View
0
Download
0
Category
Preview:
Citation preview
A version of this paper was published as:
Maerten-Rivera, J., Penfield, R., Myers, N., Lee, O., & Buxton, C. (2009). School and teacher predictors
of science instruction practices with English language learners in urban elementary schools. Journal of
Women and Minorities in Science and Engineering, 15(2), 93-118.
Abstract
This study examined predictors of the following three science teaching practices with English
language learning (ELL) students: (a) reform-oriented practices to promote understanding and
inquiry, (b) traditional/conventional practices, and (c) English language development practices.
Data were collected from 140 third through fifth grade teachers. Teacher predictors included
years of teaching, science courses taken, and perception of science knowledge. Predictors
pertaining to school support included principal support and discussion of student diversity.
Predictors pertaining to school barriers included standardized testing and poor student academic
skills. Results indicate that perception of science knowledge and discussion of student diversity
were significant predictors of both reform-oriented and traditional/conventional practices.
Student diversity, standardized testing, and poor student academic skills were significant
predictors of English language development practices.
Predictors of Science Instruction 2
School and Teacher Predictors of Science Instruction Practices
with English Language Learners in Urban Elementary Schools
The challenge of educating an increasingly diverse student population led to the No Child
Left Behind [NCLB] Act of 2001 which mandates high-stakes testing and accountability in core
subject areas as a means of ensuring that all students achieve high academic standards. Science is
included as part of accountability systems in many states and is expected to be part of the NCLB.
Science educators have examined effective practices in science teaching generally (American
Association for the Advancement of Science [AAAS], 1989; National Research Council [NRC],
1996), and effective practices specifically aimed at teaching science to diverse student groups in
urban settings (Lee & Fradd 1998; Rodriguez, 1998). A central requirement of effective science
teaching includes promoting scientific understanding and inquiry (AAAS, 1989; NRC, 1996).
Unfortunately, this element is often missing from today’s science classrooms as many
elementary school teachers are not adequately prepared to teach science effectively (Garet,
Porter, Desimone, Birman, & Yoon, 2001; Kennedy, 1998; Loucks-Horsley, Hewson, Love, &
Stiles, 1998).
This study was conducted as part of a larger five-year research and development project.
The data were collected prior to implementation of an intervention and involved third through
fifth grade teachers from 15 urban elementary schools that enrolled a high number of English
language learning (ELL) students in a large school district. We examined teacher and school
variables as predictors of the following three science teaching practices with ELL students: (a)
reform-oriented teaching practices to promote understanding and inquiry, (b)
traditional/conventional practices, and (c) English language development practices. Teacher
predictors included number of years teaching, total number of science courses taken, and
Predictors of Science Instruction 3
perception of science knowledge. School supports included principal support of science
instruction and discussion of student diversity in the context of science. School barriers included
standardized testing and poor student academic skills.
The purpose of this study is to examine both teacher and school variables that influence
science teaching to ELL students while no intervention is in place. This study contributes to the
understanding of science teaching practices in the context of school supports and barriers as well
as teacher characteristics. The results can assist in designing and implementing professional
development aimed at promoting reform-oriented practices with ELL students in urban
elementary schools. The results can also be used to help the teachers develop more reflective
practices as they consider a wide range of features that may consciously or subconsciously
influence their science teaching practices with ELL students.
Literature Review
Teaching practices in science are influenced by teacher characteristics, such as
knowledge of the academic content and strategies used to teach the content. In addition to factors
residing within individual teachers, features related to school organization, such as interactions
between school administrators and teachers, also influence teaching practices.
Reform-Oriented Science Teaching Practices with ELL Students
Science reform documents indicate that teachers should promote students to develop deep
and complex understandings of science concepts, be able to make connections among science
concepts, and be able to apply science concepts in explaining natural phenomena or real world
situations (NRC, 1996). Teachers should also engage students in scientific inquiry to promote the
development of arguments and justification of solutions based on evidence (NRC, 2000).
Predictors of Science Instruction 4
ELL students need to develop English language and literacy skills in content areas, such
as science, in order to achieve at the same level as their English-speaking peers. Therefore,
science instruction should provide a meaningful learning environment for English language and
literacy development. Simultaneously, English language and literacy development should
provide the medium for understanding science content (Amaral et al., 2002; Buxton, 1998;
Fathman & Crowther, 2006; Lee & Fradd, 1998). Teachers need to create classroom
environments that promote ELL students’ development of general and content-specific academic
language (Wong-Fillmore & Snow, 2002).
The adoption of reform-oriented teaching practices in science has the dual effect of
improving English language acquisition as well as science learning. Hands-on, inquiry-based
teaching practices are particularly effective for ELL students to learn science and acquire English
language proficiency simultaneously (Amaral, Garrison, & Klentschy, 2002; Lee, Deaktor, Hart,
Cuevas, & Enders, 2005; Rosebery, Warren, & Conant, 1992). Hands-on activities are often less
dependent on formal mastery of the language of instruction, thus reducing the linguistic burden
on ELL students. Hands-on activities promote students’ communication of their understanding in
a variety of formats, including gestural, oral, graphic, and textual. Additionally, hands-on
activities through collaborative inquiry foster authentic communication about science knowledge
and practice.
In reality, however, many elementary school teachers have difficulty adopting reform-
oriented practices to promote students’ scientific understanding and inquiry. After engaging in
large-scale professional development, teachers often blended reform-oriented practices with
traditional/conventional practices (Cohen & Hill, 2000; Knapp, 1997). For example, they might
engage students in hands-on activities or ask the students to pose questions (reform-oriented
Predictors of Science Instruction 5
practices), but then not help students make sense of the data collected or ask for explanations
based on evidence (traditional/conventional practices). Furthermore, many teachers continue to
use traditional teaching practices that consist of reading about science concepts from textbooks,
memorizing science facts or vocabulary, and responding to questions in worksheets. Such
practices have contributed to racial and gender inequities in science achievement and poor
performance on international measures of science outcomes for the last few decades.
