Papers
2
Total Citations
26
H-Index
2
About
Joohi Lee is a pioneering researcher at the intersection of early childhood education and emerging technologies, with a primary focus on integrating artificial intelligence and robotics into learning environments for young children. Her work investigates how humanoid AI robots and programmable playthings like KIBO can foster foundational skills in programming, computational thinking, and social-emotional development among preschoolers and kindergarteners. In her highly cited 2024 paper, "Incorporating Humanoid Artificial Intelligence (AI) Robots into Early Childhood Education" (14 citations), Lee provides a framework for ethically and effectively deploying AI companions in classrooms, addressing both pedagogical benefits and developmental considerations. Her 2023 study on children's programming skills through robot play (12 citations) offers empirical evidence that tangible, playful interactions with robots significantly enhance young learners' sequencing and problem-solving abilities. Lee’s contributions are notable for bridging the gap between advanced technology and developmentally appropriate practice, offering educators practical strategies for integrating robotics without sacrificing play-based learning. Her work is increasingly influential as early childhood programs worldwide seek to prepare children for a digitally driven future while safeguarding their cognitive and social growth.
Research Focus
Key Achievements
Top Papers
- 1
- 2Investigating Children's Programming Skills Through Play with Robots (KIBO)12 citations · 2023