Grade-Level Standards-Based Science Outcomes for English Language Learners and Language Minority Students: A Review of the Literature
LEP
Projects Report 6
Kristin Kline Liu
April 2009
All rights reserved. Any or all
portions of this document may be reproduced and distributed
without prior permission, provided the source is cited as:
Liu, K. K. (2009). Grade-level
standards-based science outcomes for English language learners and
language minority students: A review of the literature (LEP
Projects Report 6). Minneapolis, MN: University of
Minnesota, National Center on Educational Outcomes.
Retrieved [today's date], from the
World Wide Web: http://cehd.umn.edu/NCEO/OnlinePubs/LEP6/
Introduction
Science is now
entering the spotlight, after a time of
standards-based education reform focused
almost solely on increasing reading and
math achievement for all students. There
are many different sets of science
standards that could be used to guide
instructional decision making in a K-12
classroom. The publication of A
Nation at Risk in the 1980s raised
national concern about a possible crisis
in the state of U.S. public education.
In response, in 1993 the American
Association for the Advancement of
Science (AAS) published Science for
All Americans (the predecessor to
Benchmarks for Science Literature),
followed a few years later by the
National Research Council’s publication
of the National Science Education
Standards (NRC, 1999). Scientists,
science educators, and policymakers
participated in creating these visions
of what higher standards for science
teaching and learning could look like.
An analysis of these "national"
standards showed that there are 147 K-12
science standards between the two
documents, with a high degree of
similarity in content (Marzano &
Kendall, 1998; Saderholm & Tretter,
2008).
During that same time
period, concerns over a widening
achievement gap between subgroups of
students spurred a call for greater
educational equity (McClure, 2005). The
1994 reauthorization of Title I
legislation, as well as the No Child
Left Behind Act in 2001, mandated that
every state create challenging content
standards and assessments to measure
student attainment of those standards in
reading, math, and science. Assessments
were required first in reading and math,
and later, in 2007, for science.
Science for All
Americans and the National
Science Education Standards have
received a great deal of attention, and
have had a lasting impact on the ways
teachers define good science teaching
(Lauer, Snow, Martin-Glenn, Van Buhler,
Stoutemyer, & Snow-Renner, 2005). Both
sets of standards emphasized the
importance of learning scientific
inquiry processes. In doing so, these
standards required educators to shift
from a teacher-directed classroom where
a teacher transmitted scientific facts
to students, to a more student-directed
classroom in which students were active
participants constructing their own
learning.
In spite of the
importance of the National Science
Education Standards and Science
for All Americans, state science
standards, as mandated by federal
legislation, are the ones that directly
impact daily life in schools and
classrooms because of the accountability
requirements attached to them. While
state standards may bear some
resemblance to national science
standards, there may be areas of
difference as well. Starting in 2007,
all states are required to assess
student attainment of science standards
at least once in grades 3 through 5,
once in grades 7 through 9, and once in
grades 10 through 12. Patterns of
differential science achievement between
subgroups of students (e.g., English
language learners, students with
disabilities, students in various ethnic
or racial categories, students from low
socioeconomic backgrounds, migrant
students, etc.) are cause for concern
and must be addressed through changes in
programs, services, and curricula as
well as through instruction. According
to Lee and Luykx (2007) this new
accountability for science teaching and
learning has an unprecedented power to
change the field.
In many states and
school districts, the first round of
state science test scores have recently
been made public and discussion of
potential changes in science instruction
are already underway. As we stand on the
brink of a time of change and look
ahead, English language learners (ELLs)
are a group that warrants specific
attention in the science classroom.
Because science instruction is primarily
conducted in English—the language that
ELLs are learning—English proficiency is
a major factor related to science
outcomes for these students (Lee & Luykx,
2007). As Lee (2004) states, "A
challenge facing teachers of students
acquiring English as a new language
(English language learners; ELLs) is
enabling these students to learn
academic content across subject areas,
as the students simultaneously acquire
English language and literacy" (p.65).
Given the challenges that we know exist
for educators instructing these
students, the question arises, what do
we know about their outcomes in
standards-based science at this point in
time? This review focuses on what
peer-reviewed research literature tells
us about standards-based science
outcomes for ELLs, along with the
broader group of students who speak a
language other than English at home
(also known as language minority
students) and who may have been an ELL
at one time. Earlier reviews addressed
the issues of science for diverse
students (Lee, 2005; Lee & Luykx, 2006,
2007) and standards-based science
outcomes for native-English speaking
students (Lauer, Snow, Martin-Glenn, Van
Buhler, Stoutemyer, & Snow-Renner,
2005). No previous review has combined
the two topics.
Theoretical Framework
for this Review
Federal legislation
that mandates content standards and
accountability is based on a broad
policy-level model of educational
improvement. That model, the Expanded
Theory of Action of Standards-based
Reform: An Education Improvement System
(NRC, 1999), is shown in Figure 1.
Figure 1.
Expanded Model of the Theory of Action
of Standards-Based Reform: An Education
Improvement System (NRC, 1999)

Figure 1 communicates
the idea that content standards clearly
define what all students should know and
what schools should teach (NRC, 1999).
Standards also act as benchmarks for
assessing student attainment of the
standards. Standards-based assessments
give educators, students, and parents
information about student progress
toward that attainment. According to the
NRC (1999), the most useful tests for
this purpose are those that are
sensitive to instruction. Teachers are
given freedom to design instructional
programs, but they must be accountable
for student learning as measured by
those standards-based assessments (NRC,
1999). Incorporated into the Theory of
Action is the belief that teachers will
use effective instructional practices if
they have flexibility to do what they
think best and if they are motivated to
work hard. The assumption is that if
teachers are motivated, they will change
classroom teaching so that all students
can learn, instead of assuming that some
students will not learn. In addition to
motivation, teachers need professional
development to support them in learning
new practices. In this theory of action,
when the different components of reform
are all in play at the same time, higher
levels of learning result (NRC, 1999).
The Expanded Model of
the Theory of Action of Standards-based
Reform is useful for guiding
instructional policy at a broad level.
However, it is less useful for guiding
educational research on standards-based
reform for particular groups of students
because it does not reach down into the
classroom. This theory of action also
does not account for who linguistically
and culturally diverse students are and
how their characteristics influence
instruction. For the purposes of this
paper, an adapted version of Creemer’s
Comprehensive Model of Educational
Effectiveness (Creemers & Kyriakides,
2008) incorporates elements of the
Expanded Theory of Action of
Standards-based Reform (NRC, 1999) into
a multi-level model better suited for
research purposes. Some additional
factors have been added to the model to
account for the learning of ELLs and
language minority students who speak a
language other than English (e.g.,
cultural background, English
proficiency). Figure 2 shows the adapted
model which is titled the Theory of
Educational Effectiveness Under
Standards-Based Reform.
Figure 2.
Revised Theory of Educational
Effectiveness under Standards-based
Reform (Adapted from NRC 1999; Creemers
& Kyriakides 2008)

The key attribute of
this model is that multiple levels
within the education system are
represented and each one creates
conditions that support the level
beneath it (Creemers & Kyriakides,
2008). At the top of the diagram,
national and state policy on standards,
assessment, and accountability include
both federal and state legislation,
state content standards, and
standards-based assessments for
accountability purposes. At the school
level, rules and policies about
standards-based instruction in an
individual building (e.g., grading
policies, mandatory classroom routines
or instruction practices, use of
technology, etc.) combine with teacher
professional development to create
conditions that support teachers as well
as motivating them to work hard.
Motivated teachers go
in to the classroom where elements
related to high quality instruction
(e.g., curriculum use, teacher behavior,
grouping procedures, etc.) come into
focus. Teacher practice, as represented
by the double-ended arrow between
student factors and the classroom, is
influenced by characteristics of the
students in the class. Good teachers
adapt instruction to meet the
instructional needs of their students.
At the same time, high quality
instruction may influence
characteristics of the students, such as
their perseverance, their likes and
dislikes, the time they spend focused on
learning tasks, their content area
language proficiency, and their overall
opportunity to learn in the classroom.
The classroom-level
factors, as shown by the bold arrow, are
the most important contributors to
improved student outcomes, but as in
Creemers’ original model (Creemers &
Kyriakides, 2008), all of the levels in
the system have a role to play. Student
outcomes incorporate higher levels of
learning, but in this model outcomes are
defined broadly, as suggested by Lee and
Luykx (2007), to also include cognitive,
affective, psychomotor, linguistic, and
other types of outcomes such as science
course taking patterns.
