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About

Munoto Munoto is a dedicated researcher in educational technology and robotics pedagogy, with a focused interest in developing innovative learning media for engineering and vocational education. His work centers on the design, implementation, and evaluation of robotic systems—particularly the "Robot Transporter" equipped with a robotic arm—as tools for enhancing student understanding of electromechanical concepts and basic programming. A key contribution is his application of the Partial Least Square (PLS) method to rigorously analyze the effectiveness of robotic arm learning media, demonstrating a commitment to evidence-based educational design. His research also integrates Contextual Teaching and Learning (CTL) approaches to improve problem-solving skills in robotics programming courses. While his most-cited paper, "Evaluating and Analyzing of Robotic Arm as Learning Media Based on Partial Least Square Method" (2020), has garnered 6 citations, his body of work reflects a sustained effort to bridge theoretical knowledge with hands-on practice. Munoto’s studies, including his development of the Robot Transporter learning kit and assessments of student learning outcomes, contribute valuable insights for educators seeking to modernize technical curricula and foster deeper engagement in robotics and mechatronics education.