Compares the student to the standard.
Documents performance at a set point in time.
Does not factor in a student's background or local context (one size fits all).
TIA Assesses Growth Only
Measures student academic progress achieved in response to teacher practice.
Measures student academic progress during a specific amount of time.
Provides student data to adapt growth expectations to each student's context.
Focuses on the progress a student makes, not necessarily on whether a student meets a predetermined benchmark.
Pre & Post Tests
Examples:
STAAR
Renaissance Star
Released STAAR
District-Created Tests
Circle
TPRI
Portfolios
Best for classes where skills are assessed rather than content knowledge.
Teacher/admin created rubrics.
Multiple artifacts collected over the year.
Student Learning Objectives (SLOs)
Growth is determined by looking at the student's body of work, as opposed to a test.
Districts must use the Texas SLO Model.
Could be a great option for non-tested subjects.
Value Added Measure (VAM)
*Must have student's historical testing data available.
STAAR and Renaissance Star align with VAM.
Requires a statistical analysis of historical data.
To be considered for a designation with TIA, a teacher must receive at least 55% student growth from the BOY to the EOY. 55% is the statewide standard for recognized student growth.
*Student growth cut points are often adjusted to create a stronger correlation of district data prior to submission.
The short answer: it depends.
Some assessment options measure growth for the districts, like Renaissance Star. With others, the district takes the BOY and EOY scores, then applies one of the 6 growth models to determine if students met their growth goals. It's important to note, some assessments are less rigorous than others. The cut point for student growth will likely have to be adjusted to create the same level of rigor for all students and assessments.
If a student meets their projected growth, using one of the 6 growth models, the district will determine the overall growth by dividing the number of students who met their growth by the total number of students in the data set.
If a student was not present for the BOY assessment in the first 9 weeks of the school year, they will not be included in the teacher's data set. Similarly, if they are not present for the EOY assessment in the last 12 weeks of the school year, they will not be included in the teacher's data set.