Florida's Value-Added Model for Teacher Evaluation

 
 
 
FLORIDA’S VALUE ADDED
FLORIDA’S VALUE ADDED
MODEL
MODEL
 
Overview of
Overview of
the Model to Measure Student Learning Growth on FCAT
the Model to Measure Student Learning Growth on FCAT
 
 
January 2012
January 2012
 
1
 
As set forth in the 
Student Success Act 
and 
Race to the
Top
, teacher evaluations are:
 
Designed to support effective instruction and student
learning growth
 
Used when developing district and school level
improvement plans
 
Used to identify professional development and other
human capital decisions for instructional personnel
and school administrators
 
2
 
NEW STANDARD FOR TEACHER
EVALUATIONS
 
To support those objectives, the law sets forth that
teacher evaluations are to be based on sound
educational principles and contemporary research in
effective practices:
 
1.
The performance of students – IPEGS Standard 1
2.
Instructional practice and job responsibilities –
IPEGS Standards 2-8 or 2-7
 
3
 
NEW STANDARD FOR TEACHER
EVALUATIONS
 
Performance of Students. At least 50% of a performance
evaluation must be based upon data and indicators of
student learning growth assessed annually and
measured by statewide assessments or, for subjects and
grade levels not measured by statewide assessments, by
district assessments as provided in s. 1008.22(8), F.S.
 
-Section 1012.34(3)(a)1., Florida Statutes
 
4
 
NEW STANDARD FOR TEACHER
EVALUATIONS
 
The Department convened a committee of stakeholders
(
Student Growth Implementation Committee –or SGIC
) to
identify the type of model and the factors that should be
accounted for in Florida’s value-added models
To provide technical expertise, the Department
contracted with the American Institutes for Research
(AIR) to help the SGIC develop the recommended model
that was adopted.
The SGIC’s recommended model was fully adopted by
the Commissioner with no additions, deletions, or
changes
 
5
 
FLORIDA’S VALUE-ADDED MODEL
DEVELOPED BY FLORIDA EDUCATORS
 
The Student Growth Implementation Committee (SGIC) is composed
of 27 members from across the state. The group includes:
Teachers (across various subjects and grade levels, including exceptional
student education)
School administrators
District-level administrators (Assessment and HR)
Postsecondary teacher educators
Representatives from the business community
Parents
 
The SGIC met from March through June 2011
2 two-day in-person meetings
4 conference call meetings
 
6
 
FLORIDA’S VALUE-ADDED MODEL
DEVELOPED BY FLORIDA EDUCATORS
 
After exploring eight different types of value-
added models, the SGIC recommended a model
from the class of covariate adjustment models
 
This model begins by establishing expected
growth for each student:
Based on historical data each year
Represents the typical growth seen among students who
have earned similar test scores the past two years, and
share the other characteristics identified by the
committee
 
 
7
 
FLORIDA’S VALUE-ADDED MODEL
DEVELOPED BY FLORIDA EDUCATORS
 
A value-added model attempts to measure the
impact of a teacher on student learning, by
accounting for other factors that may impact the
learning process.
 
These models DO NOT:
Evaluate teachers based on a single year of student
performance or proficiency (
status model
) or
 
Evaluate teachers based on simple comparison of growth
from one year to the next (
simple growth
)
 
 
8
 
THE NEW MEASURE:
VALUE-ADDED ANALYSIS
 
Teachers teach classes of students who enter with 
different
levels of proficiency 
and possibly 
different student characteristics
 
Value-added models ATTEMPT to  “
level the playing field
” by
accounting for differences in the proficiency and characteristics
of students assigned to teachers
 
Value-added models are designed to MITIGATE the influence of
differences among the entering classes so that schools and
teachers 
do not have advantages or disadvantages 
simply as a
result of the students who attend a school or are assigned to a
class
Value-Added models are not perfect. Model will be continually
reviewed by the FLDOE in case adjustments are necessary
 
9
 
ADVANTAGES OF VALUE-ADDED MODELS
 
10
 
VALUE-ADDED EXAMPLE
The difference between the
predicted  performance and
the actual performance
represents the
 value-added
by the teacher’s instruction.
The predicted performance
represents the level of
performance the student is
expected to demonstrate
after statistically accounting
for factors through a value-
added model.
 