A word of caution is
in order here about the differences
between a school effectiveness model and
a standards-based model. Creemers’
original Comprehensive Model of School
Effectiveness identified student factors
as possible predictors of student
outcomes (Creemers & Kyriakides, 2008,
p. 43). In a standards-based system
educators need to thoroughly understand
the characteristics of the students they
serve in order to design appropriate
instruction, but the emphasis is on
supporting the achievement of all
students regardless of their
characteristics and background. As
former Secretary of Education Rod Paige
once said in reference to the power of
standards-based reform to increase
outcomes for all students:
We must let
go of the myths and perceptions
about who can learn and who
can’t… Anyone who’s been in
education as long as I have has
heard all the excuses. ‘Those
kids’ are too poor. ‘Those kids’
are too disadvantaged. We’re
doing the best we can with
‘those kids.’ What they’re
really saying is: We don’t
believe intellectual heft is in
the DNA of poor and minority
children…Teachers who believe
that certain social groups are
slower to learn and react by
lowering the bar for performance
rob those children of
opportunities to grow
intellectually and achieve their
dreams. (Paige, 2003)
These words are
applicable to the instruction of ELLs
and language minority students as well.
We cannot help them meet standards in
science if we do not first believe they
are capable of meeting them with
appropriate instruction.
In Figure 2, as in
Creemer’s original model, the key
elements that relate to higher levels of
learning are the quality of instruction,
time on task, and opportunity to learn (Creemers
& Kyriakides, 2008). These items are
bolded at the level in which they have
been placed in the diagram, but every
level of the system plays a role in
developing conditions that sustain them.
The Revised Theory of
Educational Effectiveness under
Standards-based Reform (Figure 2) acts
as a guide for this review of the
standards-based science outcomes
literature for language minority
students and ELLs. It suggests that
studies addressing any one or
combination of the levels within the
system (national/state policy, school,
classroom, and student) are important to
examine because they all, jointly,
influence science outcomes for students.
At the same time, the model emphasizes
the central role of classroom
instruction. Furthermore, the model
suggests that, while cognitive outcome
as measured by science test scores may
be prioritized in standards-based
reform, other kinds of related outcomes
must be considered as well. Affective
outcomes such as attitudes toward
science and psychomotor outcomes such as
science inquiry skills (e.g., using
scientific tools to take measurements)
are also deserving of attention.
Content of Standards
When discussing
standards-based science outcomes for
language minority students and ELLs it
is important to consider what states
actually require students to know and be
able to do. Table 1 shows the broad
categories addressed by 7th
grade science standards in five states
that were selected because they have
sizeable populations of language
minority students and ELLs.
Table 1. Science
Standards from 5 Selected States
|
|
State #1
|
State #2
|
State #3
|
State #4
|
State #5
|
|
Science
Standards Focused on Content
Knowledge
|
Structure and
Function in Living Systems
|
Life Science
|
Relationship
Between Structure and Function
in Living Systems
|
Understand the
Fundamental Concepts, Principles
and Interconnections of the
Life, Physical and Earth/Space
Sciences
|
Life Science
|
|
Cell Biology
|
|
Relationship
Between Organisms and the
Environment
|
|
|
|
Genetics
|
|
|
|
|
|
Evolution
|
|
|
|
|
|
Physical
Principles in Living Systems
|
|
|
|
|
|
|
Physical Science
|
Equilibrium
|
|
Physical Science
|
|
|
|
Force and Motion
|
|
|
|
|
|
Physical and
Chemical Properties of
Substances
|
|
|
|
|
|
Interactions
Between Matter and Energy
|
|
|
|
|
|
Alterations in
Earth Systems
|
|
Earth and Space
Science
|
|
|
|
|
|
Understand the
Relationships Among Science,
Technology and Society in
Historical and Contemporary
Contexts
|
Nature of
Science
|
|
|
|
|
|
Characteristics
of Scientific Knowledge
|
|
|
|
|
|
Roles of
Theories, Laws, Hypotheses and
Models
|
|
Science
Standards Focused on Procedural
Knowledge
|
Investigation
and Experimentation
|
Scientific
Thinking and Practice
|
Use Inquiry
Methods
|
Understand the
Processes of Scientific Inquiry
and Technological Design to
Investigate Questions, Conduct
Experiments and Solve Problems
|
Nature of
Science
|
|
|
|
Use Tools and
Methods to Conduct Inquiry
|
|
|
|
|
|
Use Critical
Thinking and Scientific Problem
Solving to Make Informed
Decisions
|
|
|
|
|
|
Use Safe,
Environmentally Appropriate,
Ethical Practices
|
|
|
From this table it is
possible to see that in all five states
there are two major categories of
science standards: those that relate to
knowledge of specific science content
(declarative knowledge) and those that
relate to knowledge of science processes
(procedural knowledge). The majority of
these states require all 7th
graders, including language minority
students and ELLs, to learn concepts in
the areas of biology/life sciences,
physical sciences (including chemistry
and physics), and earth science. The
states in the table appear to define
these areas somewhat differently. For
example, state 2 has a broad standard in
the area of Life Science while State 3
has more detailed standards that address
the relationship between structure and
function in living systems or the
relationship between organisms and the
environment.
The five states in
the table also require demonstration of
scientific processes. Two states
specifically mention the ability to
perform scientific inquiry procedures as
part of their standards, while others
mention inquiry procedures in the more
detailed benchmarks not shown here.
Although definitions of inquiry may vary
as well, inquiry often includes skills
involved in identifying a problem to
study, formulating hypotheses or
research questions, designing and
implementing a research study, and
collecting, analyzing and communicating
data (cf. Stoddart, Pinal, Latzke &
Canaday, 2002). Inquiry procedures can
be relatively unstructured and
student-led or they can be structured in
advance by the teacher (Cuevas, Lee,
Hart & Deaktor, 2005; Lee, 2003; Lee,
Buxton, Lewis & LeRoy, 2006).
In addition to the
common content and process standards, a
few of the five states shown in Table 1
list additional standards in either
science content or processes. For
example, State 5 requires students to
know the characteristics of scientific
knowledge and the roles of theories,
laws, hypotheses, and models. In
contrast, State 4 requires students to
understand the historical relationships
between science and technology.
While standards
related to scientific language are not
immediately apparent in the table,
knowledge of scientific vocabulary and
discourse patterns is embedded into the
more detailed descriptions of what
students need to know and do to achieve
each standard. These detailed
descriptions are often called benchmarks
and several benchmarks may relate to one
broader standard. For example, state 3
has a broad standard requiring 7th
graders to understand the properties,
structures, and processes of living
things, as well as the interrelationship
of living things and their environment.
Under that standard state 3 includes the
following benchmark:
Know how to
classify organisms: domain,
kingdom, phylum, class, order,
family, genus, species.
In this state,
language minority students and ELLs,
along with native English speaking
students, would need to learn the
vocabulary words "domain", "kingdom",
"phylum", "class", "order", "family",
"genus", and "species" in order to
correctly classify organisms.
In state 3 the
following standard not only requires
students to learn particular vocabulary
items, but also asks them to internalize
a Western scientific way of thinking
about catastrophic events and to
communicate that Western explanation.
Science
concepts. The student knows that
natural events and human
activity can alter Earth
systems. The student is expected
to:
(A) Describe and predict
the impact of different
catastrophic events on
the Earth;
(B) Analyze effects of
regional erosional
deposition and
weathering; and
(C) Make inferences and
draw conclusions about
effects of human
activity on Earth’s
renewable,
non-renewable, and
inexhaustible resources.
Some language
minority students and ELLs may come from
a culture where natural disasters are
explained as acts of an angry god or
punishments for human misbehavior rather
than scientific phenomena (Lee, 2003).
For such students, switching to a
Western scientific view of these
phenomena requires more than simply
learning facts, it requires a shift in
values and beliefs as well (Lee, 2003).
In addition, this standard also requires
students to understand and use
scientific discourse patterns (e.g.,
using evidence to support predictions
and conclusions, making inferences,
etc.) as part of demonstrating the
knowledge of content.
Looking at samples of
science standards provides important
context for reviewing studies of
standards-based science outcomes. These
selected state standards illustrate the
kinds of areas in which language
minority students and ELLs need to
demonstrate academic achievement and
provides examples of some of the
specific content and skills they may
need to learn.
Procedure for Obtaining
and Reviewing Literature
A multi-step search
procedure identified literature on
science outcomes or language minority
students and ELLs. First, a library
meta-search engine that could search
multiple databases at the same time was
used to look for articles in databases
such as ERIC, Educational Full Text,
PsycInfo, and Linguistics and Language.
Search terms included combinations such
as science and English language
learners, science and language minority
students, science and bilingual
students, science and senior high,
science and junior high, science
achievement and student outcomes, etc.
Second, reference lists of identified
articles were scanned for additional
resources. Finally, an Internet search
using combinations of search terms
similar to those used with the
meta-search engine was used to verify
that the relevant articles had been
located.
The following
criteria were used to determine which
articles to review:
1. Peer
reviewed journal articles—The
intent of this paper is to
review the status of science
outcomes as described in peer
reviewed journal articles.
2.
Publication dates between 1994,
the year of federal legislation
mandating state standards, and
2008.
3. Research
conducted within the United
States in kindergarten through
12th grade (K-12)
settings.
4. Research
participants were either K-12
students or their teachers.
