Mindee O’Cummings National High School Center

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Presentation transcript:

Mindee O’Cummings National High School Center Using Early Warning Systems to Target Tiered Interventions for Dropout Prevention Mindee O’Cummings National High School Center www.betterhighschools.org

Sobering Statistics… Nearly one-third of all high school students leave the public school system before graduating 1.2 million students drop out of high school each year – that’s 12 million over the next decade 7,000 students drop out of high school every day 15% of the high schools in the U.S. produce 50% of our dropouts – schools Balfanz and Legters call “dropout factories” Balfanz, R. and Legters, N. (2006, July 12). The graduation rate crisis we know and what can be done about it. Retrieved online from http://web.jhu.edu/CSOS/graduationgap/edweek/Crisis_Commentary.pdf www.betterhighschools.org

Economic Consequences A new high school dropout in 2000 had less than a 50% chance of getting a job That job earned less than half of what the same job earned 20 years ago Lack of education is strongly correlated with welfare dependency and incarceration Cutting the number of dropouts in half would reap $45 billion in revenues and decreased costs (Levin et al., 2007) www.betterhighschools.org

Early Warning Systems Early warning systems (EWS) use readily available data housed at the school to: Predict which students are at-risk for dropping out of high school Target resources at the school and district level to support off-track students while they are still in school, before they drop out Examine patterns and identify school climate issues that may contribute to disproportionate dropout rates at a subset of high schools or within subpopulations of students www.betterhighschools.org

9th Grade is a Critical Year Ninth grade is a “make or break year” More students fail 9th grade than any other grade in high school A disproportionate number of students who are held back in 9th grade subsequently drop out By the end of 9th grade or even during the first semester, powerful indicators exist that can predict whether students will complete high school: Engagement Course performance Chicago’s “On-Track” Indicator Herlihy, C. (2007). State and district-level supports for successful transition into high school. Washington, DC: National High School Center. Allensworth, E., & Easton, J.Q. (2007). What matters for staying on-track and graduating in Chicago Public High Schools: A close look at course grades, failures and attendance in the freshman year. Chicago: Consortium on Chicago School Research. www.betterhighschools.org

Key 9th Grade Indicators Engagement Attendance/ absenteeism Course Performance Course grades Number of credits earned “On-track” Indicator Core course performance & accumulated credits Research from several U.S. school districts provides a strong foundation for defining 9th grade warning signs that students might drop out, but local adaptation is key www.betterhighschools.org

“High-Yield” Academic Indicators: Attendance www.betterhighschools.org

“High-Yield” Academic Indicators: Course Failures www.betterhighschools.org

“High-Yield” Academic Indicators: GPA www.betterhighschools.org

Chicago’s “On-track” Indicator Students are “on-track” if they: have not failed more than one semester long core course, AND have accumulated enough credits for promotion to the 10th grade. Number of Semesters with Fs in Core Courses # of Credits Accumulated Freshman Year Less than 5 5 or more 2 or more courses Off-track 0 or 1 courses On-track www.betterhighschools.org

On-Track Indicator Source: Allensworth & Easton (2005) www.betterhighschools.org

“High Yield” 9th Grade Indicators Benchmark (red flag) Absenteeism Missing 10% or more of instructional time Course failures One of more failed courses Grade point average 2.0 or lower (on a 4-point scale) “Off-track” Fail two or more semester core courses, or accumulate fewer credits than the number required for promotion to the 10th grade www.betterhighschools.org

Implementing the EWS Process STEP 1 – Establish Roles and Process STEP 2 – Use the EWS Tool  STEP 3 – Analyze EWS Data STEP 4 – Interpret EWS Data STEP 5 – Apply Interventions STEP 6 - Reflect and Revise www.betterhighschools.org

Step One: Establish Roles and Process EWS teams should include school- and district-level individuals who have: Authority to make decisions Knowledge of diverse students Expertise to manage and analyze data Information about strategies www.betterhighschools.org

Step Two: Use the EWS Tool Routinely available data are good predictors of whether a student is likely to drop out of high school First-month absences, in addition to end of the semester grades, are additional strong predictors of dropout The goal is to effectively and efficiently allocate dropout prevention resources to change the odds for students with a high propensity to drop out Not all students at-risk will need all interventions available Analysis of different patterns of risk can help target appropriately EWS data = knowledge to make these decisions www.betterhighschools.org

