Green River College
81% of entering community college students indicate that they want to earn at least a bachelor's degree, but only 33% successfully transfer to a four-year institution within six years and fewer than half of those students will complete the transfer program (1). Facilitating transfer experiences is important as it creates an avenue of higher earning power for students long-term.
The transfer dashboard uses clearinghouse data to monitor the number/percentage of students that successfully transfer to a four-year institution between 4-6 years after community college enrollment. These data can be disaggregated on types of demographic data as well as cohort type and educational intent. While a portion of this is beyond the control of the community college (such as rising 4-year tuition rates), monitoring these data at the college level can help to identify populations less likely to transfer and can inform intervention strategies that can be assessed for improvement, such as increased transparency of the process, better program-mapping for alignment, and potential collaborations with 4-year institutions to create bridge programs.
The transfer rates dashboard uses many of the same filters as the other dashboards. The new filters are the following:
For students who enroll in ABE courses to start, what percentage of those who completed their intended transfer program successfully do so within four years of initial enrollment? How do the data compare between Big Bend College and the rest of the SBCTC system?
1. Jenkins, Davis, and John Fink. “Tracking Transfer: New Measures of Institutional and State Effectiveness in Helping Community College Students Attain Bachelor’s Degrees.” Community College Research Center, Teachers College, Columbia University. New York, NY: 2016.
Connecting education and wage data can give institutions and policymakers a fuller picture of a program's performance. Analysis of student’s paths after graduation can inform strategies to better support student preparation for careers. Higher education institutions may use it to inform the creation of or increased capacity for programs that align with local in-state job opportunities. Advisors can use earnings information to facilitate students’ decision making about career and degree paths. Policymakers may use the data to inform legislation aimed at improving education outcomes to in turn improve the local economy .Collaborations, like that set-up between Washington, Idaho, Hawaii, and Oregon allow this data exchange to track labor migration across state borders.
The employment dashboard uses data gathered by the Institute for Higher Education Policy (IHEP) as it relates to student incomes post-college. These data can be disaggregated on types of demographic data and educational intent. They can inform whether programs intended to address certain occupational targets have successfully resulted in the targeted jobs. They can help institutions target educational training programs designed to help students gain the knowledge, skills, and certifications for jobs that are in high demand, fast growing, or offer high earnings.
The employment and earnings dashboard uses many of the same filters as the other dashboards. The new filters are the following:
In addition, there is a tab that allows you to use the earnings filters above and disaggregate the data by median earnings of different career clusters, as seen on the X-axis. Unfortunately, this option does NOT show you how many students are within each career cluster.
and successfully transfer of community college enrollment?
are employed of completion of ? What are the median earnings of these students?
in the field of completion of ?