by: kathryn sheriff segers, phd, nbct, ctvi program specialist -accessible instructional materials...
TRANSCRIPT
ASSISTIVE TECHNOLOGY FOR STUDENTS WITH VISUAL IMPAIRMENTS: IN-SERVICE TEACHER TRAINING AND ITS RELATIONSHIP TO STUDENT ACCESS AND USAGE ACROSS ACADEMIC SUBJECT AREAS- A DISSERTATION-CAPELLA UNIVERSITY 2014
By: Kathryn Sheriff Segers, PhD, NBCT, CTVIProgram Specialist -Accessible Instructional Materials (AIMs)Georgia Department of Education
STATEMENT OF THE PROBLEM
It is not fully known the extent to which the level of in-service teacher training in assistive technology for the blind and visually impaired and academic subject area affects the level of student access to and usage of assistive technology. Students who are blind and visually impaired often lack equal access to the same general curriculum as their sighted peers. Access is achieved through the use of assistive technology.
PURPOSE OF THE STUDY
The purpose of this study was to examine the relationship between the level of in-service teacher training in assistive technology for the blind and visually impaired and academic subject area, with student access to and the level of usage of assistive technology in order to access the general education curriculum.
STUDY SUMMARY
Correlational Study
To determine if there was a significant correlation between o teacher in-service training and academic
subject area Student levels of access to assistive
technology for the visually impaired Student levels of usage of assistive
technology for the visually impaired
DATA ANALYSIS
Frequency Data Spearman’s correlation coefficient
DEMOGRAPHIC INFORMATION
Research subjects were all students and teachers at a state school for the Blind in the academic program for students with visual impairments only and students with additional mild to moderate disabilities.
Two surveys were utilized Teacher Survey Student Survey
Teacher DataTable 2
Frequency Counts Teacher Demographics (n=13)
Variable n %
Gender
Male 2 15.4
Female 11 84.6
Ethnicity
White 12 92.3
Black 1 7.7
Education
Bachelor’s 5 38.5
Graduate 8 61.5
TEACHER DATA CONTINUEDVariable n %
Age Group
21-29 1 7.7
30-39 3 23.1
40-49 4 30.7
50-59 3 23.1
60+ 2 15.4
Program
VI only 7 53.8
VI + additional 6 46.2
STUDENT DATATable 3Frequency CountsStudent Demographics n = 45Age Range = 13-21Variable n % Gender Male 18 40 Female27 60Ethnicity
White 21 46.7Black 21 46.7 Native American 1 2.2 Asian 1 2.2 Mixed Race 1 2.2
Student Data Continued
Grade n %Grade 6 4 8.9Grade 7 3 6.7 Grade 8 8 17.8 Grade 9 4 8.9 Grade 10 10 22.2 Grade 11 5 11.1Grade 12 11 24.4
Student Date ContinuedAge n %
Age 13 6 13.3
Age 14 3 6.7
Age 15 7 15.6
Age 16 4 8.9
Age 17 5 11.1
Age 18 6 13.3
Age 19 7 15.6
Age 20 4 8.9
Age 21 3 6.7
Student Data Continued
n %Primary Learning Medium
Regular Print 4 8.9Large Print 15 33.3
Braille 25 55.6 Auditory 1 2.2
RESEARCH HYPOTHESIS 1
H1: There is a significant relationship between the level of in-service teacher training in assistive technology for the visually impaired and the level of student access to assistive technology for the visually impaired.
NULL HYPOTHESIS 1
H0: There is not a significant relationship between the level of in-service teacher training in assistive technology for the visually impaired and the level of student access to assistive technology for the visually impaired.
