AI, Education Technology, and Personalized Learning

RAND Education and Labor researchers employ a variety of qualitative and quantitative methods to understand how education technologies are used effectively.

Technology has the potential to enhance teaching and learning in a variety of ways, such as by providing innovative instructional materials and assessments, as well as tools to help enable educators to provide more personalized learning for their students. Over the past few decades, thousands of education technology products have been developed, yet relatively few have been demonstrated to meaningfully improve student outcomes. RAND’s research program on AI in schools, education technology, and personalized learning seeks to identify the most promising tools and approaches, deploy them in schools to measure their effects and gain rich implementation details, and then to use those findings to guide policies, implementation strategies, and future product development—all toward maximizing technology’s benefits for students.

Researcher Spotlights