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Educator Perceptions of Instructional Strategies for
Standards-based Education of English Language Learners with Disabilities
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Reading |
Math |
Science |
|
Use of organizational pre-assessment strategy (e.g., KWL). |
Curriculum Based Probe |
Curriculum Based Probe |
|
Graphic organizers |
Reciprocal peer tutoring |
Graphic organizers |
|
Cooperative Learning |
Graphic Organizers |
Peer tutoring |
|
Direct teaching of vocabulary |
Explicit timing |
Short segment to teach vocabulary |
|
Specific informal assessments |
Teacher think-alouds |
Using response cards during instruction |
Strategy Definitions
In addition to the initial core list of strategies, teachers were presented with the following definition of a teaching strategy to help them in their selection and contribution of strategies to the initial lists:
The teaching strategy is a purposeful activity to engage learners in acquiring new behaviors or knowledge. To be useful for our purposes, an instructional strategy should have clearly defined steps or a clear description of what the teacher does.
An initial glossary that included
descriptions of the selected core strategies was provided to participants during
the MACB process.
MACB Process
During the MACB process, after discussing practice weighting examples (see Appendix B) participants were asked to weight the importance of the three content areas: Reading, Math, and Science. Then teachers contributed strategies to the initial lists for each of the three content areas. As this occurred, notes about these new strategies were taken for potential inclusion in a final glossary. Participants’ comments during this process were recorded on a paper easel, or noted by individuals on study notepads provided in their folders for our information later. Following the generation of additional strategies, participants were asked to weight all of the strategies, both core and generated, for each content area.
Participants were given time to weight specific strategies, with the help of the glossary to define the strategies, and then they were asked to voice their numerical weighting of each strategy, in turn, for data entry. After data entry, these weightings were projected onto a screen with the overall average for the group calculated at the end of each strategy row. These weighting results then provided the focus of a discussion guided by a facilitator, on why very high or very low weights were given to a specific strategy. Those participants giving the high or low weights were asked to describe why they gave the weight they did. All sessions were taped and analyzed to provide further insight into the rationale of why participants weighted specific strategies. Participants were allowed to change their individual weightings after discussion, although both pre- and post-discussion weightings were saved as separate documents on the computer.
Figure 1 shows the scale that was used by teachers in weighting strategies and the specific instructions they were given. For the weighting, participants were instructed that they had to weight at least one strategy as 100, but could also weight more than one as 100.
Figure 1. Weighting Scale
Shown on a continuum, the weighting scale looks like this:
|
Very Unimportant |
Unimportant |
Neither Important Nor Unimportant |
Important |
Very Important |
0 20 40 60 80 100
Feasibility and Use Surveys
After the MACB process of weighting and discussing strategies, participants were asked to complete an additional survey. It asked participants to weight the feasibility of the strategies and asked them to rate how often they used each of them.
In Stage II, the focus shifted away from
instrument development to collection of data for the final study. This section
describes the participants in Stage II, including their professional background,
types of students served, reported teaching approaches, and languages of
students served. This is followed by a brief note concerning final data
collection activities.
Invited Participants
The regional representation of districts and schools in the study was predominantly suburban. Two urban districts participated with a total of 3 schools (14 educators), and 5 suburban districts participated with 5 schools (28 educators). This second stage lacked the additional perspective of participants from "greater Minnesota" areas.
Staff used the same criteria for inviting
participants to participate in Stage II as in Stage I. Information about these
teachers’ professional experience, includes data on teacher type, subjects
taught, years of experience, types of students served, teaching approaches, and
the language groups of students served are provided in the following tables.
Professional Experience
Of the 42 teachers using the final list, 40.5% (N=17) were ESL/bilingual teachers, 23.8% (N=10) were Special Education teachers, and 35.7% (N=15) were from other educational areas (see Figure 2).

