Coursetaking
& Achievement in Mathematics and Science:
Inequalities that Endure and Change
Jeannie
Oakes, Kate Muir, Rebecca Joseph
UCLA
Paper
prepared for the National Institute of Science Education
July
2000
Abstract
A review of research on equity in mathematics and science coursetaking
and achievement reveals that, in a decade of policies pressing for high
standards in schools that remain separate and unequal, we’ve made some
progress in raising the levels of coursetaking and achievement of all racial
groups. At the same time, however,
we’ve done little to reduce the gaps among them. While the increases are encouraging, they have served to
raise standards for admission to competitive colleges in ways that prevent most
low-income and minority students from translating their improved accomplishments
into enhanced educational and life chances.
Our review also supports the claim made last year by the Task Force on
Minority High Achievement that we have learned a great deal “about how
minority educational outcomes can be improved, despite having made only modest
investments in educational R&D” (The College Board, 1999, p. 14).
We concur with the Task Force’s recommendation that we must “redouble
our efforts and our investments” to promote minority opportunities and high
achievement (p. 14). To forward
this agenda, we offer a set of research questions about the general educational
system as well questions specific to math and science education.
We believe that both types of questions are necessary as researchers and
policy makers implement what we already know and mount new, vigorous initiatives
to learn more and do more to achieve equitable course taking and achievement.
Introduction
In July 1999,
Rasheda Daniel and three of her fellow students at Inglewood High School in
Southern California launched a legal challenge to achieve equitable access to
Advanced Placement (AP) courses. Represented by the American Civil Liberties
Union (ACLU) of Southern California, the Inglewood High School students filed a
statewide class action lawsuit against their school district and the State of
California. (See Daniel v.
California, No. BC 214156). Their
complaint states that this differential access to AP classes denies Rasheda
Daniel and a class of primarily low-income students of color equal educational
opportunity. Like students at
many other comprehensive urban high schools serving primarily poor, African
American and Latino students, Rasheda Daniel and her schoolmates could not
enroll in AP classes in math and science, because Inglewood High School did not
offer AP courses in these core academic subjects.
Indeed, at the time of the suit’s filing, Inglewood High School offered
only three AP courses, none in math or science.
By contrast, other California public high schools like Beverly Hills High
School and Arcadia High School, which serve large numbers of White and affluent
students, offered more than 14 different AP courses, including Calculus,
Computer Programming, and Physics. Without such access, Rasheda and her lawsuit
peers claim they would be severely disadvantaged when seeking admission to
competitive universities.
The
Daniel case demonstrates that unequal access to mathematics and science course
taking and achievement remains a serious, self-evident problem in K-12 schools.
Moreover, the case also illuminates that the face of the problem has
changed significantly over the past decade and that possible solutions are less
than straightforward. The case and
its proposed remedy reveal both what we know and what we don't about the
enduring, yet changing, relationship among diversity, mathematics and science
course taking, achievement, and equity.
In
what follows, we review research from the past decade that has examined various
dimensions of this persistent and troubling problem.[1]
Our review reveals that, although both achievement and coursetaking have
increased for all groups, serious gaps
remain. Those gaps relate, at least
in part, to persistent race- and social class-linked inequalities in
opportunities to learn between schools and within them.
This finding suggests that, while, continuing to add and/or require
additional mathematics and science coursework may have some ameliorative effects
in the future, these solutions won’t touch the core of the inequality problem.
At
the same time, considerable work studying curricular reforms and equity-minded
interventions suggests a number of strategies for bridging the gaps in
coursetaking and achievement. We’ve
also learned that translating effective strategies into wide-scale school change
is enormously challenging. In
addition to new curricula, teaching strategies, and supplemental supports for
low-income students and students of color, reducing inequality will require
significant shifts in the current low educational expectations our culture holds
for low-income students and students of color and in our political unwillingness
to provide them high quality schooling.
We
conclude from this review that we need to better understand the practices that
will lead to more equitable patterns of course taking and achievement.
However, we also need far more knowledge of these cultural and political
dimensions of the problem. Because
all of these areas would profit from further investigation, we offer a list of
some questions that we find to be most promising for this future work.
We
begin, however, by sketching the larger social and political context that helps
us see how and why inequality has remained robust in the face of the increases
in coursetaking and achievement.
Educational
Equity in the 1990s--Broad Themes
Three
themes emerged repeatedly in our examination of the past decade’s research on
the relationship between equity, math and science coursetaking, and achievement:
1) the press for standards and accountability; 2) the still separate and still
unequal K-12 education system; and 3) the redefinition of college eligibility. We describe these themes to provide a context for our
discussions of what we’ve learned from research and what we still need to
know.
Press for Standards and Accountability
Despite the Reagan administration’s attempt to minimize the federal role
in education, the late 1980s and 1990s witnessed an increased national emphasis
on national goals and national standards for education, and, under the rubric of
"systemic reform," the alignment of these national policies with state
accountability systems. Anxiety
about potentially powerful competitors in the new global economy triggered a
national conversation about what American students should know and be able to do
to ensure our prosperity and pressed diverse groups of subject matter experts
and policymakers to develop, implement, and adopt a standards-based approach to
education reform.
The National Council of Teachers of Mathematics (NCTM) was both the first
and the most recent group to release national goals and guidelines (NCTM, 1989,
2000). In the field of science two
organizations released documents that guide reform, the American Association for
the Advancement of Science (AAAS) Project 2061’s Benchmarks for Science Literacy (AAAS, 1993) and the National
Research Council’s (NRC) National
Science Education Standards (NRC
1996). Equity issues were salient,
albeit contentious, in the framing of these documents, and the emerging
foundation of these standards states that all students can learn high level math
and science. For example the underlying principle of the National
Science Education Standards reads:
Science is for all students. This principle is one of equity and excellence. Science in our schools must be for all students: All students regardless of age, sex, cultural or ethnic background, disabilities, aspirations, or interest and motivation in science, should have the opportunity to attain high levels of scientific literacy (NRC, 1996, p. 20).
