Slide1 l.jpg
This presentation is the property of its rightful owner.
Sponsored Links
1 / 34

California Standards Test and CAHSEE Correlation Use of Student Data for Targeted Preemptive Intervention PowerPoint PPT Presentation


  • 195 Views
  • Uploaded on
  • Presentation posted in: General

California Standards Test and CAHSEE Correlation Use of Student Data for Targeted Preemptive Intervention. November 1, 2006 Dr. Janis Fries-Martinez, Principal Gerardo Loera, Assistant Principal Polytechnic High School Los Angeles Unified School District 2.

Download Presentation

California Standards Test and CAHSEE Correlation Use of Student Data for Targeted Preemptive Intervention

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Slide1 l.jpg

California Standards Testand CAHSEE CorrelationUse of Student Data for Targeted Preemptive Intervention

November 1, 2006

Dr. Janis Fries-Martinez, Principal

Gerardo Loera, Assistant Principal

Polytechnic High School

Los Angeles Unified School District 2


In this presentation you will learn l.jpg

In This Presentation You Will Learn:

  • How to accurately identify 10th grade students who need intervention for the CAHSEE before they take it in the spring

  • How to identify a target group of students to strategically raise the percentage of students scoring Proficient or Above on the CAHSEE in order to meet AYP requirements

  • How to predict, with significant amount of certainty, which 10th grade students will pass and fail the CAHSEE on their initial try


No child left behind and state accountability criteria cahsee l.jpg

No Child Left Behind and State Accountability Criteria - CAHSEE

  • AYP and API are dependent in large part to CAHSEE scores

    • AYP: Annual Measurable Objectives are measured mainly by success of 10th grade students taking the CAHSEE the 1st time

  • Problem: High failure rate on CAHSEE

  • Problem: Not enough students scoring Proficient or Above on CAHSEE


Guiding questions l.jpg

Guiding Questions

  • How do we effectively target students for pre-emptive intervention for success on the CAHSEE before they initially take it?

  • How do we proactively identify students that need additional support?

  • Do we know which students are likely to pass the test or get a proficient score ?


What are passing and proficient scores l.jpg

What are Passing and Proficient Scores?

  • A passing score on the CAHSEE is:

    • 350 or greater on the English Language Arts portion of the test

      AND

    • 350 or greater on the Mathematics portion of the test

  • A proficient score is:

    • 380 or greater on the English portion of the test

    • 380 or greater on the Mathematic portion of the test


Some possible attributes contributing to success on the cahsee l.jpg

Grades/Marks

Demographics

Socioeconomic status

Learning environment

CELDT Scores

Language Classification

Special Education Status

CST Scores

Periodic Assessments

Etc.

Some Possible Attributes Contributing To Success On The CAHSEE?


Studied cst cahsee correlation at different high schools l.jpg

Studied CST/CAHSEE Correlation at Different High Schools

Test Groups:

Poly HS: Class of 2006

Poly HS: Class of 2007

Santee HS: Class of 2007

LAUSD Class of 2008 (37,000+ scores)

LAUSD Class of 2007 (36,000+ scores)


Polytechnic high school class of 2007 9 th grade ela cst vs 10 th grade ela cahsee matched scores l.jpg

Polytechnic High School Class of 2007 9th Grade ELA CST vs. 10th Grade ELA CAHSEE – Matched Scores

Note: 800+ scores included

Source: Secondary Student Information System


South la high school 1 class of 2007 9th grade ela cst vs 10th grade ela cahsee matched scores l.jpg

South LA High School #1 - Class of 2007 9th Grade ELA CST vs. 10th Grade ELA CAHSEE – Matched Scores


Lausd class of 2008 9th grade ela cst vs 10th grade ela cahsee matched scores l.jpg

LAUSD Class of 2008 - 9th Grade ELA CST vs. 10th Grade ELA CAHSEE – Matched Scores

Note: 37,000+ scores included

Source: School Information Branch


Lausd class of 2008 9th grade algebra i cst vs 10th grade math cahsee matched scores l.jpg