5. The
article had to contain student
science outcomes or science
outcomes as reported by
teachers. The scope of outcomes
for this review was
intentionally broad and included
grades, test scores, attitudes
toward science, course taking
patterns, and other affective,
linguistic, or psychomotor
outcomes.
6. The
science outcomes had to pertain
directly to ELLs or language
minority students. Studies were
not included in this review if
the ethnicity of students was
the only identifying factor
(e.g., Hispanic, Asian).
From this search
process, 22 articles were identified
that met all of the study criteria (see
Appendix A for a complete listing). They
were all reviewed, regardless of whether
outcomes were standards-based or not, in
the belief that the total group of
studies would have something to say
about the priorities and interests of
researchers in the field. A study coding
sheet was used to highlight the research
design of each study along with the
theoretical and conceptual frameworks
underlying the research and the links
between the research and standards-based
instruction or outcomes.
Study Findings
The 22 studies
included in this review represent
diverse research perspectives, and a
multitude of research designs (see
Appendix A for a complete listing of
studies, research methods, measures,
study samples, and findings). These
studies described a variety of outcomes,
and represented varying degrees of
connection to state standards. Some
studies followed rigorous research
procedures while others did not. Six
studies that included ELLs or language
minority students, along with other
students, in the study sample did not
provide disaggregated data for ELLs or
language minority students, limiting the
conclusions that could be made based on
the data (Bouchey, 2004; Bouchey &
Harter, 2005; Hadi-Tabassum, 1999; Lau &
Roeser, 2002; Maheady, Michielli-Pendl,
Harter & Mallette, 2006; Varelas,
Pappas, Kane, Arsenault, Hankes & Cowan,
2007). As a result of this tremendous
variability, it is difficult to make
strong statements about the conclusions
that can be drawn from this small but
growing body of literature.
Links to State Standards
Appendix B shows each
of the 22 studies included in this
review, the outcomes associated with
each study, and whether those outcomes
had a connection to state standards. A
number of studies were linked to either
national science tests such as the
National Assessment of Educational
Progress (Lau & Roeser, 2002; Lee et
al., 2008b; Lee et al., 2008c; Lee et
al., 2005; Luykx et al., 2007) or to the
national science standards published by
different groups (Lynch et al., 2002).
Because state and national science
standards may be very different, this
review begins with a look specifically
at the peer-reviewed literature
pertaining to state standards. A total
of nine studies addressed outcomes
related to state standards. These were:
Cognitive
Outcomes
Standards-based
measures of outcomes were usually
associated with the cognitive domain.
These outcomes typically were in the
form of scores on state tests (Amaral et
al., 2002; Lee et al., 2008b; Lee et
al., 2008c; Rivera & Stansfield,
2003-2004; Torres & Zeidler, 2002) or
researcher-developed tests based on
curricula aligned with state standards
(Lee, Deaktor, et al., 2008b, Lee et
al., 2005; Maheady et al., 2006).
Two studies linking
curricula with state test scores (Amaral
et al., 2002; Lee et al., 2008c)
indicated that test scores went up after
implementation of an inquiry-focused
curriculum based on state standards.
However, only one of these studies
(Amaral et al., 2002) reported state
science test scores. Lee et al. (2008c)
reported increases in math test scores
because there was no state science test
at the time of their study and the
science curriculum that was implemented
for the study incorporated math skills.
While documented increases in state test
scores are positive signs of improved
classroom practices and student
learning, neither study made clear how
far ELLs and language minority students
still were from passing state tests
because the studies only focused on the
amount of gain students made.
Of the three studies
that reported scores on
researcher-developed assessments aligned
with state standards (Lee et al., 2008b,
Lee et al., 2005; Maheady et al., 2006),
Maheady et al. (2006) did not break down
test results to show specifically the
performance of the ELLs in the sample.
The two related studies by Lee and
colleagues (Lee et al., 2008b; Lee et
al., 2005) showed a significant increase
in standards-related test scores for
ELLs and language minority students
after implementation of the same
inquiry-based curriculum across multiple
years. In addition to explicit teaching
of inquiry skills, the curriculum
included a scientific language component
that the researchers believed to be
successful. In spite of the increase in
test scores, ELLs and language minority
students still scored well below other
groups of students in the study. It was
unclear whether their level of
performance may, perhaps, have been well
below what standards required for that
grade level. The authors did not address
the issue. The gaps in performance
levels between ELLs or language minority
students and other students tended to
narrow a bit for students who had
participated in the standards-based
curriculum for two years, but gaps still
remained.
Rivera and Stansfield
(2003-2004) studied the effect of
simplification of the language of state
science test items on the performance of
ELLs and non ELLs in one state. There
were so few ELLs enrolled in K-12
schools in the state, and so few
participating in the state science test,
that no definitive conclusions were made
about the effect of linguistic
simplification for these students.
Affective and Other
Outcomes
Studies that only
measured affective outcomes such as
perceptions of science-related
creativity or math and science ability,
and perceptions of adult support for
science learning, tended not to link
results to state science standards.
Maheady et al. (2006) was the only
exception. These researchers measured
student attitudes toward a particular
format of cooperative learning called
Numbered Heads Together (NHT) with, and
without, a behavioral incentive package.
While the intervention was implemented
using a standards-based science
curriculum, the focus of the
intervention was on the effectiveness of
NHT. Every student, including ELLs,
performed better on standards-based
classroom assessments with some form of
NHT, but the addition of the behavioral
incentive had the greatest effect on
scores. It also positively affected
students’ attitudes toward science
instruction.
Two studies that
focused on other forms of outcomes
(Cuevas et al., 2005; Lee et al., 2006),
namely the ability to conduct science
inquiry tasks, were related to the same
grant project that implemented a
standards-aligned curriculum to directly
teach inquiry processes. Over time, the
students took a greater responsibility
for performing inquiry tasks, after they
had gained skills. Both studies (Cuevas
et al., 2005; Lee et al., 2006) found
that the inquiry skills of ELLs did
increase after direct instruction. Lee
et al. (2006) discovered that ELLs had
some of the largest gains in their
ability to perform inquiry tasks.
However, students became more effective
only on certain parts of the inquiry
tasks, such as their abilities to
support theories with data and
controlling specific variables (e.g.,
amount of water used, the length of time
and the location of an experiment). They
continued to struggle with controlling
other variables (e.g., the size and
shape of containers, heat, location and
length of time) (Lee et al., 2006). Lee
et al. (2006) attributed some of the
difficulty with inquiry-based learning
to students’ cultural backgrounds and
values.
Although
conducting scientific inquiry is
a challenge for most students,
it presents additional
challenges for students from
societies that may not encourage
them to engage in some aspects
of inquiry practices, such as
asking empirical questions about
natural phenomena, designing and
implementing systematic
investigations, and finding
answers on their own…In many
societies, cultural norms
prioritize respect for teachers
and other adults as
authoritative sources of
knowledge. In other words,
validity of knowledge is often
based on the validity of its
source, rather than the validity
of knowledge claims. Children
who are taught to respect the
wisdom and authority of their
elders may not be encouraged to
question received knowledge in
ways that are compatible with
Western scientific practices
(Lee et al., 2006, p. 611)
The researchers
believed that developmental readiness to
perform inquiry tasks was also a factor
that caused 4th graders to
perform better than 3rd
graders in the study. Lee et al. (2006)
provided an important implication for
teaching inquiry science to ELLs.
Furthermore, as student understanding of
and skill with inquiry procedures grew,
they often struggled to express that
understanding with their developing
English skills.
The picture that
emerged from these nine studies was that
a handful of researchers examined ways
to increase the grade-level
standards-based science achievement of
ELLs and language minority students.
However, these students may still have
performed below the level that was
required to pass standards-based
assessments and to graduate within a
standards-based system. The studies did
not provide much information on which to
judge how far ELLs and language minority
students have to go, and in what areas
or aspects of science, to be successful.
With limited and incomplete information
it is difficult to use the research
literature as a guide to plan
instructional improvements.
Given that there is
so little research with clear data on
state standards-based science outcomes
specifically for ELLs and language
minority students, perhaps the most
important issues that arise from this
review relate to the state of the field
and recommendations for the future.
These issues and recommendations are
based on all 22 studies, not only those
related to state standards.
Relationship of Studies
to Model
Referring back to the
Revised Theory of Educational
Effectiveness under Standards-Based
Reform in Figure 2, how did the studies
reviewed match up to the elements of the
figure? As Table 2 shows, the majority
of reviewed studies addressed either
student factors (n=13) such as
attitudes, cultural background and
language proficiency levels, or
classroom factors (n=11), particularly
curriculum implementation and associated
teacher training. Four of the studies
(Duran et al., 1998; Hampton et al.,
2001; Lee et al., 2005; Lynch et al.,
2002) examined factors at both the
student and the classroom levels. Amaral
et al. (2002) reported the effects of a
science curriculum on students in an
entire school district, and, for the
purposes of this review, is included
with the school level. Only one study
(Rivera & Stansfield, 2003-2004)
addressed national/local policy context
factors in the form of a state test
accommodation not commonly allowed in
state testing policies.