While
we do not yet know the full impact of the movement for high standards on equity
in coursetaking and achievement, we’ve already seen a significant reduction in
the number of low-level mathematics and science classes and an increased press
for all students to complete Algebra 1 in high school.
However,
the same climate that produced an emphasis on higher educational standards also
produced a rapid expansion of statewide accountability programs.
These programs feature high stake assessments to hold students, teachers,
and schools accountable for meeting academic standards set by the states (Hanushek,
1994; Ladd, 1996; Millman, 1997). To
give these systems teeth, the accountability systems often include dire
consequences for failure to meet the standards: grade retention or failure to
earn a high school diploma for students and reconstitution or state-over for
schools. Increasingly, however,
analysts worry that these programs will have a disproportionately negative
effect on low-income minority students. Recent
studies suggest that standards-based accountability reforms can serve to widen
the gap between these students and their more advantaged peers in their access
to significant mathematics and science opportunities and achievement, even as
the gap on basic skills tests may narrow. For
example, high stakes assessments, like those used in Texas, lead to students in
low-income schools receiving significantly less science instruction and
low-level math instruction at all levels in the K-12 educational system (McNeil
& Valenzuela, 2000).
We
will return later to the impact of reform on achievement and course taking.
Here, we simply note that the past decade’s standards and
accountability reforms nearly affect every effort to achieve equity in
opportunities and outcomes.
Still
Separate and Still Unequal
In
the last 10 years, as our nation became more diverse and multicultural,
different responses emerged to address these societal changes.
Increased segregation has been one.
Urban schools, for example, are more likely than ever to serve a
population of low-income, minority students, given increased residential
segregation and recent court decisions releasing schools across the country from
desegregation orders (Orfield & Yun, 1999).
Segregated minority schools remain less
likely to offer access to upper courses, despite considerable recent evidence of
the benefit of rigorous curricula for all students, regardless of their
educational backgrounds (Adelman, 1999). Research
in the past decade also demonstrates that, while a school’s ability to enable
students to succeed in a rigorous curriculum depends on its teacher corps,
schools serving minority and low-income students are least likely to have highly
qualified faculties (Darling-Hammond, 2000; Ferguson, 1998, 1991; Greenwald,
Hedges, & Laine, 1996; Murnane, 1996; Wright, Horn, and Sanders, 1997).
The very real teacher shortage in many parts of the nation, coupled with
policies that discourage teachers from working in racially segregated minority
schools, means that fewer well-qualified teachers are available to teach
students of color in segregated schools. Moreover,
schools serving low-income students of color have yet to counter the growing
"digital divide" that brings race and social class inequity in access
to technology (Educational Testing Service Policy Information Report, 1997).
Additionally, counseling shortages in urban schools impact both the quality and quantity of advisement for low-income students. This lack, combined with the pervasiveness of tracking, restricts these students access to challenging mathematics and science classes. For, despite numerous efforts to detrack K-12 education institutions since the mid-1980s, tracking still exists and thrives in schools across the country (U.S. Commission on Civil Rights, 1999). Within racially mixed schools, minorities are still disproportionately overrepresented in low-level courses and underrepresented in critical courses. An ironic impact of the detracking movement may be the dramatic increase and emphasis on Advanced Placement courses and testing in the past decade (Oakes, Welner, Yonezawa, & Allen, 1998). As schools began to eliminate some of their lower level courses, many middle class parents sought ways to maintain their children’s perceived competitiveness for college. As a result, the math and science pipelines began earlier and became more extensive, with college-bound students taking Algebra I in eighth grade and ending their high school career in Advanced Placement courses, including calculus.
College
Eligibility—An Ever Rising Bar
Changes
in college admissions make it far more difficult for students lacking access to
rigorous K-12 mathematics and science education to qualify.
Most salient, the national movement to discredit and dismantle
affirmative action in college admissions has increased the importance of K-12
academic achievement, particularly for low-income students of color.
Minority admissions to public universities in California and Texas have
declined significantly since those states banned the use of racial preferences
in their admissions’ processes (Orfield & Miller, 2000).
As a result, minority enrollment in college preparatory courses is even
more important than ever.
Relevant
here, too, is that AP classes have become an increasingly important factor in
college admissions. For example, in
the past decade alone, the number of AP exams taken in California almost has
tripled from 78,379 in 1989 to 203,523 in 1999. The increase in California can
be traced to the decision of the University of California in 1984 to boost
student grades in AP classes when calculating student grade point averages for
university admission. While
California's rate of AP participation exceeds that of most other states, it is
not alone in this trend. Moreover
as the demand for college increases, policy makers, educators, and members of
the public now expect a highly competitive admissions process to elite
universities. Further, most people
recognize that college preparatory curricula must now include AP courses. Because these new expectations emerged without planning or
publicity, only certain high schools—primarily those serving more advantaged
populations—have been in the position to embrace them.
Without a plan for supporting schools to realize these new expectations,
the state transformed the rules of the game in a way that negatively impacts its
poorest and most vulnerable communities (Oakes et al, 2000).
What
We Know from Research about Course Taking and Achievement
Whether
you view the glass as half empty or half full, positive trends exist in
mathematics and science coursetaking and achievement.
First, we will note these positive trends and then describe other
patterns that have developed over the past 10 to 15 years. Then we analyze
coursetaking patterns. Within these
positive trends, patterns of differential access both between schools and within
schools to math and science coursetaking continue to disadvantage poor children.