LAUSD Class of 2008 - 9th Grade Algebra I CST vs. 10th Grade Math CAHSEE – Matched Scores

Note: 23,282 scores included

Source: School Information Branch


Slide12 l.jpg

LAUSD Class of 2008 - 9th Grade Geometry CST vs. 10th Grade Math CAHSEE – Matched Scores

Note: 8,410 scores included

Source: School Information Branch


Slide13 l.jpg

LAUSD Class of 2007 - 9th Grade MATH CST vs. 10th Grade Math CAHSEE – Matched Scores

Note: 36,190 scores included

Source: School Information Branch


Math cahsee predictors l.jpg

Math CAHSEE Predictors


Summary of predictors l.jpg

Summary of Predictors


Ela reliability matrix for predicting passing cahsee ela score 83 4 accurate l.jpg

ELA – “Reliability” Matrix for predicting Passing CAHSEE ELA score – 83.4% accurate

Total

26985

11761

Accuracy

Therefore the model for predicting a passing score or failing score on the English portion of the CAHSEE based on the 9th grade CST is correct 83.4% of the time.

This is a Confusion Matrix as described in the work of Kohavi and Provost, 1998


Ela reliability matrix for predicting passing cahsee ela proficient or above score 84 6 accurate l.jpg

ELA – “Reliability” Matrix for predicting Passing CAHSEE ELA Proficient or Above score – 84.6% accurate

Therefore this model is correct 84.6% of the time.

This is a Confusion Matrix as described in the work of Kohavi and Provost, 1998


Algebra i reliability matrix for predicting passing cahsee math passing score 72 9 accurate l.jpg

Algebra I - “Reliability” Matrix for predicting Passing CAHSEE Math Passing score – 72.9% accurate

Therefore the model for predicting a passing or failing score on the Mathematics portion of the CAHSEE based on the 9th grade CST is correct 72.9% of the time.

This is a Confusion Matrix as described in the work of Kohavi and Provost, 1998


Slide19 l.jpg

Algebra I – “Reliability” Matrix for predicting Passing CAHSEE Math Proficient or Above score – 85.1% accurate

Therefore the model for predicting a score on the Mathematics portion of the CAHSEE based on the 9th grade CST is correct 85.1% of the time.

This is a Confusion Matrix as described in the work of Kohavi and Provost, 1998


Geometry reliability matrix for predicting passing cahsee math passing score 88 7 accurate l.jpg

Geometry - “Reliability” Matrix for predicting Passing CAHSEE Math Passing score – 88.7% accurate

Therefore the model for predicting a passing score or failing score on the Mathematics portion of the CAHSEE based on the 9th grade Geometry CST is correct 88.7% of the time.

This is a Confusion Matrix as described in the work of Kohavi and Provost, 1998


Slide21 l.jpg

Geometry – “Reliability” Matrix for predicting Passing CAHSEE Math Proficient or Above score 82.1% accurate

Therefore the model for predicting a Proficient or Above score on the Mathematics portion of the CAHSEE based on the 9th grade Geometry CST is correct 82.1% of the time.

This is a Confusion Matrix as described in the work of Kohavi and Provost, 1998


Math all reliability matrix for predicting passing score on cahsee math 72 7 accurate l.jpg

Math (ALL) - “Reliability” Matrix for predicting Passing score on CAHSEE Math – 72.7% accurate

Therefore the model for predicting a passing score or failing score on the Mathematics portion of the CAHSEE based on the 9th grade Math CST is correct 72.7% of the time.

This is a Confusion Matrix as described in the work of Kohavi and Provost, 1998


Slide23 l.jpg

Math (ALL) – “Reliability” Matrix for predicting Passing CAHSEE Math Proficient or Above score 81.5% accurate

Therefore the model for predicting a Proficient or Above score on the Mathematics portion of the CAHSEE based on the 9th grade Math CST (regardless of which CST test was taken such as Algebra I, Geometry, General Math etc.) is correct 81.5% of the time.