Table 2. Factors
Addressed by Studies Reviewed
|
|
Factors
|
|
Study
|
Student
|
Classroom
|
School/District
|
National/Local
|
|
Amaral et al.
(2002)
|
|
|
X
|
|
|
Beghetto (2007)
|
X
|
|
|
|
|
Bouchey (2004)
|
X
|
|
|
|
|
Bouchey & Harter
(2005)
|
X
|
|
|
|
|
Cuevas et al.
(2005)
|
|
X
|
|
|
|
Duran et al.
(1998)
|
X
|
X
|
|
|
|
Hadi-Tabassum
(1999)
|
X
|
|
|
|
|
Hampton et al.
(2001)
|
X
|
X
|
|
|
|
Lau & Roeser
(2002)
|
X
|
|
|
|
|
Lee et al.
(2008a)
|
|
X
|
|
|
|
Lee et al.
(2008b)
|
|
X
|
|
|
|
Lee et al.
(2008c)
|
|
X
|
|
|
|
Lee et al.
(2006)
|
|
X
|
|
|
|
Lee et al.
(2005)
|
X
|
X
|
|
|
|
Luykx et al.
(2007)
|
X
|
|
|
|
|
Lynch et al.
(2002)
|
X
|
X
|
|
|
|
Maheady et al.
(2006)
|
|
X
|
|
|
|
Medina & Mishra
(1994)
|
X
|
|
|
|
|
Rivera &
Stansfield (2003-2004)
|
|
|
|
X
|
|
Shaw (1997)
|
X
|
|
|
|
|
Torres & Zeidler
(2002)
|
X
|
|
|
|
|
Varelas et al.
(2007)
|
|
X
|
|
|
Because the intent of
standards-based reform is to assist all
students in achieving grade-level
content by improving the quality of
classroom conditions that support
learning, an emphasis on classroom
factors in the research literature seems
important and appropriate. By focusing
on the classroom, researchers have
placed the responsibility for increasing
student outcomes primarily on educators
and schools, not on the students.
Further studies on classroom factors are
important. In addition, the 22 studies
reviewed here also emphasize the role of
student factors, such as attitude and
motivation, in learning science. These
studies illuminate the ways in which
students are unique. They have different
attitudes toward science, differing
levels of support for science learning,
and differing motivations to succeed in
the science classroom. Differences are
important to study so long as the
emphasis remains on stimulating teachers
to teach standards-based content
differently in order to better meet
student needs.
Research Perspectives
Relate to Outcomes Studied
In a previous review
of studies on science instruction for
diverse students, Lee and Luykx (2007)
reported that few studies provided
concrete, quantitative outcomes (p.
177). One possible reason for this
finding may be that many studies in the
field come out of disciplinary
traditions and theoretical or conceptual
frameworks with non-cognitive types of
emphases. Table 3 highlights that half
of the total group of studies reviewed
(n=11) fall into this category. The few
studies in Table 3 that included
cognitive outcomes, such as Bouchey
(2004), also included other types of
outcomes as well. Footnotes to the table
describe terms used to refer to
theoretical or conceptual frameworks, as
used by article researchers.
Two examples from the
table provide illustrations of the way
in which aligning research traditions
with theoretical or conceptual
frameworks, and thus with research
questions, can lead to emphases on
varying outcomes. First, Duran, Dugan,
and Weffer (1998) chose to study science
and language minority students from the
perspective of social constructivism,
which is associated with the tradition
of social psychology. Duran et al.
(1998) define social constructivism in
the following way:
Our research
was conducted within the social
constructivist framework of
Vygotsky (1978, 1987), as
extended by Wertsch (1991),
which offers a theoretical
perspective about the
development of higher order
mental functions and the
interdependence of language and
thought in learning….Wertsch
(1991) uses the idea of ‘a
social language as a
meditational means’ to provide a
dialogic account for the social
nature of child
learning…Learning occurs as
children internalize the
dialogues of their social
interaction by gradually using
these for their intention. (pp.
313-314)
Table 3. Research
Perspectives of Studies Reviewed
|
Study
|
Disciplinary
Roots
|
Theoretical or
Conceptual Framework
|
Focus/Research
Questions or Hypotheses
|
Student Outcomes
|
|
Beghetto (2007)
|
Psychology
|
Achievement Goal
Theory 1
|
Perceived
Science Competence
1. After
controlling for differences
in age, gender, and
ethnicity, are students’
goal orientations related to
their perceived science
competence beliefs?
2. Is there
an association between
students’ self-perceptions
of their ability to generate
creative ideas and their
perceived competence in
science?
3. Does a
link exist between students’
perceived science competence
and their perceptions of
teacher support and press?
|
Affective
|
|
Bouchey, (2004)
|
Social
Psychology
|
Symbolic
interactionism 2
|
Interplay
between others’ influence and
students’ psychological factors
in predicting achievement
1. Parents’,
teachers’ and classmates’
beliefs regarding the
importance of math and
science and the student’s
ability will predict
students’ reflected
appraisals of others’
beliefs
2. Students’
reflected appraisals would
predict their own
self-perceptions, scholastic
behavior, and math and
science performance
3. Support
from others predicts
students’ reflected
appraisals
|
Cognitive
Affective
|
|
Bouchey & Harter
(2005)
|
Social
Psychology
|
Symbolic
interactionism Expectancy value
theory3
|
Test a
meditational model of relations
among (a) students’ perceptions
of others’ beliefs and behavior
regarding schoolwork, (b)
students’ own academic
self-perceptions and behavior,
and (c) academic performance.
|
Cognitive
Affective
|
|
Cuevas, Lee,
Hart, & Deaktor (2005)
|
n/a
|
*Instructional
Congruence
Teacher-explicit
to student-exploratory continuum
|
Impact of an
inquiry-based instructional
intervention
1. What is
the impact of the
instructional intervention
on students’ ability to
conduct science inquiry
overall and to use inquiry
skills of questioning,
planning, implementing,
concluding and reporting?
2. What is
the impact of the
instructional intervention
on narrowing gaps in the
ability to conduct inquiry
among demographic subgroups
of students with respect to
grade, achievement, gender,
ethnicity, SES, home
language, and English
proficiency?
|
Ability to
conduct inquiry-based science
|
|
Duran, Dugan, &
Weffer (1998)
|
Social
psychology
|
Social
constructivism (as extended by
Wertsch)4; social
semiotics
|
Describe how
students construct biology
concept meanings based on extant
language skills and engage
students in constructing meaning
through meditational means.
|
Learning to talk
science
|
|
Lau & Roeser
(2002)
|
Psychology
|
Pathways to
achievement outcomes (Snow)5
Social-cognitive
theories of motivation
|
How cognitive
and motivational factors
associated with performance and
commitment pathways to
achievement contribute to the
prediction of achievement
outcomes in science.
1. Both sets
of factors would add
incremental predictive
validity to outcomes
2. Cognitive
abilities would be most
closely associated with
science performance measured
by grades and test scores
3.
Motivational variables would
be most closely associated
with students’ future
science activities
Cognitive and
motivational factors will have
both direct and indirect effects
on outcomes
|
Cognitive
Affective
|
|
Lee et al.
(2008a)
|
Cultural
Anthropology
|
*Instructional
Congruence
Teacher-explicit
to student-exploratory continuum
|
Teachers’
perceptions of the teaching and
learning impact of an
inquiry-based curriculum plus
teacher training intervention
|
Teacher
perceptions of student learning
|
|
Lee et al.
(2006)
|
Cultural
anthropology
|
Design research
(cf. Brown, 1992, 1994; Lehrer
et al., 2000; Metz, 1995, 1997;
Rosebery, Warren & Conant, 1992)
*Instructional
Congruence
Teacher-explicit
to student-exploratory continuum
|
Preliminary
investigation into the impact of
an instructional intervention on
science inquiry abilities among
linguistically and culturally
diverse elementary students.
|
Ability to
conduct inquiry
|
|
Lynch, Kuipers,
Pyke, & Szesze (2005)
|
Psychology
Social
Psychology
|
Conceptual
Change Theory6
Culturally-defined Activity
Systems (Sociocultural theory)7
|
Results of a
planning grant studying the
effects of a highly rated
science curriculum unit on a
diverse population.
|
Affective
Cognitive
|
|
Maheady,
Michielli-Pendl, Harter, &
Mallette (2006)
|
Psychology
|
*Applied
Behavior Analysis
|
Examined the
effects of Numbered Heads
Together with and without a
behavioral incentive package on
6th graders daily
quiz scores and pretest-posttest
performance in chemistry
|
Cognitive
Affective
|
|
Varelas, Pappas,
Kane, Arsenault, Hankes, & Cowan
(2007)
|
Psychology
|
Sociocultural
perspective of teaching and
learning8
|
Focus on the
concept of matter and explore
how young children in urban
schools bridge their spontaneous
concepts and everyday
experiences with scientific
concepts introduced to them by
children’s literature
information books and their
teachers
|
Meaning making
in collaborative interactions
|
Because this study
focused on social speech as a mediator
of individual student learning, as
expressed through language, it is
logical that the researchers collected
interview and observational data on
outcomes related to student production
of meaning in classroom interactions.