Statistical Analysis Table 5 Spearman’s Rank Correlation Coefficient and p-
Values for Teacher In-service Training and Student levels of Access for Assistive Technology for Students with Visual Impairments (n=45) Students (n=13) Teachers
Assistive Technology Category rs
p Assistive Technology for Students with Low Vision
1. Desktop Video Magnifiers -.324 .280 2. Portable Digital Handheld Magnifiers -.328
.275 3. Electronic Telescopes -.158
.606 4. Screen Enlargement Software
-.530 .063 5. Large Display Calculators .101 .743 6. Large Display Graphing Calculators -.189
.537
Statistical Analysis Assistive Technology Category rsp
Assistive Technology for Students who are Blind
Auditory. 7. Screen Reading Software -.587 .035* 8. Scan and Read Software -.371 .211 9. Portable Note takers (PDAs) -.078 .801 10. Digital Book Reading Hardware -.291 .334 11. Digital Book Reading Software .077 .802 12. Desktop Audio Players -.581 .037* 13. Portable Audio Players .060 .845 14. Talking Dictionary -.266 .380
Statistical AnalysisAssistive Technology Category rs
pBraille.Braille. 15. Manual Braille Writer -.237. .436 16. Electronic Braille Writer -.123 .689 17. Miscellaneous Braille Writing Tools .453 .12
0 18. Braille Embossers -.294 .330 19. Braille Translation Software .060
.845
Statistical Analysis Tactile Graphics.
Assistive Technology Category rs p 20. Tactile Graphics Hardware .594 .032* 21. Tactile Graphics Software -.222 .466 22. Tactile Graphics Kits.092 .765 Math Tools. 23. Talking Calculators .055 .860 24. Cranmer Abacus -.204 .504 25. Math Concepts Software .279 .357 26. Miscellaneous Math Tools -.488 .091 *p < .05
HYPOTHESIS 1 RESULTS
0 5 10 15 20 25 300
20
40
60
80
100
120
Teacher Low Level of Training
Teacher High Levels of Training
Student Low Level of Access
Student High Level of Access
Assistive Technology Categories
Percen
tages
HYPOTHESIS 1 RESULTS
Null hypothesis is retained. While there were a few areas that
were statistically significant, there was not enough evidence to support the hypothesis.
There were trends which indicate that further research with a larger sample size might give better results to support the research hypothesis.
HYPOTHESIS 2
H2: There is a significant relationship between the academic subject that the teacher of the visually impaired is teaching, and the level of student access by students with visual impairments to assistive technology for the visually impaired.
Null Hypothesis 2
H0: There is not a significant relationship between the academic subject that the teacher of the visually impaired is teaching, and the level of student access by students with visual impairments to assistive technology for the visually impaired.
Statistical AnalysisTable 6Spearman’s Correlation Coefficient for Level of
Access and Academic Subject Area (n = 45) Assistive Technology for Students with Low
Vision
ELA Math SC SS rs rs rs rs
1. Desktop Video Magnifiers .770** .695** .626** .652**2. Portable Digital Handheld Magnifiers
.774** .224 .650** .669**3. Electronic Telescopes .517** .517** .517* 04. Screen Enlargement Software
.722** .697** .509** .722**5. Large Display Calculators .397** .881** .720** .397**6. Large Display Graphing Calculators
.500** .770** .476** .366*
STATISTICAL ANALYSISAssistive Technology for Students who are
Blind ELA Math SC SS rs rs rs rs
Auditory.7. Screen Reading Software .672**.499**.622**.722*8. Scan and Read Software .829**.857**.664**.780** 9. Portable Note takers (PDAs)
.808**.786**.664**.767**10. Digital Book Reading Hardware
786**.664**.767**.767**11. Digital Book Reading Software
.825**.489**.550**.667**12. Desktop Audio Players .937**.426**.320* .548**
13. Portable Audio Players .997**.863**.707**.730**14. Talking Dictionary .945**.261 .521**.642**
Statistical Analysis ELA Math Sc SS rs rs rs rs
Braille.15. Manual Braille
Writer .807**.895**.781**.709**16. Electronic Braille Writer
.788**.617**.685**.727**17. Miscellaneous Braille Writing Tools
.808**.598**.596**.598**18. Braille
Embossers .699**.535**.535**.775**19. Braille Translation Software
.744**.624** 0 .625
STATISTICAL ANALYSIS ELA Math Sc
SS
rs rs rs rs
Tactile Graphics.
