Promoting student success: What accreditation teams can do
Loading...
Can’t use the file because of accessibility barriers? Contact us with the title of the item, permanent link, and specifics of your accommodation need.
Date
2005
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Indiana University Center for Postsecondary Research
Permanent Link
Abstract
The process of accreditation review in the U.S. serves two primary functions: quality assurance and continual improvement. The
experienced educators who voluntarily serve on accreditation teams apply common standards of quality that serve students and meet public
accountability expectations and offer
suggestions and recommendations for
institutional consideration and improvement. In the last decade, regional accreditation
commissions and national professional and specialized accreditation agencies have increasingly focused on student learning results and institutional improvement. There has been a corresponding shift in focus from institutional resources, structures, and inputs as the primary
indicators of institutional quality, toward increased emphasis on student learning results, appropriate to the degree level and mission of the institution. Accreditation review team reports are rich sources for examples of institutional practices that engage student learning. What have not been readily available
to accreditation teams, however, are
compilations of examples of good institutional practice. The suggestions offered here are drawn in large part from a study of 20 diverse four-year colleges and universities that have higher-than-predicted graduation rates and, through the
National Survey of Student Engagement, demonstrated that they have effective practices for fostering success among students of
differing abilities and aspirations. These institutions called DEEP schools here because they were studied for the project on Documenting Effective Educational
Practices clearly communicate that they value high quality undergraduate teaching and learning.
Description
Keywords
Deep learning
Citation
Journal
DOI
Link(s) to data and video for this item
Relation
Type
Report