A second example of
the way disciplinary traditions and
theoretical or conceptual frameworks
align with science outcomes can be found
in Beghetto’s (2007) study. The
researchers examined science through the
perspective of Achievement Goal Theory,
which comes out of the field of
psychology. As Beghetto (2007)
explained:
This line of
research suggests that although
cognitive ability is important
to success in science—ability
alone is not enough. Indeed,
students who otherwise have the
ability to be successful in
science, yet believe they are
not capable of success, likely
sell themselves and the field
short. Students’ perceived
science competence is related to
students’ motivation to learn,
future aspirations, and
ultimately their achievement in
science. (p. 800)
As a result of this
focus, Beghetto collected data on
students’ perceived efficacy, perceived
science competence, achievement goals,
and perceived teacher support. Cognitive
outcomes were not included in Beghetto’s
study. Again, in the context of this
particular disciplinary tradition and
theoretical framework, outcomes relating
to student attitudes and motivation make
sense.
The remaining studies
reviewed focused solely on cognitive
outcomes such as test scores and grades.
Six of these studies, several from the
same research project, incorporated test
scores to measure the effectiveness of
implementing new curricula (Amaral et
al., 2002; Cuevas et al., 2005; Lee,
Deaktor et al., 2008; Lee, Maerten-Rivera
et al., 2008; Lee et al., 2006; Lee &
Luykx, 2006). Studies like those of
Duran et al. (1998) and Beghetto (2007)
add richness to our understanding of the
context of science outcomes. However,
the model of educational effectiveness
under standards-based reform (Figure 2)
does emphasize standards-based cognitive
outcomes as an end goal of instruction.
Other types of outcomes may be important
contributors to cognitive outcomes
(e.g., levels of academic English
proficiency, attitudes toward science),
but these are not the end goal of
instruction.
Conclusion and
Recommendations
The results of this
research review indicate that there is a
small but growing research base that
addresses science outcomes for language
minority students and ELLs. The purpose
of this review was to focus more
specifically on what is known about
outcomes related to state science
standards for ELLs and language minority
students. Of the 22 studies that
addressed science outcomes for these
students, many were related to either
national science assessments or to
national science standards. A smaller
proportion was related to state
standards. The small number of studies
available combined with the diversity of
topics studied and the multitude of
viewpoints makes it difficult to distill
findings from this body of literature.
For example, theoretical and conceptual
frameworks researchers chose for the
larger group of studies influenced the
way outcomes were conceptualized and
measured. Some studies conceptualized
outcomes in purely cognitive terms such
as scores on tests, while others
addressed affective or other types of
outcomes.
There were only nine
studies linking science outcomes to
state standards in some way. Four of
these nine studies were based on an
implementation of one inquiry-based
science curriculum used in the same
grant project (Lee et al., 2008b; Lee et
al., 2008c; Lee et al., 2005; Luykx et
al., 2007). It is not possible to state
definitive research findings with such a
small number of studies, but two ideas
contained in those eight studies stand
out for further consideration.
First, scientific
inquiry skills, which are often part of
state science standards, are important
to explicitly teach to language minority
students and ELLs, but may be
challenging for students to fully learn.
Because of differing cultural
backgrounds and different levels of
English proficiency, educators should
not assume that linguistically and
culturally diverse students will
implicitly have the knowledge or skills
to perform inquiry tasks without being
taught how to do so. A few studies in
this review found that ELLs and language
minority students did, in fact, perform
significantly higher on inquiry-based
tasks and test items after receiving
instruction on the different inquiry
elements plus scientific language.
However, ELLs in particular still
struggled with certain inquiry concepts
and skills after the interventions.
Second,
curriculum-related interventions had
differential effects for language
minority students and ELLs. While ELLs
displayed a great deal of growth in
science learning after the
implementation of these interventions,
they still scored below their language
minority peers on content-related
assessments and inquiry tasks.
Researchers observed that a sizeable gap
in performance levels between ELLs and
other students was still evident. One
major challenge in summarizing science
outcomes for linguistically and
culturally diverse students is that the
available literature did not state how
far below grade-level standards the
performance of ELLs and language
minority students was.
Both of these key
points in the literature highlight the
challenges inherent in teaching academic
English language skills specific to
science simultaneously with both science
content knowledge and science processes
in the mainstream classroom. ELLs and
language minority students who have
recently exited English as a Second
Language services have to learn more
knowledge and skills in order to achieve
at grade level in the science classroom
than do their native English speaking
peers. The work of Lee and colleagues
(Cuevas et al., 2005; Lee et al., 2008a;
Lee et al., 2008b, Lee et al., 2008c;
Lee et al., 2006; Lee et al., 2005)
highlighted the need to incorporate
scientific language instruction into the
teaching of scientific inquiry skills
while also focusing on content
acquisition. It is vitally important to
conduct more studies of this kind
relating content, language, and skill
integration in the science classroom.
Considering the
extremely small number of studies
relating specifically to standards-based
science outcomes for ELLs and language
minority students, the strongest
statements that can be made about the 22
studies reviewed relate to current
emphases in the field of science
education for linguistically and
culturally diverse students and possible
research directions.
1. The types
of standards-related cognitive
outcomes measures used and the
way results were reported did
not allow for clear
identification of how well or
how poorly language minority
students performed in science.
Standards-related outcomes were
typically associated with
cognitive measures such as tests
or grades. Test scores were not
necessarily from (state)
standards-based tests and may
not have been associated with
science tests at all. A few
studies included measures of
math and literacy as possible
outcomes. Researcher-developed
assessments that related to
standards-aligned curriculum
were common, but the studies
frequently did not report
linkages to state standards in
detail. In several studies,
gains in science learning as
measured by tests were reported,
but whether students met state
standards was not reported. In
still other studies data were
not necessarily disaggregated to
show the performance of ELLs and
language minority students in
the study sample. The field
could benefit greatly from more
studies incorporating cognitive
measures of standards-based
science learning, with clearly
disaggregated data for
linguistically and culturally
diverse students, and specific
indications of how far these
students have to go to meet
grade-level standards. Specific
knowledge in this area could
help educators and policymakers
plan effective programming and
choose the best standards-based
and instructional practices for
students.
2. The
influence of standards-based
teaching and learning on study
participants was not explicitly
acknowledged as a contextual
factor in research studies.
The majority of the 22 studies
reviewed involved students who
received (state) standards-based
instruction in their daily lives
at school or teachers who taught
standards-aligned science
curricula. Yet this influence on
the research was often not
explicitly acknowledged or
considered, particularly in
studies of student factors
associated with science
outcomes. Greater
contextualization of studies and
more direct links to
standards-based instruction are
needed. Findings from studies
that report affective or other
types of outcomes, as well as
those that report cognitive
outcomes, could be strengthened
by this more nuanced approach.
3. Most of
the studies reviewed focused on
either student-level factors
associated with science outcomes
(see Figure 2) or
classroom-level factors. Few, if
any, studies examined
school-level factors or state
and local policy factors and
their relationship to science
outcomes for ELLs and language
minority students. In
addition, only a handful of
studies linked together factors
from across levels (see Figure
2) to explain how multiple
levels within the education
system interact to play a role
in student outcomes. Teachers
make instructional decisions
within the context of decisions
that have already been made at
other levels (Creemers &
Kyriakides, 2008). Teachers also
may make different instructional
decisions depending on the
unique characteristics of the
students in their classrooms at
any given time. Studies linking
the various levels represented
in Figure 2 would help
educators, policymakers, and
researchers better understand
the complexities inherent in
teaching linguistically and
culturally diverse students.
At this point in
time, the research literature simply
does not provide enough information
about state standards-based science
outcomes for ELLs and language minority
students to guide educational
improvement efforts. This lack of
research may be, in part, because state
accountability for standards-based
science outcomes, in the form of
mandatory statewide achievement tests,
is relatively new. Policymakers,
educators, and researchers are just
beginning to turn their attention to the
instructional implications of
standards-based science assessment
scores for all students and largely have
not yet begun to focus on outcomes for
ELLs and language minority students.
Nevertheless, the available research
suggests some promising directions for
future research efforts.
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Examining the effects of a highly rated
science curriculum unit on diverse
students: Results from a planning grant.
Journal of Research in Science
Teaching, 42(8), 912-946.
Maheady, L.,
Michielli-Pendl, J., Harper, G., &
Mallette, B. (2006). The effects of
numbered heads together with and without
an incentive package on the science test
performance of a diverse group of sixth
graders. Journal of Behavioral
Education, 15(1), 25-39.
Marzano, R., &
Kendall, J. (1998). Awash in a sea of
standards. Denver, CO: Mid-Continent
Research for Education and Learning
(MCREL).