20. Tactile Graphics Hardware .744** .624** 0 .625
21. Tactile Graphics Software .518* .707** 0 .518
22. Tactile Graphics Kits .314* .869** 0 .314
Math Tools.
23. Talking Calculators .224 .793**.411** .030
24. Cranmer Abacus .414** .957** .398**.374**
25. Math Concepts Software .723**.723**.517**.500**
26. Miscellaneous Math Tools .271 .875**.576** .327*
* p < .05
** p < .01
HYPOTHESIS 2 RESULTS
0 5 10 15 20 25 300
0.2
0.4
0.6
0.8
1
1.2
ELA
Linear (ELA)
Math
Linear (Math)
Sci
Linear (Sci)
SS
Linear (SS)
Linear (SS)
HYPOTHESIS 2
The research hypothesis was retained. 82% of the possible 104 correlations combinations were significant at the p<.01 level and 5.8% were significant at the p<.05 level with a total of 86% of the data being statistically significant to support the research hypothesis.
All areas had some level of significances.
HYPOTHESIS 3
H3: There is a significant relationship between the level of in-service teacher training in assistive technology for the visually impaired and the level of usage of assistive technology for the visually impaired.
NULL HYPOTHESIS 3
H0: There is not a significant relationship between the level of in-service teacher training in assistive technology for the visually impaired and the level of usage of assistive technology for the visually impaired by students with visual impairments.
STATISTICAL ANALYSISTable 7Spearman’s correlation coefficient for Teacher In-service
Training and Student Usage in Academic Subject Areas (n=45).
Assistive Technology Category ELA Math SC SS rs rs rs rs
Assistive Technology for Students with Low Vision 1. Desktop Video Magnifiers -.324 -.324 0-.3242. Portable Digital Handheld Magnifiers -.328 -.328 0 -.3283. Electronic Telescopes -.158 -.158 0-.158 4. Screen Enlargement Software -.360 -.360 0-.3605. Large Display Calculators -.287 .083 .082 -.287 6. Large Display Graphing Calculators -.189 -.189 0 -.189
STATISTICAL ANALYSIS
Assistive Technology for Students who are Blind ELA MathSC SS rs rs rs rs
Auditory.7. Screen Reading Software .283 .462 .613* .012
8. Scan and Read Software -.371 -.371 0 -.371
9. Portable Note takers (PDAs)-.193 .097 -.039 .17
10. Digital Book Reading Hardware -.198 0 0 0
11. Digital Book Reading Software .145 .297 .495 .235
Assistive Technology for Students who are Blind
ELA Math SC SS
rs rs rs rs
Auditory.
