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DATA TEAMS Revisiting the Past and our Future
23

Presentation october data team 2012 1

Jul 12, 2015

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Page 1: Presentation october data team 2012 1

DATA TEAMS

Revisiting the Past and our Future

Page 2: Presentation october data team 2012 1

PRESENTATION OVERVIEW

Data Team Overview

Break-out into Data Teams

NWEA Nuts and Bolts

Looking at Fall NWEA Results

Announcements

Page 3: Presentation october data team 2012 1

QUOTE

“Data are to goals what signpost are to travels: data are not end

points, but are esential to reaching them-the signpost on the road to

school improvement. Thus, data and feedback are interchangeable

and should be an essential feature of how schools do business.”

(Schmoker, 1999)

Page 4: Presentation october data team 2012 1

DATA WISE

Page 5: Presentation october data team 2012 1

RECOMMENDATION 1

Make data part of an ongoing cycle of instructional improvement

• State (STAR, CAHSEE, Coming soon “SMARTER BALANCED”)

• District (PWA, NWEA, Attendance, Suspensions)

• Classroom (Quizzes, Test, Performance Tasks, Formative and

Summative Assessments)

Page 6: Presentation october data team 2012 1

CHARACTERISTICS OF

INTERIM ASSESSMENTS

Administered routinely

Administered in a consistent manner

May be commercial or developed in-house

May be administered on paper or a computer

Maybe be scored by a computer or a person

Page 7: Presentation october data team 2012 1

EXAMPLES OF CLASSROOM

AND OTHER DATA

Curriculum-based unit tests

Class projects

Classwork and homework

Records form parent meetings and phone calls

Classroom behavior charts

IEP

Prior data from students’ cumulative folders

Page 8: Presentation october data team 2012 1

RECOMMENDATION 1

DuFour’s Guiding Questions in a Data Meeting?

• What do we want ALL STUDENTS to know?

• State Standards, Learning Objective, Key Points, Essential Questions

• How do we know when they know it?

• Universal Screening (NWEA/PWA) & Progress Monitoring

• Teacher Developed Formative Assessments

Page 9: Presentation october data team 2012 1

RECOMMENDATION 1

• What do we do if they don’t know it?

• Assess background knowledge prior to instruction

• Analyze the amount of attention given to a standard. Is it a focus standard?

• Analyze the strategies use to teach a standard.

• Take corrective action based on analysis.

• Find areas of remediation for students who need additional time & support to master the standard. Differentiation, re-teaching, SST etc.

• What do we do if they already know it?

• Assess background knowledge prior to instruction.

• Find areas of enrichment/enhancement for students who have mastered standards.

Page 10: Presentation october data team 2012 1

RECOMMENDATION 1

Checklist

• Collect and prepare a variety of data about student learning

• Interpret data and develop hypotheses about how to improve student

learning

• Modify instruction to test hypotheses and increase student learning.

Page 11: Presentation october data team 2012 1

CHARACTERISTICS OF A

TESTABLE HYPOTHESES

Identify a promising intervention or instructional

modification(teaching the Schaffer Method) and the effect you expect to

see (improvement in the skills of paragraph/essay structure in writing)

Ensure that the effect can be measured (Rubric scores)

Identify the comparison data (Scores from PWA and teacher rubric

scores after they were taught the strategy. Also Spring PWA scores)

Page 12: Presentation october data team 2012 1

OTHER STRATEGIES

Allocating more time for topics with which students are struggling

Reordering the curriculum to shore up essential skills with which students are struggling

Designating particular students to receive additional help with particular skills (i.e., grouping

or regrouping students)

Attempting new ways of teaching difficult or complex concepts, especially based on best

practices

Better aligning performance expectations among classrooms or between grade levels; and/or

Better aligning curricular emphasis among grade levels

Page 13: Presentation october data team 2012 1

RECOMMENDATION 2

Teach students to examine their own data and set learning goals

• PWA-Rubrics

• Performance Tasks

• Pre and Post Tests

• Portfolios

Page 14: Presentation october data team 2012 1

RECOMMENDATION 2

Checklist

• Explain expectations and assessment criteria

• Provide feedback to students that is timely, specific, well

formatted, and constructive

• Provide tools that help students learn from feedback

• Use students’ data analyses to guide instructional changes.

• Be sure to frame in such a way that students understand this is not a

reflection of their innate ability, but a way to focus improvement

Page 15: Presentation october data team 2012 1

RECOMMENDATION 3

Establish a clear vision for district/school-wide data use

District Goals:

Improve program-wide attendance % goals to 88.9 by 2018.

Increase Academic Rigor and Consistency Across the Program

• English/Language Arts and Math: 85% of student attain their growth goal for RIT.

• Program-wide goal for all continuously enrolled students improving .5 on the Program-wide Writing Assessment from pre to post test

Improve all areas of growth for student through establishing and growing relationships

between our program, students, parents and the community.

• Students will attend school more frequently, Student academic scores will increase, student will earn more credits, there will be an increase in diplomas, drop-out rates will decline, delinquency and truancy will decline and student safety will increase.

Page 16: Presentation october data team 2012 1

RECOMMENDATION 3

Checklist

• Establish a school-wide data team that sets the tone for ongoing data

use.

• Define critical teaching and learning concepts

• Develop a written plan that articulates activities, roles, and

responsibilities

• Provide ongoing data leadership

Page 17: Presentation october data team 2012 1

RECOMMENDATION 4

Provide supports that foster a data-driven culture within a school

Checklist

• Designate a school-based facilitator who meets with teacher teams to

discuss data.

• Dedicate structured time for staff collaboration.

• Provide targeted professional development regularly

Page 18: Presentation october data team 2012 1

RECOMMENDATION 5

Develop and maintain a district-wide data system

Checklist

• Involve a variety of stakeholders in selecting data systems

• Clearly articulate system requirements relative to user needs.

• Determine whether to build or buy the data system

• Plan and stage the implementation of the data systems.

Page 19: Presentation october data team 2012 1

ACTION AGENDA

At the end of your data team, send a note to yourself about your

action agendas.

Review this as a staff at the beginning of an OSC

Review them when planning.

Page 21: Presentation october data team 2012 1

ANNOUNCEMENTS

Attendance

Unauthorized Drivers

Lunch Program

Parent Teacher Conferences

Page 22: Presentation october data team 2012 1

LUNCH PROGRAM

Effective November 5

Daily Sites will be impacted

No current solutions to our problem

Transition Plan

• Letter Home will be sent Oct 25

• Please discuss with Parents at parent Conferences

• During OSC, please create a new schedule with Nutrition being

served before 10 am (9:30)

Page 23: Presentation october data team 2012 1

Make an attempted to meet

with every parent.

Discuss with Directors times

when he/she is available.

PARENT TEACHER

CONFERENCES

Suggestion Checklist:

Modify/As Needed

Sincere Compliment

• ILP

• RIT/ example strands/ graph/CAHSEE articulatiuon

• Challenges

• Successes

• Goals

• Sincere compliment