Statistics – Computation
Scientific paper
May 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21641605c&link_type=abstract
American Astronomical Society, AAS Meeting #216, #416.05; Bulletin of the American Astronomical Society, Vol. 41, p.826
Statistics
Computation
Scientific paper
Recently, 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 the teaching of cosmology through research on undergraduate learning in cosmology as well as the development of a series of web-based cosmology learning modules. In order to investigate student ideas about the structure, composition, and evolution of the universe, our group has developed an open-ended cosmology survey. We administered the survey prior to instruction and conducted follow-up student interviews using the survey. Preliminary results regarding student misconceptions in cosmology, student attitudes toward inquiry, and directions for instruction in cosmology will be presented.
Bailey Jeremy
Coble Kimberly A.
Cochran Gregory
Cominsky Lynn
Hayes Virginia
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