Please Note: This course has varying hours depending on the type of credit you need. See Below.
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.
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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