Tampa, Florida
June 15, 2019
June 15, 2019
June 19, 2019
Mechanical Engineering
19
10.18260/1-2--32973
https://peer.asee.org/32973
736
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.
In this paper, two separate lessons of a mechatronics course were selected. One lesson was on actuator technologies and applications. Another lesson was on sensor technologies and applications. For the actuator lesson, the instructor designed and implemented the instruction following the traditional approach. Then, the same instructor instructed the sensor lesson to the same student population. However, for the sensor lesson, the instructor designed and implemented the instruction following the TPACK (technological-pedagogical and content knowledge) framework approach. For the TPACK approach, before instructing the lesson, the instructor determined the technological, pedagogical and content knowledge and skills required to instruct the lesson effectively. Then, the instructor increased his/her self-efficacy on those knowledge domains as best as possible, and then instructed the lesson to the learners (students) accordingly. Appropriate assessment methods and rubrics were developed to assess the teaching and learning effectiveness and outcomes of each lesson. The assessment results for the TPACK approach were then compared to that of the traditional instruction approach. Results showed that the instructions designed and implemented aligning with the TPACK framework significantly increased the instructional quality of the instructor and the overall teaching and learning outcomes and effectiveness. The results can inspire instructing STEM courses especially the mechatronics course following the TPACK framework.
Rahman, S. M. M. (2019, June), Instructing a Mechatronics Course Aligning with TPACK Framework Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32973
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