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Can Teachers Teach Talented
Readers?
Signature Series
Addressing the Needs of Today’s Gifted
Learners: Putting Research into Practice
Dr. Liz Fogarty
foga0017@umn.edu
Talented readers receive
little challenging instruction,
instead doing work that is
simple and redundant for
them.
(Archambault et al., 1993; Reis et al., 2004; Reis, Westberg, Kulikowich,
& Purcell, 1998; Westberg, Archambault, Dobyns, & Salvin, 1993;
Westberg et al., 1998)
Integral Aspects of Reading
Instruction for Talented Readers
 Use of higher-level questioning techniques
 Self-selected reading
 Independent research projects
 Development of research skills
(Dole & Adams, 1983; Reis & Renzulli, 1989; Renzulli, 1977)
Reading Comprehension
Strategies
Lower Level Higher Level
Decoding/Phonics Synthesizing
Slowing down/Rereading Making Inferences
Using pictures Making Connections
Knowledge Determining Importance
Other Visualizing
Questioning
Metacognition
Keene & Zimmerman, 1997; Harvey & Goudvis, 2000
Sample
 10 treatment teachers
 5 elementary
 5 middle school
 6 control teachers
 3 elementary
 3 control
 100% Caucasion
 87% Female
 83% M.A. or Specialist Degrees
Instrumentation
 ITBS - Iowa Test of Basic Skills
 CBM - Oral Reading Fluency Indicators
 Teaching Reading: Attitudes and Practices
 Reading Classroom Practices Record
 SEM-R Treatment Fidelity Scale
Methodology
1. Developed manual & trained co-researchers
to use RCPR.
2. Analyzed ITBS & CBM fluency data to find
H, A, & L students. Randomly chose one
from each level for each teacher.
3. Conducted 80 observations, 5 of each
teacher – used 20% for interrater reliability.
4. Analyzed data using the constant
comparative method, inferential statistics.
Determining Achievement
Level
Reading
Achievement
Level
ITBS National
Percentile
Norms
CBM National
Percentile Norms
High Achiever (H) 90-99 90-99
Average Achiever
(A)
40-60 40-60
Low Achiever (L) 1-30 1-25
Table 3.6
Interrater Reliability
Questions
Asked
Strategy
Instruction
Strategy
Codes
Pre-
discussion
Strategy
Codes
Post-
discussion
Whole Group
Total (N=16) .64 .86 .87 .97
SEM-R
Classes (N=9)
.59 .91 .95 1.0
Control
Classes (N=6)
.70 .79 .74 .92
Conferences
Total .84 .72 .81 .93
High .84 .67 .80 .93
Average .81 .67 .84 .96
Low .85 .83 .79 .91
Table 3.9
Research Question #1
Do types of reading strategy instruction
differ in treatment and control
classrooms?
Analysis
Constant comparative method
Descriptive Statistics
Independent samples t-test
Results for RQ 1: Methods
 Control classrooms frequently used:
Round Robin reading, test preparation,
guided reading, worksheets, and novels.
 SEM-R classrooms used: read-alouds,
supported independent reading, and
conferences.
Constant Comparative Method
Results for RQ1: Higher Level
Questions Used in Whole Group
Instruction
Treatment Classes 68%
Control Classes 54%
Descriptive Statistics
Results for RQ1: Higher Level Questions
Used in Whole Group Instruction
There was a statistically significant
difference in the proportion of higher order
strategy questions used between treatment
and control classrooms at [Z = 2.882, p<.01]
within the elementary sample. The
difference in the proportion of higher level
strategy questions used at the middle
school level was not significantly different [Z
= -1.589, ns] in the two conditions.
Proportion Comparison
Results for RQ 1: Minutes Read
Control Classrooms (M = 10.80, SD = 3.82)
Treatment Classrooms (M = 35.68, SD = 5.94)
These differences were significant (t =
-9.604, p = .01) indicating that students in
the treatment classrooms spent about 3
times as many minutes reading than
students in control classrooms.
Inferential: t-test
TreatmentControl
Experimental Condition
40
30
20
10
MeanNumberofMinutesReadperClass
95% Confidence Intervals of Minutes Read
M = 35.68
minutes
M = 10.80
minutes
Research Question #2a
Is there a difference between reading
comprehension strategy questions used
with students of high, average, and low
reading achievement levels?
