Remediating Academic Skill Deficits Among Disadvantaged Youth
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|ClinicalTrials.gov Identifier: NCT02673645|
Recruitment Status : Unknown
Verified July 2017 by University of Chicago.
Recruitment status was: Active, not recruiting
First Posted : February 4, 2016
Last Update Posted : July 11, 2017
|Condition or disease||Intervention/treatment||Phase|
|Educational Achievement||Other: SAGA Innovations||Not Applicable|
The University of Chicago Education Lab research team is carrying out a randomized controlled trial of a promising academic intervention during the 2015-16 academic year in partnership with the Chicago Public Schools (CPS) and SAGA Innovations. Male and female CPS students in grades 9 and 10 will be randomly assigned either to receive what investigators believe to be a best-practice intensive academic support, or to a control group receiving status quo CPS and community services, for one academic year (AY2015-16). The intervention is high-dosage math tutoring provided by SAGA Innovations (previously Match Education of Boston). A previous randomized controlled trial conducted by the University of Chicago research team found that one year of this intervention, delivered in AY2013-14, generated between one and two extra years of academic growth in math, over and above what the normal U.S. high school student learns in one year. The estimated effects for math achievement are on the order of 0.19 to 0.30 SD, depending on the exact test and norming used. The intervention also improved student grades in math, by 0.58 points on a 1-4 grade scale, compared to a control mean of 1.77. These gains are particularly important because math success versus failure is a strong predictor of high school graduation.
This current study aims to replicate the investigators' previous findings, and to that end the research team will again look at the academic, behavioral, and long-term effects of this high-dosage math tutoring program on youth. This study is also designed to explore issues that will be central to efforts to scale-up this promising strategy, including variation in tutor quality and whether there are optimal tutor-student and student-student pairings in terms of gender and race.
The SAGA Innovations program expands on the nationally recognized innovation of high-dosage, in-school-day tutoring developed in Match Education's charter school in Boston. The tutoring program meets as a scheduled course, Math Lab, once a day during the normal school day, and is provided in addition to a student's regular math class. Students taking the course receive an elective credit upon completion. Every student works with the same full-time, professional tutor for the entirety of the school year. The content of the tutoring sessions is aligned with what students are learning in their regular math courses, but is also targeted to address individual gaps in math knowledge. Also following the original model developed by Match Education, SAGA tutors use frequent internal formative assessments of student progress to individualize instruction.
In addition to replicating previous studies that suggest the promise of this high-dosage tutoring model for improving the academic outcomes of at-risk youth, this study also aims to provide insight into the ability of this program to serve youth at a much larger scale. Despite the great need for programs that can affect the national dropout crisis and improve youth outcomes, little is known about how to take promising education interventions to scale. This study will begin to explore whether there is a trade-off between effectiveness and scale by randomly assigning students to pairings and randomly assigning pairings to tutors. Tutors will be separately ranked from highest to lowest quality by SAGA leadership, and by randomly assigning tutors to students, the investigators will be able to explore what effect, if any, tutor quality has on student outcomes. In addition, this study will look at whether gender and race composition of student-tutor pairings and student-student pairings has an effect on outcomes. This work will enable the investigators to begin to learn about variation in tutor effectiveness and the optimal way to match kids to tutors. The research team hopes this work will have important implications for how to scale this promising strategy both within Chicago and beyond.
|Study Type :||Interventional (Clinical Trial)|
|Estimated Enrollment :||1848 participants|
|Intervention Model:||Parallel Assignment|
|Masking:||None (Open Label)|
|Study Start Date :||August 2015|
|Estimated Primary Completion Date :||June 2018|
|Estimated Study Completion Date :||June 2019|
No Intervention: Control group
These youth will receive standard mathematics instruction and support, but not the intensive tutoring offered through the intervention.
Experimental: SAGA Innovations
These youth will receive the intensive mathematics tutoring by SAGA Innovations, with students randomized to tutors.
Other: SAGA Innovations
An intensive math tutoring program.
- Math achievement [ Time Frame: 1-year ]Performance on math standardized achievement test scores
- Absentee rate [ Time Frame: 1-year ]Number of school absences, obtained from Chicago Public Schools (CPS) administrative database
- Student misconduct [ Time Frame: 1-year ]Number of school misconduct infractions, obtained from Chicago Public Schools administrative database
- Total courses failed [ Time Frame: 1-year ]Number of total school courses failed, obtained from Chicago Public Schools administrative database
- Math courses failed [ Time Frame: 1-year ]Number of math courses failed, obtained from Chicago Public Schools administrative database
- Non-math courses failed [ Time Frame: 1-year ]Number of non-math courses failed, obtained from Chicago Public Schools administrative database
- Math course grades [ Time Frame: 1-year ]Math course grades, obtained from Chicago Public Schools administrative database
- School persistence [ Time Frame: 1-year ]Measure from CPS student records of school persistence (enrollment or graduation status by end of academic year)
- Violent crime arrests [ Time Frame: 1-year ]Number of violent crime arrests, obtained from Chicago Police Department and Illinois State Police administrative databases
- Other arrests (property, drug, and other crimes) [ Time Frame: 1-year ]Number of non-violent crime arrests, including property crimes, drug crimes, and other crimes, obtained from Chicago Police Department and Illinois State Police administrative databases
- Quarterly earnings data [ Time Frame: 1-year ]Quarterly earnings collected by the Illinois Department of Employment Security, maintained for the state unemployment insurance system
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02673645
|Principal Investigator:||Jonathan Guryan, PhD||Northwestern University|
|Principal Investigator:||Jens Ludwig, PhD||University of Chicago|
|Principal Investigator:||Kelly Hallberg, PhD||University of Chicago|