11
 
WHAT ARE THE SCORES?
 
What is the Predicted Student Score?
 
It is the score you would EXPECT a student to achieve
based on the student’s performance on prior tests and
other information available on the student.
 
A predicted score for a student is generated based on
what would normally happen in an average class with a
typical
 teacher.
 
What is the Student Learning Growth Score?
 
The difference between 
Current test score 
and 
Predicted
test score.
 
 
 
Student Characteristics:
Up to two prior years of achievement scores (the 
strongest 
predictor of
student growth)
The number of subject-relevant courses in which the student is enrolled
Students with Disabilities (SWD) status
English Language Learner (ELL) status
Gifted status
Attendance
Mobility (number of transitions)
Difference from modal age in grade (as an indicator of retention)
 
Classroom characteristics:
Class size
Homogeneity of students’ entering test scores in the class
 
12
 
FACTORS USED TO ADJUST PREDICTED SCORE
 
Student Characteristics 
NOT
 directly accounted for:
Gender
Race
Ethnicity
Socio-Economic Status
 
These factors are not directly  included in a teacher’s VAM
score.
 
However, since these factors already influence a student’s
performance and prior performance is the predictor with
the strongest weight, they are indirectly accounted for
 
13
 
FACTORS 
NOT 
USED
TO ADJUST PREDICTED SCORE
 
In a classroom of 25 students, every student may have a different
predicted(expected) score because of the student’s individual prior
performance and student characteristic variables
 
For example  2 students in the same class with the same teacher:
 
Student A has
Prior Year FCAT Reading Score of 1700
 Attendance = 10 days absent
Student is English Language Learner
 
Student B has
Prior Year FCAT Reading Score of 1700
 Attendance = no days absent
Student is NOT English Language Learner
 
What is the expected score for each of these students ?
Student A has an expected score of 1750 and
Student B has expected score of 1790
 
 
 
14
 
HOW DO THE FACTORS AFFECT THE
PREDICTED SCORES – AN EXAMPLE
 
15
 
WHAT IS THE PREDICTED SCORE?
 
16
 
WHAT DOES THE PREDICTED SCORE LOOK
LIKE AFTER ADJUSTING FOR ATTENDANCE?
 
17
 
HOW IS STUDENT LEARNING GROWTH
MEASURED?
 
Precision in a VAM score is used to measure the
consistency of the individual teacher VAM
estimates.
 
It is measuring how much individual teacher VAMS
would change if they were computed over and
over again.
 
 
Example:  Weighing yourself on a scale
 
 
18
 
HOW PRECISE IS THIS VAM SCORE?
 
The standard error gives the uncertainty (error
band) surrounding a teacher’s VAM score
 
It can be used to prevent classifying  teachers
when that categorization would be uncertain
 
Standard errors 
will be used 
when classifying
teachers in the lowest tier to ensure that there is a
high degree confidence on this categorization
 
19
 
WHAT IS STANDARD ERROR  IN A VAM
SCORE?
 
The model recognizes that there is an independent
factor related to the school that impacts student
learning –
a
 
school component
 
Calculated based on the predicted and observed
scores of students in the school for each grade and
subject while controlling for the students’ and
classrooms’ factors mentioned previously
 
May represent the impact of the school’s leadership,
the culture of the school, or the environment of the
school on student learning
 
20
 
COMPONENTS OF THE OVERALL TEACHER
VAM ESTIMATES
 
SGIC decisions on the use of the school component
 
The SGIC decided to include 
50% 
of the school
component in the measurement of the teacher’s
effectiveness
 
By attributing a portion of the school component to
the teacher in the measurement of his/her
effectiveness, one recognizes that the teacher
contributes somewhat to the overall school
component, but there are factors imbedded in that
component that are beyond his/her direct control and
that he/she should not directly be held accountable for
 
21
 
COMPONENTS OF THE OVERALL TEACHER
VAM ESTIMATES
 
22
 
FLDOE’S CONCEPTUAL CALCULATION FOR
A TEACHER VALUE-ADDED SCORE
 
 
Teacher Value-Added Score is :
 
Teacher Growth Score
Teacher Growth Score
+
+
50 percent of the School Growth Score
50 percent of the School Growth Score
 
A VAM score represents the amount of a year’s
growth above or below expectation for a
particular grade level and subject area.
 
