Muhammad Shafiq Shahrul Amar

Papers

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About

Muhammad Shafiq Shahrul Amar is a dedicated researcher in computing education, with a primary focus on the challenges and innovations in teaching structured programming to novice learners. His most cited work, "Difficulties in Learning Structured Programming: A Case Study in UTP" (2017, 7 citations), identifies key barriers faced by students with no prior coding experience, laying the groundwork for his broader initiative to integrate robotic approaches into programming pedagogy. By diagnosing these learning difficulties, Amar’s research directly informs the design of more engaging, hands-on instructional methods that leverage robotics to demystify abstract programming concepts. His contributions are particularly impactful for educators seeking to reduce student anxiety and improve retention in introductory computer science courses. Though early in his career, Amar’s work signals a practical, student-centered shift in STEM education—moving from traditional lecture-based teaching to interactive, problem-driven learning environments. His findings offer actionable insights for curriculum developers and highlight the potential of tangible tools to bridge the gap between theory and practice for aspiring programmers.