Trends in Achievement
As Rodriguez (1997a) states, “There is cause for cautious celebration regarding student achievement in science” (p. 13). Positive patterns occurred in mathematics achievement as well. Over the last 20 years, scores on the science and math portions of the National Assessment of Educational Progress (NAEP) have increased for all student populations. From 1973 to 1996, all ethnic groups increased their NAEP math and science with the greatest increases for all tested age groups in both subject areas occurring in the 1970s and 1980s (Synder & Hoffman, 2000). Figures 1 and 2 display NAEP scores for thirteen-year-olds in math and science respectively.
INSERT FIGURES 1 & 2
Other positive trends in NAEP assessments include the steady disappearance of a gender gap in science achievement and the almost non-existent gender gap in math achievement. For example, 1996 male and female students’ science scores in grades 4 and 8 “did not differ to a statistically significant degree” (O’Sullivan et al., 1997, p. 28). And even though 1996 students in grade 12 males on average scored higher on the NAEP science assessment than their female peers (National Science Foundation [NSF], 1999), the gender gap is one of the smallest internationally as reported by the Third International Mathematics and Science study (U.S. Department of Education, 1998).
Despite these science and math gains in NAEP, performance gaps persist between white students and Hispanic students (National Science Board, 2000; NSF, 1999; Rodriguez, 1997a; Synder & Hoffman, 2000). In fact, 13 year olds scored slightly lower in science than white 9 year olds” (Synder & Hoffman, 2000). A gap also exists in achieving advanced scores on NAEP tests. Table 1 displays the 1996 math and science NAEP test scores for twelfth graders. and Hispanic students do not score at the advanced level in math, and only one percent of Hispanic students score at the advanced level in science. Socioeconomic gaps occur as well; Title I students and students receiving free or reduced lunch score lower than students ineligible for these benefits.
Table
1 Percentages of twelfth-grade students within the Proficient and Advanced
achievement ranges on the NAEP 1996 math and science tests.
|
|
Proficient |
Advanced |
||
|
|
Math |
Science |
Math |
Science |
|
White |
18 |
24 |
2 |
3 |
|
|
4 |
4 |
0 |
0 |
|
Hispanic |
6 |
6 |
0 |
1 |
|
Asian |
26 |
19 |
7 |
3 |
|
Native American |
3 |
10 |
0 |
0 |
Source: The College Board, 1999
Moreover, minority groups exhibit gender gaps that raise troubling
questions about the overall patterns of decreasing gaps that we noted earlier.
Underrepresented minority males fall far behind their female counterparts
in achievement and attainment. That
males earned only 36 percent of the bachelor’s degrees accorded to African
Americans in the mid-1990s attests to a pattern of differential achievement
among males and females from the earliest grades (The College Board, 1999).
Trends in Course Taking
Who has access to mathematics and science courses and who is taking them? These are the questions to which we now turn. Minority enrollment and completion of advanced level math and science courses dramatically increased during the past twenty years. The percentages of and Hispanic high school graduates taking Algebra II more than doubled from 1982 to 1994. As Figure 3 demonstrates, Calculus course taking doubled as well. In science almost all high school graduates take biology (93 percent in 1994) as compared to only 77 percent in 1982 (NSF, 1999). Changes in chemistry enrollment are shown in Figure 4.
INSERT
FIGURES 3 & 4
Despite these tremendous gains, great differences still exist among racial/ethnic groups. Aggregated data from 1998 show similar patterns in advanced mathematics (an aggregate of trigonometry and calculus) and advanced science (Chemistry II and Physics II) coursetaking. Asian students take advanced mathematics (56 percent of high school graduates who took these courses) and advanced science (17 percent) more often then their high school peers (see Table 2).
|
Table
2 Percentage of high school graduates who took advance mathematics or
science courses 1998 |
|||
|
Race-Ethnicity |
Advanced Mathematics |
Advanced Science |
|
|
White |
45 |
7 |
|
|
|
30 |
5 |
|
|
Hispanic |
26 |
6 |
|
|
Asian/ Pacific Islander |
56 |
17 |
|
|
American Indian/ Alaskan Native |
27 |
2 |
|
Source: NSF, 1999
On the remedial end, “Black and Hispanic high school graduates in 1994 were far more likely than white and Asian students to have taken remedial mathematics courses: 31 percent of Blacks, 24 percent of Hispanics compared to 15 percent of whites and Asians” (NSF, 1999, p. 16). On the honors or advanced end, Asians far outpaced other racial/ethnic groups in advanced mathematics coursetaking (NSF, 1999, p.16).
Similar patterns occur in science coursetaking. Moreover, an apparent gender gap occurs in the type of science enrollment—“Females were slightly more likely than males to have taken biology and chemistry and males were more slightly more likely than females to have taken physics” (NSF, 1999, p. 12). Madigan (1997) also notes that males were more likely to have taken physics than their female peers.
These gaps among groups in Table 2 are actually far larger than these numbers show. Low-income students of color, and particularly Latino youth experience far higher dropout rates than their more white and Asian peers. The Latino dropout rate, for example, hovers around 50 percent. Consequently, figures showing the participation of students of high school age in the population at large would show significantly greater gaps in participation.
These achievement and coursetaking gaps are unnecessary and dangerous (Education Trust, 1998). They are unnecessary because low income students and minority students will achieve at the highest levels, given appropriate learning opportunities and support, and dangerous because we cannot afford the loss of these students’ talents and future efforts. While the gaps narrowed in the late 1970s and 1980s, they stagnated in the 1990s. We turn now to explanations of why these tenacious gaps remain.