McClure, P. (2005).
Where standards come from. Theory
into Practice, 44(1), 4-10.
Medina, M., & Mishra,
S. (1994). Relationships among Spanish
reading achievement and selected content
areas for fluent- and
limited-Spanish-proficient Mexican
Americans. Bilingual Review, 19(2),
134-142.
National Research
Council (1999). Testing, teaching,
and learning: A guide for states and
school districts. Committee on
Title I Testing and Assessment, Richard
F. Elmore and Robert Rothman, editors.
Board on Testing and Assessment,
Commission on Behavioral and Social
Sciences and Education. Washington,
D.C.: National Academy Press.
Paige, R. (2003,
March). Remarks by Secretary Paige to
the Commonwealth Club of California.
Speech presented at the Commonwealth
Club of California.
Rivera, C., &
Stansfield, C. (2004). The effect of
linguistic simplification of science
test items on score comparability.
Educational Assessment, 9(3&4),
79-105.
Saderholm, J., &
Tretter, T. (2008). Identification of
the most critical content knowledge base
for middle school science teachers.
Journal of Science Teacher Education, 19,
269-283.
Shaw, J. (1997).
Threats to the validity of science
performance assessments for English
language learners. Journal of
Research in Science Teaching, 34(7),
721-743.
Stoddart, T., Pinal,
A., Latzke, M., & Canaday, D. (2002).
Integrating inquiry science and language
development for English language
learners. Journal of Research in
Science Teaching, 39(8),
664-687.
Torres, H., & Zeidler,
D. (2002). The effects of English
language proficiency and scientific
reasoning skills on the acquisition of
science content knowledge by Hispanic
English language learners and native
English language speaking students.
Electronic Journal of Science Education,
6(3). Available:
http://ejse.southwestern.edu/original%20site/manuscripts/v6n3/articles/art04_torres/torres.pdf
Varelas, M., Pappas,
C., Kane, J., Arsenault, A., Hankes, J.,
& Cowan, B. (2007). Urban primary-grade
children think and talk science:
Curricular and instructional practices
that nurture participation and
argumentation. Science Education,
65-95.
Appendix A
Studies Reviewed
|
Study
|
Focus and
Connection to Standards
|
Methods,
Measures and Sample
|
Findings
|
|
Amaral,
Garrison, & Klentschy (2002)
|
Project
evaluation
1. What
are participants’ rates
of achievement in
science content?
2. How
does the growth of ELLs
compare to growth by
different categories of
language minority
students?
3. How
does participation in
the Local Systemic
Reform Initiative affect
student achievement?
Optional science
portion of test used for state
standards
|
Method:
Quantitative non-experimental
Measures: SAT9
Science test
Sample: 615
grade 4; 635 grade 6 students in
bilingual, structured immersion
and English only classrooms from
one district
|
SAT9 mean
science scores went up
consistently with longer
participation in science
program.
District writing
scores went up (more
consistently for grade 6) with
longer program participation;
possibly due to science
journaling.
SAT9 math and
reading scores increased with
time in the science program.
Math increases were less
consistent and greater for grade
6.
Science,
writing, reading, and
mathematics achievement of
English language learners went
up with longer science program
participation.
|
|
Beghetto (2007)
|
Perceived
Science Competence
1. After
controlling for differences
in age, gender, and
ethnicity, are students’
goal orientations related to
their perceived science
competence beliefs?
2. Is there
an association between
students’ self-perceptions
of their ability to generate
creative ideas and their
perceived competence in
science?
3. Does a
link exist between students’
perceived science competence
and their perceptions of
teacher support and press?
No explicit link
to standards
|
Method:
Quantitative non-experimental
Measures: Survey
of school experiences (student
characteristics, perceived
science competence, achievement
goals, creative self-efficacy,
perceived teacher support)
Sample: 1,289
students in grades 6-12 (63%
language minority)
|
Perceived
science competence was related
to four factors (a) age, gender,
ethnicity; (b) mastery and
performance-approach goals; (c)
self-perceptions of creativity;
and (d) perceptions of teacher
support and degree of academic
challenge. The combination of
perceived teacher support and
degree of academic challenge is
related to positive
self-perceptions of competence.
Self-perceptions of creativity
were found to be the strongest
correlates with perceived
science competence. Perceived
teacher support alone was not
enough for developing positive
perceptions of academic
competence.
No data specific
to language minority students
|
|
Bouchey (2004)
|
Interplay
between others’ influence and
students’ psychological factors
in predicting achievement
1. Parents’,
teachers’ and classmates’
beliefs regarding the
importance of math and
science and the student’s
ability will predict
students’ reflected
appraisals of others’
beliefs
2. Students’
reflected appraisals would
predict their own
self-perceptions, scholastic
behavior, and math and
science performance
3. Support
from others predicts
students’ reflected
appraisals
No explicit link
to standards
|
Method:
Quantitative non-experimental
Measures:
Socializers’ (mothers, teachers,
classmates) beliefs and
behavior, students’ reflected
appraisals of importance of
doing well in math and science
and academic ability, students’
perceptions of others’ support
for math and science, students’
perceptions of importance of
math and science and their own
ability, students’ time and
energy given to math and
science, current performance,
prior achievement
Sample: 378
middle school students (11%
ELLs), 21 teachers, 150 mothers
|
Students’
reflected appraisals of what
their classmates, teachers, and
parents think isn’t an important
mediator between the actual
perceptions of these socializers
and students’ self-perceptions.
Adults and classmates may not
accurately report student’s
competence in science. Students
may have also had inaccurate
perceptions of others’
perceptions. Over time parents
and children, as well as
students and classmates, may
hold outdated perceptions to
which they pay less attention.
No data specific
to English language learners
|
|
Bouchey & Harter
(2005)
|
Test a
meditational model of relations
among (a) students’ perceptions
of others’ beliefs and behavior
regarding schoolwork, (b)
students’ own academic
self-perceptions and behavior,
and (c) academic performance.
No explicit
links to standards
|
Method:
Quantitative non-experimental
Measures:
Perceived importance of
math/science to others, support
for schoolwork, importance of
schoolwork, beliefs about the
student’s competence, scholastic
behavior, perceived competence,
current performance and prior
achievement.
Sample: 378
middle school students (41 ELLs)
|
Students’
self-perceived importance,
competence, scholastic behavior
and performance in science were
predicted by reflected
appraisals of adults’ beliefs
about the importance of science
and adults’ beliefs about
student competence in math and
science along with students’
perceived support for science.
Controlling for
maternal education, Latino
students reported lower mean
levels of perceived competence
than did European American
students.
|
|
Cuevas, Lee,
Hart & Deaktor (2005)
|
Impact of an
inquiry-based instructional
intervention
1. What is
the impact of the
instructional intervention
on students’ ability to
conduct science inquiry
overall and to use inquiry
skills of questioning,
planning, implementing,
concluding and reporting?
2. What is
the impact of the
instructional intervention
on narrowing gaps in the
ability to conduct inquiry
among demographic subgroups
of students with respect to
grade, achievement, gender,
ethnicity, SES, home
language, and English
proficiency?
No explicit
links to standards
|
Method: Mixed
method (quasi-experimental)
Measures:
Pre-post inquiry-based
instructional intervention.
Students completed an
elicitation protocol asking them
to design a scientific
investigation to solve a problem
about the effect of surface area
on the rate of evaporation
Sample: 25
students in grades 3 & 4 from
six linguistically and
culturally diverse elementary
schools (13 language minority
students exited from ESL; others
unclear)
|
The intervention
enhanced the inquiry ability of
all students regardless of
subgroup, particularly former
ELLs, low achieving students,
and low socioeconomic status
students.
|
|
Duran, Dugan, &
Weffer (1998)
|
Describe how
students construct biology
concept meanings based on extant
language skills and engage
students in constructing meaning
through meditational means.
No explicit
links to standards
|
Method:
Qualitative
Measures:
Participant observation,
questionnaires, interviews,
group discussions, standardized
tests at the end of the year
Sample: 14 10th
graders (all language minority
students) enrolled in a 32-week
academic preparatory science
course at a college
|
Students
initially watched the teacher
practice science and waited for
the teacher’s interpretation of
events. They did not construct
their own meanings of science as
long as the teacher provided
meanings. The teacher showed
students how to use resources in
the text to construct meaning
and emphasized relational
patterns for connecting ideas.
Students then used these
patterns to organize other
information in the course.
Diagrams of concepts were also
used as tools to promote
collaborative meaning-making
between teachers and students
and between groups of students.
|
|
Hadi-Tabassum
(1999)
|
A qualitative
and quantitative look at the
instructional curriculum and
teaching of one two-way
immersion 8th grade
science classroom that describes
implications for reform efforts.
No explicit
links to standards
|
Method: Mixed
method (quasi-experimental)
Measures:
Attitude survey
Sample: 25
at-risk 8th graders
(12 ELL)
|
There was a 10
point increase in the range of
student attitudinal scores about
science from before the
intervention to after the
intervention.
|
|
Hampton &
Rodriguez (2001)
|
Value of
implementing an inquiry science
curriculum with second language
learners.
