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Using Data and Early Warning Systems to Improve Student Outcomes

Course #: 02-1113

Price: $16.00

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CE Credit Hours: 4.00 Continuing Education Credit Hours

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How to Take This Course:

  • 1 View Course Worksheet -  View the course worksheet or print it out to review later
  • 2 Read the Course Material -  As you read through, mark your answers on the course worksheet to be prepared for the exam
  • 3 Take Exam -  You must a achieve a score of 75% or higher in order to earn credit for the course.
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Course Description

Course Description

In recognition of the critical need to support educational attainment and graduation, early warning systems have been developed to strategically use data to identify students in need of additional support and interventions that will help improve their success. The purpose of this continuing education course, developed using information from the National Forum on Education Statistics, U.S. Department of Education, is to help state and local education agencies plan, develop, implement, and use early warning systems within their agencies. The course provides a description of early warning systems and illustrates the ways in which these systems can help education agencies act on early warning data to improve student outcomes. In addition, the essential role of timely and actionable quality data in early warning systems is presented as well as case studies from state and local education agencies that have implemented or are in the process of implementing an early warning system.

Course Objectives

1. Define early warning systems, review their use in education agencies, and explain how to adopt an effective early warning system planning process.

2. Illustrate the ways in which these systems can help education agencies act on early warning data to improve student outcomes.

3. Review the role of indicators and quality data in early warning systems and summarize techniques for analyzing early warning data.

4. Analyze trends and innovations in early warning systems, indicators, data, and analytical models.

5. Identify strategies and best practices for education agencies that are considering implementing, or have already implemented, an early warning system.

6. Highlight case studies from state and local education agencies that have implemented or are in the process of implementing an early warning system.


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Proprietary Interest Policy

We will disclose, in advance, any proprietary interest in any product, instrument, device, service, or material to be discussed during the learning event, as well as the source of any third-party compensation related to the presentation. This policy applies to both our organization and contractors. If such proprietary/financial interests exist, we will publish a disclaimer in marketing or instructional materials for a course.

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