Analysis
Constant comparative method
Repeated-measures Anova
Results for RQ2a: Differentiation
in Control Classrooms
 Grouping was used occasionally
 Curricular modification (assignment,
materials, etc.) was made once
 Questioning was the same for all at the
middle school, varied in two elementary
classrooms
Constant Comparative Method: Open & Axial Coding
Lower Level
Questions
Higher Level
Questions
Achievement N M SD M SD
High 10 10.24 8.33 27.30 10.56
Average 9 10.86 4.98 27.64 9.39
Low 9 13.89 8.65 30.04 15.74
Total 28 11.66 7.32 28.33 11.90
Strategy Questions in SEM-R
Classrooms
Table 4.6 Inferential: Repeated-measures Anova
LowAverageHigh
Achievement Level
35
30
25
20
15
10
EstimatedMarginalMeans
Higher Level Strategies
Lower Level Strategies
Results for RQ2a: Questioning Patterns in
Conferences
Wilks’s Λ = .36, F (1, 25) = 44.50, p <.005.
Cohen’s d = .86 (large effect size)
These results indicate that the mean for teachers’
use of higher level questions was significantly higher
than the mean for teachers’ use of lower level
thinking questions across all achievement levels in
SEM-R classrooms. The absence of an achievement
by strategy interaction shows that strategy patterns
were consistent across all three achievement levels.
Inferential: Repeated-measures Anova
Results for RQ 2a:
Differentiation in SEM-R
Classrooms
Though there is certainly differentiation
going on in SEM-R classrooms due to
the fact that no two reading conferences
were the same, the differentiation is not
necessarily providing more challenging
instruction to talented readers than that
which is provided to all readers.
Research Question #2b
Is there a difference between reading
comprehension strategy instruction used
with students of high, average, and low
reading achievement levels?
Descriptive Statistics
One-way Anova
Chi-Square Goodness of Fit Test
Analysis
Results for RQ2b: Minutes Spent
Conferencing with Students of High,
Average, and Low Reading Achievement
Number of Minutes
Achievement N M SD
High 10 7.41 2.38
Average 9 8.09 2.72
Low 9 7.99 2.10
28 7.83 2.35
Table 4.11 Descriptive Statistics
Results for RQ2b: Length of
Conferences
A one-way ANOVA was conducted and it
was determined that the conferences with
students of high, average, and low reading
ability were not significantly different in
length [F (2,27) = 0.24, p = .79].
M = 7.83 minutes (SD = 2.35) minutes
Inferential: One-way Anova
Results for RQ2b: Prevalence of Lower and
Higher Level Strategy Instruction Observed in
Conferences
Reading Strategy
High Avg. Low χ2 (2)
Lower Level
Strategies
7 6 15 5.24
Higher Level
Strategies
7 12 25 11.77*
* p < .01, Cohen’s d = .86
Table 4.10 Chi-Square Goodness of Fit
Research Question #3
What types of reading comprehension
strategy instruction are embedded into
SEM-R individual reading conferences
for students of differing achievement
levels?
Analysis
Constant comparative method
Results for RQ3: Higher Level Strategies
Used Frequently with Readers of All
Achievement Levels
Treatment
 Making
inferences:
character analysis
 Making
connections: text
to self
connections
 Metacognition:
Control
 Making
Inferences
 Synthesis
 Metacognition
Constant Comparative Method: Open & Axial Coding
Treatment
 Visualizing
 Questioning
Control
 Visualizing
 Questioning
Results for RQ3: Higher Level Strategies
Used Infrequently with Readers of All
Achievement Levels
Constant Comparative Method: Open & Axial Coding
Low/Average
 Metacognition:
monitoring
 Questioning:
primarily used
with low achieving
elementary
readers
Results for RQ3: Higher Level Strategies
Used Frequently with Readers of Certain
Achievement Levels
Talented
 Synthesis: theme
 Metacognition:
challenge
 Making
connections: self
to text
connections
Constant Comparative Method: Open & Axial Coding
Implications
 With proper training, teachers are able to
integrate high levels of questioning in
reading strategy instruction and the SEM-
R should be recognized as a valuable
teaching method in the instruction of
learners of varying ability levels.
