Edstar Analytics Offers:
We customize support for your needs. The planning phase includes identifying relevant policies that impact the programs you are planning, a Needs analysis, survey items from which to select for documenting baseline, relevant research on best practices, and identifying and summarizing relevant research. We help with writing measurable objectives, and criteria for identifying a target population for a program.
We have extensive experience with programs that address literacy, STEM, graduation and dropout, family involvement, college readiness, achievement gaps, and implementing the ASCA National Model for school counselors.
We create data dashboards, data summaries, and analyses to make data consumable.
We provide Collaboration Clouds, which are social forums for projects designed to support successful collaboration among project stakeholders. We help you form meaningful collaborations. Click here to see our visual on meaningful collaboration.
We put this all together in a Kit customized for your needs. We start with professional development for staff to support the paradigm shift and institutional changes that often occur when moving to research-based data-driven methods. The kits include activities to use when planning how to link needs to services, relevant research citations, and online prompts used to creates plans and supporting budgets.Shop Edstar’s Online Education Library
In the educational setting we have successfully helped schools close achievement gaps and helped educators lead students to embrace 21st-century career challenges. One example that illustrates our process would be the work we did for the NC Dropout Prevention grants:
- The grants were in their second cycle.
- Many grants had objectives that were not clearly aligned with helping students graduate.
- Records were not kept in standard ways across programs.
- designed and supported standard record-keeping procedures,
- helped grantees reframe their objectives to be measurable, and (for the next cycle of the dropout grants),
- provided support for all applicants to plan programs that would target the students most at-risk of not graduating in their area.
These students were identified by the variables that the agency would try to change. For example, students who could not pass the required math classes were at risk of not graduating, and being able to pass the math classes would be the variable they targeted for change. Grant applications then described programs that were clearly aligned with the needs of students, and supported the students graduating on time. Model successful programs were identified and shared with other school districts.
Our methodologies and knowledge of how to use data to influence outcomes, as evidenced by the example above, is a strong suit. We are actively cultivating opportunities to work with both non-profits and funding sources to close the gap between grant expectations and grant recipient performance. As we engage more entities with our best practices, we believe they will become more efficient in delivering value to the communities they serve. We look forward to discussing our role as a multiplier with you and any organizations whose interests you represent!
We start with professional development to teach how to use the Capacity PACK to plan research-based data-driven programs that align services with the needs of the target populations.