12. Desktop Audio Players -.168 -.425 -.425 .425
13. Portable Audio Players -.431 -.431 -.293 -.431
14. Talking Dictionary -.287 -.325 -.028 -.287
STATISICAL ANALYSIS
STATISTICAL ANALYSIS
ELA Math SC SSrs rs rs rs
Braille.15. Manual Braille Writer
-.258 -.041 -.118 .0416. Electronic Braille Writer
.233 .411 .152 .1517. Miscellaneous Braille Writing Tools .453 .604* .604* .604*
18. Braille Embossers -.294 0 -.294 -.294
19. Braille Translation Software .041 .041 0 0
STATISTICAL ANALYSIS ELA Math SC SS
rs rs rs rs
Tactile Graphics. 20. Tactile Graphics Hardware 0 .592* .402 .402
21. Tactile Graphics Software -.222 -.222 0 -.222
22. Tactile Graphics Kits -.290 .052 0 -.290 Math Tools.
23. Talking Calculators -.423 .125 .355 -.126
24. Cranmer Abacus -.265 -.076 .124 -.122
25. Math Concepts Software -.279 -.280 -.189 -.355
26. Miscellaneous Math Tools -.538 -.538 -.287 -.422
*p < .05
HYPOTHESIS 3 RESULTS
0
10
20
30
40
50
60
70
English
Math
Science
Social Studies
HYPOTHESIS 3 RESULTS
Desktop Video
Mag
nifiers
Portable
Video M
agnifiers
Electr
onic Tele
scopes
Scree
n Enlar
gemen
t SW
Large
Display
Calculat
ors
Large
Display
Graphing C
alculat
ors
Scree
n Reading S
W
Scan an
d Read SW
Portable
Notetak
ers PDA's
Digital
Book Rea
ding HW
Digital
Book Rea
ding SW
Desktop Audio Play
ers
Portable
Audio Players
Talki
ng Dicti
onary
Maunual
Braille
Writ
er
Electr
ic Brai
lle W
riter
Miscell
aneo
us Brai
lle W
riting T
ools
Braille
Embosse
r
Braille
Tran
slation SW
Tacti
le Grap
hics HW
Tacti
le Grap
hics SW
Tacti
le Grap
hics Kits
Talki
ng Calc
ulator
Cranmer
Abacus
Math Concep
t SW
Miscell
aneo
us Math
Tools
0
20
40
60
80
100
120
Teacher Low Level of TrainingTeacher High Levels of Training
HYPOTHESIS 3 RESULTS
Desktop Video
Mag
nifiers
Portable
Video M
agnifiers
Electr
onic Tele
scopes
Scree
n Enlar
gemen
t SW
Large
Display
Calculat
ors
Large
Display
Graphing C
alculat
ors
Scree
n Reading S
W
Scan an
d Read SW
Portable
Notetak
ers PDA's
Digital
Book Rea
ding HW
Digital
Book Rea
ding SW
Desktop Audio Play
ers
Portable
Audio Players
Talki
ng Dicti
onary
Maunual
Braille
Writ
er
Electr
ic Brai
lle W
riter
Miscell
aneo
us Brai
lle W
riting T
ools
Braille
Embosse
r
Braille
Tran
slation SW
Tacti
le Grap
hics HW
Tacti
le Grap
hics SW
Tacti
le Grap
hics Kits
Talki
ng Calc
ulator
Cranmer
Abacus
Math Concep
t SW
Miscell
aneo
us Math
Tools-50
0
50
100
150
200
250
300
350
400
450
ELAMathSCSS
Figure 5. Teacher in-service training compared to student usage of at(n = 45 students) (n = 13 teachers).
HYPOTHESIS 3 RESULTS
Spearman’s correlation coefficient indicates little to no correlation between the level of teacher in-service training in AT for the visually impaired and student usage of AT for the visually impaired in each academic subject area.
Although there are a few areas that are statistically significant, there were not enough to warrant accepting the research hypothesis so the null hypothesis must be retained.
RESEARCH HYPOTHESIS 4
H4: There is a significant relationship between the academic subject area that the teacher of the visually impaired is teaching and the level of student usage of assistive technology for the visually impaired.
H0: There is not a significant relationship between the academic subject area that the teacher of the visually impaired is teaching and the level of usage of assistive technology for the visually impaired by students with visual impairments.