23
 
WHAT DOES A VAM SCORE LOOK LIKE?
 
Teachers may be teaching multiple grade levels and subject
areas
 
VAM scores are made comparable by standardizing within
grade level and subject area
 
Aggregated  standardized  VAM scores  are converted to
percentile ranks within M-DCPS to ensure comparability
across grades and subject areas
 
Percentile ranks are used for classification purposes
 
24
 
WHY NORMALIZING TEACHER VAM SCORES
IS IMPORTANT?
 
 
The graphs demonstrate that the center and spread of the
VAM scores differ across grades
 
Therefore, standardizing will ensure comparability across
grade levels
 
25
 
WHY STANDARDIZE THE SCORES?
DISTRIBUTION OF 6
TH
 AND 7
TH
 GRADE READING VAM
ESTIMATES
 
To create standardized score:
 
1.
Subtract the mean of the distribution from the observed VAM score
 
Grade 6
  
10 – 6.7 = 3.3
 
Grade 7
  
10 – 9.2 = 0.8
 
2.
Divide the result by the standard deviation
 
Grade 6 
  
3.3 / 19.5 = 0.17
 
Grade 7 
  
0.8 / 17 = 0.05
 
3.
Refer the standardized score to the normal distribution to obtain the
percentile standing
 
Grade 6
  
Standard score of 0.17 = 57
th
 percentile
 
Grade 7
  
Standard score of 0.05 = 52
nd
 percentile
 
26
 
STEPS TOWARDS CONVERTING THE VAM
TO PERCENTILE STANDINGS
 
27
 
TEACHER FINAL EVALUATION
 
Teacher’s Unified Summative Rating includes two
components:
 
Professional  Practices -  measured by IPEGS  Standards 2-8
or 2-7
 
Quantifiable Student Data – IPEGS Standard 1
Measured using a VAM score that has been converted to a percentile
rank which is currently the most accurate and objective measure
available that can be used to measure student growth
 
The VAM measure takes into account multiple indicators and prior
student performance to predict a teacher’s value–added
contribution to a student’s academic growth
 
 
 
FLORIDA’S VALUE ADDED
FLORIDA’S VALUE ADDED
MODEL
MODEL
 
Questions
Questions
 
28
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Florida's Value-Added Model and the new standards for teacher evaluations aim to measure student learning growth effectively. The model, developed by Florida educators with input from various stakeholders, emphasizes using data from assessments to evaluate teacher performance. The Student Growth Implementation Committee (SGIC) played a pivotal role in developing and adopting the recommended evaluation model. Teachers, school administrators, and district-level personnel all contribute to the evaluation process, ensuring it aligns with sound educational principles and contemporary research practices.

  • Florida
  • Value-Added Model
  • Teacher Evaluation
  • Student Growth
  • Education

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  1. FLORIDAS VALUE ADDED FLORIDA S VALUE ADDED MODEL MODEL Overview of the Model to Measure Student Learning Growth on FCAT January 2012 1

  2. NEW STANDARD FOR TEACHER EVALUATIONS As set forth in the Student Success Act and Race to the Top, teacher evaluations are: Designed to support effective instruction and student learning growth Used when developing district and school level improvement plans Used to identify professional development and other human capital decisions for instructional personnel and school administrators 2

  3. NEW STANDARD FOR TEACHER EVALUATIONS To support those objectives, the law sets forth that teacher evaluations are to be based on sound educational principles and contemporary research in effective practices: 1. The performance of students IPEGS Standard 1 2. Instructional practice and job responsibilities IPEGS Standards 2-8 or 2-7 3

  4. NEW STANDARD FOR TEACHER EVALUATIONS Performance of Students. At least 50% of a performance evaluation must be based upon data and indicators of student learning growth assessed annually and measured by statewide assessments or, for subjects and grade levels not measured by statewide assessments, by district assessments as provided in s. 1008.22(8), F.S. -Section 1012.34(3)(a)1., Florida Statutes 4

