Data Coaching Services Data Analysis Model and Process February 2012 Orient Campuses to Data Assist in Data Analysis Provide Feedback System.

Slides:

Advertisements

Similar presentations

DATA TEAMS AT STANTON NETWORK SCHOOL IN THE CONTEXT OF THE SEED TEACHER EVAL PROGRAM PRESENTED BY BILLIE SHEA & JANE COOK ADAPTED FROM MATERIALS DEVELOPED.

Advertisements

Putting Together The Standards-Based Puzzle

Response to Intervention: Linking Statewide Initiatives.

Progress Towards Reading Success: The Reading First Evaluation Prepared by: Amy Kemp, Ph.D. Research Associate and Patricia A. Muller, Ph.D. Associate.

Professional Learning Communities Connecting the Initiatives

School Based Assessment and Reporting Unit Curriculum Directorate

1 Phase III: Planning Action Developing Improvement Plans.

You should be hearing music at this time. If you are unable to hear, please make sure your sound is turned on. - This webinar will be recorded. Feel free.

Heather Zavadsky, Ph.D. Bringing School Reform to Scale: Moving From Islands of Greatness to Successful Systems.

Title I Schoolwide Providing the Tools for Change Presented by Education Service Center Region XI February 2008.

Semonti Basu PBS Technical Assistance Facilitator Grace Martino-Brewster PBS Specialist Austin Independent School District Connecting Data Dots Using data-based.

The Marzano School Leadership Evaluation Model Webinar for Washington State Teacher/Principal Evaluation Project.

CHANGING ROLES OF THE DIAGNOSTICIAN Consultants to being part of an Early Intervention Team.

“Sorting Out Response to Intervention” Nassau Association of District Curriculum Officials February 26, 2009 Presented by Arlene B. Crandall ABCD Consulting,

1 Introduction to the Professional Teaching and Learning Cycle (PTLC)

MED  Problem of the Day: SEND +MORE MONEY.

Foundations for Success Initial Findings and New Directions Jason Snipes Director of Research Council of the Great City Schools Defining the Achievement.

The general structure of the facilitation notes will be:

Debbie C. Hester Austin ISD July 9 & 11, 2012 Texas Turnaround Center.

Aligning Curriculum Standards, Instructional Practices and Assessment.

Professional Growth= Teacher Growth

1 GENERAL OVERVIEW. “…if this work is approached systematically and strategically, it has the potential to dramatically change how teachers think about.

Teacher Certification Next Steps……. How certification works within your current practice Student Growth Criterion 3: Recognizing individual student learning.

Data Driven Student Learning: Google Forms MARY JOY ABAQUIN, ED.M.

1. 2 Why is the Core important? To set high expectations –for all students –for educators To attend to the learning needs of students To break through.

Data Warehouse Overview From Calhoun ISD - PowerPoints Data Director and D4SS “Instead of overloading teachers, let’s give them the data they need to conduct.

MARYLAND STATE DEPARTMENT OF EDUCATION  DIVISION OF SPECIAL EDUCATION/EARLY INTERVENTION SERVICES JOHNS Hopkins University Center for Technology in Education.

Leveraging Educator Evaluation to Support Improvement Planning Reading Public Schools Craig Martin

Texas Education Agency Updated F-2 FOUNDATION.

9/15/20151 Scaling Up Presentation: SIG/SPDG Regional Meeting October 2009 Marick Tedesco, Ph.D. State Transformation Specialist for Scaling Up.

Heather Zavadsky Building State Capacity and Productivity Center.

Special Education Chairpersons as Instructional Leaders Facilitating Proper IEPs for Continuous Improvement Process in Student Academic Performance.

40 Performance Indicators. I: Teaching for Learning ST 1: Curriculum BE A: Aligned, Reviewed and Monitored.

Utilizing the School Restructuring Resources Lauren Morando Rhim & Bryan C. Hassel Public Impact For Center on Innovation and Improvement.

Pontotoc City School District. Pontotoc City School District believes LEARNING is a priority, a need, and a desire. To be successful, we must nurture.

Senior Capstone Experience Framework A Guide for South Dakota Schools.

School Improvement Planning With ASSIST 1. What is ASSIST? 2  ASSIST = Adaptive System of School Improvement Support Tools  Partner = AdvancED  Web-based.

Setting purposeful goals Douglas County Schools July 2011.

COMPREHENSIVE NEEDS ASSESSMENT (CNA) Schoolwide Programs.

Leadership of self linked with a system of formative assessment Cynthia Cuellar Astrid Fossum Janis Freckmann Connie Laughlin.

How Do We Do This? Educate all students: – Build upon prior knowledge and experience –Address a wide range of skill levels –Instruct utilizing various.

What is HQPD?. Ohio Standards for PD HQPD is a purposeful, structured and continuous process that occurs over time. HQPD is a purposeful, structured and.

Insert Division / Campus Name Here Data Analysis Model and Process Divisions August 2012 Orient Campuses to Data Assist in Data Analysis Provide Feedback.

EDUCATIONAL BENEFIT: MODULE II Tonya Green February 26-27, 2012 Mississippi Department of Education.

South Western School District Differentiated Supervision Plan DRAFT 2010.

FEBRUARY KNOWLEDGE BUILDING  Time for Learning – design schedules and practices that ensure engagement in meaningful learning  Focused Instruction.

Intro to TPEP. A new evaluation system should be a model for professional growth, supporting collaboration between teachers and principals in pursuit.

Susan Schaeper Klein ISD. What is a PLC? “A Professional Learning Community (PLC) is educators committed to working collaboratively in ongoing processes.