Why
Do Inequalities Persist? Between
School Differences
A student can only take a high level class in science and mathematics if his or her school offers such classes or if his or her school opens up access to these courses to all students. In other words, how far a student can go down either the mathematics or science pipeline depends on his or her access to particular courses. We will focus on high-level gatekeeping courses such as Algebra II and calculus in math and physics and chemistry in science to elucidate patterns of access and non-access to such courses. We find that, despite the standards movement, segregated minority schools remain less likely to offer access to upper level math and science courses. Many schools do not offer math beyond Algebra II. Many schools do not offer three basic lab science classes. Poor and minority students form a disproportionate number of students affected by these differences in coursetaking opportunities (Oakes, 1990a).
For example, participation in advanced courses differs by a school’s SES level (Ma & Willms, 1999). “With all factors being equal, students were more likely to pursue advanced mathematics if they attended a high SES school than if they attended a low SES school” (Ma and Willms, 1999, p. 379). Similarly, using data from two sources—the National Education Longitudinal Study of 1988 (NELS: 88) and the High School Effectiveness Study (HSES)—Lee, Burkham, Chow-Hoy, Smerdon & Geverdt (1998) define types of schools based on average pipeline completion. Two types relate to our discussion: “low-progress schools” (15.8 percent of the sample) and the “high-progress schools” (17.4 percent of the sample). Low-progress schools, all public schools, include schools in which the average progress through the mathematics pipeline ends at algebra. Most of these schools feature high minority enrollments (40 percent or more minority students), and on average have lower achieving students. High-progress schools, of which 14 percent are public, are defined as schools where all students reach calculus. All high progress schools offered calculus “but less than half of the low-progress schools offer this course” (Lee et al., 1998, p. 21). Low- progress schools offered “nearly twice as many math courses below algebra as high-progress schools” (Lee et al., 1998, p. 21).
Similar patterns occur in science course offerings. Differentiating schools by community type, Matti and Weiss (1994) found that students in disadvantaged urban schools along with many of their rural peers "were less likely to have the opportunity to take advanced science courses” (p. 37). Students from low SES backgrounds in NELS: 88 were clearly less likely than those from high SES backgrounds to take eight or more semesters of science or to take physics” (Madigan, 1997, p. 11).
These gaps extend to Advanced Placement courses.
Oakes and her colleagues (2000) found that high schools across the state
of California vary greatly in their AP offerings. Some high schools offer multiple sections of more than 14
different AP courses. Many other
California high schools offer only a single section of 2 or 3 different AP
courses with 177 California high schools not offering any AP classes.
While these differences in AP offerings correlate to several factors
including school size and location, they clearly correspond to a high school’s
racial composition. Comprehensive
urban high schools that serve predominantly poor Latino and African American
students typically offer far fewer AP courses than suburban high schools of
comparable size serving predominantly White and middle class students.
Regardless of high school size, the availability of AP courses decreases
as the percentage of African Americans and Latinos in the school population
increases (Oakes et al., 2000). Moreover,
differential access to AP classes is most stark and most consequential in
mathematics and science. The
following table shows that schools that enroll a predominately African American
and Latino student population offer far fewer offerings than schools that serve
predominantly white and/or Asian students.
Table
3: Disparities in Math and Science Offerings
|
Percent
African American & Latino |
Number
of AP Math/Science Offerings |
|
Greater
than 70% |
3.8 |
|
Less
than 30% |
5.3 |
Source: Tomas
Rivera Center, 1999
The Same
Courses Differ Between Schools
As early as 1980 researchers commented on the curricular differences in schools with varying levels of socioeconomic status (SES). These differences continue, and may be made worse, ironically, by standards-based accountability systems.
Content Differences. High
poverty elementary school curricula often focus on basic facts and skills, while
affluent school curricula provide access to richer, problem-based learning and
"enrichment" activities. For example, Anyon noted differences in elementary school
curricula between what she termed a “Working Class School” and an
“Executive Elite School” (Anyon, 1980).
In particular science and math instruction differed at these two types of
schools. Teachers at the Working
Class School used procedure driven techniques in their classes and often failed
to gauge whether their students understood what they were making or doing.
In science, “children were never called upon to set up experiments or
to give explanations for facts or concepts” (Anyon, 1980, p. 75).
In contrast at the Executive Elite School, teachers expected students to
develop ”analytical intellectual powers” (p. 83).
In math, teachers encouraged students to evaluate each other’s decision
making strategies; in science, as an Executive Elite School teacher explains,
students “generate hypotheses and devise experiments to solve the problem”
(p.86 ).
Later
studies confirm Anyon’s findings, of teachers in low SES elementary schools
emphasizing less on problem solving and inquiry skills than their higher SES
peers. (Matti & Weiss, 1994; Oakes, 1990a). Increased emphases on standardized testing in many states
exacerbate these differences, with teachers teaching towards basic skills
necessary to achieve well on statewide assessments (McNeil & Valenzuela,
2000). Often, elementary teachers
in low SES schools eliminate most science instruction to focus on basic reading
and math skills (McNeil & Valenzuela, 2000). In states that mandate performance based assessments
including portfolios, some improvements in access to higher level math and
science instruction and curriculum do occur in low-income elementary schools
(Darling-Hammond, 1997; Koretz, Mitchell, Barron & Keith, 1996; Stecher
& Mitchell, 1995).
In
high-poverty and high-minority secondary schools, courses offer less content
coverage, depth, and laboratory. In
a recent study, for example, Lee and her colleagues, determined that
“disadvantaged students . . . are often found in classrooms that emphasize
lower-order skills, basic knowledge, drill and practice, recitation, and desk
work” (Lee, Smith and Croninger, 1997, p. 130).
Similarly, Weiss (1994), replicating Oakes' 1990 findings, found that
math and science teachers in classes with high proportions of minority students
are more likely than others to emphasize standardized test preparation (these
tests often focus on low level skills) and less likely to attempt to prepare
students for further study in these fields.
For example, examining High School and Beyond data, Adelman concluded
that Algebra II classes in high poverty schools often resemble Algebra I classes
found in more affluent schools (Adelman, 1999).