Many elementary school teachers have additional difficulties teaching science to ELL
students. They may believe that ELL students must acquire English before learning science, be
unaware of cultural and linguistic influences on science learning, fail to consider “teaching for
diversity” as their responsibility, overlook linguistic differences, or accept inequities as a given
condition (Bryan & Atwater, 2002; Rodriguez & Kitchen, 2005). Also, many teachers do not
incorporate English language and literacy development as part of science instruction.
Furthermore, most teachers focus on ELL students’ acquisition of English, but fail to take
advantage of ELL students’ oral and written proficiencies in their home language.
Teacher Characteristics in Teaching Science for Student Diversity
It seems self-evident that teachers must know the subject matter they are required to teach
(Kennedy, 1998). Teachers’ knowledge of subject matter is a particularly important issue in
science education, as many teachers of science have only limited preparation in the science
disciplines. Many elementary school teachers have difficulty promoting students’ scientific
understanding and inquiry because of their insufficient knowledge of science content and
content-specific teaching strategies (Garet et al., 2001; Kennedy, 1998; Loucks-Horsley et al.,
1998). They often have the same misconceptions or alternative frameworks about science as their
students (Abd-El-Khalick, Bell, & Lederman, 1998; Lonergan, 2000; Smith & Neale, 1989).
Predictors of Science Instruction 6
Teachers who possess subject matter expertise and the ability to represent the subject matter to
their students are more likely to engage in conceptually rich, inquiry based activities that
facilitate students’ scientific understanding, whereas teachers with weak subject matter
knowledge are more likely to rely heavily on the textbook as the primary source of subject matter
content (Carlsen, 1991; Tobin & Fraser, 1990). This is problematic for student learning, since
science textbooks generally fail to address students’ misconceptions and teachers with weak
science knowledge are unable to clarify students’ confusion (Donovan, 1997). One way that
teachers may increase their subject matter expertise is through college coursework. Monk (1994)
found that additional teacher coursework in subject matter was related to an increase in student
learning.
In addition to knowledge of subject matter, literature indicates other teacher
characteristics influencing science teaching practices. Teachers should have pedagogical content
knowledge or know how to represent subject matter content in ways that their students can
understand (Shulman, 2004). Research suggests that novice teachers are often unprepared in both
content and pedagogy to teach for understanding in their discipline (Adams & Krockover, 1997;
Ball & McDiarmid, 1990).
School Supports and Barriers in Teaching Science for Student Diversity
School supports. School leadership is one source of support for the teaching of science,
particularly in a context in which other core subjects (i.e., reading, writing, and mathematics)
command the bulk of the resources by virtue of tradition and formal policy. Spillane et al. (2001)
examined how the school leadership (i.e., administrators and lead teachers in science) at one
urban elementary school successfully identified and activated resources for promoting change in
science education. The researchers argue that promoting change in science education involves
Predictors of Science Instruction 7
the identification and activation of: (a) physical resources (i.e., money and other material assets);
(b) human capital of teachers and school leaders (i.e., the individual knowledge, skills, and
expertise that form the stock of resources available in an organization); and (c) social capital
(i.e., the relations among individuals in a group or organization, and such norms as trust,
collaboration, and a sense of obligation). The researchers emphasize the importance of
“distributed leadership,” in which administrators and teacher leaders support and sustain the
professional community.
Collaboration among teachers within a school is another source of support for the
teaching of science. Gamoran and his colleagues (2003) argued that successful efforts to enable
students to learn mathematics and science with understanding entailed the strategic use of
human, social, and physical resources to promote change among teachers, including those
teachers who would otherwise resist change. Challenges to such strategic use of resources are
more formidable in urban schools where funding tends to be limited (Hewson et al., 2001; Knapp
& Plecki, 2001; Spillane et al., 2001).
Studies involving schools that enroll large numbers of ELL students have produced
similar findings, although science is seldom the focus in the literature (as exceptions, see Fradd
& Lee, 1995; Garcia & Lee, 2008). Effective schools for ELL students highlight language
development both in students’ home languages and in English as a key feature of the school’s
instructional program. Minicucci (1996) reported that four middle schools offering exemplary
science and mathematics programs to ELL students gave them access to challenging and
stimulating science and mathematics curricula by teaching them either in their home languages
or via sheltered English instruction.
Predictors of Science Instruction 8
School barriers. In addition to school supports, schools present barriers to the teaching of
science. Typically, barriers are more than simply the absence of supports. Some barriers are
internal characteristics residing within the school, and may be associated with students (e.g.,
poor academic skills in reading, writing, and math), personnel (e.g., administrator turnover,
teacher turnover, low morale among teachers), and other school-level constraints (e.g., shortage
of science supplies, large class size, lack of time to teach science, pullout programs during
science). In their review of literature on schools as social organizations, Gamoran, Secada, and
Marrett (2000) argued that teachers sometimes resist, if not work directly against, programmatic
changes that are supported by other teachers in their school, thereby revealing school-level
organizational divides. Such tensions are felt more acutely in urban schools due to limited
resources and funding (Hewson et al., 2001; Knapp & Plecki, 2001; Spillane et al., 2001).
Barriers also include external forces that impinge on school functioning. In the current
policy environment, accountability measures influence instructional practices both in subject
areas that are tested and in those that are not tested. When science is not part of accountability, it
may be taught only minimally in the elementary grades (Knapp & Plecki, 2001; Spillane et al.,
2001). When science is part of accountability, this may force schools to introduce the teaching of
science in ways that take away from other subject areas. In other words, school subjects end up
competing against one another for time, resources, and quality. This tension may be experienced
more acutely in low-performing urban schools due to the urgency of developing basic literacy
and numeracy. Furthermore, urban school teachers face added challenges, as sanctions against
poor academic performance are disproportionately leveled against them, their students, and their
schools (Settlage & Meadows, 2002; Wideen, O’Shea, Pye, & Ivany, 1997).