No explicit
links to standards
|
Method:
Qualitative
Measures:
Student attitude surveys, three
focus groups with selected
(n=20) interns about their
experience after implementing
two lessons in larger
intervention, writing samples
from all interns (n=100)
providing feedback about the
effectiveness of implementing
the intervention, Likert scale
and open-ended comments from
classroom teachers.
Sample: 80 third
graders and 107 fifth graders
(largely ELLs); 100 university
interns who implemented a
science intervention in
elementary classrooms and the
classroom teachers
|
Data indicates
all participants had a strong
positive feeling of the value of
implementing an inquiry-based
curriculum. The curriculum
increased the first and second
language skills of participating
students along with their
science content knowledge and
skills.
|
|
Lau & Roeser
(2002)
|
How cognitive
and motivational factors
associated with performance and
commitment pathways to
achievement contribute to the
prediction of achievement
outcomes in science.
1. Both
sets of factors would
add incremental
predictive validity to
outcomes
2.
Cognitive abilities
would be most closely
associated with science
performance measured by
grades and test scores
3.
Motivational variables
would be most closely
associated with
students’ future science
activities
4.
Cognitive and
motivational factors
will have both direct
and indirect effects on
outcomes
Test based on
large-scale test items (e.g.,
NAEP, SAT, NELS: 88, etc.)
|
Method:
Quantitative non-experimental
Measures: Survey
of motivation and background
characteristics, assessments of
verbal, quantitative and spatial
ability, science achievement
tests, grades
Sample: 491 10th
and 11th graders
enrolled in science classes in
one high school in northern
California (131 language
minority students; 2 reported
limited English skills)
|
(a) Students
cognitive abilities were the
strongest predictors of
standardized test scores in
science; (b) motivation enhanced
the predictive ability of
science test scores and grades
beyond that of just ability; (c)
motivation was the strongest
predictor of engagement in
science and the potential to
choose science-related college
majors and jobs.
|
|
Lee, et al.
(2008a)
|
Teachers’
perceptions of the teaching and
learning impact of an
inquiry-based curriculum plus
teacher training intervention.
Test based on
science curriculum units aligned
with state standards; Test based
on NAEP/ TIMSS items
|
Method:
Descriptive
Measures: 3-part
questionnaire: (1) Effectiveness
of each component of
inquiry-based intervention for
science teaching; (2)
Effectiveness of instructional
materials and teacher workshops;
(3) Effectiveness of
intervention overall.
Sample: 44
elementary teachers of Haitian
Creole and Spanish speaking ELLs
|
Teachers
believed the intervention
(curriculum materials and
teacher training workshops) was
effective in promoting student
learning of science, language
and math. Receiving science
supplies was one of the most
important strengths.
|
|
Lee, et al.
(2008b)
|
Preliminary
investigation into the impact of
an instructional intervention on
science inquiry abilities among
linguistically and culturally
diverse elementary students.
Test based on
science curriculum units aligned
with standards; Test based on
NAEP/ TIMSS items
|
Method:
Quasi-experimental
Measures:
Researcher-developed science
tests based on instructional
units, test with NAEP/TIMSS
items that corresponded to
instruction
Sample: Year
1=1273 3rd-5th
graders; Year 2=1,620 4th-5th
graders; Year 3=431 5th
graders at six elementary
schools whose teachers
participated in teacher training
on new inquiry-based curriculum
(ELLs were 24% of sample)
|
Intervention was
generally effective in promoting
equity and achievement with
diverse students. Significant
pre-post test increases with
large effects in each of 3 years
at all grade levels on every
measure. 3rd graders
showed the most significant
gains and largest effect sizes.
Achievement gaps between
subgroups narrowed in some cases
and stayed consistent in others.
Item-level comparisons with
NAEP/TIMSS tests showed overall
positive performance by study
participants at end of each
school year.
|
|
Lee, et al.
(2008c)
|
Impact of a
3-year implementation of a
professional development
intervention (and associated
curriculum units) on science
achievement of culturally and
linguistically diverse
elementary students.
1. How
did participating
students perform in
science overall?
2. How
did performance differ
among demographic
subgroups in terms of
ethnicity, home
language, English
language proficiency,
socioeconomic status,
special education
status, and gender?
3. How
did students’
performance on
NAEP/TIMSS items compare
with the performance of
national and
International samples of
students?
State math test;
Test based on NAEP/ TIMSS items
|
Method: Quasi-
Experimental (with control)
Measures:
Researcher-developed science
test based on content of
inquiry-curriculum; Statewide
math test scores
Sample: 42 3rd
grade teachers, 818 3rd
graders (15 ELLs, 38 recently
exited language minority
students; unclear how many
others are language minority)
|
Treatment
students showed statistically
significant increase in science
achievement.
No statistically
significant difference in gains
between ELLS and former ELLs or
non-ELLs.
No significant
difference in achievement gains
for students retained in grade
due to low state test scores and
students not retained.
Treatment group
had a higher state math test
scores, especially on the
measurement strand associated
with the science intervention,
than comparison group.
|
|
Lee, et al.
(2006)
|
Examine the
impact of the first year of full
implementation of the
intervention on students’
science and literacy achievement
during the school year.
Used inquiry
definition found in NRC
standards; Inquiry-based
curriculum aligned with state
standards
|
Method: Mixed
method (Quasi-experimental)
Measures:
Pre-post intervention semi
structured inquiry task on
evaporation.
Sample: 28 3rd
and 4th graders from
seven classrooms in six
elementary schools where
teachers had participated in
inquiry-based science curriculum
training (13 Language Minority
students who were former ELLs).
Teachers were purposively
selected for effectiveness with
curriculum. 1 high achieving boy
and girl and one low-achieving
boy and girl were chosen from
each teacher’s classroom.
|
Students
demonstrated greater abilities
with some parts of the inquiry
task after the intervention but
still had difficulties with
other parts of the task. 4th
graders had a better
understanding and showed higher
gains relating to particular
aspects of the inquiry task
(control of variables, use of
measurement data, and tools to
support theories) compared to
third graders. Students from all
demographic backgrounds showed
large gains, but the largest
gains were shown by
"nonmainstream" and less
privileged students, including
former ELLs.
|
|
Lee, et al.
(2005)
|
Examine third
grade students’ science
achievement after the first year
of implementation of a
professional development
intervention (and associated
curriculum units)
1. Did
treatment students
display pre/post gains
in year 1?
2. Did
science achievement gaps
between levels diminish
pre/post?
3. Did
treatment and comparison
groups perform similarly
on the state math test?
Test based on
science curriculum units aligned
with state standards; Test based
on NAEP/ TIMSS items
|
Method:
Quasi-experimental
Measures:
Researcher-developed pre-post
intervention science tests; one
NAEP/TIMSS test given at the
start and end of school year,
one researcher-developed writing
prompt
Sample:1,523 3rd
and 4th graders from
six schools whose teacher
participated in inquiry-based
science curriculum training (25%
ELL)
|
Statistically
significant increases on all
measures of science and literacy
at both grades. Generally
stronger effects for science.
Achievement gaps between
subgroups of students narrowed
on some measures at 3rd
grade and narrowed for 4th
graders. Growth rates for ELLs
were similar to growth rates or
non-ELLs but ELLs scored lower
overall than other subgroups.
|
|
Luykx, Lee,
Mahotiere, Lester, Hart, &
Deaktor (2007)
|
Examine cultural
and linguistic interference in
the open-ended responses of 3rd
and 4th grade
students on paper-and-pencil
science tests.
Test based on
NAEP performance items
|
Method:
Qualitative (discourse analysis
of errors)
Measures:
Project-developed science
assessment administered pre-post
intervention; intervention not
part of study.
Sample: 1500 3rd
and 4th graders
(includes many ELLs; number
unspecified)
|
Analysis showed
that misinterpretation of
science test items was caused by
phonological/orthographic and
semantic interference from
students’ native languages.
Differences in cultural beliefs
and practices and
"languacultural" features of the
scientific language used in the
items also caused
misinterpretations.
|
|
Lynch, Kuipers,
Pyke, & Szesze (2005)
|
Results of a
planning grant studying the
effects of a highly rated
science curriculum unit on a
diverse population.
Science test
based on curriculum aligned with
AAAS standards (Conservation of
Matter Assessment)
|
Method: Mixed
method (Quasi-experimental with
control plus ethnographic study
of classroom)
Measures:
Conservation of Matter
Assessment related to Chemistry
that Applies curriculum,
motivation and engagement
questionnaire
Sample: 1500 8th
graders in 5 diverse middle
schools with oversampling from
most diverse schools (139
ELLs—61 comparison, 78
treatment; 331 language minority
students—140 comparison, 191
treatment)
|
Students in both
conditions generally reported
being engaged, being interested
in learning and being focused on
their own performance.
