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Today’s Leadership for Tomorrow’s Results

Today’s Leadership for Tomorrow’s Results. Data Retreat® is a registered service mark of Cooperative Educational Service Agency 7, Green Bay, WI. SIP . . . Examing Data. Presented by: Jack D. Hinterlong, Ed. D., Educational Consultant Guy Todnem, Professional Development Specialist.

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Today’s Leadership for Tomorrow’s Results

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  1. Today’s Leadership for Tomorrow’s Results Data Retreat® is a registered service mark of Cooperative Educational Service Agency 7, Green Bay, WI

  2. SIP . . . Examing Data Presented by: Jack D. Hinterlong, Ed. D., Educational Consultant Guy Todnem, Professional Development Specialist

  3. Student Data Program & Structures Data Professional Practices Data Family & Community Data 8 Step Process • 8 Steps: • Team Readiness • Data Sources • Data Analysis • Pose Hypotheses • Prioritize & Set Goals • Design Study & Strategies • Define Evaluation • Make a Commitment & Plan the “Roll Out”

  4. Study & Plan Successful Strategies Prioritize& Set Goals Professional Practices Data Student Data 4 Lenses of Data Observe Patterns & Hypothesize Family & Community Data Program & Structures Data What data have we or could we collect as indicators of the effectiveness of our schools?

  5. THE PROCESS: Reflective Collaboration through Learning Teams THE FOCUS:Improving Student Learning – of ALL Students

  6. Student Patterns Professional Practice Patterns Family & Community Patterns Program & Structures Patterns Data Analysis Examining Evidence of Success • Broad to Specific • Specific to Patterns • Observing Patterns LENS #1--Student Data

  7. State Assessment Analysis How do your students perform on the state and local assessments? ISAT PSAE

  8. Broad Achievement Patterns—ALL STUDENTS • Observing All Students Over Time • Find your broad subject area results on the IIRC Website. • Find the % of ALL students at meets & exceeds at each grade and subject tested. • Make a team DATA TABLE. • Find and enter these data for previous years. • Label the table.

  9. Team Observations & Discussion Record your observations. What do you see? Hypotheses Observations • List opinions about possible reasons for the patterns. • List any theories team members suggest. • List the broad patterns you see. • List facts, not opinions.

  10. Achievement Data Hypotheses Hypothesis = an assumption made about the data pattern. HypothesesGuiding Questions: 1. Why are our students performing way they are? 2. What in our systems and practices is causing our student to have these problems?

  11. Observations (Looking for patterns) For each column heading on the table: • write a statement about the number pattern • write a statement comparing 03 to 04 For the bar graph: • write a statement about patterns you see.

  12. CONCERN –Student concern • SOURCE--Indicate data source. • WHEN--indicate time frame. • WHO--Indicate which students. • WHAT--Indicate which skills, which variables. • WHAT DIRECTION, BY HOW MUCH—Report quantitative findings--in numbers! Writing Data Findings 

  13. Observations Examples • Math is low. Math ISAT scores were lower in measurement for the past 3 yrs for 8th grade than other subtests. • Extended response low. Reading extended response scores in 3rd and 5th grade over the last 4 yrs are below 50% of the students M & E.

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