Predictors of Science Instruction 9
Multifactor Influences on Science Teaching
A small number of studies (Banilower, Heck, & Weiss, 2007; Supovitz, Mayer, & Kahle,
2000; Supovitz & Turner, 2000) examined both teacher-level and school-level predictors of
science teaching practices after teachers participated in an intervention. Supovitz and Turner
(2000) used a teacher survey to examine teacher-level and school-level predictors of inquiry-
based teaching practices. At the teacher level, minority status, content preparation, principal
supportiveness, and classroom culture were all significant predictors and were positively
associated with inquiry-based teaching practices. At the school-level, proportion of students on
free or reduced lunch, town (as compared to urban), and school size were all significant
predictors and were negatively associated with inquiry-based teaching practices.
Banilower et al. (2007) used a teacher survey to examine teacher-level and school-level
predictors of investigative and traditional practices in science following teacher professional
development. With regard to investigative practices, at the teacher-level, principal support and
fewer years of teaching experience in addition to professional development were positively
associated. At the school-level, number of students enrolled in the school was negatively
associated with investigative practices, whereas the percent of students classified as limited
English proficient was positively associated. With regard to traditional practices, principal
support was positively associated as a teacher-level predictor. At the school level, both number
of students enrolled in the school and number of students classified as non-Asian minority were
positively associated with traditional practices, whereas the percent of students classified as
limited English proficient was negatively associated.
Predictors of Science Instruction 10
Research Purpose and Questions
The existing literature indicates that elementary teachers of science to ELL students in
urban schools are influenced by a number of factors, including insufficient knowledge of science
content and inadequate skills in using content-specific teaching strategies. In addition, teachers
struggle to address the academic needs of ELL students while also teaching content knowledge
and vocabulary associated with the content. Beyond these teacher characteristics, school
characteristics, such as organizational supports and barriers within and outside the school,
influence teaching practices with ELL students.
This study was part of a five-year research project designed to simultaneously promote
urban elementary school teachers’ knowledge of science content, practices in teaching science,
and practices for supporting English language development of ELL students in a large urban
school district. As initial efforts to design effective professional development interventions, this
study explored the influence of both teacher and school characteristics on teacher practices in
teaching science to ELL students.
This study examined how teacher characteristics (i.e., number of years teaching, number
of science courses, and perceived science knowledge) and school characteristics collected at the
individual level (i.e., school supports including principal support of science and discussion of
student diversity, and school barriers including standardized testing and poor student academic
skills) were related to the following three science teaching practices with ELL students: (a)
reform-oriented teaching practices to promote scientific understanding and inquiry, (b)
traditional/conventional practices in teaching science, and (c) teaching practices for English
language development during science class. The research questions being investigated are:
Predictors of Science Instruction 11
1) What are teacher and school predictors of reform-oriented teaching practices to
promote scientific understanding and inquiry?
2) What are teacher and school predictors of traditional/conventional practices in
teaching science?
3) What are teacher and school predictors of teaching practices for English language
development during science class?
This study contributes to the existing literature by examining both teacher and school
variables that influence urban elementary teachers’ practices in teaching science to ELL students.
Although a few studies have examined variables related to teacher practices in science, these
studies addressed changes in teacher practices as the result of participation in a professional
development intervention (Banilower et al., 2007; Supovitz et al., 2000; Supovitz & Turner,
2000). This study differs in that it examined variables related to science teaching without an
intervention in place. It is important to examine science teaching practices prior to any
intervention in order to guide us in developing an effective professional development
intervention for our larger five-year project. It will also help us in accurately assessing the
growth of the teachers throughout the intervention. Although this study differs from the others in
several aspects, it examined some of the same predictors. This overlap allows us to compare the
results of this study to those of other studies. This comparison may be useful in confirming
previous results in the literature or identifying other predictors of teaching practices in future
research. Future research may also compare changes brought about by different interventions.
In addition, this study looked at a specific population by examining urban elementary
school teachers working with a high proportion of ELL students in their classes. This student
population has traditionally lagged behind their English-speaking peers, as they must learn
Predictors of Science Instruction 12
content knowledge through a yet unmastered language in schools that frequently have limited
resources. As high-stakes testing and accountability in science approaches, attention has turned
to finding the most effective science teaching practices. This study examined factors influencing
teaching practices with this specific student population to better understand how to improve
science teaching for ELL students and to decrease the science achievement gap of ELL students.
The results of this study established a baseline for our intervention in regards to the role
of both the teacher and the school in various areas of science instruction. Our intervention is
longitudinal and will address a number of issues and concerns when teaching science to ELL
students while taking into account high-stakes testing and accountability. The results can be used
to determine areas of science instruction that should be addressed through professional
development interventions with elementary school teachers of ELL students in urban settings
within high-stakes testing and accountability policy contexts.
Research Setting and Procedures
School Selection and Participants
The research was conducted in a large urban school district in the southeast U.S. with a
student population displaying a high level of linguistic and cultural diversity. The study is part of
a larger research and development project. During the 2004-2005 school year, the ethnic makeup
of the student population in the school district was 60% Hispanic, 28% Black (including Haitian
and Caribbean immigrants), 10% White Non-Hispanic, and 2% Asian or Native American.
Across the school district, 72% of elementary students participated in free or reduced price lunch
programs, and 24% were designated as limited English proficient (LEP), the state’s term for ELL
students in ESOL programs.
