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Melda N. Yildiz Using Computer Generated Data Analysis to Drive Classroom Instruction May 19, 2007

Data Driven

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Page 1: Data Driven

Melda N. YildizUsing Computer Generated Data Analysis to Drive Classroom Instruction May 19, 2007

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Vocabulary average of a 14-year-old dropped from 25,000 words in 1950s to only 10,000 words in 1999.

“Numbers.” Time Magazine 155, no 6 (Feb 14, 2000); 25

Vocabulary Average for 14-Year-Old

25,000

10,000

0

5,000

10,000

15,000

20,000

25,000

30,000

Year

Nu

mb

er o

f Vo

cab

ula

ry

VocabularyRate

VocabularyRate

25,000 10,000

1950 1999

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Statistics

In political Washington, Statistics are weapons of war. That’s why they get manipulated, massaged, and twisted until any connection to reality is strictly coincidental.

Peter Carlson

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CNN.com posted misleading graph showing poll results on Schiavo case

http://mediamatters.org/items/200503220005

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The Truth but not the Whole Truth

0102030405060708090

100

1st Qtr 2nd Qtr 3rd Qtr 4th Qtr

EastWestNorth

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020406080

100

1st Qtr 2nd Qtr 3rd Qtr 4th Qtr

EastWestNorth

0102030405060708090

100

1st Qtr 2nd Qtr 3rd Qtr 4th Qtr

EastWestNorth

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How can you use this data to guide instruction?

Student data on a specific item can be valuable to teachers. Inferences based on the data can be used to guide classroom instruction.

Teachers might want to explore the following questions: What core learning goal indicator is this item testing? Is this indicator included in the curriculum in my local school system? To what extent is this indicator being taught? To what extent have I assessed this indicator? How do the results of my classroom assessment correlate with the field

test? How familiar are the students with the rubric used to score performance (for

constructed responses items only)? What common errors do you see in the way students respond? What do the distractors tell you about instructional needs?

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http://www.kuhrs.com/Files/Final%20FOS%20Brochure.pdf

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"Data helps you make changes. And when you see data, it really puts [student achievement] right in your face." —Virginia Lawton, 6th-grade teacher in Wisconsin

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http://www.3d2know.org

Data-Driven Instruction

3D2Know: Data-Driven Decision MakingCoSN launched the Data-driven Decision Making Initiative: Vision to Know and Do building upon its role in providing key K–12 school district managers with the knowledge and skills necessary for effective leadership.

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Data Quality Campaign (DQC)A national, collaborative effort to encourage

and support state policymakers to improve the collection, availability and use of high-quality education data and implement state longitudinal data systems to improve student achievement.

http://www.dataqualitycampaign.org

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Buried Treasure: Developing a Management Guide From Mountains of School DataThis report (in PDF format) provides a practical

discussion of what is required to develop a school district "management guide," along with an actual guide built on evidence-based indicators.

http://www.crpe.org/pubs/pdf/BuriedTreasure_celio.pdf

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NCREL: School Improvement Through Data-Driven Decision MakingDesigned to give educators—and others

involved in using data in a classroom, school, or district—a variety of places to find resources, tools, and action steps to foster school improvement.

http://www.ncrel.org/datause/ http://www.ncrel.org/datause/howto.php

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http://www.ncrel.org/

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Statewide Longitudinal Data Systems Grant ProgramThis website acts as a resource for grantee and

non-grantee states regarding the grant program, and the development of longitudinal data systems in general.

http://165.224.221.98/Programs/SLDS/index.asp

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Guide to Using Data in School Improvement EffortsA Compilation of Knowledge From Data

Retreats and Data Use at Learning Point Associates

December 2004 by Learning Point Associates

http://www.learningpt.org/pdfs/datause/guidebook.pdf

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More…

http://www.success.co.il/is/dik.html

http://www.fcrr.org/science/pdf/kosanovich/jrf_leadership.pdf