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Data for Student Success Using State Data to Identify School Improvement Goals

Data for Student Success Using State Data to Identify School Improvement Goals. “It is about focusing on building a culture of quality data through professional development and web based dynamic inquiries for school improvement.”.

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Data for Student Success Using State Data to Identify School Improvement Goals

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  1. Data for Student Success Using State Data to Identify School Improvement Goals “It is about focusing on building a culture of quality data through professional development and web based dynamic inquiries for school improvement.”

  2. Investigating Module: Using State Assessment Data to Identify School Improvement Goals • Professional Development • Resources to support • Inquiry tool to support

  3. Module: Using State Assessment Data to Identify School Improvement Goals • www.data4ss.org • Agenda • Power point • Worksheets • Tutorial • Resources for ISDs to adapt to their audience for the module • Please cite Data 4SS for work used

  4. Data Analysis Strategy • Concrete experience • Keep it simple • Look for areas of strength and challenges • Provide ample hands-on time in analyzing their data • Provide the scaffolds LEAs need to begin learning the process of using data and making data informed decisions

  5. Application/Guided Practice – Lessons Learned • Addressed in norms • Seek Application • Ask clarifying questions • Intentional scaffold –small scale • Process transparent • Ease of facilitation – all on same page • Provide guided practice prior to using the tool to access own data

  6. Data Narrative Statements: • Are objective statements of FACT about the school data • Represent student achievement, demographics, school programs, school processes, and stakeholder perceptions • Communicate a SINGLE idea • Are clear and concise – written in sentences or phrases • Describe the data; they do not evaluate the data! • MUST stand alone; they do not require the data source to accompany them in order to be understandable.

  7. Test Your Understanding

  8. Activity Objectives • This activity is designed to begin the data mining process. • This activity enables schools to identify percent proficient in ELA and Math in a clear and concise chart. • Using the AYP targets provides a way to compare school results to the proficiency targets. • This activity is not to be used to determine if the school has made AYP.

  9. MEAP Content Analysis

  10. Michigan Annual AYP Objectives

  11. Strategy for Supporting Data Mining • Resource book – Section 2 • Building: Content Area Proficiency • Procedure • Using the template and handouts provided, record data for math • Determine AYP target at building and grade level • Record on template • Use MEAP Proficiency – All grades, individual • Record data on template • Select a highlighter • Highlight those areas below the AYP target

  12. Data 4SS Demo Site • www.data4ss.org • “Dynamic Inquiries” button • “Access the Dynamic Inquiry Tool” link • Login • Username: demo_test1 • Password: fall_01

  13. Activity Objectives • This activity is designed to continue the data mining process to the level of sub-groups. • This activity enables schools to identify percent proficient in sub-groups for ELA and Math in a clear and concise chart. • Using the AYP targets provides a way to compare school results to the proficiency targets. • This activity helps schools determine gaps in building sub-group achievement, identifying the grade levels of greatest need. • This activity is not to be used to determine if the school has made AYP.

  14. MEAP Subgroup Analysis

  15. Strategy work continued • Overall Building Sub-Group Level Achievement • Procedure • Using the template and handouts provided, record data for math • Use the building AYP target • Record on template • Use MEAP Proficiency – AYP Groups and Other Groups – all grades, individual • Record data on template • Select a highlighter • Highlight those areas above the AYP target • Choosing a different color highlighter – highlight those areas below the AYP target

  16. Data Statements • Choose two subgroups • Write a data statement for each one

  17. MEAP Sub-Group Analysis

  18. Strategy work continued • Determine which subgroup has largest achievement gap • Procedure • Use grade level AYP target • Record on template • Use MEAP Proficiency - AYP Groups and Other Groups • Record on template • Select a highlighter • Highlight those areas above the AYP target • Choosing a different color highlighter – highlight those areas below the AYP target

  19. Questions Process? Procedure? Template?

  20. Accessing the Inquiries • www.data4ss.org • Usernames • Passwords • Access to Inquiry Tool

  21. Navigation Process • Login • Select Inquiries – MEAP Proficiency • Select Inquiry Settings - tab • Select ISD • Select District • Select School • Select Grade Level • Select Subject • Select Report Category – All, AYP, Other • Select School Year(s) • View Results

  22. High Needs School - Strategy • Resource book – Section 2 • Choose your high needs school • Complete data dig • Access Data 4SS inquiry tool • Focus on ELA and Math - AYP • Templates • Building: Content Area Proficiency • Overall Building Sub-Group Level Achievement • Sub-Group Level Achievement

  23. High Needs School – Strategy continued • Use same process • Complete data dig with your team

  24. Data Dig • Discuss findings with table group • Based on data • What content area has the greatest need? • What subgroup has the greatest need? • What grade level has the greatest need? • What would the school need to develop to begin a manageable systematic improvement process?

  25. Debrief • Questions • Why would we do this for our LEAs? • Transparent process • Scaffolds learning • Guided practice • Ease of facilitation • Building ownership • Capacity building

  26. Application to our LEAs What do administrators and leadership teams need to know and be able to do as a result of this module? Where are your LEAs in this first step of data analysis? Think about what you will need to put in place to support them.

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