For better or worse, many educational decisions that were once handled on a personal level by teachers or administrators now increasingly rely upon data and information. To be successful in this era, educators need to understand this broad sociotechnical revolution and how it is realigning traditional roles and responsibilities. In this book, the author draws on his unique background in learning sciences, education policy, and information systems to provide valuable insights for both policy and practice. The text discusses many current topics including value-added modeling for teacher evaluation, big data and analytics, longitudinal data systems, open educational resources, blended and personalized learning models, and new designs for teaching. This comprehensive book: (1) Examines the social and historical context of the educational data movement as it unfolds across educational levels; (2) Synthesizes different research traditions from inside and outside of education; (3) Assesses the successes, challenges, and potential of data analytics; (4) Helps educators and innovators design technology-rich solutions for greater student success; and (5) Discusses the catalytic role that foundations have played in making education a more informational and evidence-based practice.