Early Warning And Intervention: Reaching Students Before Major Negative Events Happen

The broadcast will begin at 3:30 PM ET. If you are having difficulty streaming the video, refreshing the web page at 3:30 PM may resolve this issue. An archived version of the show will be available. If you experience trouble streaming, please email ndpc@dropoutprevention.org. We will try to get you up and watching as quickly as possible!

Webcast Details

Aired on: March 8th, 2016

3:30–4:30 p.m. (ET)

Presentation Slides

How to Interact with the Show

Email
ndpc@dropoutprevention.org

Twitter
Tweet @NDPCn or #NDPCn during the show.

Forum
Sign into the Disqus forums at the bottom of this page with your Facebook, Twitter, or Google account to post comments and ask questions.

Our Guest(s) This Week

Dr. Mariam Azin

Dr. Mariam Azin is President of Planning, Research & Evaluation Services (PRES Associates), a national research and evaluation firm with offices in Arizona and Utah. Dr. Azin has more than 20 years of work experience conducting evaluations and research in the areas of education, social services and mental health. Currently, she is the principal investigator on the federal Project AWARE grant, a major goal of which is to expand capacity at the state and local level to make schools safer and improve school climate. She has been principal investigator on numerous local, statewide, and national evaluation efforts related to at-risk students; school climate; educational technology; and professional development, including serving as principal investigator on several Safe Schools/ Healthy Students grants, designed to provide comprehensive, seamless services to at-risk students and their families. Dr. Azin has conducted a substantial amount of research in the areas of early warning, school climate and contributors to successful early intervention with students starting to show signs of risk. Much of her research has been integrated into BrightBytes' Clarity Early Warning platform, currently in use with nearly 500,000 students nationwide.

This Week's Topic

Students who are becoming disengaged from school and are at risk for dropping out and other major negative events typically show signs years in advance. Such signs of risk may be more subtle in the beginning, but tend to grow in breadth, frequency, and severity if unaddressed over time. While there is an inherent tendency to always focus on “putting out the fires,” how do we move our systems more towards “fire prevention”?

This session will share cutting edge research on how “risk” manifests itself differently across the K-12 lifespan of a student. Implications for embedding effective early warning and interven- tion systems will be discussed. This broadcast will:

•Explore the nature of “risk”—what it is, how it can be operationalized, and how it tends to manifest itself over the lifespan of a student.

• Provide an overview of the latest research and technology developments as they pertain to early warning systems (EWS), including key attributes necessary to promote the effectiveness and desired impact(s) of early warning systems.

• Enable participants to gain an understanding of common pitfalls and barriers to dropout prevention efforts and common reasons why some efforts may not produce the intended effects.

Resources:

Presentation Slides  pdf

Information on Interventions: 

U.S. Department of Education “Early Warning Timely Response: A Guide to Safe Schools”. http://cecp.air.org/guide/guide.pdf This resource talks about the effectiveness of timely response to early signs of risk pdf
.

Kennelly, L. and M. Monrad (2007). Approaches to dropout prevention: Heeding early warning signs with appropriate interventions. Technical report, National High School Center, Washington D.C. http://www.betterhighschools.org/docs/nhsc_approachestodropoutprevention.pdf pdf
.

The IES What Works Clearninghouse conducts reviews on the different programs, products, practices, and policies in education. Focusing on the results from high-quality research, they try to answer the question “What works in education?” including Dropout Prevention Programs.” http://ies.ed.gov/ncee/wwc.

Information on Early Warning Systems

This is an example of next generation early warning systems that are research-based and data driven, utilizing a predictive analytics framework: http://brightbytes.net/solutions/early-warning/

Jerald, C. D. (2006). Identifying potential dropouts: Key lessons for building an early warning data system. Technical report, Achieve, Inc., Washington D.C. http://www.jff.org/sites/default/files/IdentifyingPotentialDropouts.pdf pdf

Additional article on the use of predictive modeling in promoting more accurate identification of potential dropouts: Examining the Multiple Trajectories Associated with Dropping Out of High School

Kennelly, L. and M. Monrad (2007). Approaches to dropout prevention: Heeding early warning signs with appropriate interventions. Technical report, National High School Center, Washington D.C. http://www.betterhighschools.org/docs/nhsc_approachestodropoutprevention.pdf pdf