the improvements made in the IMS project, the 3D simulationdemonstration has undergone significant enhancements. In contrast to the previous system thatrelied on IMS-Virtual simulation, the use of Factory IO for 3D demonstration represents a majorupgrade, resulting in a more intuitive and effective system. The new and improved simulation ismore realistic, providing students with a more engaging and authentic learning experience

Conference Session

Refining Manufacturing Education Practices

Collection

2024 ASEE Annual Conference & Exposition

Authors

Christoph Johannes Sielmann P.Eng., University of British Columbia, Vancouver; Casey James Keulen, University of British Columbia, Vancouver; Abbas Hosseini, University of British Columbia, Vancouver

Tagged Divisions

Manufacturing Division (MFG)

Online Survey Tool for Multi-Cohort Courses,” in Proceedings of the Canadian Engineering Education Association (CEEA), Toronto, Ont., Jun. 2022.[5] A. Anderson and L. Date-Huxtable, “ICT-assisted multi-campus teaching: Principles and practice to impact equity of experience for students,” ASCILITE 2011 - The Australasian Society for Computers in Learning in Tertiary Education, pp. 85–92, Jan. 2011.[6] C. Keulen, A. Rutakomozibwa, and C. Sielmann, “Addressing Gaps in Equity: A Review of Best Practices in Multi-campus Learning to Enhance Teaching, Social and Cognitive Presence,” in Proceedings of the Canadian Engineering Education Association (CEEA), in Accepted. Kelowna, BC, 2023.[7] R. Hjelsvold and A. Bahmani, “Challenges in

Conference Session

Virtual and Augmented Reality Application in Manufacturing Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Israa Azzam, Purdue University; Farid Breidi, Purdue University at West Lafayette (PPI); Faisal Aqlan, University of Louisville

Tagged Divisions

Manufacturing Division (MFG)

manufacturing education are pivoted on applied teaching, likeproject-based and competition-based learning and other applied hands-on teaching methods.Such methods have been proven effective; however, they exhibit limitations and challengesrelated to the cost of the equipment, lab space, regular maintenance, and other constraints relatedto securing a safe and friendly environment for students. In this context, we present theutilization of Mixed Reality (MR) technology as an immersive and engaging tool for teachingmanufacturing assembly processes. MR is the forthcoming evolution of the human-machineinterface in the real-virtual environment utilizing computers and wearables. The technology canbe a practical pedagogic tool for teaching students' assembly

Conference Session

Technology Integration in Manufacturing Curriculum

Collection

2023 ASEE Annual Conference & Exposition

Authors

Wayne P. Hung, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Manufacturing Division (MFG)

follow when students joiningmanufacturing workforce in industry or research institution upon graduation. With approval from External Advisory Committee and support from industry, theEngineering Technology & Industrial Distribution department at Texas A&M Universityestablished a well-equipped metrology laboratory and integrated laboratory exercises withmanufacturing curricula. Students in lower-level classes learn theory and have hands-on practicewith both contact-type measuring devices and noncontact-type measuring systems beforeattending other manufacturing laboratory sessions. The upper-level class covers theory ofGeometric Dimensioning & Tolerancing (GD&T) and introduces flipped-laboratory practice onthis topic. Upon

Conference Session

Four Pillars of Manufacturing Knowledge

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hossain Ahmed, Austin Peay State University; Mahesh Kumar Pallikonda, Austin Peay State University; Md. Ali Haider, Austin Peay State University; Ravi C Manimaran, Austin Peay State University

Tagged Divisions

Manufacturing Division (MFG)

Assistant Professor at Austin Peay State University, serving as the Electronics and Electrical Engineering Technology concentration coordinator. His research interests include Biomedical Signal Processing, Brain-computer interface, Image processing, Artificial Intelligence, Machine Learning, and the Internet of Things (IoT). Dr. Haider has authored multiple publications on signal and image processing and serves as a reviewer for several international conferences and peer-reviewed journals, including IEEE WF-IoT, IEEE EIT, IEEE Signal Processing Letters, Journal of Signal Processing Systems, and Remote Sensing of Environment.Prof. Ravi C Manimaran, Austin Peay State University Ravi C Manimaran is a Professor and Chair of

Conference Session

Technology Integration in Manufacturing Curriculum

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hugh Jack P. E., Western Carolina University; Scott Rowe, Western Carolina University

Tagged Divisions

Manufacturing Division (MFG)

and debug programs; · Write and edit reports, memos, and correspondence, and; · Suggest procedures and methods.Notably, as a text generation platform, ChatGPT can write computer code in response to studentprompts, an ability that could hurt or help nascent engineers grow as programming students.3 Toassess this potential ChatGPT was recently probed with 40 software questions from a programmingtextbook, where select queries required the authorship or modification of computer code.4ChatGPT responses were 44% correct or partially correct.4 Thus, although ChatGPT can succeed,students should approach artificial intelligence results with discretion. In its current state, theapplication likely cannot enable the 33% of engineering