Artificial intelligence (AI) has the potential to improve K-12 education in the United States. For students, AI can provide them a personalized learning experience tailored to their individual preferences and needs, immediate feedback on their work and answers to their questions, and increased access to tutoring and other educational materials. For teachers, it can help automate some of their workload, design better interventions, and reduce burnout. And for administrators, AI can monitor the student body and provide preemptive interventions with the help of predictive analytics. But while there are many benefits to AI in schools, there are a number of technical, operational, and social challenges that limit AI-driven innovation in the education sector. This report explores existing and potential uses of AI in K-12 education in the United States as well as the challenges that hinder the technology’s adoption and effectiveness.
How AI Can Improve K-12 Education in the United States
Gillian Diebold is a Policy Analyst at the Center for Data Innovation, focusing on data policy and digital inequalities. She holds a B.A. from the University of Pennsylvania, where she studied Communication and Political Science.
Chelsea is a Google Policy Fellow with the Center for Data Innovation. Chelsea previously has led digital transformation in legal and public sectors. Her work in innovation has been recognized by the IBM/Institute of Public Administration of Canada's Award for Innovative Management as a finalist and the Prix Excelsior Award in Innovation and Transformation. She researched artificial intelligence and blockchain technology during her Master's studies in Technology, Innovation, and Education at Harvard University. She presented her blockchain research at the UN ITU Young ICT Leaders' Forum where she was selected as a top finalist in the UN Global Smart Cities Challenge. She received her Master of Science from the University of Oxford and Honours Bachelor of Arts from the University of Toronto.