 Teachers may need additional training to
adequately challenge talented readers.

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Research on Teacher Practices with Talented Readers

  • 1. Can Teachers Teach Talented Readers? Signature Series Addressing the Needs of Today’s Gifted Learners: Putting Research into Practice Dr. Liz Fogarty foga0017@umn.edu
  • 2. Talented readers receive little challenging instruction, instead doing work that is simple and redundant for them. (Archambault et al., 1993; Reis et al., 2004; Reis, Westberg, Kulikowich, & Purcell, 1998; Westberg, Archambault, Dobyns, & Salvin, 1993; Westberg et al., 1998)
  • 3. Integral Aspects of Reading Instruction for Talented Readers  Use of higher-level questioning techniques  Self-selected reading  Independent research projects  Development of research skills (Dole & Adams, 1983; Reis & Renzulli, 1989; Renzulli, 1977)
  • 4. Reading Comprehension Strategies Lower Level Higher Level Decoding/Phonics Synthesizing Slowing down/Rereading Making Inferences Using pictures Making Connections Knowledge Determining Importance Other Visualizing Questioning Metacognition Keene & Zimmerman, 1997; Harvey & Goudvis, 2000
  • 5. Sample  10 treatment teachers  5 elementary  5 middle school  6 control teachers  3 elementary  3 control  100% Caucasion  87% Female  83% M.A. or Specialist Degrees
  • 6. Instrumentation  ITBS - Iowa Test of Basic Skills  CBM - Oral Reading Fluency Indicators  Teaching Reading: Attitudes and Practices  Reading Classroom Practices Record  SEM-R Treatment Fidelity Scale
  • 7. Methodology 1. Developed manual & trained co-researchers to use RCPR. 2. Analyzed ITBS & CBM fluency data to find H, A, & L students. Randomly chose one from each level for each teacher. 3. Conducted 80 observations, 5 of each teacher – used 20% for interrater reliability. 4. Analyzed data using the constant comparative method, inferential statistics.
  • 8. Determining Achievement Level Reading Achievement Level ITBS National Percentile Norms CBM National Percentile Norms High Achiever (H) 90-99 90-99 Average Achiever (A) 40-60 40-60 Low Achiever (L) 1-30 1-25 Table 3.6
  • 9. Interrater Reliability Questions Asked Strategy Instruction Strategy Codes Pre- discussion Strategy Codes Post- discussion Whole Group Total (N=16) .64 .86 .87 .97 SEM-R Classes (N=9) .59 .91 .95 1.0 Control Classes (N=6) .70 .79 .74 .92 Conferences Total .84 .72 .81 .93 High .84 .67 .80 .93 Average .81 .67 .84 .96 Low .85 .83 .79 .91 Table 3.9
  • 10. Research Question #1 Do types of reading strategy instruction differ in treatment and control classrooms? Analysis Constant comparative method Descriptive Statistics Independent samples t-test
  • 11. Results for RQ 1: Methods  Control classrooms frequently used: Round Robin reading, test preparation, guided reading, worksheets, and novels.  SEM-R classrooms used: read-alouds, supported independent reading, and conferences. Constant Comparative Method
  • 12. Results for RQ1: Higher Level Questions Used in Whole Group Instruction Treatment Classes 68% Control Classes 54% Descriptive Statistics
  • 13. Results for RQ1: Higher Level Questions Used in Whole Group Instruction There was a statistically significant difference in the proportion of higher order strategy questions used between treatment and control classrooms at [Z = 2.882, p<.01] within the elementary sample. The difference in the proportion of higher level strategy questions used at the middle school level was not significantly different [Z = -1.589, ns] in the two conditions. Proportion Comparison
  • 14. Results for RQ 1: Minutes Read Control Classrooms (M = 10.80, SD = 3.82) Treatment Classrooms (M = 35.68, SD = 5.94) These differences were significant (t = -9.604, p = .01) indicating that students in the treatment classrooms spent about 3 times as many minutes reading than students in control classrooms. Inferential: t-test
  • 15. TreatmentControl Experimental Condition 40 30 20 10 MeanNumberofMinutesReadperClass 95% Confidence Intervals of Minutes Read M = 35.68 minutes M = 10.80 minutes
