Ensuring Quality of Digital Library Learning Objects for Computational Physics and Astronomy Education

Details Ensuring Quality of Digital Library Learning Objects for Computational Physics and Astronomy Education Ensuring Quality of Digital Library Learning Objects for Computational Physics and Astronomy Education

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...20921811j&link_type=abstract

2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #218.11; Bulletin of the American Astronomical Society,

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The Computational Science Education Reference Desk, a Pathway project of the National Science Digital Library, is establishing quality control processes to ensure quality of learning objects in its catalog. Objects in the catalog typically involve simulations, and we apply standard verification and validation processes for the simulation and modeling community to each object. Additionally, we use an accreditation process to ensure the appropriateness of materials for their intended audience. The process has been piloted initially with computational biology, chemistry, and mathematics materials in the CSERD catalog, and we are currently seeking reviewers to assist in the evaluation of objects in the fields of physics and astronomy. The initial testing of our review process has shown that a significant portion of the work in reviewing learning objects can be performed by appropriately selected undergraduates, and the results of using undergraduates in science-content degrees for validation testing as well as students in education degrees for accreditation testing will be discussed, along with ideas for using verification, validation, and accreditation of digital learning objects as a classroom activity. These questions of “Is the model well crafted, is the science right, and is the tool useful?” are fundamentally driven by the process of scientific inquiry and can be used to help students better understand the scientific method. This work supported by the National Science Foundation’s NSDL program, DUE-0435187.

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