  5. FLORIDAS VALUE-ADDED MODEL DEVELOPED BY FLORIDA EDUCATORS The Department convened a committee of stakeholders (Student Growth Implementation Committee or SGIC) to identify the type of model and the factors that should be accounted for in Florida s value-added models To provide technical expertise, the Department contracted with the American Institutes for Research (AIR) to help the SGIC develop the recommended model that was adopted. The SGIC s recommended model was fully adopted by the Commissioner with no additions, deletions, or changes 5

  6. FLORIDAS VALUE-ADDED MODEL DEVELOPED BY FLORIDA EDUCATORS The Student Growth Implementation Committee (SGIC) is composed of 27 members from across the state. The group includes: Teachers (across various subjects and grade levels, including exceptional student education) School administrators District-level administrators (Assessment and HR) Postsecondary teacher educators Representatives from the business community Parents The SGIC met from March through June 2011 2 two-day in-person meetings 4 conference call meetings 6

  7. FLORIDAS VALUE-ADDED MODEL DEVELOPED BY FLORIDA EDUCATORS After exploring eight different types of value- added models, the SGIC recommended a model from the class of covariate adjustment models This model begins by establishing expected growth for each student: Based on historical data each year Represents the typical growth seen among students who have earned similar test scores the past two years, and share the other characteristics identified by the committee 7

  8. THE NEW MEASURE: VALUE-ADDED ANALYSIS A value-added model attempts to measure the impact of a teacher on student learning, by accounting for other factors that may impact the learning process. These models DO NOT: Evaluate teachers based on a single year of student performance or proficiency (status model) or Evaluate teachers based on simple comparison of growth from one year to the next (simple growth) 8

  9. ADVANTAGES OF VALUE-ADDED MODELS Teachers teach classes of students who enter with different levels of proficiency and possibly different student characteristics Value-added models ATTEMPT to level the playing field by accounting for differences in the proficiency and characteristics of students assigned to teachers Value-added models are designed to MITIGATE the influence of differences among the entering classes so that schools and teachers do not have advantages or disadvantages simply as a result of the students who attend a school or are assigned to a class Value-Added models are not perfect. Model will be continually reviewed by the FLDOE in case adjustments are necessary 9

  10. VALUE-ADDED EXAMPLE Teacher X 500 The difference between the predicted performance and the actual performance represents the value-added by the teacher s instruction. 400 300 The predicted performance represents the level of performance the student is expected to demonstrate after statistically accounting for factors through a value- added model. 200 100 0 Student E Prior Performance Current Performance Predicted Performance 10

  11. WHAT ARE THE SCORES? What is the Predicted Student Score? It is the score you would EXPECT a student to achieve based on the student s performance on prior tests and other information available on the student. A predicted score for a student is generated based on what would normally happen in an average class with a typical teacher. What is the Student Learning Growth Score? The difference between Current test score and Predicted test score. 11

  12. FACTORS USED TO ADJUST PREDICTED SCORE Student Characteristics: Up to two prior years of achievement scores (the strongest predictor of student growth) The number of subject-relevant courses in which the student is enrolled Students with Disabilities (SWD) status English Language Learner (ELL) status Gifted status Attendance Mobility (number of transitions) Difference from modal age in grade (as an indicator of retention) Classroom characteristics: Class size Homogeneity of students entering test scores in the class 12

  13. FACTORS NOT TO ADJUST PREDICTED SCORE NOT USED Student Characteristics NOT directly accounted for: Gender Race Ethnicity Socio-Economic Status These factors are not directly included in a teacher s VAM score. However, since these factors already influence a student s performance and prior performance is the predictor with the strongest weight, they are indirectly accounted for 13

  14. HOW DO THE FACTORS AFFECT THE PREDICTED SCORES AN EXAMPLE In a classroom of 25 students, every student may have a different predicted(expected) score because of the student s individual prior performance and student characteristic variables For example 2 students in the same class with the same teacher: Student A has Prior Year FCAT Reading Score of 1700 Attendance = 10 days absent Student is English Language Learner Student B has Prior Year FCAT Reading Score of 1700 Attendance = no days absent Student is NOT English Language Learner What is the expected score for each of these students ? Student A has an expected score of 1750 and Student B has expected score of 1790 14

