Lauren Oh

Massachusetts Institute of Technology

Papers

1

Total Citations

242

H-Index

1

About

Lauren Oh is a pioneering researcher at the intersection of artificial intelligence and early childhood education, best known for developing innovative, hands-on learning tools that introduce young children to AI concepts. Her landmark work, "PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education" (2019, 242 citations), introduced a groundbreaking toolkit and curriculum that enables preschoolers to build, program, train, and interact with a social robot, demystifying the AI technologies they encounter daily in smart toys and digital platforms. Oh’s research fundamentally challenges the assumption that AI education must wait until later grades, demonstrating that even young learners can grasp foundational ideas about machine learning and algorithmic thinking through playful, tangible experiences. Her contributions have shaped a new subfield of AI literacy for early childhood, influencing both curriculum designers and technology developers. Beyond PopBots, Oh’s work explores how children perceive and interact with intelligent systems, with implications for equitable access to computational education. Her highly cited research continues to inspire educators and technologists to rethink when and how we teach AI, making her a leading voice in preparing the next generation for an AI-driven world.

Research Focus

Key Achievements

1
H-Index
1
Papers
242
Total Citations
242
Avg Citations/Paper
🏆 Most Cited Paper
PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education
242 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Massachusetts Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago