Presentation is loading. Please wait.

Presentation is loading. Please wait.

SELECTING DATA FIELDS FOR IMPROVEMENT Local Presentation.

Similar presentations


Presentation on theme: "SELECTING DATA FIELDS FOR IMPROVEMENT Local Presentation."— Presentation transcript:

1 SELECTING DATA FIELDS FOR IMPROVEMENT Local Presentation

2 Session 3: Achievement Data Steering Team / Community Council / Full Faculty / Student Body 2 Vision Data 1 VISION 6 Strategies Selection 7 STRATEGY PLANS Implementation Steps Professional Development Anti-Resistance Evaluation 3 Current Data 4 Data Target 8 ACTION 5. Areas of Concern Guidance TeachingEnvironment Expectations Curriculum Content School PolicyHigh Expectations Relationship InstructionBehavior Management Clear Definitions Assessment Student Assistance Communication Extra Help / TimeParent Involvement Community Involvement Resources Collegiality Professional Development

3 Why set data targets? To help us determine where to focus our time, energy, and resources.

4 TODAY’S TASKS Part 1:Analyze data Part 2:Understand data fields Part 3:Decide which data fields to target

5 Step 1: ANALYZE CURRENT DATA

6 Analysis Questions 1.How does our current data compare to our vision data? 2.What data fields please you? 3.What data fields disturb you? 4.What evidence (if any) do you find of achievement gaps? 5.How do teacher grades compare to achievement tests scores?

7 Population Freshmen Students Passing English 9 #% All Students 28427195 Female 13112797 Male 15314494 Free/Reduced Lunch 837793 Paid Lunch 20119497 Special Ed - IEP 666497 General Ed 21820795 PRACTICE: Class of 2006 – English 9

8 Population Total Test Takers Passing ISTEP Language Arts #% All Students27720173% Female13410075% Male14310171% Free/Reduced Lunch825061% Paid Lunch19114978% Special Ed - IEP582034% General Ed21918183% PRACTICE: Class of 2006 – 10th ISTEP Eng

9 Task 1: Current Data Analysis 1.Individual Place sticky-notes on the poster provided to reflect your response to these questions: a.How does our current data compare to our vision data? b.What data fields concern you? c.What data fields please you? d.What evidence (if any) do you see of achievement gaps? e.How do teacher grades compare to achievement test grades? 2. Group Discuss the sticky notes FINISH – 11:15 Break as Needed

10 Step 2: THINKING IT THROUGH

11 Two parts: 1. STUDENT GROUP (Who will improve?) 2. BENCHMARK (Level of performance?) Format: The data field is always expressed as a % % of (student group) who (benchmark) Example: % of 8th graders who pass 2 sem of Algebra I % of Class of 2017 who master reading vocab on ISTEP % of 9th graders who pass 2 sem of Biology. What is a data field?

12 The student group will result in “Trend” or “Vertical” Data TREND: % of ____ graders who __________. VERTICAL: % of the class of ____ who _________.

13 Specific Data Fields The achievement areas that: 1.Help us determine the degree to which specific instructional practices or strategies are working 2.Help us make decisions regarding the future ------------------------------------------------------- Specific Student Groups Low Income students Special education students Class of 2011 Specific Benchmarks Specific Indiana Academic Standard Specific courses Specific classroom assessment

14 Examples of Specific Data Fields STUDENTSBENCHMARK % of9th GraderswhoPass 2 sem of Alg I % of5th Graderswho Earn rubric score of 3 on in- class paragraph assignment % of 11th Grade Girls whoPass 2 sem of Chem I % of 3rd Grade F/R Students who Score an 80% on the 3rd grade vocab quiz % ofClass of 2018who Master Indiana Reading Comprehension Standard

15 Link to BROAD Data Fields STUDENTSBENCHMARKBROAD % of 9th Graders who Pass 2 sem of Alg I10th ISTEP Math % of 5th Graders who Earn 3 on in-class para. assignment NCA Goal: Writing Across Curriculum % of 11th Graders who Pass 2 sem of Chem ICore 40 % of 2nd Graders who Score an 80% on the 2nd grade vocab quiz 3rd ISTEP Eng % of Class of 2018 who Master Indiana Read Comp Standard ALL ISTEP Eng

16 If starting with the broad data field, work it backwards! STUDENTSBENCHMARKBROAD % ofwho 10th ISTEP Eng % ofwho Core 40 Diploma % ofwho Writing Across Curriculum % ofwho 3rd ISTEP Eng % ofwho ALL ISTEP Eng

17 THINGS TO CONSIDER

18 Consider Accountability Data Fields NCLBDOE * % of students passing ISTEP Math % of students passing ISTEP Eng % graduating (HS only) % graduates scoring ___ on AP tests % graduates earning ___ on End-of-Course tests % graduates earning Core 40 diploma %graduates earning Academic Honors Diploma * For high school placement in top two DOE categories

19 Consider School’s AYP Report on DOE Website

20 Consider InSAI Data Field Requirements 1 % of all ISTEP tests across grade levels that area passing (BROAD) 2At least one SPECIFIC data target 3 At least one STUDENT GROUP showing an achievement gap

21 Consider NCA Goals 1 2 3

22 Data Fields for Improvement in our Current School Improvement Plan STUDENT GROUP BENCHMARK

23 Step 3: DECIDE WHICH DATA FIELDS TO TARGET

24 CONSENSUS TOOL – INSTAGRAPH 1.STEP ONE: PREPARE THE INSTAGRAPH a. Write your current data targets on the X axis Note: Broad data fields must have specific data fields listed below them. b.Add other specific data fields you would like to consider with one or more broad data fields above each. FORMAT: % _________ who _________

25 CONSENSUS TOOL - INSTAGRAPH 2.STEP TWO: BUILD THE GRAPH a. Divide the number of possible specific data fields by three. b.Each group member places that number of sticky-dots above the specific data fields on the graph to indicate the data fields he or she would like to address c. As a group, identify the specific data field(s) you’d like to address

26 Next Steps Steering Team will... 1.Recommend data fields based on input from the faculty, community and students. 2.Recommend data fields and data targets 3.Ask you to review their recommendations

27 THANK YOU!


Download ppt "SELECTING DATA FIELDS FOR IMPROVEMENT Local Presentation."

Similar presentations


Ads by Google