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Download full textCampaign for College Opportunity, 2019
With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…
Descriptors: Data Collection, Data Analysis, Higher Education, Access to Education
Peer reviewed
Direct linkSmith, 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
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
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
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
Boyer, Patricia Grace; Butner, Bonita K.; Smith, Dwyane – Higher Education: The International Journal of Higher Education and Educational Planning, 2007
Remediation in postsecondary education continues to be an issue that is hotly debated by institutional leaders and state policymakers. The National Center for Education Statistics [The National Center for Education Statistics. (2003). "Remedial education at higher education institutions in fall 2000. PEQIS". Washington, D.C.: U.S.…
Descriptors: Remedial Programs, Faculty Workload, Remedial Instruction, Educational Trends
Romano, Richard M.; Wisniewski, Martin – Association for Institutional Research (NJ1), 2005
Accurate measures of transfer are important to the assessment of community college outcomes. This article uses a relatively new database from the National Student Clearinghouse to assess transfer rates at the State University of New York community colleges. Past studies only tracked students within the public sector of a given state. Once…
Descriptors: Community Colleges, Transfer Rates (College), Clearinghouses, College Transfer Students
