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Comparative Experiential Learning of Mechanical Engineering Concepts through the Usage of Robot as a Kinesthetic Learning Tool

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2019 ASEE Annual Conference & Exposition


Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

October 19, 2019

Conference Session

Mechanical Engineering Division Technical Session 6

Tagged Division

Mechanical Engineering

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Paper Authors


S. M. Mizanoor Rahman University of West Florida

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Mizanoor Rahman received Ph.D. and M.Sc. degrees in Systems Engineering and Mechanical Engineering respectively from Mie University at Tsu, Japan. He then worked as a research fellow at the National University of Singapore (NUS) and Nanyang Technological University (NTU), Singapore, a researcher at Vrije University of Brussels (VUB), Belgium, and a postdoctoral associate at Clemson University, SC, USA, and New York University (NYU), NY, USA. During his period at NYU, Dr. Rahman served as the lead robotics instructor for the Center for K-12 STEM education, and leaded the implementation of a large NSF-funded project entitled ``DR K-12: Teaching STEM with Robotics: Design, Development, and Testing of a Research-based Professional Development Program for Teachers". During that time, Dr. Rahman received license from the New York City Department of Education to conduct robot-based K-12 STEM education research in different public schools across New York City, trained about 100 public school math and science teachers for robot-based K-12 STEM education, and reached more than 1000 K-12 students across New York City. He then worked as an assistant professor of mechanical engineering at Tuskegee University, AL, USA. He is currently working as an assistant professor at the Department of Intelligent Systems and Robotics, Hal Marcus College of Science and Engineering, University of West Florida (UWF), Pensacola, FL, USA. At UWF, Dr. Rahman contributes to the Ph.D. program in Intelligent Systems and Robotics, and directs the Human-friendly and Interactive Robotics Laboratory (HIR Lab). His research and teaching interests include robotics, mechatronics, control systems, electro-mechanical design, human factors/ergonomics, engineering psychology, virtual reality, artificial intelligence, machine learning, CPS, IoT, computer vision, biomimetics and biomechanics with applications to industrial manipulation and manufacturing, healthcare and rehabilitation, social services, unmanned autonomous vehicle (aerial and ground) systems for indoor (e.g., home, factory floors, offices, business and social venues) and outdoor (e.g., fields, public places, space) services, and STEM education.

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Two independent studies of teaching mechanical engineering fundamentals are designed. In one study, a few selected mechanical engineering students are taught a few selected mechanical engineering concepts through the usage of illustrations created with a robot. The selected mechanical engineering concepts are believed to be abstract in nature and hard to comprehend. This study provides experiential kinesthetic learning opportunities to the students. In another study, the same concepts are taught to another group of students of similar grade and major by the same instructor. However, the instructor does not use any robot as a pedagogical tool to teach the students. Instead, the instructor uses the regular (ordinary) classroom facilities and traditional instruction approach. The outcomes of the two studies are assessed using appropriately developed rubrics, and are compared. The results show the efficacy of the robot-based teaching over the traditional (ordinary) teaching. The results can guide the educators and education decision makers to adopt appropriate technologies especially robotics as pedagogical tools to enhance the teaching and learning outcomes and effectiveness. The limitations and future directions of the research are also discussed.

Rahman, S. M. M. (2019, June), Comparative Experiential Learning of Mechanical Engineering Concepts through the Usage of Robot as a Kinesthetic Learning Tool Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32524

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