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Tara’s most recent updates Week of 6-12):

Academic Assessments

The current plan for academic assessments is to show the tier for each student for each assessment for which they have data. So, for example with the Belleville data, students in the older grades have assessment data for the Star Math and the Star Reading assessments. Tiering for students should happen separately for each assessment, meaning they could be in different tiers for Star Math vs. Star Reading. This point will be even more important when we have customers with more than one assessment for a given subject (e.g., a state standardized assessment for math and reading in addition to a national assessment for math and reading).

These instructions are intended for Belleville specifically. We also expect these instructions to apply to other customers using Renaissance STAR academic assessments. However, in the future, we will have customer who use other assessments, and the rules for how to determine which student are recommended for each tier will be different.

The following three files contain academic assessments data:

  • SEL.csv (early literacy assessment primarily for students in early grades)

  • SM.csv (math assessment scores for students in middle elementary grades and up)

  • SR.csv (reading assessment scores for students in middle elementary grades and up)

Tiering will be based exclusively on the most recent value of the PercentileRank column for each student, where most recent is determined by the CompletedDateLocal column and each student is identified StudentUserID column.

 

Here is the mapping for students:

Using the most recent date (as per the CompletedDateLocal column) within each student (as identified by the value in the StudentUserID column):

  • PercentileRank < 10 = tier 3

  • For the case when PercentileRank >= 8 & PercentileRank < 10 the student will be assigned to tier 3 with an indicator (such as an up arrow) showing that they are close to moving to tier 2

  • PercentileRank >= 10 & PercentileRank < 25 = tier 2

  • For the case when PercentileRank >= 10 & PercentileRank < 12 the student will be assigned to tier 2 with an indicator (such as a down arrow) showing that they are close to moving to tier 3

  • For the case when PercentileRank >= 23 & PercentileRank < 25 the student will be assigned to tier 2 with an indicator (such as an up arrow) showing that they are close to moving to tier 1

  • PercentileRank >= 25 = tier 1

  • For the case when PercentileRank >= 25 & PercentileRank < 27 the student will be assigned to tier 1 with an indicator (such as a down arrow) showing that they are close to moving to tier 2

Dev Feedback

  • Include how to handle and empty state-images/text

  • How will we separate by districts-which column?

  • Include when we rename attribute column-shown in design

We need to map fields used in Renaissance to our Rethink Platform. Our goal is to provide users with recommendations for Tier selection based on Data Analytics calculations.

The areas to map include:

Suggestion for future development:

  • Take a second look at the data we have and how it can be used to further our product offerings: Example: InstructionalReadingLevel,EstimatedOralReadingFluency, Quantile, LiteracyClassification may be useful in connecting to Vizzle.

  • Consider StudentGrowthPercentileFallFall, and others for Winter and Spring which could be a graph that shows the student’s growth from year to year. (Reading, Math, Student Early Literacy)

  • Anticipate requests to customize test scores to reflect district decisions. DistrictBenchmarkCategoryName and RenaissanceBenchmarkCategoryName. Districts sometimes determine their own benchmarks so values in these two columns could be different for a specific student.

Column definitions documents:

 

Comprehensive help center site: Help Center shows cut scores

 

Customer-facing data sharing instructions:

New_DataSharing.pdf (widen.net)

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