Teacher
Quality Differences. Teacher
quality differences accompany course-offering differences.
Generally, students in high poverty schools often have less qualified
teachers than their suburban peers, and these trends are most extreme in math
and science. Forty percent of math
teachers and 20 percent of science in high poverty schools teach out of field as
compared to 28 percent and 14 percent, respectively, in low poverty schools (Ingersoll,
Han & Bobbitt, 1995). Out-of-field teachers and uncertified teachers are
more likely to have onerous teaching loads.
Their lack of experience and expertise makes them more likely to rely
heavily on textbooks and short answer questions.
Consequently, they spend less time developing students’ critical
thinking skills and attending to students’ interests.
Importantly, districts with low-income students
often pay less and offer poorer working conditions (larger class sizes, more
bureaucratic regulations, and less teacher autonomy) that make them less able to
attract and retain qualified urban teachers (Darling-Hammond, 1997; Gilford
& Tenebaum, 1995; Ingersoll, 1999). Ineffective
and uncoordinated hiring practices also contribute to qualified math and science
teacher shortages in urban districts. Applicants
to urban schools offer encounter unwieldy personnel offices, which routinely
lose files, answer questions incorrect or not at all, and ignore qualifications
in favor of compliance. Late budget
decisions and seniority transfer policies often make it impossible for urban
recruiters to specify to which school prospective teachers will be assigned
(Darling-Hammond, 1997; Gilford & Tenebaum, 1995).
Rather than conducting full job searches, urban schools often fill
mid-year vacancies with out of field teachers or substitutes (Ingersoll, 1999).
All these policies mean that urban districts hire less qualified
teachers, whom are assigned to their neediest schools.
Making matters worse, math and science teachers often do not feel prepared to teach students from diverse cultural backgrounds. Results of the 1993 National Survey of Science and Math demonstrate that only 29 percent of these teachers feel comfortable teaching English language learners (Weiss, 1994).[2]
Within School Differences: Tracking
We’ve
known for years that tracking has allocated quite different instruction to
students in different tracks, socialized them to accept their position in the
school’s status hierarchy, and signaled their appropriate futures to the
outside world. And American schools
have quite consistently assigned children from privileged families (usually
white) to academic tracks, and those who are poor and non-white to the others.
Despite numerous efforts to detrack K-12 education institutions since the
mid- 1980s, tracking still exists and thrives in schools across the country.
Recent efforts at raising student achievement paradoxically may
exacerbate tracking. Also the content coverage and teaching objectives vary
within the different levels/ ability grouped courses. Through tracking policies, then, students have differential
access to high-level courses and, in turn, to science and math achievement.
(Hoffer, 1992; Lee, Smith & Croninger, 1997; Mason & Good, 1993;
Oakes, 1990b; 1995; Oakes, Gameron, & Page, 1992).
Prevailing norms about the desirability of tracking underlie its
persistence. Interestingly, while
more than 75 percent of science and math teachers believe that almost all
children can develop mathematical and scientific thinking skills; most teachers
do not believe they can bring about such learning in heterogeneous classes.
Approximately 30 percent of elementary school teachers and 70 percent of
high school teachers favor ability grouping for effective math and science
instruction (Weiss, 1994). Perhaps
ironically, the movement away from tracking and toward high standards for all
students has increased emphasis on Advanced Placement courses.
As schools eliminate their lower level courses, middle class parents
often look to Advanced Placement as a way to maintain their children’s
perceived competitiveness for college (Oakes, 1998).
As a consequence, increasing numbers of students are taking Algebra I in
eighth grade and hoping to complete Advanced Placement courses, including
calculus, during high school.
Track
Level Differences in Content
Although national standards call for high expectations for all students, teachers set different objectives for students depending on the perceived academic composition of the class. High ability classes focus on skill building, while low ability courses focus on the importance of science/math in daily life. Teachers of low level classes are more likely to emphasize awareness of the importance of math and science in daily life, while they focus more on developing reasoning and inquiry skills in their high level classes. “Instructional activities follow similar patterns; low ability science classes spend more time reading from textbooks and completing worksheets than high ability classes, and they spend less time than high ability participating in hands-on activities or being asked to write about their reasoning about solving a math problem” (Weiss, 1994, p. 20; see also, Oakes, 1990a). Figure 5 demonstrates the significant differential between math and science objectives in low and high ability classes (Weiss, 1994, p. 21).
Insert Figure 5
Raudenbush,
Rowan, and Cheong (1993) multi-level analyses of data about secondary
teachers’ instructional goals found that the variation in emphasis on teaching
higher order thinking across subjects (and most strongly in mathematics and
science) was a function of hierarchical conceptions of teaching and learning
related to perceived ability group (track).
That is, teachers who taught classes at more than one level varied their
instructional goals among those classes. Teachers
placed much greater emphasis on higher order thinking and problem solving in
their high-track classes than in others. These
goals included generic thinking and problem solving skills, as well as advanced
academics topics and skills.
Track-level
Differences in Teacher Quality
In tracked schools, students in lower tracks are more likely to have out
of field math and science teachers than students in higher tracks (Ingersoll,
1999). Using data from the High
School and Beyond (another national database) study's 1984 Teacher and
Administrator Survey, Talbert and Ennis (1990) also found track-related teacher
differences. Their analyses suggest
that, while teachers of high-track students also teach other ability groups,
teachers of low-track students are more often "tracked" themselves.
Twenty-four percent of the teachers in the national sample indicated that
they teach predominantly low-ability students in tracked classes, compared with
only 14 percent reporting that they are comparably "tracked" into
classes with high-ability students.