Predictors of Science Instruction 13
The schools selected for the study were above the district average in percentages of low
SES and ELL students and were rated by the state as academically low performing. In late May
2004, elementary schools were selected for inclusion in the study based on three criteria: (a)
percentage of ELL students (predominantly Spanish or Haitian Creole-speaking students) above
the district average, (b) percentage of students on free and reduced price lunch programs above
the district average, and (c) a minimum of four years getting school grades of C or D according
to the state’s accountability plan. This plan, which started in the 1998-1999 school year, assigns
grades of A, B, C, D, or F to each school. The research avoided working with so-called failing
(or F) schools because the district was focusing many resources and programs on those schools.
Of the 206 elementary schools in the district, 33 schools met these criteria. Our letter of
invitation was sent to the principals of these schools to ascertain their and their faculty’s interest
in and commitment to a five-year professional development intervention project. Of the 33
schools, 17 volunteered to participate. Eight schools initially received the intervention and nine
schools served as comparison schools. Shortly after the project commenced, one treatment and
one comparison school withdrew, for a total of 15 schools participating in the larger project.
For our school-wide initiative, every third through fifth grade teacher in each of the 15
participating schools was asked to complete a questionnaire. Table 1 presents the demographic
makeup of the third through fifth grade students in these 15 schools. The students were
predominantly Hispanic and Black (including many Haitian) from low SES backgrounds. Close
to 40% of the students were currently in ESOL programs or had exited from ESOL programs
within the previous two years.
------------------------------------------------------------------------- Insert Table 1 About Here.
-------------------------------------------------------------------------
Predictors of Science Instruction 14
Table 2 shows the demographic makeup of the teachers in the study. The study sample
included 140 teachers; the number of teachers per school ranged from 2 to 21 with an average of
9 teachers per school. The majority of the teachers identified themselves as being from
racial/ethnic nonmainstream backgrounds, which reflected the overall teacher demographics of
the school district. The nearly 40,000 teachers in the district consisted of 41% Hispanic, 34%
Black, 24% White Non-Hispanic, and 1% Asian/Pacific Islander. Of the teachers in the study,
more than one third reported languages other than English as their native language. Slightly over
half of the teachers reported having a bachelor’s degree while less than half reported having
graduate degrees. Their teaching experience ranged from 1 to 39 years, with an average of 11.5
years. They had been teaching at their current schools for an average of 7.5 years.
------------------------------------------------------------------------- Insert Table 2 About Here.
-------------------------------------------------------------------------
Instrument
We developed a survey instrument based on relevant literature, our previous research
(Author, 1995, 2003, 2004), and extensive field-testing with the entire teacher sample in the
beginning of our current research during the fall of 2004. Validity evidence for measures
obtained from the instrument was provided by multiple sources. Throughout the developmental
stage, a diverse group of content experts representing the areas of science education,
ESOL/bilingual education, school organizations, and high-stakes testing and accountability,
jointly conceptualized the constructs to be measured. Through numerous stages and pilot testing,
items addressing the constructs being measured were selected from various sources, including
national and international studies and individual research projects. If preexisting items did not
Predictors of Science Instruction 15
address the construct being measured, new items were developed. The items were clustered
based on content validity and empirical information from pilot testing.
The items were categorized into four broad areas: (1) teaching practices with a focus on
reform-oriented practices, traditional/conventional practices, and English language development
practices, (2) teacher background, (3) school supports, and (4) school barriers. To help teachers
think about their actual classroom practices and guard against responding quickly without
thinking about their actual practices, items inquiring into teacher “practices” were framed in
terms of specific time periods (such as “in the last month”) and were focused on practices that
teachers engaged in for sustained periods of time (such as “for at least 10 minutes”). The
instrument is unique in that: (a) it includes items that form scales to measure latent constructs,
thus increasing the reliability and validity of the measures over that of single items; (b) it
considers science instruction and student diversity simultaneously; (c) it examines both
classroom-level and school-level variables; and (d) it addresses issues pertinent to the education
of nonmainstream students in urban schools. The items are provided in the Appendix.
Data Collection
The teachers in the study completed the questionnaire at their school sites in May of
2005. Of the 230 teachers in the pool, 221 teachers (96%) completed the questionnaire. Of the
221 teachers, 45 third grade teachers who had begun their participation in the intervention and 36
teachers who were not required to teach science due to departmentalization at their schools were
excluded from the analyses. Thus, the completed questionnaires of 140 teachers were used for
analysis purposes. The questionnaire took 30 – 45 minutes to complete. A small compensation
was offered to participating teachers.
Predictors of Science Instruction 16
Data Analysis
The questionnaire consisted of items that were grouped together to form scales. The
scales used a four or five-point rating system for each item. The score for each scale was
computed using the average of the responses to the items that comprised the scale. Use of the
average item response, as opposed to the summated score, ensured that missing responses would
not lead to a systematic negative bias of the scale scores. A scale score was computed only for
those respondents who had valid responses for at least 75% of the items in the scale. If someone
answered fewer than 75% of a scale’s items, the respondent’s scale score was set to be missing
and omitted from analysis pertaining to that particular scale. The reliability of the obtained scale
scores was estimated using Cronbach’s alpha. Internal reliability estimates ranged from .77 to .96
(see Table 3). Correlations between composite scores were consistent with theoretically-based
expectations, which provided evidence for external validity of the measures. The data were not
factor analyzed due to a relatively small sample for this purpose (Thompson, 2004).
------------------------------------------------------------------------- Insert Table 3 About Here.
-------------------------------------------------------------------------
Subsequent inferential analyses were used to model teacher practices as a function of
teacher background and school support/barrier predictors. Three different sets of models were
considered, each in relation to one of three aspects of teacher practices: (a) use of reform-
oriented practices to promote scientific understanding and inquiry, (b) use of
traditional/conventional practices, and (c) use of English language development practices.