  • 16. Research Question #2a Is there a difference between reading comprehension strategy questions used with students of high, average, and low reading achievement levels? Analysis Constant comparative method Repeated-measures Anova
  • 17. Results for RQ2a: Differentiation in Control Classrooms  Grouping was used occasionally  Curricular modification (assignment, materials, etc.) was made once  Questioning was the same for all at the middle school, varied in two elementary classrooms Constant Comparative Method: Open & Axial Coding
  • 18. Lower Level Questions Higher Level Questions Achievement N M SD M SD High 10 10.24 8.33 27.30 10.56 Average 9 10.86 4.98 27.64 9.39 Low 9 13.89 8.65 30.04 15.74 Total 28 11.66 7.32 28.33 11.90 Strategy Questions in SEM-R Classrooms Table 4.6 Inferential: Repeated-measures Anova
  • 20. Results for RQ2a: Questioning Patterns in Conferences Wilks’s Λ = .36, F (1, 25) = 44.50, p <.005. Cohen’s d = .86 (large effect size) These results indicate that the mean for teachers’ use of higher level questions was significantly higher than the mean for teachers’ use of lower level thinking questions across all achievement levels in SEM-R classrooms. The absence of an achievement by strategy interaction shows that strategy patterns were consistent across all three achievement levels. Inferential: Repeated-measures Anova
  • 21. Results for RQ 2a: Differentiation in SEM-R Classrooms Though there is certainly differentiation going on in SEM-R classrooms due to the fact that no two reading conferences were the same, the differentiation is not necessarily providing more challenging instruction to talented readers than that which is provided to all readers.
  • 22. Research Question #2b Is there a difference between reading comprehension strategy instruction used with students of high, average, and low reading achievement levels? Descriptive Statistics One-way Anova Chi-Square Goodness of Fit Test Analysis
  • 23. Results for RQ2b: Minutes Spent Conferencing with Students of High, Average, and Low Reading Achievement Number of Minutes Achievement N M SD High 10 7.41 2.38 Average 9 8.09 2.72 Low 9 7.99 2.10 28 7.83 2.35 Table 4.11 Descriptive Statistics
  • 24. Results for RQ2b: Length of Conferences A one-way ANOVA was conducted and it was determined that the conferences with students of high, average, and low reading ability were not significantly different in length [F (2,27) = 0.24, p = .79]. M = 7.83 minutes (SD = 2.35) minutes Inferential: One-way Anova
  • 25. Results for RQ2b: Prevalence of Lower and Higher Level Strategy Instruction Observed in Conferences Reading Strategy High Avg. Low χ2 (2) Lower Level Strategies 7 6 15 5.24 Higher Level Strategies 7 12 25 11.77* * p < .01, Cohen’s d = .86 Table 4.10 Chi-Square Goodness of Fit
  • 26. Research Question #3 What types of reading comprehension strategy instruction are embedded into SEM-R individual reading conferences for students of differing achievement levels? Analysis Constant comparative method
  • 27. Results for RQ3: Higher Level Strategies Used Frequently with Readers of All Achievement Levels Treatment  Making inferences: character analysis  Making connections: text to self connections  Metacognition: Control  Making Inferences  Synthesis  Metacognition Constant Comparative Method: Open & Axial Coding
  • 28. Treatment  Visualizing  Questioning Control  Visualizing  Questioning Results for RQ3: Higher Level Strategies Used Infrequently with Readers of All Achievement Levels Constant Comparative Method: Open & Axial Coding
  • 29. Low/Average  Metacognition: monitoring  Questioning: primarily used with low achieving elementary readers Results for RQ3: Higher Level Strategies Used Frequently with Readers of Certain Achievement Levels Talented  Synthesis: theme  Metacognition: challenge  Making connections: self to text connections Constant Comparative Method: Open & Axial Coding
  • 30. Implications  With proper training, teachers are able to integrate high levels of questioning in reading strategy instruction and the SEM- R should be recognized as a valuable teaching method in the instruction of learners of varying ability levels.  Teachers may need additional training to adequately challenge talented readers.