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Millard E. Lightburn, Ph.D. District Science Supervisor

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Presentation on theme: "Millard E. Lightburn, Ph.D. District Science Supervisor"— Presentation transcript:

1 Millard E. Lightburn, Ph.D. District Science Supervisor
ELEMENTARY SCIENCE COACHES and LEADERS DIALOGUE SESSION 2 (Oct 11-15, 2010) By Millard E. Lightburn, Ph.D. District Science Supervisor Mary Tweedy, CSS Glenda Moton, CSS 10/11-10/15/10

2 NORM Participate actively Ask questions Learn by doing
Set your own learning into action 10/11-10/15/10

3 AGENDA Data Analysis: Overview
(Baseline comparison, debriefing protocol) Activity #1”Sweet Observations” Analysis of Appendix B FCAT 2.0 and Items Specs Activity #2 Optical Experience What is Energy and 5 E’s Model Activity #3 Testing different variables Evaluation/Follow-up 10/11-10/15/10

4 Acrostic An acrostic is a verse or arrangement of words in which certain letters of each line, such as the first letter, spell out a word. Here is one for ROSE: Reads many books Outgoing Smiles a lot Enthusiastic (Try one for the word DATA) 10/11-10/15/10

5 ACROSTIC for DATA DISPLAYED INFORMATION ASSESS PROGRESS
TOOL USEFUL TO TEACHERS & ADMINISTRATORS ACCOUNTABILITY TOOL 10/11-10/15/10

6 WAYS DATA ARE USED Gallery Walk
List 2 Ways School Administrators use data List 2 Ways Teachers use data List 2 Ways the District uses data List 2 Ways Legislators use data How can we build a culture of data analysts at our schools. 10/11-10/15/10

7 IMPORTANCE OF DATA Facilitate a clear understanding of the gaps between where the school is and where it wants to be. Show if school goals and objectives are being accomplished. Predict and prevent failures. Predict and ensure successes. Establish foundation for Continuous School Improvement . Data should drive instruction and professional development 10/11-10/15/10

8 Florida Continuous Improvement Model
The Plan, Do, Check, Act process comes from TQM. It requires planning, implementation, assessment of success and revision. It is often referred to as PDCA. 10/11-10/15/10

9 The secret of data analysis is
Pattern Recognition The secret of data analysis is pattern recognition. Hidden Pictures 10/11-10/15/10

10 Data Disaggregation Activity
Compare your School Performance on Grade 5 Baseline Assessment to the District Performance Your Weakest Benchmarks: Your Strongest Benchmarks: EDUSOFT Reports ( Class List, Performance Band and answer key) (EDUSOFT) 10/11-10/15/10

11 2010 Grade 5 Baseline Assessment
10/11-10/15/10

12 Activity # 1 Sweet Observations
Quantitative and Qualitative Observations 10/11-10/15/10

13 Analysis of Appendix B FCAT 2.0
Fair Game concept What benchmarks covered in Grade 3 are assessed in Grade 5? What benchmarks covered in Grade 4 are annually assessed? Are they covered in Gr 5? Benchmarks not assessed on FCAT 2.0 should be assessed through classroom instruction. 10/11-10/15/10

14 Activity # 2 Optical Experience
10/11-10/15/10

15 What is Energy? Demonstrate the use of 5 E’s Instructional Model through a lesson (Exploring Sound). 10/11-10/15/10

16 Activity # 4 The Mysterious M&M
In this activity you will use science process skills and also test different variables. 10/11-10/15/10

17 Accessing online Resources
Science Website Pacing Guides Florida Sunshine State Standards Scott Foresman 10/11-10/15/10

18 Announcements Dade County Science Teachers' Association (DCSTA) Fall meeting (October 13 at Miami Science Museum) (5:00 – 7:00 pm) Grant to participate at national science meetings. Professional Development Schedule ( ) SATURDAY SESSIONS (Cohort)(Booker T. SHS) WEEKDAY SESSIONS (Pinecrest Elementary) AIMS materials distribution Oct 12 (Jesse McCrary Regions 1,2,3) 10/11-10/15/10

19 3-2-1 REFLECTIONS 10/11-10/15/10

20 Follow Up Prepare a presentation to discuss with your department what you have learned at this workshop. Use the follow-up form provided. It must be signed by your administrator. Can be submitted via to or via school mail to 9628 10/11-10/15/10

21 Follow-up form 10/11-10/15/10


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