Step Three: Analyze EWS Data Questions about EWS data: Student-level patterns: What do your data tell you about individual students who are at-risk? School-level patterns: What do your data tell you about how the school is doing? Are students who were flagged from the beginning remaining “off-track” through the year? Are students who were flagged at one reporting period back “on-track” at the next? www.betterhighschools.org

Step Four: Interpret EWS Data Digging deeper than the indicators: Indicators are just observable signals, not root causes Characteristics of students who are flagged can further help target interventions at the appropriate intensity www.betterhighschools.org

Step Four: Interpret EWS Data (cont.) Understanding Characteristics of Students At-Risk Decisions to persist or drop out are affected by multiple contextual factors - family, school, neighborhood, peers. Personal and school factors contribute to success or failure during the freshman year Attendance and course performance problems are distinct indicators in the EWS but are highly interrelated, and both can signal disengagement Student background characteristics are less important in explaining failures than behaviors in high school www.betterhighschools.org

Step Five: Applying Interventions Focus on achievement in core courses Content recovery courses Tutoring as an academic support Tiered approaches Attendance and behavior monitors Advisories and team teaching Counseling and mentoring Small learning communities and school within a school for greater personalization Partnerships between high schools and feeder middle schools Ninth grade transition programs Support for students with disabilities outside of school Career and college awareness Family engagement Community engagement Example Programs that incorporate this strategy: Career Academies Ninth Grade Success Academies STEP Example Programs that incorporate this strategy: Check and Connect PBIS Example Programs that incorporate this strategy: Project GRAD Example Programs that incorporate this strategy: ALAS First Things First Support Center for Adolescent Mothers (Family Growth Center) NGP Talent Development High School Example Programs that incorporate this strategy: ALAS America’s Choice Career Academies Check and Connect Support Center for Adolescent Mothers (Family Growth Center) Middle College High School NGP Quantum Opportunities Program Teen Outreach Program Example Programs that incorporate this strategy: Career Academies First Things First Middle College High School NGP Project COFFEE Talent Development High School Example Programs that incorporate this strategy: Career Academies Learning to Work Program (NYC) Lifelong Options Program (LOP) Middle College High School Project COFFEE RENEW Twelve Together Example Programs that incorporate this strategy: Middle College High School NGP STEP Example Programs that incorporate this strategy: America’s Choice Check and Connect Coca-Cola VYP Interpersonal Relations Personal Growth Class NGP Quantum Opportunities Program School Development Program Talent Development High School Twelve Together Example Programs that incorporate this strategy: America’s Choice Talent Development High School Example Programs that incorporate this strategy: Academic Literacy Program Positive Behavioral Interventions and Supports (PBIS) Rehabilitation, Empowerment, National supports, Education, and Work (RENEW) RTI Strategic Instruction Model Example Programs that incorporate this strategy: ALAS Check and Connect Coca-Cola VYP Interpersonal Relations Personal Growth Class PBIS Project COFFEE Talent Development High School Teen Outreach Program Example Programs that incorporate this strategy: America’s Choice First Things First School Development Program Talent Development High School Example Programs that incorporate this strategy: ALAS Check and Connect First Things First Interpersonal Relations Personal Growth Class Project COFFEE Twelve Together

Tiered Approach to Dropout Prevention Tier Three Individualized Targeted Tier Two Universal Tier One www.betterhighschools.org

New Hampshire's Model Individualized Targeted School-wide Examples: RENEW (Rehabilitation, Empowerment, Natural supports, Education and Work) facilitators Examples: Intervention Team of specialists and administrators will focus on students who exhibit challenging behaviors and who are at risk Examples: Positive Behavioral Supports model (PBS) and Universal Leadership Team including a diverse representation of “opinion-leaders” www.betterhighschools.org

Minnesota’s Model Targeted Selected Universal Examples: Individualized behavior plans, wrap-around services, alternative programs (5% of students) Examples: Interventions build specific skills, school-within-a-school model, or mentoring programs (15% of students) Examples: Extracurricular activities, school-to-work programs, or positive discipline programs www.betterhighschools.org

Step Six: Reflect and Revise During the school year: Regularly, collectively, and systematically Over multiple school years: Validate the indicators to maximize predictive power of the system, e.g. Displayed Early Warning Sign in 9th Grade? Graduated in 4 (or 5) Years? YES NO False Positive (or Effective Intervention) Accurate Prediction False Negative www.betterhighschools.org

More Information: Dropout Prevention Resources www.betterhighschools.org/topics/ DropoutPrevention.asp Contact Information Mindee O’Cummings– mocummings@air.org www.betterhighschools.org