data project: using data to make decisions edl 630a
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DATA Project: Using Data to make decisions Edl 630a. Holly Cronin. A B urning Q uestion…. Does the special education subgroup fail to meet AYP in Elementary School X? - PowerPoint PPT PresentationTRANSCRIPT
DATA PROJECT:USING DATA TO MAKE DECISIONSEDL 630A
Holly Cronin
A Burning Question…
Does the special education subgroup fail to meet AYP in Elementary School X?• If so, by what percentage could a district
increase the proficiency of special education students in order to meet AYP in anyone one of the four ways?
• Is there a correlation between the performance of special education students in reading and math?
Research of Burning Question: Important of AYP
“No Child Left Behind requires that each state establish an accountability plan calling for all students to meet required levels of academic performance by the 2013-2014 school year” (Sorrentino and Zirkel, 2004).
“Schools must show they are making ‘adequate yearly progress,’ (AYP), toward the goal of all students achieving proficiency in mathematics and reading/language arts by the year 2014” (Choi, 2007).
Research of Burning Question:Conflicting Message of AYP
“Most accountability tests end up measuring what students bring to school, not what they learn once they arrive” (Popham, 2010).
“Some schools that failed to meet AYP who were making exceptional progress, relative to the district, for their average and above-average initial status students. These successes were masked by their AYP designation” (Choi, 2007).
Research of Burning Question:Moving Forward
“Schools already constrained by limited resources…will have to develop innovative strategies to meet the conflicting mandates of NCLB, IDEA, and 504” (Sorrentino and Zirkel, 2004).
School districts need resources to develop these innovate strategies.
DATA
What data can we use to answer these questions?
A look at the history of one school’s (referred to as Elementary School X) subgroups’ performance.
AYP projected percentages for current 6th Grade Students (based on their 5th grade data).
A closer look into the performance of students in a the special education subgroup.
A correlation between reading and math performance.
DATA: History of Subgroup’s Performance
History of Subgroup’s Percent Proficient or Above at Elementary School X in Reading and Math from the
2006-2011 school years.
Elementary School X: AYP Results from 2011-2012
2010-11 Weighting Method Based on U.S. Department of Education
Column 1 Column 2 Column 3 Column 4 Column 5 Column 6 Column 7
GRADE
# of Students Taking the Test (Required Test
Type = STR or ALT with a valid Raw or
Scaled score)
# of Students that Scored at or Above the
Proficient levelon the Test (both STR and ALT)
2010-11 Percent Proficient
Target Percent Proficient
Difference between Percent
Proficient and Target Percent
Proficient
Percent of students taking
assessment enrolled in each
grade
Weighted AYP proficiency
(Column2/Column1) (Column3-Column4)
(Column1/Total taking)
(Column5xColumn6)
Math Assessment 2010-11Grade 3 24 12 50.0 76.4 -26.4 1.00 -26.400000Grade 4 28 13 46.4 80.3 -33.9 1.17 -39.516667Grade 5 27 11 40.7 69.8 -29.1 1.13 -32.691667Grade 6 22 19 86.4 73.1 13.3 0.92 12.158333Grade 7 0 0 68.4 Grade 8 0 0 68.5 Grade 10 0 0 76.0 Grade 3-8+10 Total 24 -86.5 If H14>=0 then
AYP=METNot Met
Reading Assessment 2010-11
Grade 3 24 10 41.7 82.7 -41.0 1.00 -41.033333Grade 4 28 16 57.1 81.0 -23.9 1.17 -27.883333Grade 5 27 15 55.6 81.0 -25.4 1.13 -28.625000Grade 6 22 15 68.2 85.5 -17.3 0.92 -15.875000Grade 7 0 0 81.2 Grade 8 0 0 84.3 Grade 10 0 0 83.1 Grade 3-8+10 Total 24 -113.4
If H24>=0 then
AYP=METNot Met
AYP Projected Percentages2010-11 Weighting Method Based on U.S. Department of Education
Column 1 Column 2 Column 3 Column 4 Column 5 Column 6 Column 7
GRADE
# of Students Taking the Test (Required Test
Type = STR or ALT with a valid Raw or
Scaled score)
# of Students that Scored at or Above
the Proficient levelon the Test
(both STR and ALT)
2010-11 Percent Proficient
Target Percent Proficient
Difference between Percent
Proficient and Target Percent
Proficient
Percent of students taking
assessment enrolled in each
grade
Weighted AYP proficiency
(Column2/Column1)
(Column3-Column4)
(Column1/Total taking)
(Column5xColumn6)
Math Assessment 2010-11Grade 3 0 0 76.4 Grade 4 0 0 80.3 Grade 5 0 0 69.8 Grade 6 24 7 29.2 73.1 -43.9 1.00 -43.933333Grade 7 0 0 68.4 Grade 8 0 0 68.5 Grade 10 0 0 76.0 Grade 3-8+10 Total 24 -43.9 If H14>=0 then
AYP=METNot Met
Reading Assessment 2010-11
Grade 3 0 0 82.7 Grade 4 0 0 81.0 Grade 5 0 0 81.0 Grade 6 24 12 50.0 85.5 -35.5 1.00 -35.500000Grade 7 0 0 81.2 Grade 8 0 0 84.3 Grade 10 0 0 83.1 Grade 3-8+10 Total 24 -35.5
If H24>=0 then
AYP=METNot Met
Projected Percentages to Meet AYPin 6th Grade Math/Reading
There are 4 ways that a school can reach AYP1. Meet Expectations: Reaching Target
Proficient Percentage2. 2-Year Average3. Safe Harbor:10% or greater reduction in
Non-Proficient 4. Growth Calculation
Reading 40% of 27 students = 11 students. Meaning at least 16 students need to reach proficient Math 60% of 27 students = 16 students. Meaning at least 11 students need to reach proficient.
