A necessary aside
The one time a district collected the recommendations and then ignored them
Everything so far rests on a comparison that is normally impossible to make. To know whether teacher recommendation is missing capable children, you need to know what happened to the children who were not recommended. Ordinarily you cannot, because not being recommended is the end of the story. The child does not take the course, so there is no result to compare.
One large North Carolina district produced the exception, and the children whose futures it turned on were never told.
One detail makes the record sharper than it looks. Fifth grade recommendations in this district are made before the state test results come back. The forms therefore asked teachers to predict each child's score. Those predictions were written down, and they could be checked.
First, how often the recommendations were right
Among students who went on to score at the top achievement level, teachers' predictions of their performance were correct 61% of the time. That is the headline number, and on its own it is not damning. Teachers were being asked to forecast a score that did not exist yet, and nobody would expect perfection.
The problem is where the errors went. Overall they balanced: teachers over-estimated about as often as they under-estimated. Broken out, they did not balance.
| Students at the top achievement level | Teacher prediction correct |
|---|---|
| White students (n = 1,427) | 65% |
| Non-Asian minority students (n = 892) | 54% |
| Asian students (n = 125) | 70% |
| All students (n = 2,444) | 61% |
Stiff, Johnson and Akos, 2011, Table 6.1. Teachers “incorrectly predicted lower scores than non-Asian minority students actually received at statistically significant greater rates than they did for Asian or white students”.
Then, the same children a year apart
This is the finding that is hard to argue with, because the two rows below describe the same students, assessed by the same profession, twelve months apart. The only thing that changed in between is that the adults doing the assessing had watched these children do mathematics.
| Top-scoring students recommended for the next advanced course | White | Non-Asian minority | Asian |
|---|---|---|---|
| By 5th grade teachers, into the advanced 6th grade course Before the state test results existed |
71% | 12% | 83% |
| By 6th grade teachers, into grade 7 prealgebra After a year in the untracked course |
68% | 61% | 70% |
Stiff, Johnson and Akos, 2011, Table 6.2. Sixth grade teachers recommended 15% more students for the advanced track overall, a figure that includes the 6% they sent straight to algebra. A quarter of the students the fifth grade teachers had placed in the low track received high-track recommendations a year later, and so did every single student they had placed low who had scored above the mean of the students they placed high.
And nobody was held back
The obvious objection to putting every child in the rigorous course is that the strongest students pay for it. They did not. Growth on the state mathematics assessment was compared against matched students in the rest of the district, and the study-group students grew more: in every ethnic group and at every one of the four achievement levels, including the top one, all at p < .001.
What it cost, districtwide
The study also followed the top-scoring fifth graders across the whole district, including the schools that kept tracking, to see who eventually reached algebra in 8th grade.
| Top-scoring 5th graders who reached 8th grade algebra | Share |
|---|---|
| Other students | 59% |
| White students | 51% |
| Hispanic or Latino students | 26% |
| Black students | 19% |
Stiff, Johnson and Akos, 2011, Figure 6.1; p < .001. Fewer than half of all top-scoring students reached 8th grade algebra. Across the district's middle schools the odds ranged from about 20% to nearly 80%, depending only on which school a child attended.
The parent waiver, and why “nothing is stopping anyone” is not an answer
The most common response to all of this is that the door was never locked. A parent who disagreed with a recommendation could sign a waiver and override it. That was true, and the district kept the waivers.
Among students who had scored at the top level for two consecutive years and were nonetheless recommended for the lower track, 98% of whom were formally identified as academically gifted, with mathematics percentile ranks between 93 and 99, here is who exercised the right.
| Parents of high-scoring students recommended for the low track | Signed a waiver |
|---|---|
| Asian families | 83% |
| White families | 44% |
| Non-Asian minority families | 20% |
| Black families | None. Not one waiver. |
Stiff, Johnson and Akos, 2011, Table 6.4.
One more consequence nobody was looking for
Because the advanced course had become the marker of a capable student, its absence became the marker of a struggling one. Fifth grade teachers, the study found, “often assigned minority students to the school district's dropout prevention program, having assumed that minority students who were not in the top math track in middle school must be low scoring in math.” The district later discovered it had assigned a disproportionate number of its top-scoring minority students to dropout prevention, and excluded a disproportionate number from rigorous mathematics and science courses.
That is what a placement decision does when nothing checks it. It does not stay a placement decision. It becomes the school's shorthand for the child.
What the district did about it, and why it did not hold
The response was sensible and local. The district's academically gifted, school counselling, and curriculum and instruction departments sat down together and wrote objective criteria: a student qualified on any two of three measures, a supportive teacher recommendation, a high Level 3 or Level 4 test score, or a grade no lower than 3 out of 4 on the standards-based report card backed by two work samples. Note what that is. It is not the abolition of teacher judgment. Teacher recommendation stays, as one of three routes in.
And once, in one school, somebody simply did it
The same two authors published a companion chapter the same year, about the same district, and it contains a single paragraph worth the whole argument. By then the objective criteria above existed. One middle school had overlooked 103 sixth graders who met them.
No tutoring, no summer programme, no double period, no catching up. They were moved into the top track and they did the work. Many of them had previously been designated low achieving, and some as behaviourally or emotionally handicapped.
They were moved because one adult insisted.
And then the principal was reassigned to a high school.
Why this study answers the objection the others cannot
Studies of what happens when a district adopts a placement rule almost always examine the students right at the cut score, because that is where the statistics are cleanest. Those studies are useful and they are also, structurally, incapable of telling you about the children this piece is about: the ones far above the line who were never recommended at all. This district measured those children, because it collected the recommendations and then declined to act on them.
Sources for this page: Stiff, L. V., Johnson, J. L. and Akos, P., “Examining What We Know for Sure: Tracking in Middle Grades Mathematics”, chapter 6 in Tate, W. F., King, K. D. and Rousseau Anderson, C. (eds), Disrupting Tradition: Research and Practice Pathways in Mathematics Education, Reston, Va.: National Council of Teachers of Mathematics, 2011, 63-75. Tables 6.1, 6.2, 6.3 and 6.4 and Figure 6.1.
Stiff, L. V. and Johnson, J. L., “Mathematical Reasoning and Sense Making Begins with the Opportunity to Learn”, chapter 5 in Strutchens, M. E. and Quander, J. R. (eds), Focus in High School Mathematics: Fostering Reasoning and Sense Making for All Students, Reston, Va.: National Council of Teachers of Mathematics, 2011, from p. 85. The 103 overlooked students and Figure 5.5.
Neither chapter names the district; both describe a large urban school district in North Carolina. The work began as a review by that district's counselling department, which formed the School Counseling/Math Collaborative; Edstar Analytics ran the Data Academies for the school teams. Both chapters are NCTM copyright and are cited and quoted here rather than reproduced.