Subgroups of
students in treatment group
(using Chemistry that Applies
curriculum) outperformed
comparison group students in
same subgroup except for ELLs.
There was a statistically
significant interaction between
ELL level and curriculum
condition (treatment vs.
comparison). ELLs either did not
learn well with Chemistry that
Applies curriculum or could not
demonstrate their learning on
the test.
Language
minority students made academic
achievement gains with treatment
condition.
For whole group,
Chemistry that Applies
curriculum improved
understanding of content but did
not close previously existing
achievement gaps between
subgroups.
|
|
Maheady,
Michielli-Pendl, Harter, &
Mallette (2006)
|
Examined the
effects of Numbered Heads
Together with and without a
behavioral incentive package on
6th graders daily
quiz scores and pretest-posttest
performance in chemistry.
Daily quizzes on
state standards-based science
instruction; Summative science
tests on state standards-based
science instruction
|
Method: Single
case experimental
Measures: Pupil
satisfaction measure, Daily
quizzes, chemistry pre-tests and
post-tests
Sample: 23 6th
graders (8 ELLs) in general
education science class
|
Every student
performed better on quizzes and
tests when Numbered Heads
Together or Numbered Heads
Together plus a behavioral
incentive were used. However,
the addition of a behavioral
incentive to Numbered Heads
Together improved student
performance on daily chemistry
quizzes and student satisfaction
with instruction over Numbered
Heads Together alone or the
comparison condition (whole
group instruction).
|
|
Medina & Mishra
(1994)
|
Examined the
relationship between Spanish
reading achievement and
native-language academic
performance in math, social
studies, and science for the
total sample of ELLs and fluent
Spanish proficient students in a
maintenance bilingual program.
No explicit
links to standards
|
Method:
Quantitative non-experimental
Measures: La
Prueba Spanish reading, math,
social studies, and science test
scores
Sample: 980 7th
and 8th graders in a
maintenance bilingual program
(462 fluent Spanish proficient
students, 518 Spanish-speaking
ELLs)
|
Positive,
statistically significant
correlations were shown for La
Prueba subtest scores for all
students. There was a
significant association between
native language proficiency
(Spanish) of ELLs and their
Spanish academic performance.
Moderately high, positive, and
significant relationships found
between Spanish social studies
and science, and between Spanish
reading and science support the
theory that initial development
of native-language literacy
provides support for learning
content in the same language.
|
|
Shaw, J. (1997)
|
1. How
do ELLs respond to
performance assessment
in science?
2. Are
acceptable levels of
inter-rater agreement
achievable when scoring
ELLs’ responses to a
science performance
assessment?
3. Can
science performance
assessments written in
English validly measure
scientific literacy
among ELLs despite their
inevitable dependence on
some extent of English
language proficiency?
4. How
do teachers of ELLs
respond to performance
assessment in science?
No explicit
links to standards
|
Method:
Qualitative
Measures: Field
observations before, during, and
after implementation of a
performance assessment (Rate of
Cooling Assessment), student,
teacher and administrator
interviews, student transcript
analysis
Sample: 96 high
school students (all ELLs)
|
Both teachers
and students had an overall
favorable response to the
performance assessment, but
students’ English skills
affected their performance on
some items. Specific teacher
guidance about how to understand
the demands of the assessment
also significantly affected
student scores.
|
|
Torres & Zeidler
(2002)
|
1. What
are the effects of
English language
proficiency and levels
of scientific reasoning
skills on the
acquisition of science
content knowledge of
Hispanic ELLs
participating in grade
10 science classes?
2. Do
English language
proficiency and
scientific reasoning
skills interact to
influence the
acquisition of science
content knowledge by
Hispanic ELLs and Native
English language
speaking students
participating in grade
10 science?
State science
test
|
Method:
Quantitative non-experimental
(Ex post facto)
Measures: TOEFL
English assessment, test of
scientific reasoning skills,
state science test
Sample: 158 10th
graders taking science (134
ELLs)
|
Significant
2-way interaction between
English language proficiency and
scientific reasoning skills with
regard to performance on the
standardized science test. This
interaction implies that the
combination of high levels of
English proficiency and high
levels of reasoning skills
increase students’ ability to
learn content.
|
|
Varelas, Pappas,
Kane, Arsenault, Hankes, & Cowan
(2007)
|
Focus on the
concept of matter and explore
how young children in urban
schools bridge their spontaneous
concepts and everyday
experiences with scientific
concepts introduced to them by
children’s literature
information books and their
teachers.
No explicit
links to standards
|
Method:
Qualitative
Measures: Field
notes, transcripts of videotaped
class discourse, student
artifacts (e.g., written work,
pictures of class artifacts).
Sample: 6
classes (2 each of grades 1, 2,
and 3) and their teachers (ELLs
and language minority students
included; unclear number)
|
Material
artifacts used in a sorting
activity in science class (e.g.,
baggie with air, baggie with
shaving cream) become devices
that promoted children’s
engagement with science and
shaped classroom, communication,
discussion, and thinking.
Children used four ways of
reasoning about states of matter
(i.e., macroscopic properties,
prototypes, everyday functions,
and process of elimination).
Children’s meaning making was
interconnected with their
classroom roles, how they worked
with each other and how others
responded to their ideas.
|
Appendix B
Study Outcomes and their
Relationship to State Standards
|
|
Cognitive
Outcomes
|
Affective
Outcomes
|
Other Outcomes
|
|
Study
|
Related to
State Standards
|
Other
|
Related to
State Standards
|
Other
|
Related to
State Standards
|
Other
|
|
Amaral et al.
(2002)
|
Optional science
portion of standardized test
used for accountability (SAT9)
|
|
|
|
|
|
|
Beghetto (2007)
|
|
|
|
Creative
self-efficacy
Perceived
teacher support
Perceived
science competence
Achievement
goals
|
|
|
|
Bouchey (2004)
|
|
Grades
Standardized
science test scores (ITBS)
|
|
Math importance
Time and energy
devoted to math and science
Perceived math
ability
Others’
perceptions of science ability
Reflected
appraisals of science ability
Reflected
appraisals of performance
Reflected
appraisals of support
|
|
|
|
Bouchey & Harter
(2005)
|
|
Grades
Standardized
science test scores (ITBS)
|
|
Perceived
importance of math/science to
others
Support for
schoolwork
Beliefs about
the student’s competence
Importance of
schoolwork
Scholastic
behavior
Perceived
competence
|
|
|
|
Cuevas et al.
(2005)
|
|
|
|
|
Ability to
conduct science inquiry
|
|
|
Duran et al.
(1998)
|
|
|
|
|
|
Learning to talk
science
Recognition of
meaningful concepts, tools and
signs
|
|
Hadi-Tabassum
(1999)
|
|
|
|
Science
attitudes
|
|
|
|
Hampton et al.
(2001)
|
|
|
|
Science
attitudes
|
|
Teacher
perceptions of student learning
|
|
Lau & Roeser
(2002)
|
|
Test based on
large-scale test items (e.g.,
NAEP, SAT, NELS: 88, etc.)
|
|
Perceived
ability to master science
content and perform well on
tests
Task values
related to science engagement
Intended science
choices in college
|
|
|
|
Lee et al.
(2008a)
|
|
|
|
|
|
Teacher
perceptions of student learning
|
|
Lee et al.
(2008b)
|
Test based on
science curriculum units aligned
with standards
|
Test based on
NAEP/TIMSS items
|
|
|
|
|
|
Lee et al.
(2008c)
|
State math test
|
Test based on
NAEP/TIMSS items
|
|
|
|
|
|
Lee et al.
(2006)
|
|
|
|
|
Ability to
conduct student inquiry
|
|
|
Lee et al.
(2005)
|
Test based on
science curriculum units aligned
with standards
|
Test based on
NAEP/TIMSS items
|
|
|
|
|
|
Luykx et al.
(2007)
|
|
Test based on
NAEP/TIMSS items
|
|
|
|
|
|
Lynch et al.
(2002)
|
|
Science test
based on curriculum aligned with
AAAS standards (Conservation of
Matter Assessment)
|
|
Mastery goal
orientation
Performance goal
orientation
|
|
|
|
Maheady et al.
(2006)
|
Summative
science tests on standards-based
instruction
Daily quizzes on
standards-based instruction
|
|
|
Student
satisfaction with intervention
options
|
|
|
|
Medina & Mishra
(1994)
|
|
Spanish reading,
math, science, and social
studies tests (La Prueba)
|
|
|
|
|
|
Rivera &
Stansfield (2004)
|
Mean scores on
field test portions of state
science test
|
|
|
|
|
|
|
Shaw (1997)
|
|
Science
performance assessment (Rate of
Cooling or ROC)
|
|
|
|
|
|
Torres & Zeidler
(2002)
|
State science
test
|
Test of
scientific reasoning skills in
English or Spanish
Language test
(TOEFL)
|
|
|
|
|
|
Varelas et al.
(2007)
|
|
|
|
|
|
Meaning making
in collaborative science
|
|