Data Literacy for All Schools
Data Literacy for All Schools SLDS Grant Goal 2
#AQuESTT
Purpose 1. Understand and use the Data Literacies in districts and schools 2. Recognize the connection between the Data Literacies and the Continuous Improvement Process 3. Recognize the connection between the Data Literacies and the AQuESTT tenets 4. Identify resources available through NDE & ESUs for analyzing data through the Continuous Improvement Process
Goal 2 SLDS Grant Provide a statewide system of professional development training for data analysis that reaches every district.
Tiered Training Delivery Statewide Data Cadre ✔
ESUs and NDE Staff ✔
School District Leadership and Staff ✔
School District Staff
Data Cadre • Create data use and literacy capacity and culture in Nebraska school districts. • Collaborative effort between NDE and ESUCC: – 8 professional developers from ESUs – 10 NDE Representatives – Expanded to include representatives from NDE departments and postsecondary
Statewide Data Cadre ESUs/ESUCC – Rhonda Jindra – ESU 1 – Mike Danahy – ESU 2 – Marilou Jasnoch – ESU 3
– Annette Weise – ESU 5 – Lenny VerMaas – ESU 6 – Denise O’Brien – ESU 10
– Melissa Engel – ESU 16 – Jeff McQuistan – ESU 17
NDE
Higher Ed
– Data, Research, Evaluation – Dick Meyer – UNK – Russ Masco – Matt Heusman – Assessment – John Moon – Federal Programs – Beth Zillig – Special Education – Teresa Coontz – Curriculum – Cory Epler – Tricia Parker-Siemers – Accreditation and School Improvement – Don Loseke – Sue Anderson – Network Education and Technology (NEaT) – Kristina Peters
Understanding AQuESTT A Next Generation Accountability System •
Focuses on investments that matter in student success
•
Builds a system of supports to help all schools and districts
•
Works together with all stakeholders to support/improve the whole educational system
•
Looks beyond Assessment and Student Performance as sole measures of success – Measures status PLUS growth and improvement – Other indicators of school performance
Understanding AQuESTT HAVE TO DOs GET TO DOs
Understanding AQuESTT HAVE-TO-DOs Statutory Requirements
Accreditation of Schools/ Districts
Processes
Accountability Processes
Understanding AQuESTT SYSTEMS
HAVE TO DOs
GET TO DOs
OF SUPPORT Effective Use of Data for Improvement
Statewide Professional Learning Support Statutory Requirements
Processes
Continuous School Improvement Processes
ADVISER Dashboard
Accountability Processes
Accreditation of Schools/Districts
ESUCC/NDE BlendEd Initiative
School/District Data Profiles
Teacher/Principal Performance Framework
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.
Literacy a.
Concept i. Indicators
Data Comprehension
Literacy 1: What do the data show?
Concepts: a. Continuous Improvement Process b. District/School Profile c. Data Tools and Skills
Data Literacies
Data Literacies
Data Literacies Definitions
Text Protocol http://www.nsrfharmony.org
Text Rendering Directions • Divide into groups of 4 with others outside your school. – One of the 4 literacies will be assigned to each group. • Take a few moments to review the document and mark the sentence, the phrase, and the word that you think is particularly important for our work. • Choose a scribe for each group to track the phrases and words that are shared.
Steps First Round: Each person shares a sentence from the document that he/she thinks/feels is particularly significant. Second Round: Each person shares a phrase that he/she thinks/feels is particularly significant. The scribe records each phrase.
Third Round: Each person shares the word that he/she thinks/feels is particularly significant. The scribe records each word.
Discussion Discuss what you’ve heard and what it says about the Data Literacies document.
How might you use the Data Literacies document in your school/district?
Data Literacies http://www.education.ne.gov/DataServices/SLDS_Grant/Data_Literacies.pdf
Data Literacies
Data Use Curriculum
Nebraska Data Literacies
Bernhardt, V.L. (2013)
Data Analysis for Continuous School Improvement (Third Edition) New York, NY: Routledge
Data Literacy 1 What do the data show?
Where are we now? Data Literacy 2 Why might this be? Data Literacy 2 Why might this be?
Where do we want to be?
Data Literacy 4 Did our response produce results?
Is what we are doing making a difference?
How did we get to where we are?
Data Literacy 3 How should we respond?
How are we going to get to where we want to be?
Using Data for Continuous Improvement
Using Results Continuous School Improvement
RULE 10: Regulations and Procedure for the Accreditation of Schools 009 Continuous School Improvement • 009.01A2 Collection and analysis of data about student performance, demographics, learning climate, and former high school students.
AdvancED • Standard 5: Using Results for Continuous Improvement
NDE Continuous School Improvement Workshops • Learn about the Nebraska Data Literacies • Learn data analysis techniques
• Define appropriate action steps based on data analysis • Retrieve student data submitted to NDE via NSSRS OR Bring/use local district/school data for analysis
NDE Continuous School Improvement 2015-2016 Workshops • Each school will receive a copy of Data Analysis for Continuous School Improvement
• • • • •
September 22 & 23 – Norfolk September 28 & 29 – Gering October 15 & 16 – Lincoln October 19 & 20 – Omaha October 26 & 27 – Kearney
Data Literacy 1 What do the data show? Where are we now? Data Literacy 2 Why might this be? Data Literacy 2 Why might this be? Where do we want to be?
Data Literacy 4 Did our response produce results? Is what we are doing making a difference?
How did we get to where we are? Data Literacy 3 How should we respond? How are we going to get to where we want to be?
