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Mullin, Christopher M.; Lebesch, Anna – American Association of Community Colleges (NJ1), 2010
The need for better data on the performance of higher education has become a major focus of education policymakers, and this has been reflected in federal legislation. Community colleges are appropriately held accountable for the workforce outcomes of their students, but the data that are gathered to evaluate those outcomes must reflect the…
Descriptors: Federal Legislation, Program Descriptions, Content Analysis, Education Work Relationship
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
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Schoenecker, Craig; Reeves, Richard – New Directions for Community Colleges, 2008
This chapter describes the National Student Clearinghouse and discusses opportunities and challenges for tracking community college students. It also presents a system perspective on using clearinghouse data to promote more comprehensive student and graduate tracking. (Contains 2 tables.)
Descriptors: Transfer Rates (College), Clearinghouses, Nonprofit Organizations, Community Colleges
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Bailey, Brenda L. – New Directions for Institutional Research, 2006
Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)
Descriptors: Graduation Rate, Models, Data, Prediction
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Ewell, Peter; Jenkins, Davis – New Directions for Community Colleges, 2008
This chapter examines lessons learned by states that are using student unit record (SUR) data to improve outcomes for community college students and recommends steps states can take to strengthen their use of SUR databases to benefit students and communities. (Contains 1 exhibit.)
Descriptors: Community Colleges, Databases, Student Records, Data