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The Science of Learning aims to understand what learning
is and how it is affected at all levels, ranging from the digital to the
societal. The science of learning emerges from the intersections of diverse
disciplines across the biological, cognitive, computational, mathematical,
physical, and social sciences, engineering, and education. Areas include
psychological, social and pedagogical aspects of learning, the biological
basis of learning, machine learning, learning technologies, and mathematical
analyses and modeling of all of these. This growing body of knowledge is
extending our understanding of learning and connecting learning research
to the scientific, technological, educational, and workforce challenges of
our time.
The Science of Learning Centers program (SLC) offers awards
for large-scale, long-term Centers that will extend the
frontiers of knowledge on learning and create the intellectual,
organizational, and physical infrastructure needed for the long-term
advancement of learning research.
Centers will be built around a unifying research focus and
will incorporate a diverse, multidisciplinary environment
involving appropriate partnerships with academia, industry,
all levels of education, and other public and private
entities.
Catalyst awards will also be made during the initial years
of the program. Catalyst awards are designed to enable partnership-building
and research activities leading to the creation of new Centers.
For further information, see the SLC program solicitation.
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