Recent insights have underscored the role of context in cultivating intelligence mindsets' influence on students' academic outcomes. Psychological affordances of the social context may encourage an adaptive perspective (i.e., growth mindset). Expanding this novel area of investigation, we examined how students' sense of belonging, as an affordance…

Across the nation, community colleges have expanded dual enrollment programs to increase college enrollment and completion, particularly among historically underserved populations. The California Community College system--the largest system in the nation--is no different and recently expanded its dual enrollment programming to include College and…

Most public colleges and universities rely heavily on state financial support. As state budgets have tightened in recent decades, appropriations for higher education have declined substantially. Despite concerns expressed by policymakers and scholars that the declines in state support have reduced the return to education investment for public…

The recession prompted reflection on how resource allocation decisions contribute to the performance of community colleges in the United States. Private benchmarking initiatives, most notably those established by the National Higher Education Benchmarking Institute, can only partially begin to address this question. Empirical and financial…

Each year, millions of Americans enroll in community colleges, seeking to develop the skills necessary to pursue a career or to transfer to a four-year institution. Community colleges serve large proportions of nontraditional, low-income, and minority students, and they are designed to provide access to a postsecondary education at a low or…

The use of data for making educational decisions and to assess educational outcomes has been legislated by political bodies and codified by accreditation. Faculty have always used data to inform the grading process--data is gathered throughout the term to inform the letter grade assigned at the end. However, in today's educational environment,…

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…

This brief concluding chapter offers final observations and potential new developments in tracking community college students.

In 2004, Lumina Foundation for Education launched "Achieving the Dream: Community Colleges Count," a national initiative aimed at improving success among community college students, particularly low-income students and students of color. Now encompassing more than 130 institutions in 24 states and the District of Columbia, Achieving the…

"Building Institutional Capacity for Data-Informed Decision Making" is the third installment of the Cutting Edge series, which aims to help colleges engage faculty, scale successful interventions, and create a strong culture of evidence through use of data to strengthen their institutional change and student success efforts. Though the…

Using data to track and manage student enrollment is steadily becoming a standard practice on both two-year and four-year campuses. Data mining enables colleges to create predictive models for identifying behaviors that put students at risk for dropping out, flag students who engage in these behaviors, and help identify practices that work in…

This chapter describes several examples of institutional use of state- and college-level tracking data to benchmark performance, improve student success, and enhance program effectiveness.

This chapter introduces four new data tools that broaden student tracking coverage and add statistical indicators and visual images of employment patterns. (Contains 2 exhibits.)

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.)

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.)