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e-Learning for Educators - Data-Driven Decision Making: Using Objective Measures to Improve Student Learning

This course is offered as a part of the e-Learning for Educators project, a partnership between LEARN NC, The Friday Institute for Educational Innovation at North Carolina State University College of Education, UNC-TV, DPI, and the North Carolina Virtual Public School. This material is based upon work supported by the U.S. Department of Education under Grant No. U286A050018.

This course is part of LEARN NC's catalog of online courses for teachers. Please see the current offerings at the bottom of this page for information about when it may next be taught.

About this course

Disability Statement

If you have a learning or other disability and you want to request special accommodations to ensure equal access to education through LEARN NC, then please contact your instructor. The information that you provide will be kept confidential.

Identifying, analyzing and acting on the right data can help you improve student learning and achievement. In this course you will learn the importance of:

  • Using data to plan appropriate instructional experiences for your students
  • Identifying and analyzing data to understand student learning needs
  • Gathering and analyzing data in a systematic and continuous manner

Prerequisites

None

Course objectives

As part of this workshop, you will:

  • Review data-driven decision-making theory regarding multiple measures of data
  • Analyze intersections of the data to answer questions about student achievement and how to improve student learning
  • Learn to use tools to gather and analyze formative data to identify trends and gaps in learning
  • As a final product, create an action plan to guide instructional change in your own classroom and to improve student learning and achievement

Time commitment

Approximately 2-5 hours per week

Current offerings

Begins February 17.

This course is open for enrollment. Enroll in this course