Tentative agenda:
8:30 a.m. - Video - Slide 3
8:35 - Intro. to QR Code - Slides 4-6
8:40 - AQuesTT - Slides 7-9
AQuEsTT Activity - Slide 10
9:00 - Data Cadre - Slides 11 and 12
9:05 - Literacies - Slides 13-15
Literacies Activity - Slide 16
9:20 - Data Use - Slide 18
EFF - Data description - Slides 19-23
Models/Rule 10 - Slides 14-27
9:30 - Break - Slide 28
9:40 - Continuum - Information and Analysis - Slide 29-30
Self-Assessment
10:10 - Perceptual data slides - ???
10:20 - Strengths/Challenges activity - Slides 31-36
11:05 - Surveys - Qualtrics - Slide 37
11:15 - Wrap-Up - Slides 38-41
Q&A
Using Data for Continuous �School Improvement
2016 Fall CIP Workshops
AM Session
VIDEO CLIP Brad Geise
Connections to Day 1???
Using Data for Continuous �School Improvement
2016 Fall CIP Workshops
About this Session
Part One:
Data Literacies – Four Types of Data
Self-Assessment Continuums
Data Analysis- Demographic
Overview
The importance of Data Literacy and Data Use; Continuous Improvement Continuums
Goals
Review Literacies and Types of Data; Understand process of continuums for self-evaluation and demographic data analysis
Part Two:
Perceptual Data
Drawing Conclusions From Reports
Reporting Results
Overview
NDE Perceptual Surveys; Tips for Stakeholder Surveys; Using the Data
Goals
Explore specific data analysis tools and processes
Understanding AQuESTT
Processes
Statutory Requirements
Accountability Processes
Accreditation of Schools/ Districts
Understanding AQuESTT
SYSTEMS
OF SUPPORT
PROFESSIONAL LEARNING
IMPROVEMENT
EFFICIENCY
LEADERSHIP
LEVERAGING
BUILDING CAPACITY
DATA USE
Processes
Statutory Requirements
Accreditation of Schools/Districts
Accountability Processes
SYSTEMS
OF SUPPORT
Statewide Professional Learning Support
Continuous School Improvement Processes
ESUCC/NDE BlendEd Initiative
Teacher/Principal Performance Framework
School/District Data Profiles
ADVISER Dashboard
Effective Use of Data for Improvement
Sustaining Data Literacy
Sustain a statewide system of data analysis training �that reaches every district.
Tiered Training Delivery
Statewide Data Cadre ✔
ESUs and NDE Staff ✔
School District Leadership and Staff ✔
Data Cadre
Nebraska Data Literacies
What do the data show?
Data
Comprehension
Why might this be?
Data
Interpretation
Did our response �produce results?
Evaluation
How should we respond?
Data Use
Data Literacies Format
1.
a.
i.
Concept
Indicators
Literacy
�Literacy 1�What do the data show?�Data Comprehension�
Concepts:
Data Use Curriculum
Nebraska
Data
Literacies
Bernhardt, V.L. (2013)
Data Analysis for Continuous School Improvement
(Third Edition)
New York, NY: Routledge
Where are we now?
How did we get to where we are?
Where do we want to be?
How are we going to get to where we want to be?
Is what we are doing making a difference?
Data Literacy 1
What do the data show?
Data Literacy 2
Why might this be?
Data Literacy 2
Why might this be?
Data Literacy 3
How should we respond?
Data Literacy 4
Did our response produce results?
Page 14
Using Data for
Continuous Improvement
Continuous School Improvement
Using Results
Continuous Improvement Models
Nebraska Frameworks AdvancED
NEBRASKA MODEL FOR CONTINUOUS IMPROVEMENT
Rule 10: �Regulations and Procedures �for the Accreditation of Schools
009 Continuous School Improvement
AdvancED
THINK BROADER
Holistic view of each student
Equal access to information
Collective impact
EXPERIENCE BOLDER
New system for measurement
Customized for Nebraska
Outcome-based approach
BE BETTER
Continuous improvement
Sharing of best practices
Focused on every student, every day
10-minute Break
Continuous Improvement Continuums for
Self-Assessment
How are we going to get to where we want to be?
Is what we are doing making a difference?
Appendix A
Pg. 193-204
STUDY�QUESTIONS:
Demographic Data
Implications for the continuous school improvement plan.
Strengths
Challenges
Other data . . .
DEFINITIONS
DEFINITIONS
PROTOCOL:
Answer Questions—
Strengths, Challenges,� Implications, Other� Demographic Data
ANALYZING THE DATA
WHAT ARE�THE BENEFITS �OF THIS �APPROACH?
Page 336, �Figure G-1
Identifying actionable �items (implications) for �consideration related �to demographic data.�
SAMPLE IMPLICATIONS
NEED picture of Figure G-1 Demographic Strengths, Challenges, Implications
New Survey link here
NDE/ESU PERCEPTUAL SURVEYS
Work with your ESU Staff Developer to
NEXT STEPS
EXIT SURVEY
Thank you!