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Using Data for Instructional Decisions

Using Data for Instructional Decisions. Brenda Benson Fifth District Elementary. PT3 Grant Goal. Prepare preservice teachers to use technology to interpret and analyze student and school data to develop data-driven instructional decisions. Data and Dieting ….

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Using Data for Instructional Decisions

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  1. Using Data for Instructional Decisions Brenda Benson Fifth District Elementary

  2. PT3 Grant Goal Prepare preservice teachers to use technology to interpret and analyze student and school data to develop data-driven instructional decisions.

  3. Data and Dieting … What is the connection ?

  4. How is Data Collection Like Dieting?

  5. Using the Data

  6. Using the Data

  7. Data Collection “The only way for teachers and schools to identify which students can demonstrate proficiency on the Maryland Content Standards is to continuously assess and monitor students as part of their classroom instruction.” (http//www.mdk12.org/data/progress/index.html) Student performance on assignments and assessments enable teachers to make informed instructional decisions regarding teaching and re-teaching specific indicators.

  8. What does this mean for the classroom teacher?

  9. Teachers need to collect and analyze a variety of data in a variety of ways. • Types of Data Collected • Strategies for Analyzing Data • Tools to collect and analyze data

  10. Types of Data Collected

  11. Types of Data Collected • Formative Data • Daily assessments • Summative Data • End of unit or theme • Houghton Mifflin Theme Tests • BCPS Math Summative Tests • MSA and CTBS

  12. Sample Formative Assessment Finding the Main Idea Complete the diagram with facts from All About Eagles. Main Idea Paragraph 2 Main Idea Paragraph 1 Details Details

  13. Sample Summative Assessment Integrated Reading Theme Skills Datasheet EDHD 485 teachers: Examples will be provided later in our dace to face sessions

  14. Strategies for Analyzing Data

  15. Strategy 1 for Analyzing Data:Individual Teacher Data Collection

  16. Individual Teacher Data Collection • Teachers review individual student assignments and assessments to identify strengths and weaknesses. • Teachers adjust daily instruction based on this information.

  17. Strategy 2 for Analyzing Data:Grade Level Data Discussions

  18. Grade level groups analyze data • Teachers enter data into Excel and then manipulate it to see which students are still having trouble overall. • Teachers analyze strengths and weaknesses as a grade level each month. • Teachers identify interventions, staff development and materials needed at quarterly data discussions.

  19. Sample Data Grade 3 Theme Tests Term 1 and Term 2 1 2 1 2 1 2

  20. Strategy 3 for Analyzing Data:Vertical Team Data Discussion

  21. Vertical Teams Analyze Data • Teams of teachers working with similar types of learners across grade levels share teaching strategies.

  22. Tools to collect and analyze data

  23. Tools Used for Collecting and Analyzing Data • Individual Teacher Grade Books • Paper or Electronic • Houghton Mifflin Theme Test (required assessment by local school system) • Grade Level Data Summary

  24. Practice using Data Tools Analyzing Data… Working in small groups

  25. Using Data to make Instructional Decisions • Use the Houghton Mifflin Theme Test data provided. • Use data to make decisions about instruction. • What skills need re-teaching? • What strategies will you provide? • What resources/professional development do you need to help with your instruction? See Excel spreadsheet

  26. What does this mean for the pre-service teacher?

  27. MTTS IV : Module Planning “Remember that statistics don’t learn or teach.” Baltimore Sun January 8, 2004

  28. Contact information Ms. Brenda Benson Fifth District Elementary 410-887-1726 Baltimore County Public Schools

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