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Boone Central Data In- service January 4 th 2011

Boone Central Data In-service

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Boone Central Data In-service. January 4 th 2011. “ Without data, you ’ re just another person with an opinion. ”. Scott Ebbrecht, Principal in Westernville, Ohio. Aim of the District. District Goals & Measures. Random Acts of Improvement. Aim of the District. District Goals & Measures. - PowerPoint PPT Presentation

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Page 1: Boone Central Data In-service

Boone Central Data In-service

January 4th 2011

Page 2: Boone Central Data In-service

“Without data, you’re just another person with an opinion.”

Scott Ebbrecht, Principal in Westernville, Ohio

2

Page 3: Boone Central Data In-service
Page 4: Boone Central Data In-service
Page 5: Boone Central Data In-service

District Goals& Measures

Aim of theDistrict

Random Acts of Improvement

Page 6: Boone Central Data In-service

District Goals & Measures

Aim of theDistrict

Aligned Acts of Improvement

Page 7: Boone Central Data In-service

Teachers were asked “To what attribute do you attribute the lack of achievement of

your students?”

• Some teachers indicated characteristics of students, lack of motivation, their parents, socioeconomic status, etc.

• Some teachers indicated things that teachers do, looking at their skills.

• Students taught by teachers who were concerned about teacher skills achieved 3 times higher than those whose teachers cited student characteristics.

Page 8: Boone Central Data In-service

The Real Question

• What is it that WE are doing that might contribute to these results?

• The objective here is to reflect about our

practices and determine where WE can

improve what WE do.

Page 9: Boone Central Data In-service

Problem or Condition

• A “problem” is something we can do something about, so we can focus time and energy in that direction.

• A “condition” is something that we cannot do anything about—we acknowledge it and go around it, but we do not waste time trying to change it.

Page 10: Boone Central Data In-service

For Example…

• Through disaggregation we find students from single parent families are not reading at grade level by 3rd grade.

• Coming from a single parent family is a condition.• Reading below grade level is a problem.• Strategies and interventions can be implemented

based on the condition.– Establish a mentor program.– Create a before or after school program.

Page 11: Boone Central Data In-service

Some Ground Rules

• Don’t blame kids; it is not their fault.• Don’t use kids as excuses.• Don’t blame teachers.• Data is just information about the current state of

affairs.• These are our students.• The real question is “What are we going to help our

students learn.”

Page 12: Boone Central Data In-service

continuous improvement

•members of an organization acquire and use information to change and implement action

Page 13: Boone Central Data In-service

use data to:

•ask the right questions•define needs•plan interventions•evaluate progress

Page 14: Boone Central Data In-service

viewing data

•program•cohort•individual student

Page 15: Boone Central Data In-service

Program DataGrade 4 Math Problem Solving

0.0%20.0%40.0%60.0%80.0%

100.0%

2000-01

2001-02

2002-03

2003-04

2004-05

2005-06

Math problem

Page 16: Boone Central Data In-service

Cohort DataWriting Scores Class of 2006-07

0.0%

20.0%

40.0%

60.0%

80.0%

100.0%

2nd 3rd 4th 5th 6th 7th 8th

writing

Page 17: Boone Central Data In-service
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Data Driven Dialogue

• Phase I: Predictions• Phase II: Observations• Phase III: Inferences

Page 20: Boone Central Data In-service

Data Driven Dialogue

• Determine in your teams what data you will be looking at.

• Progress through the dialogue into Phase III when appropriate.

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Data Driven Dialogue

• Grade Band or Subject Area Data Teams– PK-1, 2-3 and 4-5– Language Arts, Math, Science, Social Studies and

Career & Technical Education

Resource, PE, Music, and Art:• Split up evenly into the above groups

(an outside and possibly broader perspective)

Page 22: Boone Central Data In-service

Data Driven Dialogue

• Determine in your teams what data you will be looking at.

• Progress through the dialogue into Phase III when appropriate.

GROUPS:K-1, 2-3, 4-5, LA, Math, Science, SS, Career & Tech Ed

NeSA, NWEA, State of the Schools

Report, DIBELS, others needed?

Page 23: Boone Central Data In-service

BUBBLE STUDENTS

Page 24: Boone Central Data In-service

Bubble Student Defined

A score determined to be approximately:

3-4 questions below or

2-3 questions above

a proficient or grade level score.

Page 25: Boone Central Data In-service

Bubble Student Defined

NeSA - RM– 135-200 Exceeds– 85-134 Meets– 0-84 Does Not Meet

• Bubble Set @ 90-72 (+5 & -8)

NeSA – W– 4.0-8.0 Meets– 0-3.99 Does Not Meet

• Bubble Set @ 5.0-3.0

Page 26: Boone Central Data In-service

Bubble Student Defined

NWEA MAP– +2 and -5 of the National Norms

• National Norm is determined by mean (average) score at that grade level for that time of year (fall, winter, spring).

Blue – Exceeds NeSA, Above Bubble MAPGreen – Meets NeSAYellow – Bubble Students (NeSA & MAP)Red – Does Not Meet NeSA, Below Bubble MAP

Page 27: Boone Central Data In-service

Data Analyzer

• Went back 2 years• We set the cut scores• We can add demographics or alter inputs• We can get more detailed as needed

This is a starting point.

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Pick 3

• Each teacher picks 2-3 Bubble Students.• Help them within your abilities, but outside

the normal classroom routine. – Utilize Data

• Content Specific • Skill Improvement

– Motivator– Ideas?

• NeSA is the first priority