Department of Mathematics and Science Millard E. Lightburn, Ph.D. District Science Supervisor Mary Tweedy, Noreyda Casañas, Daniel Gangeri Curriculum Support Specialists DATA ANALYSIS GRADE K-5 Elementary Science Liaisons and Coaches iCAD Session 1 (Sept 2014)
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Department of Mathematics and Science
Millard E. Lightburn, Ph.D.District Science Supervisor
Mary Tweedy, Noreyda Casañas, Daniel Gangeri
Curriculum Support Specialists
DATA ANALYSIS GRADE K-5 Elementary Science Liaisons and
Coaches iCAD Session 1 (Sept 2014)
Data can…provide feedback on the past andprovide a basis to begin planningfor the future
What Kind of Information can Data Provide us?
Department of Mathematics and Science
IMPORTANCE OF DATA
• Facilitate a clear understanding of the gaps between where the school or class is and where it wants to be.
• Show if school or class goals and objectives are being accomplished.
• Predict and prevent failures.• Predict and ensure successes.• Establish foundation for Continuous School
Improvement/SIP.• Data drives instruction, and professional
development.
Department of Mathematics and Science
Effective Use of Classroom Data
TeachingUsingResults
Planning
StudentLearning
Assessing
Source: Dr. Yuwadee Wongbundhit
• GRADE K-5 BASELINE AND PRETEST ASSESSMENT RESULTS (2014-2015)
DATA DISAGGREGATION
Department of Mathematics and Science
Science Pretest Results K-5 (MDCPS 2013-2014)GRADE Students
Tested% Below Mastery
% At Mastery
Average Performance
KINDERGARTEN 2013 2014
9,5094,462
58%60%
42%40%
62%61%
FIRST 2013 2014
10,2495,657
90%88%
10%12%
47%48%
SECOND 2013 2014
11,5656,020
80%78%
20%22%
51%53%
THIRD 2013 2014
13,2696,784
96%96%
4%4%
41%43%
FOURTH 2013 2014
12,5636,760
94%95%
6%5%
44%45%
FIFTH 2013 2014
22,67221,681
93%92%
7%8%
46%48%
Elementary Science Pretest Performance by Reporting Category (2013-2014)
GRADE LEVEL
LIFE SCIENCE
PHYSICALSCIENCE
EARTH & SPACE
NATURE OF SCIENCE
KINDER 62% 66% 59%
FIRST 53% 51% 42%
SECOND 49% 55% 47%
THIRD 37% 44% 50% 29%
FOURTH 2013 2014
49%49%
47% 42%34%
37%
FIFTH 2013 2014
45%47%
52%54%
43%45%
36%38%
Your thoughts…..• What reporting category do you think showed
the highest performance? Why?• What reporting category do you think showed
the lowest performance? Why?• How do you think the students performed on
the Fair Game benchmarks? Do you think they performed better than last year?
Comparison of Grade 5 Baseline Results 2012 and 2013
Grade 5 Science Assessments Calendar(2014-2015)
Baseline: August 18 – Sept 5, 2014 Fall IA: Oct 27 – November 14, 2014 Winter IA: Jan 26 - February 13, 2015
FCAT 2015: (April 13 - May 8, 2015)
Assessments• Interim Assessments (IA) for Grade 5
(All benchmarks will be assessed on Gr 5 Baseline, Fall and Winter assessments)
• Quarterly Science Benchmark Assessments (QSBA) for Grades K- 4 will assess benchmarks covered in each quarter: Quarters 1, 2, 3, 4
• QSBA for K-4 will be administered at the end of each grading period.
• QSBA Quarter 1 Admin window: Oct 27 – Nov 14, 2014 Available: First QSBA available October 22, 2014
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Department of Mathematics and Science
• Grade 5 Science Interim cut scores are based on statistical regression analysis between students performance on Interim Assessment and scale scores on 2012 FCAT 2.0:
• Fall IA satisfactory cut score: 51% or higher• Winter IA satisfactory cut score: 53% or higher• (Cut Scores)• Baseline Proficiency Level: 70%
Gr. 5 Science Interims Cut Scores
Department of Mathematics and Science
Your thoughts…..• What reporting category do you think showed
the highest performance? Why?• What reporting category do you think showed
the lowest performance? Why?• How did our performance compare to the