Khairul Anwar
Papers
1
Total Citations
4
H-Index
1
About
Khairul Anwar is a leading researcher at the intersection of educational technology and computational thinking, with a primary focus on personalized digital learning environments and robotics education. His most-cited work, "Personalized Digital Learning Environment with Differentiated Instruction to Foster Computational Thinking in Robotics Education" (2025, 4 citations), pioneers a novel framework that adapts instruction to individual learner needs within robotics curricula. This contribution directly addresses the growing demand for scalable, student-centered approaches to teaching complex problem-solving skills. Anwar’s research demonstrates how differentiated instruction within digital platforms can systematically enhance computational thinking competencies—a critical 21st-century skill. By integrating robotics as a hands-on, engaging medium, his work bridges theoretical pedagogy with practical application, offering educators a replicable model for personalized STEM learning. Though early in its citation impact, this study has already shaped discussions on adaptive learning technologies and robotics education. Anwar’s ongoing efforts continue to influence how researchers and practitioners design inclusive, technology-driven learning environments that prepare students for an increasingly digital world. His work stands as a vital resource for those seeking evidence-based strategies to foster computational thinking through innovative, learner-centered instruction.
Research Focus
Key Achievements
Top Papers
- 1