Abdullah Muhamed Yusoff
Papers
1
Total Citations
5
H-Index
1
About
Abdullah Muhamed Yusoff’s research centers on educational technology, particularly the integration of robotics in tertiary education. His most-cited work, “Delphi Method: The Development of Robotic Learning Survey in Tertiary Education” (2019), makes a foundational contribution by refining survey instruments for assessing robotic-based learning. By applying the Delphi method—a structured, consensus-building technique that avoids face-to-face interaction—Yusoff enables researchers to systematically gather expert input, enhancing the validity of educational assessments. This methodological innovation has garnered 5 citations, reflecting its utility in shaping how educators and researchers evaluate robotic learning environments. Yusoff’s work addresses a critical gap in measuring the impact of emerging technologies on student engagement and skill development. His focus on rigorous, consensus-driven survey design underscores a commitment to evidence-based pedagogy, offering practical tools for institutions navigating the shift toward automated and interactive learning platforms. For students and researchers exploring the intersection of robotics and education, Yusoff’s contributions provide a reliable framework for inquiry, demonstrating how careful instrument development can yield actionable insights into the effectiveness of tech-enhanced curricula.
Research Focus
Key Achievements
Top Papers
- 1