  15. WHAT IS THE PREDICTED SCORE? 15

  16. WHAT DOES THE PREDICTED SCORE LOOK LIKE AFTER ADJUSTING FOR ATTENDANCE? 16

  17. HOW IS STUDENT LEARNING GROWTH MEASURED? 17

  18. HOW PRECISE IS THIS VAM SCORE? Precision in a VAM score is used to measure the consistency of the individual teacher VAM estimates. It is measuring how much individual teacher VAMS would change if they were computed over and over again. Example: Weighing yourself on a scale 18

  19. WHAT IS STANDARD ERROR IN A VAM SCORE? The standard error gives the uncertainty (error band) surrounding a teacher s VAM score It can be used to prevent classifying teachers when that categorization would be uncertain Standard errors will be used when classifying teachers in the lowest tier to ensure that there is a high degree confidence on this categorization 19

  20. COMPONENTS OF THE OVERALL TEACHER VAM ESTIMATES The model recognizes that there is an independent factor related to the school that impacts student learning aschool component Calculated based on the predicted and observed scores of students in the school for each grade and subject while controlling for the students and classrooms factors mentioned previously May represent the impact of the school s leadership, the culture of the school, or the environment of the school on student learning 20

  21. COMPONENTS OF THE OVERALL TEACHER VAM ESTIMATES SGIC decisions on the use of the school component The SGIC decided to include 50% of the school component in the measurement of the teacher s effectiveness By attributing a portion of the school component to the teacher in the measurement of his/her effectiveness, one recognizes that the teacher contributes somewhat to the overall school component, but there are factors imbedded in that component that are beyond his/her direct control and that he/she should not directly be held accountable for 21

  22. FLDOES CONCEPTUAL CALCULATION FOR A TEACHER VALUE-ADDED SCORE Teacher Value-Added Score is : Teacher Growth Score + 50 percent of the School Growth Score 22

  23. WHAT DOES A VAM SCORE LOOK LIKE? A VAM score represents the amount of a year s growth above or below expectation for a particular grade level and subject area. This teacher s students scored 6.250 DSS points lower than was expected -6.250 -10 -5 0 5 10 5.750 This teacher added 5.750 DSS points above the expected growth to their students 23

  24. WHY NORMALIZING TEACHER VAM SCORES IS IMPORTANT? Teachers may be teaching multiple grade levels and subject areas VAM scores are made comparable by standardizing within grade level and subject area Aggregated standardized VAM scores are converted to percentile ranks within M-DCPS to ensure comparability across grades and subject areas Percentile ranks are used for classification purposes 24

  25. WHY STANDARDIZE THE SCORES? DISTRIBUTION OF 6TH AND 7TH GRADE READING VAM ESTIMATES The graphs demonstrate that the center and spread of the VAM scores differ across grades Therefore, standardizing will ensure comparability across grade levels 25

  26. STEPS TOWARDS CONVERTING THE VAM TO PERCENTILE STANDINGS To create standardized score: 1. Subtract the mean of the distribution from the observed VAM score Grade 6 10 6.7 = 3.3 Grade 7 10 9.2 = 0.8 2. Divide the result by the standard deviation Grade 6 Grade 7 3.3 / 19.5 = 0.17 0.8 / 17 = 0.05 3. Refer the standardized score to the normal distribution to obtain the percentile standing Grade 6 Standard score of 0.17 = 57th percentile Grade 7 Standard score of 0.05 = 52nd percentile VAM Mean Stand. Dev. Standard Score Percentile Grade 6 10 6.7 19.5 0.17 57% Grade 7 10 9.2 17 0.05 52% 26

  27. TEACHER FINAL EVALUATION Teacher s Unified Summative Rating includes two components: Professional Practices - measured by IPEGS Standards 2-8 or 2-7 Quantifiable Student Data IPEGS Standard 1 Measured using a VAM score that has been converted to a percentile rank which is currently the most accurate and objective measure available that can be used to measure student growth The VAM measure takes into account multiple indicators and prior student performance to predict a teacher s value added contribution to a student s academic growth 27

  28. FLORIDAS VALUE ADDED FLORIDA S VALUE ADDED MODEL MODEL Questions 28

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