Muhamad Syariffuddien Zuhrie

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About

Muhamad Syariffuddien Zuhrie is an educational technology researcher whose work sits at the intersection of robotics, artificial intelligence, and innovative pedagogy in engineering education. His research focuses primarily on developing contextual, hands-on learning tools designed to enhance students' technical competencies and problem-solving capabilities within electrical engineering and robotics curricula. Zuhrie's most notable contribution is his 2017 study on the design of an AI-based robot as a teaching medium, which garnered 7 citations and demonstrated a practical application of Contextual Teaching and Learning (CTL) principles through the development of a specialized robot module and kit. This work exemplifies his commitment to bridging theoretical concepts with real-world application in engineering classrooms. Building on this foundation, his 2020 research extended CTL methodology into basic robotics programming courses, addressing common student challenges such as algorithm design errors and programming language translation — critical skills for aspiring engineers. Though his citation profile is still emerging, Zuhrie's contributions represent meaningful efforts to modernize engineering education through learner-centered, technology-integrated instructional design. His work offers valuable frameworks for educators seeking to cultivate deeper technical understanding and applied problem-solving skills in the next generation of engineers.