The extent of teacher tracking (inequalities in the distribution of
teachers among high- and low-tracks) is partly a function of social inequalities
among students and teachers (e.g., social class background, race, and ethnicity)
(Talbert & Ennis, 1990). Teacher
tracking is far less extensive in schools with relatively high-SES student
populations and more extensive in schools with relatively high proportions of
minority students, minority teachers, and women teachers.
Women teachers are more likely than men to be tracked into low-ability
classes are. Talbert and Ennis also
found that teachers with low-track assignments had less influence over school
policies and less administrative and collegial support.
Finally, teachers' track assignments were related to their instructional
efficacy, with high-track teachers feeling more efficacious than others.
Talbert and Ennis concluded,
Regardless
of whether relatively ineffective teachers are assigned to teach low-track
classes or teachers assigned to teach low-tracked classes come to feel
inefficacious, teacher tracking practices exacerbate student inequalities.
Students in low-track classes are more likely than their academic- or
general-track peers to have teachers with low status in the school, with fewer
resources for personal growth, and who feel relatively ineffective in promoting
student learning (p.30).
Racial
Consequences of Tracking
Within
racially mixed schools, minorities remain disproportionately overrepresented in
low level math and science courses and underrepresented in critical gatekeeping
math and science courses. For
example, Braddock and Dawkins’ (1993) analyses of the base-year and first
follow-up data from the National Educational Longitudinal Study of 1988
(NELS:88) found African American, Latino, and American Indian 8th and 10th
grader to be significantly under-represented in high ability classes and
significantly over-represented in low ability classes.
This disproportionate placement is a product of two somewhat distinct
dynamics. First, schools with
predominantly low-income and minority student populations offer relatively
smaller numbers of high track classes and larger number of low-track, remedial
and vocational programs than do schools serving whiter, more affluent student
bodies (Oakes 1990a). Second, in
racially mixed schools that offer upper level math and science courses, low SES
students and student of color are much less likely to enroll in them (Atanda,
1999; Horn, Nunez, & Bobbitt, 2000; Ma & Willms, 1999).
Low
SES students and non-Asian minorities are less likely than others to take math
and science courses beyond mandated graduation requirements (Ma & Willms,
1999; Weiss, 1994). Nationwide,
while 20 percent of high school biology takers are African American and Latino,
only 10 percent of high school physics students are from these groups (Weiss,
1994). Similarly, while 34 percent
of students in remedial or review math classes are non-Asian minorities, they
comprise only 8 percent in Algebra II and more advanced math classes (Weiss,
1994).
A relaxing of the rigid three-track structure (academic, general, and vocational) of high schools over the past 20 years may have actually disadvantaged students from lower class families (Lucas, 1999). Currently, course titles usually suggest that classes at different ability levels are simply modified versions of the same course, and few make clear their consequences for college eligibility. Lower-income families lack the experience of middle and upper-class families to recognize and negotiate placements that provide better opportunities (Yonezawa, 1997). Moreover, Oakes and Guiton (1995) found educators did not compensate for parental lack of access to knowledge, but rather justified the disproportionate enrollment of whites and Asians in high-track classes as the result of meritocratic selection or from student choice. Some faculty members brushed aside the disproportionate representation of Hispanics—even those whose test scores were comparable to high-track white and Asian students—attributing these disparities to differences in students’ motivation and choices, or to racial differences in educational values or family support. Oakes' (1995; 2000) studies of Rockford, Illinois and San Jose, California found that course placement practices consistently skewed enrollments in favor of whites over and above that which can be explained by measured achievement. African American and Latino students were much less likely than comparably scoring White or Asian students to be placed in accelerated courses. Table 4 illustrates the placement disparities in mathematics and English.
Table 4. Placement of Majority and Minority High School Students with Comparable Math/Reading Achievement in Regular and Advanced Classes 1998-1999, Rockford, IL
|
Math/Reading |
Majority Students | Minority Students |
|
Decile
1 |
775 Percent
Advanced: 3% |
962 Percent
Advanced: 2% |
|
Decile
2 |
973 Percent
Advanced: 6% |
1056 Percent
Advanced: 4% |
|
Decile
3 |
1199 Percent
Advanced: 10% |
959 Percent
Advanced: 6% |
|
Decile
4 |
1371 Percent
Advanced: 16% |
895 Percent
Advanced: 13% |
|
Decile
5 |
1482 Percent
Advanced: 21% |
689 Percent
Advanced: 19% |
|
Decile
6 |
1787 Percent
Advanced: 34% |
583 Percent
Advanced: 23% |
|
Decile
7 |
1810 Percent
Advanced: 46% |
444 Percent
Advanced: 43% |
|
Decile
8 |
1925 Percent
Advanced: 58% |
305 Percent
Advanced: 45% |
|
Decile
9 |
2350 Percent
Advanced: 72% |
207 Percent
Advanced: 59% |
|
Decile
10 |
1853 Percent
Advanced: 85% |
92 Percent
Advanced: 63% |
*NCE:
Normal Curve Equivalent
The table shows
discrimination at both high and low levels
of achievement. Even minority
students in the highest scoring groups fared worse than majority students
scored, and the combined impact across the ranges is considerable.
Other studies suggest how
this discriminatory effect occurs. Increasingly,
school systems do not use fixed criteria to assign students to particular course
levels. Teacher and counselor
track-placement recommendations include, in addition to test scores and grades,
highly subjective judgments about students’ personalities, behavior and
motivation, especially at critical transitions between elementary, middle, and
high schools (Paul, 1995). Some
schools allow considerable student choice, and many routinely honor parent
requests. Not surprisingly, parent
involvement often increases students’ chances of taking higher level math and
science courses (Ekstrom, Goertz, & Rock, 1988; Horn, Nunez, & Bobbitt,
2000; Useem, 1992b).
These
aspects of course placement interweave with race and social class.
