Tracking and Inequality: Old Findings and New Directions Adam Gamoran University of Wisconsin-Madison, USA.

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Presentation transcript:

Tracking and Inequality: Old Findings and New Directions Adam Gamoran University of Wisconsin-Madison, USA

Why Do Schools Assign Students to Classes by “Ability”? Seems logical and efficient Students differ in their performance levels, so divide students to match instruction more closely to their needs A narrower range of student performance levels makes it easier to organize the curriculum So why is this problematic?

Problems of Ability Grouping Due to circumstances outside of school, separating students by academic performance may also separate them by race and social class Homogenous classes lack the diversity that may foster rich discussions

Problems of Ability Grouping Although ability grouping is intended to provide equally effective instruction to all students, that rarely occurs Teachers are also tracked Cycle of low expectations Low-level classes as caricatures Emphasis on procedures in low-level classes, discussion in high-level classes

Ability Grouping and Unequal Instruction LowMiddleHigh Discussion time (minutes/lesson) Envisionment (standardized) Revision of content (0-1) Homework (hours/week) Track Level Source: Applebee, Langer, Nystrand, & Gamoran, 2003.

Ability Grouping and Unequal Instruction LowMiddleHighMixed Discussion time (minutes/lesson) Envisionment (standardized) Revision of content (0-1) Homework (hours/week) Track Level Source: Applebee, Langer, Nystrand, & Gamoran, 2003.

Achievement Gaps between High and Low Tracks Source: Applebee, Langer, Nystrand, & Gamoran, 2003.

Problems of Ability Grouping Partly as a result of unequal classroom conditions, inequality between students assigned to high- and low-level classes widens over time

International research finds the same pattern as in the U.S.: Tracking is linked to increasing inequality PISA: Achievement inequality increases more in countries that track students in earlier grades TIMSS: Achievement inequality grows more in countries that use ability grouping between classes International Research

Few experimental studies of tracking have been conducted Mosteller, Light, & Sachs 1996 review 10 studies between Similar pattern though smaller differences.08 s.d. advantage for students in high groups, -.06 disadvantage for students in low groups, compared to students in mixed-ability classes Serious problems of external validity Experimental Studies

Endogenous switching regressions that model the unobserved association between track assignment and track outcomes Tracking widens achievement inequality overall Inequality by socioeconomic origin expands Effect on race inequality depends on measure of tracking IV analyses show smaller effects of tracking, but rest on problematic assumptions Econometric Studies

No effect on achievement productivity Increase in achievement inequality Supporters focus on productivity while critics emphasize inequality Consequences of Ability Grouping

Responses to the Problem Reduce the use of ability grouping, but provide challenging instruction to high achievers Maintain ability grouping, but provide meaningful incentives and effective instruction in low tracks

Responses to the Problem New research suggests promising new directions for both responses Conditions that support successful mixed- ability teaching Conditions that support effective instruction in low groups or tracks

Successful Mixed-Ability Teaching Case study of detracking in a New York school district Carol Burris and colleagues Replaced tracking with mixed-ability teaching in middle and high school math Improved outcomes for low achievers without losses by high achievers

Successful Mixed-Ability Teaching Middle school reform Accelerated curriculum for all students Extra support workshop for struggling students Common planning time for teachers Increased use of calculators

Successful Mixed-Ability Teaching High school reform All students assigned to Regents classes Supplementary class for students who struggled with the more advanced material Met three times each week

Successful Mixed-Ability Teaching Research design Interrupted time series Compares successive cohorts of students in the same school, and to other schools that did not undergo the reform

Burris: High School Results Source: Burris, Heubert, and Levin, 2006.

Conditions that Support Successful Mixed-Ability Teaching Substantial supplementary instruction for low-performing students High school: 50% more instructional time Note: this was an affluent district with few high-needs students Not clear how far the results will generalize

Grouping Students to Close Achievement Gaps New research on grouping systems that close gaps instead of magnifying gaps Carol Connor and colleagues A series of studies on grouping students for early reading instruction

Grouping Students to Close Achievement Gaps Diagnosis and instructional response Assess reading performance Input assessment results to a computer algorithm called “Assessment to Instruction” (A2i) Diagnoses student performance Recommends an instructional response Recommends within-class groupings to facilitate instructional responses

Grouping Students to Close Achievement Gaps Randomized evaluation Teachers in the “treatment” group received the A2i software and training on how to use it Comparison group of teachers who did not receive A2i

Grouping Students to Close Achievement Gaps Results Students whose teachers were assigned to the A2i group outperformed those in the control conditions Low-achieving students received the largest benefits The benefits were greatest for students whose teachers made most use of A2i

Connor: First Grade Results Source: Connor et al. 2007, p. 465.

Grouping Students to Close Achievement Gaps Another approach to maximizing achievement through grouping Optimal matching of teachers and students Annual testing of students can provide evidence of teachers’ contributions to student achievement Are some teachers more effective with one type of students than with others?

Grouping Students to Close Achievement Gaps Requirements for optimal matching Annual achievement data Students linked across years and to teachers Test for differential effects Teachers may not produce the same effects with all students In particular – some may be more effective with high achievers, others with low achievers

Grouping Students to Close Achievement Gaps IF there are differential teacher effects Students may be assigned to teachers who are particularly effective with students with their qualities Students would get teachers who, based on past performance, are expected to bring out the best in them Teachers would get students who are like those with whom they’ve had success

Grouping Students to Close Achievement Gaps Problems with optimal matching Not clear there are differential effects, or that they are widespread What if many teachers are especially effective with high achievers, but few are especially effective with low achievers? Not clear that assessments are good enough to be meaningful No study has examined this in practice

Conclusions “Neither tracking nor heterogeneous grouping is necessarily good or bad. The effectiveness of grouping depends on the specific situation and the needs within a school.” -- National Education Association, 1990

Conclusions Under the best of circumstances, both approaches can be successful It is not clear whether the best circumstances can be widely implemented

Citations for this presentation may be found in: “Tracking and Inequality: New Directions for Research and Practice,” in M. Apple, S.J. Ball, & L. Gandlin (Eds.), Routledge International Handbook of Sociology of Education (2010). “Designing Instruction and Grouping Students to Enhance the Learning of All: New Hope or False Promise?” in M. T. Hallinan (Ed.), Frontiers in Sociology of Education (2011).