Contemporary Issues October 27, 2010

Technology Report Presentations Introducing…… 1.Laura!!!! 2. Mahogany!!! 3. Stacey!!! Clap! Clap! Clap! Applause!!!!

What would you do??? Teacher Suspended

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Data Driven Instruction

Why Data Driven Instruction? Processes involved can help teachers align content to standards. Information can help teachers identify best instructional strategies. Information can help teachers determine areas for instructional emphasis. Proven to improve student performance!

Spend Your Time Aligning Assess for Mastery and Retention Frequent and Fast Data that is Useful Rethink the way you teach Keys to Effective Diagnostic Assessments

Data Driven Decision Making  Data Driven Decision Making provides a structure - a set of guidelines for knowing what decisions to make.  Effective technology training for teachers results in the capacity to share data leading to a deeper understanding of both teacher learning and student success.

The Foundation of Data-Driven Instructional Decisions  Assess and examine data first  Emphasize what is important  Set goals that can be assessed  Focus on what is effective  Align goals with instructional strategies

A New Paradigm Shift Sophisticated data collection + Dissemination technologies + Better understanding of how individuals learn + New assessments = Transformation of Education

It’s All About Teams of Teachers Using Data to Develop Instructional Strategies on a student by student basis focusing on the assessment anchors

Implement “checks for understanding” throughout the content lesson. – Important step in the teaching and learning process – Allows access to the background knowledge that students bring into the classroom – Illuminates exactly what students understand about the lesson “I am looking at daily work. I look at exit tickets, their daily guided practice, the whole class checks for understanding, TPS. When I am looking at their work, that is how I know if they are getting it or not and what I then need to do next.” (p. 93) How do you collect real time data?

– Fist of Five – Think-Pair-Share – Activity before concept (ABC) – Quick Check – Active learning – Questioning techniques – Student reflections Strategies used to “check for understanding”

Data Rich Districts School districts and school district consortia are moving a step ahead of NCLB requirements by integrating data reporting into a culture of continuous improvement.

Rapid Results The three concepts that are the foundation for school improvement: are informed, effective teamwork; goals setting; and the use of performance data. Schaffer 1988

School Improvement Process Set measurable goals and targets Collect data using electronic methods Deliver information to decision makers (classroom, building, district) Identify clearly levels of performance measures and opportunities for improvement

Data Collection: An Iterative Process Vision Standards Assessments Reports Instruction

The Power of Data Assess current and future needs of students Decide what to change Determine if goals are being met Engage in continuous school improvement Identify root causes of problems Promote accountability

Early Screening Works  Identifies students who are likely to have problems learning  Administers easily and quickly  Facilitates selective use of diagnostic assessments  Provides accurate and reliable data

Screening and Diagnostic Assessments  DIBELS -- Dynamic Indicators of Basic Early Literacy Skills  TPRI -- Texas Primary Reading Inventory  Tejas LEE -- Reading Inventory in Spanish

CPS DIBELS FY05 Data

Make the Data Useful

Needs a day of tutoring Needs a tutor every day Ready for a challenge

Make the Data Useful Re-Teach! Replicate!

Ready or Not... The World is Different Work is different... Tools are different... Communication is different... Information is different... Kids are different... Learning is different … Teaching must be different... And Leading must be different!

Research shows… “…leadership... the single most important factor affecting the successful integration of technology into schools. This is true at all levels- state, district, and schools.” Lessons Learned SEIR*TEC (2002)

What we know about effective use of technology in schools The world is different New environments enable more effective strategies Essential conditions are essential Highly skilled teachers and administrators are required Assessment is critical

Research Shows “Students whose teachers were high level users of technology in the classroom scored significantly better than did students whose teachers were low level users of technology in the classroom.” Middleton and Murray, 1999

“Collecting data is only the first step toward wisdom. But sharing data is the first step toward community.” IBM – On Demand Business Prodigy Advertisement

It takes time. It has to start at the top. Progress has to be measurable. Business models are starting points. Community outreach is essential. Data driven decision making can be a powerful tool in changing student outcomes and promoting continuous improvement in achievement. Lessons Learned

What gets measured gets done. Peters 1987