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SMART Early Warning Definitions & Calculations

SMART Early Warning Definitions & Calculations

How to Access the Early Warning Reports

From the SMART landing page, find the Early Warning Reports heading and click on the + Create New Early Warning Report button.

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Accessing the EW Report in SMART

SMART Student Risk List

The SMART Early Warning Report allows users to select which risk to include or exclude from the Measures button. There are filters at the top of each measure column that allows users to select which risk values to include or exclude. Users can also click on a student’s name or ID to open that individual student’s profile in another browser tab. The names and IDs are underlined and blue to denote links.

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SMART Early Warning Report
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Selectable SMART Measures for Early Warning Report (local assessments will vary by district)

Background

The purpose of DataZone’s Early Warning (EW) Report is to identify students most at risk of dropping out or not completing high school on time. With that as the goal, there are some key assumptions about which we should be explicit. Researchers in the field of early warning indicators confirm that a student doesn’t become at-risk the moment s/he hits a specific threshold indicator. Dropping out should be considered an extended process rather than a single event. In some cases, these risk factors may appear very early in a student’s life and are likely driven by multiple factors. Some factors are individual to the child, and others are more reflective of the community or society at large.  As such, the drop-out process will vary significantly between students and will consist of different pathways to dropping out. It is also important to remember that the data used to measure student risk factors is imperfect. Many variables overlap with one another, some variables are more susceptible to being of poor quality, and the predictive power of variables varies. These limitations should not prevent the use of this information but offer implications for how we communicate about the EWIS and its intended use.

In alignment with and supporting a Multi-Tiered System of Support (MTSS), the EW dashboards in K12 Analytics and EW report in SMART will alert educators about at-risk students as early as possible so that they can begin the process of identification and intervention. Designing programs and interventions around the Early Warning indicators will help to ensure that interventions are designed and implemented at the student, classroom, and school level to provide targeted support based on student needs. 

Early Warning Indicators

The EW Indicators are based on research-based thresholds outlined below.  The thresholds are ternary - represented as a High Risk, Medium Risk, and Low Risk categorization. 

Definitions & Calculations

Below are the definitions for each Risk Indicator available. Terms and definitions in light grey text are currently in development.

Terms

Definition

Period

Threshold

Detailed Definition

Attendance Risk

% of Days Missed

Year to Date

High < = 90%

Medium > 90 and < 95

Low >= 95

The Attendance Risk indicator highlights students who have missed more than 5% of school days so far in the current school year.

Discipline Risk

Count of Referrals

Year to Date

High > 5 incidents

Medium <= 5 and > 2

Low <= 2

The Discipline Risk indicator identifies students who have been cited for any disciplinary incident so far in the current school year.

Suspension Risk

Count of ISS + OSS

Year to Date

High > 1 suspension

Medium 1

Low 0

The Suspension Risk indicator identifies students who have been cited for a disciplinary incident warranting suspension or so far in the current school year.
ISS: In School Suspension
OSS: Out of School Suspension

GPA Risk

GPA Value

Cumulative

High < 2.5

Medium <= 2.5 and >= 3.0

Low > 3

The GPA Risk indicator identifies students with cumulative GPAs below 2.0.

Cumulative Ds
(Final Grades for Current School Year)

Count of Ds

Year to Date

High > 3

Medium <= 3 and >= 2

Low < 2

The Ds & Fs Risk factor identifies students who are receiving poor marks and are therefore at-risk of not graduating on time.

Cumulative Fs
(Final Grades for Current School Year)

Count of Fs

Year to Date

High > 1

Medium 1

Low 0

SBA Risk (ELA & Math)

Proficiency Band

Last taken

High Standard Not Met

Medium Standard Nearly Met

Low Standard Exceeded or Standard Met

The State and Local Assessment Risk factor identifies students who are not meeting grade-level standards.

iReady Overall Relative Placement (ELA & Math)

Proficiency Band

Last taken

High 2 Grade Levels Below; 3 or More Grade Levels Below

Medium 1 Grade Level Below

Low Mid or Above Grade Level; Early On Grade Level

DIBELS Composite Level

Proficiency Band

Last taken

High Well Below Benchmark

Medium Below Benchmark

Low Above Benchmark;
At Benchmark

F&P Raw Score (ELA)

Proficiency Band

Last taken

High Not Met

Medium Nearly Met

Low Met

NWEA MAP Test RIT Score (ELA & Math)

Proficiency Band

Last taken

High Low; LoAvg

Medium Avg

Low High; HiAvg

STAR Scaled Score (ELA & Math)

Proficiency Band

Last taken

High Urgent Intervention; Intervention

Medium On Watch

Low At Benchmark; Above Benchmark

FastBridge Raw Score (ELA & Math)

Proficiency Band

Last taken

High High Risk

Medium Some Risk

Low Low Risk

District Graduation Status

On/Off Track Status

BOY, MOY, EOY

High Extremely Off Track; Moderately Off Track

Medium Slightly Off Track

Low On Track

The thresholds for each status are determined by credit calculations at the start of the year and every time final marks are published. Credit calculations are completed at the Beginning of Year, Middle of Year, and End of Year to determine on/off track status.

  • BOY: start of school through mid-January

  • MOY: mid-January through mid-June

  • EOY: mid-June through the start of school

A-G Ready

 

 

 

Definition under development

Bibliography & Research

The Use of Early Warning Indicator and Intervention Systems to Build a Grad Nation, Johns Hopkins 2011




 

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