As artificial intelligence (AI) tools gain traction in K–12 classrooms, educators and policymakers across 鶹ԭ are grappling with how to implement these tools responsibly—often without formal state guidance. In a recent 鶹ԭ Matters feature, Jing Liu, associate professor in the 鶹ԭ College of Education and director of the college’s Center for Educational Data Science and Innovation, offered expert insight into the fast-moving landscape of AI in schools.
The story explores how state officials are working to develop a policy framework for AI use in education, while highlighting the uneven adoption of AI tools across 鶹ԭ school districts.
Liu emphasized the need for rigorous, timely research to inform how AI is used in education settings.
“The AI space is developing really, really fast. All the AI tools are developed at lightning speed,” Liu said. “We are still at a very early stage in terms of understanding their impact. There hasn’t been a lot of research looking at the impact of particular AI uses on teacher and student learning outcomes.”
in 鶹ԭ Matters.