Grade and Teacher Type
Table 2 presents information provided by the
educators about what subject areas they taught. Combining the numbers of
educators that reported teaching one or multiple subjects, about half of the
total (22) taught reading, 9 taught mathematics, and 5 taught science. Five
educators had marked other content areas that they currently taught, and six did
not provide information for the question.
Table 2. Subject Areas Taught
Teacher Subject Area |
No. |
% |
|
Reading |
17 |
40.5 |
|
Mathematics |
4 |
9.5 |
|
Science |
3 |
7.1 |
|
Mathematics and Reading |
5 |
11.9 |
|
Science and Reading |
2 |
4.8 |
|
Other (History, Graphic Arts, etc.) |
5 |
11.9 |
|
No response |
6 |
14.3 |
|
Total |
42 |
100.0 |
Figure 3 shows a graph of these teachers’ years of professional experience. Of
the 42 teachers, 50% had over 10 years of professional experience, 29% had 5-10
years of experience, and 19% had 1-5 years experience. Only 2.4% of the
participants had a year or less of teaching experience.

Another characteristic that was recorded by the study demographic survey was the types of students that the educators served. The majority of educators reported working with English language learners with disabilities (N=32). The second largest group served was English language learners (N=30), followed by general education students (N=25) and students with disabilities (N=25) in equal numbers (see Figure 4).

Participants were asked to answer several questions on teaching practices. Their responses are shown in Figure 5. Almost three-fourths of the participants (73.8%) reported that they taught alone. Only one quarter (27.5%) of the participants reported that they taught in teams. About 40% of all teachers (37.5%) stated that they taught extended content standards (e.g., breaking down a standard into smaller pieces or adapting it downward so that students with more severe learning issues can be working on them) for students with IEPs, and 42.5% of teachers said that they did not incorporate this practice. Half of the participants taught skills directly related to the completion of high standards in content being implemented in another teacher’s class. The question of teaching language found in a specific high standard being implemented in another teacher’s class was answered thus: 41.5% of the total practiced this approach and 51.2% did not practice it. Nearly 30% (29.3%) of all participants acted as a resource for general education teachers who were implementing high standards-based work that includes English language learners; 41.5% of teachers acted as a resource for general education teachers who were implementing high standards-based work that includes students with disabilities.
Figure 5
Teaching Approaches

A
– Teaching alone
B
– Team teaching
C
– Teaching extended content standards for IEP students
D
– Teaching skills in another teacher’s class
E
– Teaching language in another teacher’s class
F
– Resource for teachers who teach ESL students
G
– Resource for teachers who teach IEP
students
Figure 6 shows the number of educators who reported working with students in each language group. The “Other” category included less frequent languages reported by educators. Among these were Vietnamese, Russian, Ethiopian, and Sudanese.

Data Collection Activities
In Stage II, activities shifted away from instrument development towards final data collection. The results of the Stage I instrument development process produced a final study instrument with a list of 28 reading strategies, 20 mathematics strategies, and 23 science strategies. These strategies, used with Stage II teachers, are listed in Appendix B.
In this second stage, 42 educators followed the same MACB process of weighting and discussing strategies and filling out the feasibility and use surveys as in Stage I, except that these educators were working with the final strategy list. No additional strategies were generated in Stage II. If educators had comments about strategies not listed, they were invited to note these on the paper provided in the study packets.
The results reported in this section are only from data gathered during Stage II. Results of weightings are reported in the order in which educators encountered the questions during the MACB sessions, starting with weighting the importance of the content areas, then strategies under each content area, use and feasibility of each strategy, strategy weightings by teacher type, and finally a section on educators’ rationales for how they weighted strategies during the sessions.
The study results indicated that the content areas of reading and mathematics were weighted as “very important.” The Reading content area was consistently weighted the most important by educators with an average of 100 (SD = .00). The mathematics weighting was slightly lower – 90.7 (SD = 8.06), and the Science weighting was the lowest – 78.8 (SD = 11.21), which is positioned in the “important” area on the weighting scale.