Teacher background predictor variables were based upon information collected from the
teachers’ self-reports on the questionnaire. Three teacher variables were included in the analysis:
(a) the number of years they had been teaching; (b) the number of science courses they had taken
Predictors of Science Instruction 17
in six different areas, with the highest category of “7 or more” science courses collapsed together
(see Section II in the Appendix; the number of science courses was added together and could
range from 0 to 36); and (c) the score obtained from a scale measuring the teachers’ perceived
science knowledge. School support predictor variables in teaching science were scores obtained
from scales measuring principal support of science and discussion of student diversity. School
barrier predictor variables were scores obtained from scales measuring standardized testing and
poor student academic skills.
Multilevel or hierarchical linear modeling (HLM; Raudenbush & Bryk, 2002) relaxes the
assumption of independence of observations. In this study, teachers were nested within schools.
The degree to which this nesting created an empirical dependency was evaluated for each of the
dependent variables by (a) estimating the proportion of variance that was attributable to schools,
and (b) imposing a single parameter hypothesis test that the relevant population variance equals 0
(α = .05). In all three cases, the proportion of variance attributable to schools was less than 3%
and the relevant null hypothesis was retained. From this point forward, therefore, fixed effects
linear regression models were imposed.
A series of regression analyses were conducted to examine how teaching practices in
science with ELL students were predicted by teacher and school characteristics. Separate
simultaneous regression analyses were conducted for each dependent variable: (a) reform-
oriented practices to promote understanding and inquiry, (b) traditional/conventional practices,
and (c) English language development practices. All models used the same seven predictor
variables: number of years teaching, number of science courses, science knowledge scale,
principal support of science scale, teacher discussion of student diversity scale, standardized
testing barrier scale, and students’ poor academic skills barrier scale. Pearson correlations among
Predictors of Science Instruction 18
the predictor variables ranged from -0.06 to 0.72. In each analysis, only respondents who had
valid responses on all of the variables used in the analysis were included. The coefficients for
which p < .05 were interpreted as differing significantly from zero.
Results
Reform-Oriented Practices to Promote Understanding and Inquiry
The results of the regression equation predicting reform-oriented practices from the
teacher and school predictors are presented in Table 4. The model explained a statistically
significant proportion of the variance in reform-oriented practices, R2 = .34, F [7, 104] = 7.62, p
< .001. The predictors combined to account for 34% of the variance in reform-oriented practices.
The scores obtained from the science knowledge and student diversity scales were significant
predictors.
The unstandardized coefficient for the science knowledge scale was 0.35, t[104] = 4.09, p
< .001. The resulting coefficient of 0.35 indicates that each one point increase on the science
knowledge scale was associated with an increase of 0.35 points on the reform-oriented practices
scale, after accounting for the other variables in the model. The proportion of variance accounted
for by the science knowledge scale was .106, indicating that the scale accounted for 10.6% of the
variance in reform-oriented practices after accounting for the other variables in the model.
The unstandardized coefficient for the student diversity scale was 0.14, t[104] = 2.97, p =
.004. The resulting coefficient of 0.14 indicates that each one point increase on the student
diversity scale was associated with an increase of 0.14 points on the reform-oriented practices
scale, after accounting for the other variables in the model. The proportion of variance accounted
for by the student diversity scale was .056, indicating that the scale accounted for 5.6% of the
variance in reform-oriented practices after accounting for the other variables in the model.
Predictors of Science Instruction 19
------------------------------------------------------------------------- Insert Table 4 About Here.
-------------------------------------------------------------------------
Traditional/Conventional Practices
The results of the regression equation predicting traditional/conventional practices from
the teacher and school predictors are presented in Table 5. The model explained a statistically
significant proportion of the variance in traditional/conventional practices, R2 = .27, F [7, 102] =
5.25, p < .001. The predictors combined to account for 27% of the variance in
traditional/conventional practices. The scores obtained from the science knowledge and student
diversity scales were significant predictors.
The unstandardized coefficient for the science knowledge scale was 0.18, t[102] = 2.21, p
= .029. The resulting coefficient of 0.18 indicates that each one point increase on the science
knowledge scale was associated with an increase of 0.18 points on the traditional/conventional
practices scale, after accounting for the other variables in the model. The proportion of variance
accounted for by the science knowledge scale was .035, indicating that the scale accounted for
3.5% of the variance in reform-oriented practices after accounting for the other variables in the
model.
The unstandardized coefficient for the student diversity scale was 0.15, t[102] = 3.24, p =
.002. The resulting coefficient of 0.15 indicates that each one point increase on the student
diversity scale was associated with an increase of 0.15 points on the traditional/conventional
practices scale, after accounting for the other variables in the model. The proportion of variance
accounted for by the student diversity scale was .076, indicating that the scale accounted for
7.6% of the variance in traditional/conventional practices after accounting for the other variables
in the model.
Predictors of Science Instruction 20
------------------------------------------------------------------------- Insert Table 5 About Here.
-------------------------------------------------------------------------
English Language Development Practices
The results of the regression equation predicting English language development practices
from the teacher and school predictors are presented in Table 6. The model explained a
statistically significant proportion of the variance in English language development practices, R2
= .38, F [7, 96] = 8.32, p < .001. The predictors combined to account for 38.0% of the variance
in English language development practices. The scores obtained on the teacher discussion of
student diversity scale, standardized testing barrier scale, and students’ poor academic skills
barrier scale were significant predictors.
The unstandardized coefficient for the scores on the teacher discussion of student
diversity scale was 0.38, t[96] = 6.11, p < .001. The resulting coefficient of 0.38 indicates that
each one point increase on the student diversity scale was associated with an increase of 0.38
points on the English language development practices scale, after accounting for the other
variables in the model. The proportion of variance accounted for by the student diversity scale
was .242, indicating that the scale accounted for 24.2% of the variance in English language
development practices after accounting for the other variables in the model.
