Whether you’re a researcher, educator, administrator, or policymaker, Learning Science brings you up to date on the state of learning science today—and on where it’s headed. Presenting the newest research and ideas of leading authorities in their respective fields, it draws on many disciplines—from psychology and sociology to data science and cognitive science—and offers solutions to our most urgent educational challenges. 

Learning Science also bridges the gap between theory and practice, providing concrete examples of how theory drives educational innovation. It is organized into three sections: Foundations of Learning Science (broad explorations of learning science approaches to education, learning, and teaching); Technology, Algorithms, and Educational Practice (how advances in technology, data science, and AI are being harnessed to improve educational outcomes); and From Research to Practice (best practices and exemplary educational programs based on findings of learning science).

Contributors include:

•Arthur Grasser, University of Memphis  

•Rose Luckin and Mutlu Cukurova, UCL Knowledge Lab, London

•Tanya Joosten, University of Wisconsin

•Melina Uncapher, University of California, San Francisco

•Xiangen Hu, Central China Normal University and University of Memphis

•Susan Fuhrman, Teachers College, Columbia University

•Ryan Baker, Jaclyn Ocumpaugh, and Juan Miguel L. Andres, University of Pennsylvania

•Neil Heffernan and Korinn Ostrow, Worcester Polytechnic Institute

•Alfred Essa, McGraw-Hill Education

•Christopher Dede, Tina Grotzer, Amy Kamarainen, and Shari Metcalf, Harvard University

•Richard C. Larson, M. Elizabeth Murray, and Daniel D. Frey, Massachusetts Institute of Technology

•Jennifer Kotler, Sesame Workshop 

•Valerie Shute, Fengfeng Ke, and Russell Almond, Florida State University