Although the goal during Stage I was to generate strategies, there often seemed to be disagreement over what constituted a strategy. This occurred even though the teachers were presented with a definition for use as described in the Methods section. As a result, the generated "strategies" that later became part of the instrument did not always meet the specifics of the "strategies" definition. This occurred despite repetition of the definition during MACB sessions and reminders to check that the recommended strategy was actually a strategy according to the definition. See the final glossary of strategy definitions in Appendix C.
The weighting results for the top five
strategies for each content area are presented first, with a further breakdown
of specifics by content area. As shown in Table 3, the reading strategies
include direct teaching of vocabulary, teaching strategies, fluency building,
chunking and questioning, and relating reading to student experience. For math
the top five includes tactile concrete experiences, daily re-looping of
material, problem solving instruction and task analysis strategies, and teacher
and student "think alouds." Science has similar strategy foci in using visuals,
pre-reading strategies, teacher modeling, and letting students experience active
"hands-on" participation in class.
|
Content Area |
Strategy |
|
Reading |
Teaching pre-, during-, and post-reading strategies |
|
Fluency building (high frequency words) |
|
|
Direct teaching vocabulary through listening, seeing, reading, and writing in short time segments |
|
|
Relating reading to student experiences |
|
|
Chunking and questioning aloud (reading mastery) |
|
|
Mathematics |
Tactile, concrete experiences of mathematics |
|
Daily re-looping of previously learned material |
|
|
Problem solving instruction and task analysis strategies |
|
|
Teacher “think-alouds” |
|
|
Student “think-alouds” |
|
|
Science |
Hands-on, active participation |
|
Using visuals |
|
Using pictures to demonstrate steps
|
|
|
Using pre-reading strategies in content areas |
|
Modeling/teacher demonstration
|
Twenty-eight reading strategies, as perceived by teachers, ultimately were weighted by study participants. Of those 28, the following were considered most important: direct teaching of vocabulary through listening, seeing, reading, and writing in short time segments; teaching pre-, during, and post-reading strategies; fluency building (high frequency words); chunking and questioning aloud (reading mastery); and relating reading to student experiences (see Table 4). Appendix D presents the entire list of strategies for reading as well as their minimum and maximum weightings, their average weightings, and the standard deviation for each strategy.
Table 4. Top Five Reading Strategies
|
Content Area |
Average Weighting |
Standard Deviation |
Strategy |
|
Reading |
93.88 |
8.42 |
Teaching pre-, during, and post-reading strategies |
|
90.83 |
9.56 |
Fluency building (high frequency words) |
|
|
90.48 |
10.23 |
Direct teaching vocabulary through listening, seeing, reading, and writing in short time segments |
|
|
87.67 |
14.64 |
Chunking and questioning aloud (reading mastery) |
|
|
88.05 |
10.96 |
Relating reading to student experiences |
Of the 20 “strategies” weighted for
mathematics, the top five are listed in Table 5. These strategies include the
following: tactile, concrete experiences of mathematics; daily re-looping of
previously learned material; problem solving instruction and task analysis
strategies; teacher “think-alouds”; and student “think-alouds.” Appendix D
presents the complete list of strategies for mathematics as well as minimum and
maximum weightings, their average weightings, and the standard deviation for
each strategy.
Table 5. Top Five Mathematics Strategies
|
Content Area |
Average Weighting |
Standard Deviation |
Strategy |
|
Mathematics |
93.85 |
10.64 |
Tactile, concrete experiences of mathematics |
|
92.93 |
11.45 |
Daily re-looping of previously learned material |
|
|
92.90 |
10.47 |
Problem solving instruction and task analysis strategies |
|
|
87.44 |
16.51 |
Teacher “think-alouds” |
|
|
86.63 |
14.02 |
Student “think-alouds” |
Twenty-three “strategies” were weighted for science. In Table 6, the top weighted strategies in the area of science were: hands-on, active participation; using visuals; using pictures to demonstrate steps; using pre-reading strategies in content areas; and modeling/teacher demonstration. Appendix D presents the total list of strategies for science as well as minimum and maximum weightings, their average weightings, and the standard deviation for each strategy.
