Data Driven Instruction

$149.00$349.00

  • Analyze your current method for designing instruction
  • Develop methods for analyzing data to make instructional decisions
  • Increase academic rigor in your classroom
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Description

Data driven instruction is a precise and calculated approach to improve student comprehension throughout the school year. Implementing and utilizing data to drive instruction is perceived to be an overwhelming task. This course will help educator use data analysis to improve student learning. The use of data and student learning objectives (SLOs) are at the heart of data driven instruction. Participants will analyze data, focus on increasing rigor in the classroom, types of assessment, and the building blocks to successful data driven instruction implementation. This course is appropriate for all K-12 educators.

Graduate Credits

MidAmerica Nazarene University

Course Number: CRN-9583
You can earn 3 Graduate Level Credits ($100) from MidAmerica Nazarene University for this course.Select “Open Enrollment” as the credit type when adding the course to your cart. Directions for registering with MidAmerica Nazarene can be found here.
Click here to complete your registration with MidAmerica Nazarene University.
**To earn graduate level credit, participants will need to complete an additional graduate level assignment**

Valley City State University

Course Number: Spring: CPD-203156, Summer: CPD-204156
You can earn 3 Graduate Level Credits ($150) from Valley City State University for this course. Select “Valley City State University” as the credit type when adding the course to your cart.
**To earn graduate level credit, participants will need to complete an additional graduate level assignment**

Adams State University

Course Number found here
You can earn 3 Graduate Level Credits ($165) from Adams State University for this course. Select “Open Enrollment” as the credit type when adding the course to your cart.
**To earn graduate level credit, participants will need to complete an additional graduate level assignment**

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