Projected Percentages to Meet AYPin 6th Grade Math/Reading
The percentage of proficient special education students currently in 6th grade is 50%. In order to meet AYP based on… Meeting Expectations: needs
to increase by30.5% to reach target of 85.5%
Safe Harbor: 40% of 27 students can be non-proficient so that means at least 16 students need to reach proficient.
The percentage of proficient special education students currently in 6th grade is 29.2%. In order to meet AYP based on… Meeting Expectations: needs
to increase by 43.9% to reach target of 73.1%
Safe Harbor: 60% of 27 students can be non-proficient. That means at least 11 students need to reach proficient.
Reading Math
Special Education Subgroup Performance
Informational Text Literary Text Reading Process Acquisition of
Vocabulary
Number Sense Geometry and
Spatial Sense Measurement Patterns, Functions
and Algebra Data Analysis and
Probability
Reading Standards Math Standards
Special Education Subgroup Performance: Reading
50%
13%
38%
Informational Text: Special Ed Subgroup
AT ABOVE BELOW
Special Education Subgroup Performance: Reading
54%
25%
21%
Literary Text: Special Ed Subgroup
AT ABOVE BELOW
Special Education Subgroup Performance: Reading
25%
25%
50%
Reading Process: Special Ed Subgroup
AT ABOVE BELOW
Special Education Subgroup Performance: Reading
54%
8%
37%
Aquisition of Vocabulary: Special Ed Subgroup
AT ABOVE BELOW
Special Education Subgroup Performance: Math
29%
4%67%
Special Ed Subgroup: Math-Number Sense
ABOVE AT BELOW
Special Education Subgroup Performance: Math
50%
4%
46%
Special Ed Subgroup: Math-Geometry&Spatial Sense
ABOVE AT BELOW
Special Education Subgroup Performance: Math
12%
8%
79%
Special Ed Subgroup: Math-Measurement
ABOVE AT BELOW
Special Education Subgroup Performance: Math
29%
4%67%
Special Ed Subgroup: Math-Patterns, Function & Algebra
ABOVE AT BELOW
Special Education Subgroup Performance: Math
42%
8%
50%
Special Ed Subgroup: Math-Data and Probability
ABOVE AT BELOW
Reading and Math Correlation
0 10 20 30 40 50 60 70 80 900
20
40
60
80
100
120
f(x) = 0.660804237867226 x + 16.9597881066387R² = 0.436662240783284
Predicting Math Scores with Reading Scores
Mth NCELinear (Mth NCE)
Reading NCE Scores
Math
NC
E S
core
s
Integrating Reading and Math “By taking advantage of some natural
parallels between reading and mathematics, teachers can enhance students’ learning of individual content areas and their ability to make generalizations across them” (Halladay & Neumann, 2012).
One of those parallels is comprehension strategies:
“We want students to make predictions, monitor understanding, determine importance, and make connections” (Halladay & Neumann, 2012).
Integrating Reading and MathCommon Language
Metacognition Schema Determining
Importance Inferences Connections Synthesis
Monitor Understanding throughout the problem.
Have you seen a problem like this before?
What information do you need to solve the problem?
Predictions for answers. Apply problem to real-world
Does your answer make sense?
Comprehension Strategies
Problem Solving Skills
Critiques of Integrating Content Areas
If a common language is not in place this may confuse students when trying to integrate the subjects.
There are “some concerns about too much integration” (Glatthorn & Jailall, 2009). It is important that teachers work together in order to create a comprehensive integrated unit. There have often been units that were poorly designed and loosely connected (Glatthorn & Jailall, 2009).
In order to prevent “poorly designed and loosely connected” units, collaboration amongst teachers becomes critical.
Conclusions
Special Education students historically struggle to meet AYP at Elementary School X.
Meeting AYP by the Safe Harbor expectation is the most probable way for Elementary School X to meet AYP.
There is a correlation between reading and math scores 43% of the math scores can be predicted
based on their reading scores
Next Steps…
What percentage do the other grade levels need to shoot for in order to meet AYP?
Do the teachers need to alter their curriculum maps based on their special education students’ breakdown of standards?
More time on units compared to others? Resources needed to meet the needs of that unit?
Who do the teachers need to collaborate with in order to create more integrated math and reading classrooms?
What resources do they need to have these conversations?
Citations
Choi, K. (2007). Children Left Behind in AYP and Non-AYP Schools: Using Student Progress and the Distribution of Student Gains to Validate AYP. Educational Measurement: Issues and Practice, p. 21-32
Glatthorn, A. A., & Jailall, J. M. (2009). The Principal as Curriculum Leader: Shaping what is Taught and Tested. Thousand Oaks: Corwin Press.
Halladay, J. L., & Neumann, M. D. (2012). Connecting Reading and Mathematical Strategies. The Reading Teacher, 471-476.
Measure Up Ohio. Retrieved on November 5, 2012. http://measureup.edresourcesohio.org/ayp.php
Popham, J.W. (2010). Everything School Leaders Need to Know About Assessment. Thousand Oaks, CA: Corwin.
Sorrentino, A., & Zirkel, P. (2004). Is NCLB Leaving Special Education Students Behind? National Association of Elementary School Principals, p26-29