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About

Youngjun Lee is a researcher whose work spans educational technology and intelligent systems, with a primary focus on robot-aided education and autonomous vehicle safety. Lee's most influential contributions examine how robotics programming education shapes attitudes and learning outcomes among students, teachers, and parents in South Korea. His 2016 study on pre-service teachers' attitudes toward robots — drawing on established psychological scales to measure negative attitudes — has garnered 29 citations, establishing him as a notable voice in understanding the human dimensions of educational robotics. His earlier 2008 investigation into perceptions of robot-aided education across multiple stakeholders in Korean elementary and middle schools (22 citations) provided foundational empirical evidence that has informed curriculum development in the region. Lee also explored pedagogical frameworks, applying the 4CID instructional design model to robot programming learning to assess student engagement and flow states. Beyond education, his work extends into applied engineering, developing robust validation methodologies for vision-based collision avoidance systems in autonomous vehicles. Together, these contributions reflect a researcher dedicated to bridging human-centered technology education with real-world safety innovation, accumulating nearly 60 citations across his published work.