Statistics – Computation
Scientific paper
May 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21821507c&link_type=abstract
American Astronomical Society, AAS Meeting #218, #215.07; Bulletin of the American Astronomical Society, Vol. 43, 2011
Statistics
Computation
Scientific paper
Powerful new observations and advances in computation and visualization have led to a revolution in our understanding of the origin, evolution and structure of the universe. These gains have been vast, but their impact on education has been limited. We are bringing these tools and advances to cosmology education through a series of web-based learning modules informed by our research on undergraduate learning. The major themes include: the vastness and nature of space and time, gravity and dark matter, and the big bang. Students will master scientific concepts as well as the reasoning processes that lead to our current understanding of the universe, through interactive tasks, prediction and reflection, experimentation and model building. This curriculum will fill the acute need for research-based educational resources in the rapidly changing field of cosmology while serving as a model for transforming introductory courses from primarily lecture- and book-based to a more engaging format. This work was supported by NASA ROSES E/PO Grant #NNXlOAC89G, as well as by the Illinois Space Grant Consortium and National Science Foundation CCLI Grant #0632563 at Chicago State University and the Fermi E/PO program at Sonoma State University.
Bailey Janelle Margaret
Coble Kimberly A.
Cominsky Lynn R.
McLin Kevin M.
Metevier Anne J.
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