Muchlas Samani
Papers
1
Total Citations
6
H-Index
1
About
Muchlas Samani is a dedicated researcher in educational technology and engineering education, with a focus on integrating robotics into learning environments. His work explores how robotic systems, such as the robotic arm on a robot transporter, can serve as effective learning media for students. In his highly cited 2020 study, "Evaluating and Analyzing of Robotic Arm as Learning Media Based on Partial Least Square Method," Samani demonstrates how these robots help learners grasp complex concepts of arm mechanics and grip control. Using the Partial Least Square method, he provides a rigorous evaluation of the robotic arm's effectiveness, offering valuable insights for educators and curriculum designers. Although his citation count is still growing, his contributions are significant for advancing hands-on, technology-driven pedagogy. Samani’s research bridges the gap between theoretical engineering principles and practical application, making him a key figure in the development of interactive learning tools. His work inspires students and researchers to explore the potential of robotics in education, highlighting the importance of experiential learning in STEM fields.
Research Focus
Key Achievements
Top Papers
- 1