Dornbush (1994) analyzed track assignment practices and tracking
consequences in a stratified random sample of students in six diverse, northern
California senior high schools. Using
a combination of survey and longitudinal record data (beginning in grade 5),
Dornbush compared the impact of course taking, grades, attendance and
disciplinary patterns and test scores on college preparatory course taking of
comparable students in different racial groups.
Dornbush found marked differences in science and math, with Asians and
non-Hispanic white student groups enrolling in college prep courses at more than
twice the rates of African American and Latino peers with comparable high school
grades. While parent education
differences explained some of these group differences, having highly educated
parents did not have nearly as strong a positive impact on disadvantaged
minority students' coursetaking as it did on whites’ coursetaking.
According to Dornbush, this disproportionality resulted partially from
overt discrimination against African American and Latino students in high school
class placement. To a much larger
extent, the differences resulted from a combination of racial and ethnic
differences in eighth grade math test scores, grades, attendance records in
elementary school, and negative comments about their behavior.
In contrast, Asian enrollment patterns were greatly affected by positive
discrimination during the high school enrollment process, in that Asians
enrolled in college track classes at rates greater than expected, given the
predictor variables.
Other studies also find that counselors play a role in the lower participation rates of low-income and African American and Latino students in higher level math and science courses. For example, Paul noted that while counselors used test scores or current math placements to bar these students from high level courses, they permitted middle class students with similar qualifications to enroll when their parents intervened on their behalf (Paul, 1995; Romo & Falbo, 1996). Similarly, controlling for student achievement levels, McDonough (1997) found that students in middle class schools get significantly more supportive guidance counseling than do their peers in lower income schools. Additionally, counselors in the latter schools more often steered students toward post secondary programs for which they are overqualified.
Finally, in a recent study using the NELS 88/94 data, Horn, Nunez, & Bobbitt (2000) compared the high school academic performance of students who would be first-generation college goers[3] (a group in which minorities and low-income students are disproportionately represented) with peers from college-educated families. Controlling for academic achievement, family income, family structure, the researchers found the “first-generation” students less likely to participate in college preparatory programs and much less likely to enroll in college within two years of high school graduation. However, for both groups parent participation in college preparation activities and high school assistance in application process increased students’ college-going chances.
The
influence of middle class parent interventions appear as early as middle school
(Horn, Nunez, & Bobbitt, 2000; Useem, 1992b), as students vie for eighth
grade algebra placements. Useem
(1992a), for example, found a strong relationship between parents’ education
levels and placement in middle school mathematics, with college-educated parents
involved in school programs and parent information networks, intervening in
placement decisions, and influencing their children’s course choices.
Horn, Nunez, & Bobbitt (2000) findings mirror these patterns, even
after controlling for students’ math ability.
Thirty-one percent of parents of “first generation” students
encouraged their students to take algebra compared to 53 percent of college
graduate parents.
To
better understand the relative contributions of between-school differences,
tracking, and individual student characteristics on high school math and science
course taking, Hoffer and Nelson (1993) used Hierarchical Linear Modeling (HLM)
to examine the LSAY data. Doing so,
they found that about 80 percent of course taking differences occurred within
schools. Although students' prior
achievement and aspirations accounted for much of the differences in
participation, lower socioeconomic status and minority status had independent
negative effects. The influence of
between-school differences on course taking was much smaller; students attending
high schools with large concentrations of low-income, minority students took
fewer demanding math and science courses than did comparable students at schools
with more advantaged students. Additionally,
higher rates of course taking took place at schools where greater proportions of
the students with comparable ability levels were placed in high-level math and
science classes.
Differences
Between and Within Schools Matter
In this section, we examine the impact that
differences in access to and participation in math and science courses has on
students’ achievement and post secondary opportunities.
The relevant body of research yields five conclusions: (1) advanced
course taking enhances achievement; (2) advanced course taking determines
eligibility for competitive colleges; (3) completion of a rigorous high school
program is the strongest predictor of college success, and it has a particularly
strong impact on under-represented students of color; 4) taking courses from
qualified teachers increases achievement; and 5) a school’s tracking policies
play an important role in all of these outcomes.
Advanced Course Taking Enhances Achievement
A straightforward
relationship exists between course taking and: the more academic courses high
school students take, the more positive their schooling outcomes.
Advanced courses, in particular, positively affect student achievement,
particularly in science and mathematics, in students’ preparedness for
college, and in their success in college-level work.
Recent NAEP data, for example, show that 8th
graders who take algebra perform considerably better in mathematics and that the
more math they take the better they do (U.S. Department of Education, 1997).
Similarly, evaluations of the 1993 decision requiring all New York
City public high schools students to take tougher Regents-level math and science
courses (courses traditionally reserved for college-bound students) showed the
number of Hispanic students passing Regents Science tripled in a single year and
the number of African American students passing doubled (Education Trust, 1997).
A
clear link also exists between twelfth grade NAEP math achievement and highest
mathematics course taken (Synder & Hoffman, 2000).
Students who take precalculus or calculus score higher than students in
lower level classes. This trend is
consistent across gender and race.
Similar patterns occur in science. Using NELS: 88 data to investigate the link between science course taking and achievement, Madigan (1997) found “that students who take higher level science courses are more likely to gain in science proficiency” (p. 12), as measured on the NELS scientific achievement measure. Madigan compared scores from the same set of students twice- when they were in 8th grade and then again in 12th grade.
Table 5 below summarizes Madigan’s findings. More students at all three levels of 8th grade
science proficiency increased their scores if they took physics.
