Practices with Promise Success Story
Submitted By: John Makevich, College of the Canyons
Building a data-driven consortium culture
- Type of Practice: Data & Accountability
- Targeted Population: Adult Basic Education Students
- Program Area(s): Adult Basic & Secondary Education
- Consortia Involved: Santa Clarita Valley Adult Education Consortium
Prior to the installment of Data and Accountability funding, the use of data was limited and was compartmentalized to each member institution. Not only did we need supplemental funding to help us invest in improved use of data, but also we needed intentional consortium-wide planning to ensure that we built a culture centered around the use of student and community data.
Data collection and analysis processes were aggregated to specifically address performance accountability and program expectations. Given the results of pre-planning efforts, the GatewaySCV consortium management team formed a data subgroup charged with the task of examining the data for evidence of potential gaps in service, as well as any additional gaps that emerged.
The consortium management team utilized the self-assessment tool as a guide to map out gaps in service that emerged from the data. Given the results of pre-planning efforts, the consortium management team formed a data subgroup charged with the task of examining the data for evidence of potential gaps in service, as well as any additional gaps that may emerge.
The data subgroup identified four groups of target populations that GatewaySCV would seek out in order to close our gaps in service:
- Those over 18 years of age with an educational attainment level below high school diploma
- Socioeconomically disadvantaged Santa Clarita residents
- English Language Learners
- Unemployed or underemployed individuals, or those seeking career changes or upskilling.
We also built a library of local, state, and national data sources that serve as ongoing references for our data-informed planning processes.
We built a library of local, state, and national data sources that are referenced in our three-year plan, page 6. As part of these data, we utilized regional studies conducted by both member institutions. In addition, we contracted with a local research firm to produce a demographic study that was more specific to the zip codes in our region.
Our 2019-2022 three-year plan provides references to these data sources.
As well, as a result of our investment of these funds, both members now regularly study student data in order to identify paths for improvement. We are also investigating the use of a common student information system that could be shared between both members, an opportunity that arose from the study of our data and gaps.