The unstandardized coefficient for the scores on the standardized testing barrier scale was
-0.17, t[96] = -2.44, p = .016. The resulting coefficient of -0.17 indicates that each one point
increase on the standardized testing barrier scale was associated with an decrease of 0.17 points
on the English language development practices scale, after accounting for the other variables in
the model. The proportion of variance accounted for by the standardized testing barrier scale was
Predictors of Science Instruction 21
.039, indicating that the scale accounted for 3.9% of the variance in English language
development practices after accounting for the other variables in the model.
The unstandardized coefficient for the scores on the students’ poor academic skills barrier
scale was 0.18, t[96] = 2.27, p = .025. The resulting coefficient of 0.18 indicates that each one
point increase on the students’ poor academic skills scale was associated with an increase of 0.18
points on the English language development practices scale, after accounting for the other
variables in the model. The proportion of variance accounted for by the students’ poor academic
skills scale was .033, indicating that the scale accounted for 3.3% of the variance in English
language development practices after accounting for the other variables in the model.
------------------------------------------------------------------------- Insert Table 6 About Here.
-------------------------------------------------------------------------
Discussion and Implications
Discussion of Results
This study examined influences on science teaching practices with ELL students. First,
we examined the variance at the teacher and school level. There were no significant differences
between schools on the three dependent variables being examined; therefore regression analyses
were used, which examined differences only between teachers. The lack of variation between
schools suggests that teaching practices in the three areas differed more within schools than
across schools. This may be a result of the schools having been selected based on the same
criteria (similar proportions of ELL students and students receiving free or reduced lunch and
similar school grades), which might, in turn, lead to similar decision making regarding science
teaching practices.
Predictors of Science Instruction 22
The significant predictors of reform-oriented practices to promote scientific
understanding and inquiry with ELL students were teachers’ perceived knowledge of science and
teacher discussion of student diversity, with the teachers’ perceived knowledge of science scale
explaining the most variance. As these two variables increased, the use of reform-oriented
practices increased. The finding that an increase in teachers’ perceived science knowledge is
related to an increase in reform-oriented practices is consistent with the literature indicating that
teachers with more subject matter expertise are more likely to use inquiry-based strategies
(Carlsen, 1991; Tobin & Fraser, 1990). The finding that an increase in teacher discussion of
student diversity is related to an increase in reform-oriented practices is also consistent with
much of the literature on diverse student groups in the science classroom. This research points to
the role of reform-oriented inquiry practices in enhancing the science learning of all students,
especially those who have traditionally been underserved when it comes to high-quality science
learning opportunities, namely students of color, students of poverty, and ELL students. As
teachers engage more in discussions about the learning needs of all their students, they begin to
shift more to reform-oriented practices (Barton, Drake, Perez, St. Louis, & George, 2004;
Warren, Ballenger, Ogonowski, Rosebery & Hudicourt-Barnes, 2001).
The significant predictors of traditional/conventional practices with ELL students were
teachers’ perceived knowledge of science and teacher discussion of student diversity, with the
teacher discussion of student diversity scale explaining the most variance. As these two variables
increased, the use of traditional/conventional practices increased. While teacher discussion of
student diversity had nearly the same effect on the traditional/conventional practices scale (b =
0.15) as the reform-oriented practices scale (b = 0.14), teachers’ perceived knowledge of science
had a much smaller effect on traditional/conventional practices (b = 0.18) than reform-oriented
Predictors of Science Instruction 23
practices (b = 0.35). This suggests that teachers’ perceived knowledge has a stronger effect on
reform-oriented practices than traditional/conventional practices.
The finding that teacher knowledge was a significant predictor of both reform-oriented
and traditional/conventional practices may be a result of teachers blending these teaching
practices. Studies have shown that even after participating in professional development in
science, teachers often blended reform-oriented practices with traditional/conventional practices
(Cohen & Hill, 2000; Knapp, 1997). The finding that teacher discussion of student diversity was
a significant predictor of both reform-based and traditional/conventional practices is also
consistent with some aspects of research on culturally and linguistically diverse students. As
teachers spend more time discussing the learning needs of students of color, students of poverty,
and ELL students, they may come to focus on the need to be explicit about scientific norms and
practices in relation to these students’ cultural norms and practices. Research points to the initial
value of explicit instruction as teachers gradually transition to more reform-oriented practices
(Aikenhead, 2001; Delpit, 1998).
The third dependent variable examined was English language development practices in
teaching science. There were three significant predictors of English language development
practices. The first significant predictor was teacher discussion of student diversity; this variable
explained much of the variance in English language development practices. Teachers who
engaged in discussion about the inclusion of diverse student groups in their science teaching
tended to use English language development practices more often while teaching science to ELL
students. This suggests that teachers who more proactively considered issues of diversity were
also more actively engaged in classroom strategies to address the needs of their diverse students.
The second significant predictor variable was students’ poor academic skills. Teachers who
Predictors of Science Instruction 24
reported poor academic skills as a barrier to teaching science were more likely to use English
language development practices while teaching science to ELL students. It could be the case that
teachers believed an explicit emphasis on English language development with students who had
limited basic skills in literacy (reading and writing) and numeracy (mathematics) was a
necessary precursor to effective science teaching. Finally, standardized testing was negatively
related to English language development practices. Teachers who reported standardized testing
as a barrier to teaching science were less likely to use English language development practices
while teaching science to ELL students. These teachers might have become overly concerned
with teaching to the test to such a degree that they failed to focus on other critical pedagogical
goals, including the need to develop their students’ English language proficiency.
Implications for Future Research
There are some limitations of which we are aware. The teacher sample was not chosen
through random selection, as the schools were included because they met our criteria for the
larger research. As a result, there is a limit to the generalizability of the results.