NULL HYPOTHESIS 4
STATISTICAL ANALYSISTable 8Frequency of Student access to Assistive Technology in Academic Subject
Areas (n = 45) Assistive Technology Category %
English Math Sc SSAssistive Technology for Students with Low Vision
1. Desktop Video Magnifiers 2.2 17.4 15.5 15.5
2. Portable Digital Handheld Magnifiers 13.2 11.0 4.4 11.1
3. Electronic Telescopes 2.2 2.2 0 2.2
4. Screen Enlargement Software 24.4 13.3 15.5 24.4
5. Large Display Calculators 4.4 31.1 13.3 4.4
6. Large Display Graphing Calculators 4.4 11.1 4.4 2.2
STATISTICAL ANALYSISAssistive Technology Category %
English Math Sc SS
Assistive Technology for Students
with Low Vision
5. Large Display Calculators 4.4 31.1 13.3 4.4
6. Large Display Graphing Calculators
4.4 11.1 4.4 2.2
STATISTICAL ANALYSIS
Assistive Technology Category% English Math Sc SS
Assistive Technology for Students Who Are Blind Auditory.7. Screen Reading Software 60.0 33.4 26.7 38.9
8. Scan and Read Software15.5 11.0 11.0 13.2
9. Portable Note takers (PDAs)39.9 31.1 6.6 15.5
STATISTICAL ANALYSISAssistive Technology Category %
English Math Sc SS
10. Digital Book Reading HW 46.6 15.5 13.3 26.7
11. Digital Book Reading SW 26.6 8.8 6.6 15.5
12. Desktop Audio Players 51.1 17.7 19.9 33.3
13. Portable Audio Players 8.8 6.6 4.4 8.8
14. Talking Dictionary 42.2 4.4 13.3 20.0
STATISTICAL ANALYSISAssistive Technology Category
%
English Math Sc SS
Braille.
15. Manual Braille Writer 42.2 64.4 37.8 35.6
16. Electronic Braille Writer 24.5 8.8 11.1 13.3
17. Miscellaneous Braille Writing Tools
17.7 13.2 8.8 13.2
18. Braille Embossers 6.6 4.4 4.4 8.9
19. Braille Translation SW 6.6 4.4 0 4.4
STATISTICAL ANALYSIS
% English Math Sc SS
Tactile Graphics. 20. Tactile Graphics Hardware 0.0 6.6 2.2 2.2
21. Tactile Graphics Software 2.2 4.4 0 2.2
22. Tactile Graphics Kits 2.2 13.3 0 2.2
Math Tools.23. Talking Calculators 13.4 11.1 28.8 7.0
24. Cranmer Abacus .6 35.6 4.4 4.4
25. Math Concepts Software 4.4 4.4 2.2 8.8
26. Miscellaneous Math Tools11.0 64.4 19.9 6.6
% English Math Sc SS
Math Tools.23. Talking Calculators 13.4 11.1 28.8 7.0
24. Cranmer Abacus .6 35.6 4.4 4.4
25. Math Concepts Software 4.4 4.4 2.2 8.8
26. Miscellaneous Math Tools 11.0 64.4 19.9 6.6
STATISTICAL ANALYSIS
STATISTICAL ANALYSISTable 9Spearman’s Coefficient of AT for the Visually Impaired Across Subject
Areas (n = 45)
Assistive Technology for Students with Low VisionE/M E/SC E/SS M/SC M/S SC/SS rs rs rs rs rs rs
1. Desktop Video Magnifiers .632**.654**.708**.595**.783**.803**
2. Portable Digital Handheld Magnifiers .688**.527**.880**.266. 788**.609**
3. Electronic Telescopes 1.000* 0 1.000** 0 1.000** 0
4. Screen Enlargement Software .782**.610** .790** .752**.886**.748**
5. Large Display Calculators .321* .218 1.000** .591**.321*.218
6. Large Display Graphing Calculators.602** .454** .715** .602** .447** -.033
STATISTICAL ANALYSIS
Assistive Technology for StudentsWho are Blind
E/M E/SC E/SS M/SC M/S SC/SSrs rs rs rs rs rs
6. Large Display Graphing Calculators .602**.454**.715**.602**.447** -.033
Auditory7. Screen Reading Software
.334* .508* .588**.336* .516** .515**
8. Scan and Read Software .816**.818** .923**.795** .917**.882**
9. Portable Note takers (PDAs) .772**.640**.690**.651** .894**.585**
STATISTICAL ANALYSIS E/M E/SC E/SS M/SC M/S SC/SS
rs rs rs rs rs rs
10. Digital Book Reading Hardware.273 .354* .397** .549** .443** .550**
11. Digital Book Reading Software .474** .352 .557** .867** .760** .638**
12. Desktop Audio Players .290.223 .292 .669** .589* .651**
13. Portable Audio Players.840** .656**.714** .817** .854** .665**
14. Talking Dictionary .326* .505**.559** -.084 .471** .618**
STATISTICAL ANALYSIS
Braille E/M E/SC E /SS M/S M/S SC/SS rs rs rs rs rs rs
15. Manual Braille Writer .673**.671**.717**.521**.545**.671**
16. Electronic Braille Writer.609**.675**.717**.894**.826** .923**
17. Miscellaneous Braille Writing Tools.540**.513**.540**.816* 1.000** .816**
18. Braille Embossers .365* .787**.528**.477**.690** .690**
19. Braille Translation Software.374* 0 .384** 0 .465** 0
STATISTICAL ANALYSIS
E/M E/SC E/SS M/SC M/S SC/SSrs rs rs rs rs rs
Tactile Graphics.