This is a Confusion Matrix as described in the work of Kohavi and Provost, 1998


Summary of predictors24 l.jpg

Summary of Predictors


Deciding which students to target possible action plans for applying the ela model l.jpg

Deciding Which Students To Target – Possible Action Plans For Applying the ELA Model

  • For Program Improvement Schools:

    • A Review of the 2006 AYP Progress Report needs to be made in order determine which subgroups, if any, fell short of meeting the Annual Measurable Objectives (AMO)

      • Recall that the AMOs are directly associated with the percentages of 10th grade students that score Proficient or Above on the ELA and Math portions of the CAHSEE


Deciding which students to target possible action plans for applying the ela model26 l.jpg

Deciding Which Students To Target – Possible Action Plans For Applying the ELA Model

  • For Program Improvement Schools (cont.):

    • Once a subgroup has been identified, an SSIS extract can be performed to create a list of students needing pre-intervention

      • The extract should produce a list of 10th grade students that scored less than a 346 on their English 9th Grade CST. This list should be sorted in decreasing order by their English 9th Grade CST scaled score.


Deciding which students to target possible action plans for applying the math model l.jpg

Deciding Which Students To Target – Possible Action Plans For Applying the Math Model

  • For Program Improvement Schools (cont.):

    • Once a subgroup has been identified, an SSIS extract can be performed to create of list of students needing pre-intervention

      • The extract should produce a list of 10th grade students that scored less than a 326 on their Math 10th Grade CST. This list should be sorted in decreasing order by their Math 9th Grade CST scaled score.


Deciding which students to target possible action plans for applying the ela model28 l.jpg

Deciding Which Students To Target – Possible Action Plans For Applying the ELA Model

  • For Program Improvement Schools (cont.):

    • The resulting lists are prioritized lists of students that will benefit from pre-intervention and would most likely not score a Proficient or Above on the CAHSEE without additional support.


Deciding which students to target possible action plans for applying the predictive model l.jpg

Deciding Which Students To Target – Possible Action Plans For Applying the Predictive Model

  • How to identify 10th grade students that will probably fail one or both parts of the CAHSEE?

    • Perform an SSIS extract for 10th Grade students that scored less than a 268 on their 9th Grade Math CST

    • Perform an SSIS extract for 10th grade students that scored less than a 292 on their 9th Grade English CST


Deciding which students to target technical assistance l.jpg

Deciding Which Students To Target –Technical Assistance

  • Cynthia Lim in the LAUSD School Information Branch has offered to provide schools with technical support on identifying students at-risk of not passing the CAHSEE or not getting a Proficient or Above score.

    [email protected]


Cahsee preemptive intervention case study polytechnic high school 2006 l.jpg

CAHSEE Preemptive Intervention Case Study – Polytechnic High School 2006

  • Master schedule permitted for approximately 170 seats for CAHSEE preemptive intervention in Spring of 2006

  • Selected a window of scores predicted to be 300-370

  • Based on student performance this resulted in a target range as follows:

    For ELA: CSTs of 212 - 328

    For Math: CSTs of 164 - 308


Cahsee preemptive intervention case study polytechnic high school 2006 results l.jpg

CAHSEE Preemptive Intervention Case Study – Polytechnic High School 2006 - Results

  • On average, non prepped 10th Graders matched the predicted values.

  • Math predicted mean score: 347.5

  • Math actual mean score: 348.5

  • ELA predicted mean score: 353.0

  • ELA actual mean score: 352.2


Cahsee preemptive intervention case study polytechnic high school 2006 results33 l.jpg

CAHSEE Preemptive Intervention Case Study – Polytechnic High School 2006 - Results


Cahsee preemptive intervention case study polytechnic high school 2006 results34 l.jpg

CAHSEE Preemptive Intervention Case Study – Polytechnic High School 2006 - Results

  • CAHSEE Preemptive intervention works!

  • Preparation was a cost effective means of positively impacting the study group.


  • Login