In addition, all of the data were self-reports. Survey responses may not accurately depict
teachers’ practices since self-reports are subject to a social desirability response tendency. Prior
to administering the survey, we ensured teachers that their responses were confidential and
would not be shared with district or school administration. We also addressed questions or
hesitations that the teachers expressed. While a small number of studies examining teacher-level
and school-level predictors of science teaching practices also used teacher surveys (Banilower et
al., 2007; Supovitz et al., 2000; Supovitz & Turner, 2000), future research that replicates our
findings with more objective measures would increase confidence in the results of this study.
Predictors of Science Instruction 25
Finally, measures were derived from a new instrument for which additional validity
evidence (e.g., structural validity) would be useful. Future research that provides such evidence
would add to the content validity and external validity provided for measures derived from the
instrument in this study.
Despite the limitations of this study, the study offers important insights on science
teaching practices with ELL students. Our research has developed a survey instrument using
scales which is different from many existing survey instruments that consist of individual items.
This study examined the relationships among these scales and was conducted prior to
implementation of the intervention with the teachers. Thus it provides a baseline for our
longitudinal research and also a description of how science is being taught to ELL students in
urban elementary schools without an intervention in place. In contrast, most studies looking at
the relationships among these variables examined the effects of an intervention without
examining what was taking place in classrooms prior to the intervention (e.g., Banilower et al.,
2007; Supovitz et al., 2000; Supovitz & Turner, 2000).
In the longitudinal research design, future research may examine the impact of our
professional development intervention on changes (or lack thereof) in teachers and schools. The
relationships among the variables may change throughout the intervention. In addition, future
research will explore whether there continues to be such little variation between schools on the
dependent variables. If there is significant variation between schools in future years, we will
examine what factors may contribute to these between-school differences since the intervention
is both multi-faceted and school-wide, and different schools may respond differently to the
various components of the intervention.
Predictors of Science Instruction 26
Most studies focus on science instruction with students broadly, whereas our study
focuses on science instruction with a specific student population. ELL students in urban
elementary schools have traditionally been left behind in science instruction; however, with the
enactment of high-stakes testing and accountability in science due to the NCLB Act, this student
population has increasingly become a focus of attention by teachers, administrators, and policy
makers. Our ongoing intervention and longitudinal research will lead to better understanding
about teachers’ knowledge and practices to promote science and English literacy achievement of
all students, including ELL students.
Predictors of Science Instruction 27
References
Abd-El-Khalick, F., Bell, R. L., & Lederman, N. G. (1998). The nature of science and
instructional practice: Making the unnatural natural. Science Education, 82(4), 417-436.
Adams, P. E. & Krockover, G.H. (1997).Concerns and perceptions of beginning secondary
science and mathematics teachers. Science Education, 81(1), 29-50.
Aikenhead, G. (2001). Cultural relevance: Whose culture? What culture? In J. Wallace & W.
Louden (Eds.), Dilemmas of science teaching (pp. 92-95). New York: Routledge Falmer.
Amaral, O. M., Garrison, L., & Klentschy, M. (2002). Helping English learners increase
achievement through inquiry-based science instruction. Bilingual Research Journal,
26(2), 213-239.
American Association for the Advancement of Science. (1989). Science for all Americans. New
York: Oxford University Press.
Author. (1995).
Author. (2003).
Author. (2004).
Ball, D. L., & McDiarmid,G. W. (1990). The subject matter preparation of teachers. In W. R.
Houston (Ed.) Handbook of research on teacher education (pp. 437 - 449). NewYork:
Macmillan.
Banilower, E. R., Heck, D. J., & Weiss, I. R. (2007). Can professional development make the
vision of the standards a reality? The impact of the National Science Foundation’s local
systematic change through teacher enhancement initiative. Journal of Research in
Science Teaching, 44(3), 375-395.
Predictors of Science Instruction 28
Barton, A. C., Drake, C., Perez, J., St. Louis, K., & George, M. (2004). Ecologies of parental
engagement in urban education. Educational Researcher, 33(4), 3-12.
Bryan, L. A., & Atwater, M. M. (2002). Teacher beliefs and cultural models: A challenge for
science teacher preparation programs. Science Education, 86(6), 821-839.
Buxton, C. (1998). Improving science education of English language learners: Capitalizing on
educational reform. Journal of Women and Minorities in Science and Engineering, 4(4),
341-369.
Carlsen, W. S. (1991). Subject-matter knowledge and science teaching: A pragmatic perspective.
In J. Brophy (Ed.), Advances in research on teaching. Vol. 2: Teachers’ knowledge of
subject matter as it relates to their teaching practice (pp. 115-143). Greenwich, CT: JAI
Press.
Cohen, J. (1988). Statistical power for the behavioral sciences (2nd ed.). New Jersey: Lawrence
Erlbaum Associates.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied Multiple Regression /
Correlation Analysis for the Behavioral Sciences. Mahwah, NJ: Lawrence Erlbaum.
Cohen, D. K., & Hill, H. C. (2000). Instructional policy and classroom performance: The
mathematics reform in California. Teachers College Record, 102(2), 294-343.
Delpit, L. (1988). The silenced dialogue: Power and pedagogy in educating other people’s
children. Harvard Educational Review, 58, 280-298.
Donovan, M. P. (1997). The vocabulary of biology and the problem of semantics. Journal of
College Science Teaching, 26(6), 381-382.
Fathman, A. K., & Crowther, D. T. (Eds.). (2006). Science for English language learners: K-12
classroom strategies. Arlington, VA: National Science Teachers Association.
Predictors of Science Instruction 29
Fradd, S. H., & Lee, O. (1995). Science for all: A promise or a pipe dream for bilingual students?
Bilingual Research Journal, 19, 261-278.
Gamoran, A., Anderson, C. W., Quiroz, P. A., Secada, W. G., Williams, T., & Ashmann, S.
(2003). Transforming teaching in math and science: How schools and districts can
support change. New York: Teachers College Press.