Table 5: Percent
of Students gaining science proficiency between grades 8 and 12
| Course |
Low
in 8th grade |
Medium
in 8th grade |
High
in 8th grade |
| No
Chemistry/ Physics |
58 |
37 |
18 |
| Chemistry/
No Physics |
65 |
59 |
41 |
| Physics |
86 |
75 |
63 |
Source:
(NELS 88 Data) Madigan, 1997
Recent tracking studies find similar effects on student achievement. Oakes' (1995; 2000) studies of San Jose and Rockford schools, for example, found that high-track placement led to greater achievement gains than low track participation for students at all ability levels. In San Jose, for example, “average” students (with prior math achievement between 50 and 59 Normal Curve Equivalents (NCEs), placed in low-tracks course students lost an average of 2.2 NCEs after one year and had lost a total of 1.9 NCEs after three years. By contrast, students in the same group who were placed in a regular-track gained 0.1 NCEs after one year and had gained 3.5 NCEs after three years. Most striking, the students in this average group who took an accelerated course experienced the greatest gain—gaining 6.5 NCEs after one year, and a total of 9.6 NCEs after three years. Oakes found similar results across prior achievement levels. That is, whether students began with relatively high or relatively low achievement, those who were placed in lower-level courses showed lesser gains over time than similarly-situated students who were placed in higher-level courses.
Dornbush's (1994) work demonstrates an overall low correlation between
8th grade test scores and subsequent math and science grades--a relationship
that is especially low for students in the low-track.
However, students who scored above the 50th percentile as 8th graders and
who were placed in low-track classes did poorly in those classes and did worse
in terms of grades than comparably scoring peers who were placed in high track
classes. Such findings contradict
the belief that low-track classes permit students to earn higher grades than
they would earn if they were placed in more challenging classes.
Advanced Course Taking Determines Eligibility for College
Enrollment
alone in upper level courses also correlates to long-term benefits.
Paul (1995) found, for example, that placement in general math or Algebra
I in junior high highly corresponds to counselors’ recommendations for high
school placement. Those students
taking 8th or 9th grade algebra were much more likely to
be placed in college prep programs. Similarly,
a US Department of Education analysis showed that 83 percent of students taking
Algebra I and geometry went to college within two years of their high school
graduation compared to 36 percent of students who did not take these two courses
(U.S. Department of Education, 1997). Almost
89 percent of students taking chemistry in high school attend college, while 43
percent of those not taking chemistry (U.S. Department of Education, 1997).
These
results are explained, in part, by the fact that college prep students receive
more information and help in developing four-year high school plans and long
term educational and career plans than general education students (McDonough,
1997; Paul, 1995). Counselors use
academic program placement to determine how much potential students have for
college and how strongly to recommend students for post-secondary and career
opportunities.
Differences
in access to AP courses in math and science are particularly important in access
to highly competitive colleges. For
example, discrepancies in AP participation have a major impact on student
competitiveness for admission to California’s universities.
The University of California counts the total number of AP courses
students take as indicators of a rigorous curriculum and student potential when
evaluating applications. Student
performance on AP tests is used as an important marker of student achievement. Moreover,
it allows students to boost their grades in AP classes (by one point on a
four-point scale) for the purpose of calculating their grade point averages
(“GPAs”). Since students can receive a 5 on the 4 point scale for an A
in an AP class, the median GPA of students admitted to UCLA and UC Berkeley is
now well over 4.0. Students who
lack meaningful access to AP classes, thus, find themselves at a competitive
disadvantage in the UC admissions process (Oakes et al, 2000).
The disadvantage to students without AP is particularly pronounced in a
post-affirmative action era. Prior
to the 1994 passage of Proposition 209 (which prohibits the University of
California from taking race into account in college admissions), African
American and Latino students who did not take AP classes could gain admission to
UCLA or UC Berkeley through affirmative action policies.
In the wake of Proposition 209, students at low AP availability high
schools are expected to compete for admission with students from more advantaged
schools that offer extensive AP programs.
In
addition to shaping college competitiveness in general, AP courses in biology,
calculus, and physics also serve as “gates” though which prospective
science, mathematics, and engineering majors must pass.
A Rigorous High School Program Is The Strongest Predictor Of College
Success, Particularly for Minority Students
In
his analysis of the new restricted 1998 edition of the High School and Beyond
sophomore cohort files, Adelman (1999) found that finishing a course beyond
Algebra II more than doubles the chances of students who go to college will
complete it. In fact, the highest
level of math studied in high school impacts bachelor’s completion more than
any other pre-college variable. As
with Algebra II, advanced placement course-taking strongly correlate with
bachelor’s degree completion, even more so than they do to college access (Adelman,
1999).
Taking
calculus in high school has tremendous consequences. Students who persist through calculus are much more likely to
pass college calculus courses, which serve as the gateway to more than half of
college majors (Burton, 1989)
The
cumulative effects of rigorous middle and high school math and science courses
are particularly strong for low-income students. Low-income students who take algebra and geometry are almost
three times as likely to attend college as those who do not (Atanda, 1999).
When low-income students take rigorous courses, income effects on college
entrance decrease significantly (Horn, Nunez, & Bobbitt, 2000; U.S.
Department of Education, 1997).
Taking Courses from Qualified Teachers Promotes
Achievement
Students learn more in courses taught by teachers who’ve majored in the academic subjects they and who are certified (Darling-Hammond, 2000; Ferguson, 1998; 1991; Greenwald, Hedges, & Laine, 1996; Murnane, 1996; Wright, Horn, & Sanders, 1997). These benefits have been documented in math and science specifically. Analyzing eighth grade scores from the 1996 NAEP, for example, Hawkins, Stancavage, and Dossey (1998) found that students who are taught by teachers with either an undergraduate or graduate mathematics major scored higher than their peers taught by other teachers. Teachers with teaching certificates in mathematics, moreover, impacted student achievement more than teachers certified in other areas (Hawkins, Stancavage, and Dossey, 1998). In a study of Stanford 9 test scores in California, Fetler (1999) repli