Portland, Oregon
June 23, 2024
June 23, 2024
June 26, 2024
Manufacturing Division (MFG)
Diversity
16
10.18260/1-2--47671
https://peer.asee.org/47671
58
Dr. Sheng-Jen ("Tony") Hsieh is a Professor in the Department of Engineering Technology and Industrial Distribution and a member of the Graduate Faculty at Texas A&M University, College Station, TX. His research interests include automation, robotics, cyber-manufacturing and Industry 4.0; optical/infrared imaging and instrumentation; micro/nano manufacturing; and design of technology for engineering education. He is also the Director of the Rockwell Automation Laboratory at Texas A&M University, a state-of-the-art facility for education and research in the areas of automation, robotics, and Industry 4.0 systems. He was named Honorary International Chair Professor for National Taipei University of Technology in Taipei, Taiwan, for 2015-23. Dr. Hsieh received his Ph.D. in Industrial Engineering from Texas Tech University, Lubbock, TX.
Automated systems are an integrated part of our daily lives from coffee makers to microwaves and dishwashers. Designing, building, and maintaining an automated system is a complex task requiring knowledge of hardware, software, and how to interface components such as sensory devices and controllers. Students often lack a system level perspective of automated systems and how each component contributes to a system. Mastery of these concepts and skills is made even more challenging by limited availability of equipment, limited lab time, and lack of system-level lesson plans.
To alleviate these challenges and to make learning system integration concepts accessible, efficient, and interesting, interactive modules on sensors, PLCs, and robot controller interfacing and case studies of simple assembly lines and industry press machine were designed and evaluated.
Groups of learners ranging from 34 to 65 individuals reviewed the modules. They completed pre- and post-tests to assess instructional effectiveness, a survey to provide feedback about the design and usefulness of the modules, and a self-assessment of their knowledge of I/O, PLC and Robot interfacing concepts. Results suggest that the modules and case studies have a positive impact on student learning. In addition, the self-efficacy survey results suggest that the experience of using the modules—together with lectures and labs—has a strong positive impact on learners’ self-efficacy related to PLC programming, sensory devices, and robot interfacing knowledge.
Hsieh, S. (2024, June), Interactive and Web-based Animation Modules and Case Studies for Automated System Design Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47671
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