Gamoran, A., Secada, W. G., & Marrett, C. B. (2000). The organizational context of teaching
and learning: Changing theoretical perspectives. In M. T. Hallinan (Ed.), Handbook of
research in the sociology of education (pp. 37-63). New York: Kluwer
Academic/Plenum.
García, E. E., & Lee, O. (2008). Science instruction for all: Creating a responsive learning
community. In A. S. Rosebery & B. Warren (Eds.), Teaching science to English
language learners: Building on students’ strengths (pp. 151-161). Arlington, VA:
National Science Teachers Association.
Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001). What makes
professional development effective? Results from a national sample of teachers.
American Educational Research Journal, 38(4), 915-945.
Hewson, P. W., Kahle, J. B., Scantlebury, K., & Davies, D. (2001). Equitable science education
in urban middle schools: Do reform efforts make a difference? Journal of Research in
Science Teaching, 38(10), 1130-1144.
Kennedy, M. M. (1998). Education reform and subject matter knowledge. Journal of Research
and Science Teaching, 35(3), 249-263.
Predictors of Science Instruction 30
Knapp, M. S. (1997). Between systemic reforms and the mathematics and science classroom:
The dynamics of innovation, implementation, and professional learning. Review of
Educational Research, 67, 227-266.
Knapp, M. S., & Plecki, M. L. (2001). Investing in the renewal of urban science teaching.
Journal of Research in Science Teaching, 38(10), 1089-1100.
Lee, O., Deaktor, R. A., Hart, J. E., Cuevas, P., & Enders, C. (2005). An instructional
intervention’s impact on the science and literacy achievement of culturally and
linguistically diverse elementary students. Journal of Research in Science Teaching,
42(8), 857-887.
Lee, O. (2002). Science inquiry for elementary students from diverse backgrounds. In W. G.
Secada (Ed.), Review of research in education, Vol. 26 (pp. 23-69). Washington, DC:
American Educational Research Association.
Lee, O., & Fradd, S. H. (1998). Science for all, including students from non-English language
backgrounds. Educational Researcher, 27(3), 12-21.
Lonergan, T. A. (2000). The photosynthetic dark reactions do not operate in the dark. American
Biology Teacher, 62(3), 166-67,169-70.
Loucks-Horsley, S., Hewson, P. W., Love, N., & Stiles, K. E. (1998). Designing professional
development for teachers of science and mathematics. Thousand Oaks, CA: Corwin
Press.
Minicucci, C. (1996). Learning science and English: How school reform advances scientific
learning for limited English proficient middle school students. Santa Cruz, CA: National
Center for Research on Cultural Diversity and Second Language Learning, CREDE.
Predictors of Science Instruction 31
Monk, D. H. (1994). Subject area preparation of secondary mathematics and science teachers
and student achievement. Economics of Education Review, 13(2), 125-145.
National Research Council. (1996). National science education standards. Washington, DC:
National Academy Press.
National Research Council. (2000). Inquiry and the national science education standards: A
guide for teaching and learning. Washington, DC: National Academy Press.
No Child Left Behind Act of 2001. Public Law No. 107-110, 115 Stat. 1425. (2002).
Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data
analysis methods (2nd ed.). Thousand Oaks, CA: Sage.
Rodriguez, A. (1998). Strategies for counterresistance: Toward sociotransformative
constructivism and learning to teach science for diversity and understanding. Journal of
Research in Science Teaching, 35, 589-622.
Rodriguez, A., & Kitchen, R. S. (Eds.). (2005). Preparing prospective mathematics and science
teachers to teach for diversity: Promising strategies for transformative action. Mahwah,
NJ: Erlbaum.
Rosebery, A. S., Warren, B., & Conant, F. R. (1992). Appropriating scientific discourse:
Findings from language minority classrooms. The Journal of the Learning Sciences, 21,
61-94.
Settlage, J., & Meadows, L. (2002). Standards-based reform and its unintended consequences:
Implications for science education within America’s urban schools. Journal of Research
in Science Teaching, 39(2), 114-127.
Shulman, L. (2004). Fostering communities of teachers as learners: disciplinary perspectives.
Journal of Curriculum Studies, 36(2) 135-140.
Predictors of Science Instruction 32
Smith, D. C., & Neale, D, C. (1989). The construction of subject matter knowledge in primary
science teaching. Teaching and Teacher Education, 5(2), 1-20.
Spillane, J. P., Diamond, J. B., Walker, L. J., Halverson, R., & Jita, L. (2001). Urban school
leadership for elementary science instruction: Identifying and activating resources in an
undervalued school subject. Journal of Research in Science Teaching, 38(8), 918-940.
Supovitz, J. A., Mayer, D. P., & Kahle, J. B. (2000). Promoting inquiry-based instructional
practice: The longitudinal impact of professional development in the context of
systematic reform. Educational Policy, 14(3), 331-356.
Supovitz, J. A., & Turner, H. M. (2000). The effects of professional development on science
teaching practices and classroom culture. Journal of Research in science teaching, 37(9),
963-980.
Thompson, B. (2004). Exploratory and confirmatory factor analysis. Washington DC: American
Psychological Association.Tobin, K., & Fraser, B. (1990). What does it mean to be an
exemplary science teacher? Journal of Research in Science Teaching, 27(1), 3-25.
Warren, B., Ballenger, C., Ogonowski, M., Rosebery, A., & Hudicourt-Barnes, J. (2001). Re-
thinking diversity in learning science: The logic of everyday language. Journal of
Research in Science Teaching, 38(5), 529-552.
Wideen, M. F., O’Shea, T., Pye, I., & Ivany, G. (1997). High-stakes testing and the teaching of
science. Canadian Journal of Education, 22(4), 428-444.
Wong-Fillmore, L., & Snow, C. (2002). What teachers need to know about language.
Washington DC: Center for Applied Linguistics.
Recommended