A group of distinguished experts in the field of brain science
provide an overview of learning science today and its future, while
offering insights for improving educational practice. 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
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