Rohayanti Hassan

Papers

Total Citations

H-Index

About

Rohayanti Hassan is a leading researcher in computational thinking (CT) and educational robotics (ER), dedicated to transforming how students learn problem-solving skills. Her work centers on integrating robotics into formal and informal education to make CT accessible and engaging for all ages. Hassan’s major contributions include developing an adaptive learning framework that uses educational robotics to teach CT, as detailed in her 2024 paper (6 citations), and establishing a conceptual model linking CT and ER, first published in 2021 (6 citations) and refined in 2022 (2 citations). These models provide a structured approach for educators to foster critical thinking through hands-on robotics activities. With over 14 citations across her most-cited works, Hassan’s research has practical impact, offering a roadmap for curriculum design in schools and informal learning environments. Her notable achievement is bridging the gap between abstract CT concepts and tangible robotic tasks, making her a key figure in educational technology. For students and researchers, Hassan’s work is a vital resource for understanding how robotics can cultivate essential 21st-century skills.