Data-driven innovation has the potential to transform education for the better by allowing teachers to meet the individual needs of each student, improving school efficiency, and creating a more evidence-based education system. For example, schools can use analytics in the classroom to better monitor student learning, offer insights to improve student achievement, and assess and reward teacher effectiveness. However, in the United States, the K-12 education system has been slow to act on this potential, which has contributed to lagging performance and disparities in educational outcomes. Today, the U.S. education system is ripe for being transformed by data, but this change can only happen if policymakers and educators address the cultural, political, and technological barriers to take advantage of the potential of data.
Join ITIF's Center for Data Innovation for a discussion on a forthcoming report examining how the United States can build a data-driven education system, the benefits of a data-driven approach, and how to overcome the considerable challenges these innovations face.