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Data Driven Instruction
Transcript of Data Driven Instruction
What Does It Mean to Be Data Driven?
Data-driven instruction is the philosophy that schools should constantly focus on one simple question: are our students learning?
Using data-based methods, schools break from the traditional emphasis on what teachers ostensibly taught in favor of a clear-eyed, fact based focus on what students actually learned.
Virtually all schools have changed to standards-based curriculum, instruction and assessment.
What can we use data for?
Developing Strategies to improve learning
Evaluating the success of an instructional program
Understanding the difference between norm referenced and criterion referenced assessment
Adjusting and modifying curriculum
Analyzing the "ability level" of the child
"Swimming in Data"
So what does this all mean for you?
We will all be evaluated this year on how our students perform. It will be essential that we understand how to use data to drive our instruction!
Presented by Richard Hayzler, Principal of PV School
What is Data Driven Instruction?
It is the use of quantifiable data obtained from observable and measurable goals set by an educator in order to determine if the student is either improving his academic skills remaining the same or regressing in academics.
In what ways do you (or can you) generate data in your classrooms?
Standardized Test Results
1. Fairness: equality versus equity
2. Motivation: extrinsic versus intrinsic
3. Objectivity and Professional Judgment
Subjectivity versus Objectivity
Accuracy and consistency
4. Student Involvement
Grading for Learning
1. Eliminate practices that distort achievement
2. Eliminate low-quality or poorly organized evidence
3. Be careful with grade calculation norms
4. Grades must support learning
Groups of four
Analyze your scenario
Answer the questions
Prepare to present