Table 6. Top Five Science Strategies
|
Content Area |
Average Weighting |
Standard Deviation |
Strategy |
|
Science |
99.48 |
2.05 |
Hands-on, active participation |
|
97.93 |
4.53 |
Using visuals |
|
97.59
|
4.14
|
Using pictures to demonstrate steps
|
|
93.89
|
8.45
|
Modeling/teacher demonstration
|
|
|
93.10 |
7.12 |
Using pre-reading strategies in content areas |
In addition to analyzing the strategies given the highest weights by participants, we also examined how strategies that were identified in the research literature had been weighted. We had selected four to five core instructional strategies from the literature for each content area at the beginning of Stage I. When the weightings for these strategies were compared to those weighted the most important by teachers, there was very little overlap between them (e.g., think-alouds) (see Table 7). For reading, only direct teaching of vocabulary was in both the initial core strategy list and the top five strategies as weighted by teachers. For math, teacher think-alouds were on both lists. Science had no common strategies across the two lists. Even so, many of these strategies were still rated as “important” and “very important” according to the weighting scale.
|
Content Area |
Mean |
SD |
Initial Core Strategies |
Mean |
SD |
Top Five by Teachers |
|
Reading
|
90.48 |
10.23 |
Direct teaching of vocabulary |
93.88 |
8.42 |
Pre, during, and post reading strategies |
83.12 |
13.44 |
Graphic organizers |
90.83 |
9.56 |
Fluency building |
|
79.48 |
16.62 |
KWL chart |
90.48 |
10.23 |
Direct teaching of vocabulary |
|
71.67 |
24.41 |
Cooperative Learning |
87.67 |
14.64 |
Chunking and questioning aloud |
|
65.71 |
27.62 |
Curriculum Based Probe |
88.05 |
10.96 |
Relating reading to student experiences |
|
|
Mathematics
|
87.44 |
16.51 |
Teacher Think-alouds |
93.85 |
10.64 |
Tactile, concrete experiences |
82.68 |
15.54 |
Graphic organizer |
92.93 |
11.45 |
Daily re-looping |
|
74.56 |
13.53 |
Reciprocal peer tutoring |
92.90 |
10.47 |
Problem solving instruction and task analysis strategies |
|
71.58 |
26.30 |
Curriculum Based Probe |
87.44 |
16.51 |
Teacher “think-alouds” |
|
60.63 |
20.56 |
Explicit timing |
86.63 |
14.02 |
Student “think-alouds” |
|
|
Science
|
89.65 |
11.33 |
Graphic Organizers |
99.48 |
2.05 |
Hands-on, active participation |
88.31 |
12.26 |
Short segment to teach vocabulary |
97.93 |
4.53 |
Using visuals |
|
80.34 |
16.31 |
Peer tutoring |
97.59
|
4.14
|
Using pictures to demonstrate steps
|
|
72.14 |
16.58 |
Using response cards during instruction |
93.89
|
8.45
|
Modeling/teacher demonstration
|
|
63.55 |
30.12 |
Curriculum Based Probe |
93.10 |
7.12 |
Using pre-reading strategies |
Among the strategies in the initial core
(Table 7), Curriculum Based Probe had the highest standard deviation across all
content areas, ranging from 26.30 to 30.12. In Figure 7, the weighting means for
this strategy are presented by three teacher types: ESL/Bilingual, Special
Education, and Other. It shows a gap between ESL/Bilingual teachers and Special
Education teachers for reading and mathematics, with a less obvious difference
for the science content area. The teachers’ weightings for science therefore had
more variation (30.12 in table 7), but did not display the same tendencies
towards gaps in overall means by teacher type.
