Disaggregated Data to Present to BOT in March 2025

• OpenArchitect is currently not able to disaggregate DIBELs data. Working with them to fix.
• Data at a Glance:
  • STAR Math
    • Can see that in most grade meeting and exceeding has improved.
      • 8th grade there has been a bit of backsliding.
    • Disaggregated Data:
      • Black and White students achieving at a relatively similar spot
      • Hispanic and Multiracial are slightly lower
        • What is relationship between MLL status and reading status
          • Unanswerable at this point, will be able to say more when we can disaggregate DIBELs data
      • Gender: Started out equal and there is a growing gap in grade level math performance
        • last year female students got worse over the course of the year, indicates a systemic problem
      • Multilingual status: It looks like they are doing much better than non-ML students
        • Are we actually identifying and supporting all the MLs through our current methods
      • Low-income: They are a little bit lower but they are pretty close.
• DIBELS Reading
  • Beginning of year
    • Why are such a large percentage 1st graders so far behind?
      • Anecdotally: As much as 3/4 incoming kindergarteners are coming in not knowing their letters. They're at home or in a daycare setting rather than formal pre-k.
    • What can we do to provide intervention as soon as we know that they're enrolling in Kindergarten?
      • Start screening again to prepare appropriately
      • Moonshot: authentic age 3-5 primary class rather than just kindergarten
  • Midyear: Significant gains in the % of students reading at grade level
    • This year's mid-year data is a higher average composite score than last year, so that shows growth

Questions for future:

• Does it makes to use these kind of metrics make sense to attach to ED performance evals?
  • yes

Action Items:

• When we have a complete presentation , Hannah will send to Jeff. Jeff sends to Board and to Kim for March Meeting packet