# data[].attributes.body
Using data to determine levels to determine if reteaching

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Using research to create results

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Using date provides the information needed when planning follow up instruction.

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Data driven instruction is taking relative information and using to differentiate instruction to meet the needs of all students

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Use data (# right & wrong or what prompts used) to determine if teaching plans need to change

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Use data (# right & wrong or what prompts used) to determine if teaching plans need to change

# data[].attributes.headline
Taking data on students goals and adjusting/modifying instruction to meet their needs and levels

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Taking data on students goals and adjusting/modifying instruction to meet their needs and levels

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Identifying students' strength s and weaknesses through predetermined assessments and using it to gear future instruction

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Using student results to determine lessons and next steps

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Taking notes or assessment scores to lead instruction

# data[].attributes.body
Using information from students to influence instruction

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Data driven instruction is teaching influenced by standardized measures.

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Using various assessments to determine what to teach/reteach

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Data driven instruction is how a teacher uses the feedback from their students to understand where their students are standing with regards to the area of study (ie warm ups, exit tickets etc)

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Taking what the students have produced, and adjusting your lessons/method to best suit the students.

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Taking data on student goals and creating/developing lessons based on their performance

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Taking data on student goals and creating/developing lessons based on their performance

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Using information directly related to student learning styles, abilities, and work products to determine courses of action in the classroom

# data[].attributes.body
It means that the data from standardized tests are used to guide the teachers to plan lessons and use strategies to motivate students in areas that need help