20. Tactile Graphics Hardware 0 0 0 .537** .537**1.000**
21. Tactile Graphics Software .715** 0 1.000**0 0.715**
22. Tactile Graphics Kits .432** 0 1.000**0 .432** 0
STATISTICAL ANALYSIS
Math Tools. E/M E/SC E /SS M/S M/S SC/SS
rs rs rs rs rs rs
23. Talking Calculators -.071 .106 .304 .261 -.027 .192
24. Cranmer Abacus .243 .374* .826** .390** .360* .465**
25. Math Concepts Software 1.000**.715** .723** .699** .723** .517**
26. Miscellaneous Math Tools .128 .245 .775** .537** .123 .375* E/M=English Language Arts/Math, E/SC=English Language Arts/Science
E/SS=English Language Arts/Social Studies, M/SC =Math/Science, M/SS== Math/ Social Studies, SC/SS= Science/Social Studies.
* p < .05** p<01
HYPOTHESIS 4 RESULTS
0
10
20
30
40
50
60
70EnglishMathScience Social Studies
Figure 6. Comparison of student assistive technology access by subject arean = 45.
HYPOTHESIS 4 RESULTS
Based on the Spearman’s correlation coefficient, there is a significant correlation between usage of assistive technology for students with visual impairments and subject areas. In fact, there are numerous significant correlations between AT usage as compared to usage in other academic areas. Of the possible 156 correlational possibilities, 12 (7.7 %) were significant at the p < .05 level and 110 (71 %) were significant at the p < .01 level. Only 34 (21.3%) were not statistically significant.
HYPOTHESIS 4 RESULTS
There were sufficient significant correlations at the p < .05 and p < .01 level (78.7% ) to determine that the research hypothesis was retained. The null hypothesis was rejected.
STUDY CONCLUSIONS
Hypothesis 1 and Hypothesis 3- The null hypotheses were accepted. However, there were trends, though not statistically significant, for hypothesis 1 that indicated that further study might yield different results with a larger sample size.
Hypotheses 2 and 4- The research hypotheses was retained.
RECOMMENDATIONS- FURTHER RESEARCH Replication of the study with a
larger sample size. Include itinerant TVI’s. Expand study to examine TVI’s
skill level in each assistive technology level and not just their number of hours of training
RECOMMENDATIONS- PRACTICE
Include peer coaching as a follow-up to in-service training to improve TVI levels of proficiency
TVI’s should provide access to a variety of assistive technology both high and low tech in all subject areas
Access to the curriculum is the key to positive student achievement for students with visual impairments. AT is the catalyst that makes this possible.
CONCLUSION
Access to and use of assistive technology is not a luxury for students with visual impairments. It is a necessity. The use of assistive technology is the key that unlocks the world of print and digital information to students with low vision and blindness. Further investigation is needed to strengthen the body of research in this critical area.