Ying Xu

Ying Xu, a Harvard education researcher focused on AI in classrooms; Tina Grotzer, a cognitive scientist who studies metacognition; and Michael Brenner, a Google research scientist who studies large language models. They debate how to keep learning essential while using AI. They explore redesigning tasks, developmental differences, metacognition, tutoring’s social role, and guardrails to protect cognitive growth.

Ying Xu, an assistant professor at the Harvard Graduate School of Education, dives into the intriguing intersection of AI and children's development. She discusses how AI can enhance learning, especially when designed with educational principles, noting improvements in children's reading skills. However, Xu warns that while AI provides personalized learning, it cannot replace the critical human connections vital for social and language growth. She also emphasizes the need for AI literacy among children to navigate information effectively and encourages a balanced approach to integrating technology in education.