Federal Flexibility Initiative and Schoolwide Programs.

“A Truthful Evaluation Of Yourself Gives Feedback For Growth and Success” Brenda Johnson Padgett Brenda Johnson Padgett.

Using the Fall 2011 NECAP Results New England Common Assessment Program.

Principals’ Retreat “Learning To Walk, Walking To Learn” Renée E.Jackson, Superintendent Local District G August 9, 2001.

One Voice – One Plan Office of Education Improvement and Innovation MI-CSI: Study Stage Analyze Data.

BISD Update Teacher & Principal Evaluation Update Board of Directors October 27,

Spotlight on Districts and Campuses Bonham Independent School District February 25, 2011.

ANNOOR ISLAMIC SCHOOL AdvancEd Survey PURPOSE AND DIRECTION.

Ohio Improvement Process (OIP) Facilitating District-wide Improvement in Instructional Practices and Student Performance.

Stage 4 Restructuring Stage 5 Alternative Governance.

Title I Planning Meeting One November 18, How are Title I funds being used? The majority of the funding was spent on personnel personnel. Title.

March 26, 2012 North Scott School Board Presentation.

Making Data Walls Accessible Presented by Christine Mulgrave EDL 626 Fall, 2007.

Office of Service Quality

Vision Statement We Value - An organization culture based upon both individual strengths and relationships in which learners flourish in an environment.

Federal Flexibility Initiative and Schoolwide Programs.

TAIS: Root Cause Analysis Keela McGraw, Billy Schewee ESC Region 11.

Required Skills for Assessment Balance and Quality: 10 Competencies for Educational Leaders Assessment for Learning: An Action Guide for School Leaders.

Note: In 2009, this survey replaced the NCA/Baldrige Quality Standards Assessment that was administered from Also, 2010 was the first time.

Courtney Mills Principal, Midlands Middle College

Data Analysis Introduction.

Linking Evaluation to Coaching and Mentoring Models

Presentation transcript:

Data Coaching Services Data Analysis Model and Process February 2012 Orient Campuses to Data Assist in Data Analysis Provide Feedback System

Challenge 2 “…take the abundance of school data generated each year and turn it into information that can lead to improvements in educational practice.” -- Jeffrey C. Wayman, The University of Texas

Charge 3 Develop a systemic model and process to analyze data for student achievement Align the model and process with Dallas ISD instructional initiatives

Research 4 Best Practices and Research for Data Analysis Tools The understanding, use, and implementation of data analysis tools and practices are key components to improving student achievement.

Research 5 Best Practices and Research for Data Analysis Tools Best practices from various sources have been studied for the development of the Data Coaching Services Data Analysis Model and Process.

Data Analysis Model and Process 6

The Data Analysis Model Layers 7

Data Analysis Model Layers Process Steps Embedded Data Practices District Initiatives Student Achievement 8

Student Achievement (Inner Circle) The Data Analysis Process provides campus leaders and teachers tools to analyze data and develop action plans to monitor and improve student achievement. Student Achievement (Inner Circle) The Data Analysis Process provides campus leaders and teachers tools to analyze data and develop action plans to monitor and improve student achievement. 9

District Initiatives District Initiatives (Center Ring) The Data Analysis Process is integrated with district initiatives, such as Response to Intervention (RtI), the Principles of Learning (POLs), and the Curriculum, Instruction, Assessment, and Accountability model (CIA 2 ). District Initiatives (Center Ring) The Data Analysis Process is integrated with district initiatives, such as Response to Intervention (RtI), the Principles of Learning (POLs), and the Curriculum, Instruction, Assessment, and Accountability model (CIA 2 ). 10

Embedded Data Practices (Middle Ring) Data-driven dialogue and instructionally relevant questions should be embedded as an ongoing practice when considering data analysis. Embedded Data Practices (Middle Ring) Data-driven dialogue and instructionally relevant questions should be embedded as an ongoing practice when considering data analysis. 11

Process Steps Process Steps (Outer Ring) The outer ring outlines the steps of the Data Analysis Process. These seven steps create a process to analyze data for student achievement. Process Steps (Outer Ring) The outer ring outlines the steps of the Data Analysis Process. These seven steps create a process to analyze data for student achievement. 12

The Data Analysis Process 13

The Data Analysis Tool Each step of the Data Analysis Tool has a corresponding section on the Data Analysis Model 14

Frame the Question The first step in the process is to determine what information and questions need to be answered. This step provides direction and focus to the process. 15

Organize for Dialogue The second step involves organizing the group which will analyze the data. 16

Collect the Data Select the source or sources which will provide the data needed to answer the question(s). Multiple data pieces should be gathered to create a complete representation of the data and information required. 17

Analyze the Data This step involves evaluating data using analytical and logical reasoning to examine each component of the data. This will be done by aggregating/disaggregating data and identifying strengths, weaknesses, and anomalies. 18

Interpret the Data At this step, discussion and investigation will take place to identify patterns, trends, and tentative conclusions and explanations. 19

Select Actions This step will address appropriate data-driven actions and measurable relevant goals. 20

Monitor Results This step will identify the process and responsible staff for monitoring progress towards relevant goals. 21

Data is like... A jigsaw puzzle. The separate pieces may show interesting detail, but together you can see the whole picture. It represents going from the unknown to the known. The School Portfolio Toolkit, Victoria L. Bernhardt,

Contact Us 23 Data Coaching Services Faustina Gallagher, Director Entaune Tyson, Manager Debbie Floyd, Data Coach Danielle Hernandez, Data Coach Janie Reyes, Data Coach 2500 South Ervay St. Dallas, TX (972)