Thank you! #AQuESTT
#AQuESTT
Purpose 1. Understand and use the Data Literacies in districts and schools 2. Recognize the connection between the Data Literacies and the Continuous Improvement Process 3. Recognize the connection between the Data Literacies and the AQuESTT tenets 4. Identify resources available through NDE & ESUs for analyzing data through the Continuous Improvement Process
Goal 2 SLDS Grant Provide a statewide system of professional development training for data analysis that reaches every district.
Tiered Training Delivery Statewide Data Cadre ✔
ESUs and NDE Staff ✔
School District Leadership and Staff ✔
School District Staff
Data Cadre • Create data use and literacy capacity and culture in Nebraska school districts. • Collaborative effort between NDE and ESUCC: – 8 professional developers from ESUs – 10 NDE Representatives – Expanded to include representatives from NDE departments and postsecondary
Statewide Data Cadre ESUs/ESUCC – Rhonda Jindra – ESU 1 – Mike Danahy – ESU 2 – Marilou Jasnoch – ESU 3
– Annette Weise – ESU 5 – Lenny VerMaas – ESU 6 – Denise O’Brien – ESU 10
– Melissa Engel – ESU 16 – Jeff McQuistan – ESU 17
NDE
Higher Ed
– Data, Research, Evaluation – Dick Meyer – UNK – Russ Masco – Matt Heusman – Assessment – John Moon – Federal Programs – Beth Zillig – Special Education – Teresa Coontz – Curriculum – Cory Epler – Tricia Parker-Siemers – Accreditation and School Improvement – Don Loseke – Sue Anderson – Network Education and Technology (NEaT) – Kristina Peters
Understanding AQuESTT A Next Generation Accountability System •
Focuses on investments that matter in student success
•
Builds a system of supports to help all schools and districts
•
Works together with all stakeholders to support/improve the whole educational system
•
Looks beyond Assessment and Student Performance as sole measures of success – Measures status PLUS growth and improvement – Other indicators of school performance
Understanding AQuESTT HAVE TO DOs GET TO DOs
Understanding AQuESTT HAVE-TO-DOs Statutory Requirements
Accreditation of Schools/ Districts
Processes
Accountability Processes
Understanding AQuESTT SYSTEMS
HAVE TO DOs
GET TO DOs
OF SUPPORT Effective Use of Data for Improvement
Statewide Professional Learning Support Statutory Requirements
Processes
Continuous School Improvement Processes
ADVISER Dashboard
Accountability Processes
Accreditation of Schools/Districts
ESUCC/NDE BlendEd Initiative
School/District Data Profiles
Teacher/Principal Performance Framework
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.
Literacy a.
Concept i. Indicators
Data Comprehension
Literacy 1: What do the data show?
Concepts: a. Continuous Improvement Process b. District/School Profile c. Data Tools and Skills
Data Literacies
Data Literacies
Data Literacies Definitions
Text Protocol http://www.nsrfharmony.org
Text Rendering Directions • Divide into groups of 4 with others outside your school. – One of the 4 literacies will be assigned to each group. • Take a few moments to review the document and mark the sentence, the phrase, and the word that you think is particularly important for our work. • Choose a scribe for each group to track the phrases and words that are shared.
Steps First Round: Each person shares a sentence from the document that he/she thinks/feels is particularly significant. Second Round: Each person shares a phrase that he/she thinks/feels is particularly significant. The scribe records each phrase.
Third Round: Each person shares the word that he/she thinks/feels is particularly significant. The scribe records each word.
Discussion Discuss what you’ve heard and what it says about the Data Literacies document.
How might you use the Data Literacies document in your school/district?
Data Literacies http://www.education.ne.gov/DataServices/SLDS_Grant/Data_Literacies.pdf
Data Literacies
Data Use Curriculum
Nebraska Data Literacies
Bernhardt, V.L. (2013)
Data Analysis for Continuous School Improvement (Third Edition) New York, NY: Routledge
Data Literacy 1 What do the data show?
Where are we now? Data Literacy 2 Why might this be? Data Literacy 2 Why might this be?
Where do we want to be?
Data Literacy 4 Did our response produce results?
Is what we are doing making a difference?
How did we get to where we are?
Data Literacy 3 How should we respond?
How are we going to get to where we want to be?
Using Data for Continuous Improvement
Using Results Continuous School Improvement
RULE 10: Regulations and Procedure for the Accreditation of Schools 009 Continuous School Improvement • 009.01A2 Collection and analysis of data about student performance, demographics, learning climate, and former high school students.
AdvancED • Standard 5: Using Results for Continuous Improvement
NDE Continuous School Improvement Workshops • Learn about the Nebraska Data Literacies • Learn data analysis techniques
• Define appropriate action steps based on data analysis • Retrieve student data submitted to NDE via NSSRS OR Bring/use local district/school data for analysis
NDE Continuous School Improvement 2015-2016 Workshops • Each school will receive a copy of Data Analysis for Continuous School Improvement
• • • • •
September 22 & 23 – Norfolk September 28 & 29 – Gering October 15 & 16 – Lincoln October 19 & 20 – Omaha October 26 & 27 – Kearney
Data Literacy 1 What do the data show? Where are we now? Data Literacy 2 Why might this be? Data Literacy 2 Why might this be? Where do we want to be?
Data Literacy 4 Did our response produce results? Is what we are doing making a difference?
How did we get to where we are? Data Literacy 3 How should we respond? How are we going to get to where we want to be?
Thank you! #AQuESTT
