Asia-Pacific Forum on Science Learning and Teaching, Volume 15, Issue 2, Article 5 (Dec., 2014) |
Median values of the scores and required standard score values of the teacher candidates received from the subdimensions of the TPACK survey based on their departments are shown in Table 2. As evident from the table, the median values regarding TPACK and its subdimensions are below the expected standard value. Only the physics teacher candidates were seen in the sufficient level in the TPK dimension.
Table 2. TPACK competence of departments based on Provus’ assessment model
Subscale
Department
N
Performance Median
Standard
TK
Physics
66
58
≥60
Science
57
51
CK
Physics
66
20
≥24
Science
57
19
PK
Physics
66
21
≥24
Science
57
20
PCK
Physics
66
25
≥28
Science
57
24
TPK
Physics
66
16*
≥16
Science
57
14
TCK
Physics
66
14.5
≥16
Science
57
12
TPACK
Physics
66
18
≥20
Science
57
17
Table 3 presents the independent t-test and the comparison of the scores regarding TPACK and its subdimensions with GPA scores of the physics and science teacher candidates. As shown from the results of the analysis, physics teacher candidates are more successful when compared to science teacher candidates in terms of their TK, CK, TPK, TCK, TPACK, and GPA scores ( P<0.05). No significant difference could be found between the physics and science teacher candidates in terms of PK and PCK scores (P>0.05).
Table 3. Physics and science teacher candidates’ TPACK and GPA scores according to department
Subscale
Department
N
Mean
Performance Median
Std. Deviation
t
p
TK
Physics
66
58.6212
58
6.90098
6.966
.000
Science
57
49.2105
51
8.08380
CK
Physics
66
20.4394
20
3.09903
3.689
.000
Science
57
18.1053
19
3.91282
PK
Physics
66
20.6061
21
3.56858
0.957
.341
Science
57
19.9298
20
4.27142
PCK
Physics
66
24.3485
25
4.86587
0.596
.552
Science
57
23.8246
24
4.85917
TPK
Physics
66
15.4545
16
2.59693
4.660
.000
Science
57
13.0526
14
3.11919
TCK
Physics
66
14.2576
14.5
2.74737
4.276
.000
Science
57
12.0175
12
3.06181
TPACK
Physics
66
17.5455
18
3.65506
2.017
.046
Science
57
16.2456
17
3.45523
GPA Scores
Physics
66
2.9285
2.97
0.48370
5.672
.000
Science
57
2.4693
2.49
0.40190
As demonstrated in Table 4, TPACK scores of the teacher candidates influence their academic achievements in a positive way. As a result of regression analysis, it was found that TPACK and its subdimensions influenced teachers’ achievement scores in a positive way at the rate of 18% (R2=0.178). The more the TPACK scores of the teacher candidates increase, the more their academic achievements increase (F=3.547, P<0.002).
Table 4. Prediction of physics and science teacher candidates’ GPA scores by their TPACK constructs
Model
Sum of Squares
df
MeanSquare
F
Sig.
1
Regression
5.452
7
0.779
3.547
.002(a)
Residual
25.250
115
0.220
Total
30.702
122
a)Predictors: TPACK, TK, CK, PK, TCK, TPK, PCK; b)Dependent Variable: GPA scores
In Table 5, a positive and linear but a weak relationship is illustrated between the GPA scores and TPACK, TCK, TPK, TK, and CK scores of the teacher candidates (P<0.01). No relationship was found between the GPA scores and PK and PCK scores (P>0.05). It is obvious that there is a significant, linear, and high relationship between the TPACK scores and all subdimensions of TPACK (P<0.01).
Table 5. Correlations between physics and science teacher candidates’ GPA and TPACK scores
TK
CK
PK
PCK
TPK
TCK
TPACK
GPA_scores
TK
1
CK
.576(**)
1
PK
.344(**)
.657(**)
1
PCK
.307(**)
.603(**)
.780(**)
1
TPK
.619(**)
.649(**)
.579(**)
.658(**)
1
TCK
.612(**)
.649(**)
.588(**)
.687(**)
.790(**)
1
TPACK
.390(**)
.603(**)
.738(**)
.834(**)
.716(**)
.709(**)
1
GPA_scores
.302(**)
.328(**)
.162
.137
.335(**)
.278(**)
.253(**)
1
**. Correlation is significant at the .01 level (2-tailed).
In Table 6, the results of the covariance analysis which shows whether the difference between the GPA scores of the teacher candidates arose from their TPACK scores based on their departments are presented. As shown in the table, the TPACK score is also effective in the generation of the difference between the GPA scores of the physics and science teacher candidates (F=5.481, P<0.05). The GPA scores of the groups which were corrected as a result of a covariance (Ancova) analysis are shown in Table 7.
Table 6. Covariance analysis which shows whether the difference between the GPA scores of the teacher candidates arose from their TPACK scores
Source
Type III
Sum of Squaresdf
Mean
SquareF
Sig.
Partial Eta Squared
Corrected Model
7.730(a)
3
2.577
13.348
.000
.252
Intercept
26.170
1
26.170
135.568
.000
.533
Department
1.150
1
1.150
5.958
.016
.048
TPACK
1.058
1
1.058
5.481
.021
.044
Department * TPACK
.363
1
.363
1.879
.173
.016
Error
22.972
119
.193
Total
937.825
123
Corrected Total
30.702
122
R Squared = .252 (Adjusted R Squared = .233)
Table 7. Physics and science teacher candidates’ estimated marginal GPA scores
Dependent Variable: GPA scores
Department
Scores
Recovered Scores
Std. Error
95% Confidence Interval
Physics
2.928
2.922(a)
.055
2.813 - 3.030
Science
2.469
2.499(a)
.059
2.381 - 2.616
(a) Covariates appearing in the model are evaluated at the following value: TPACK = 16.9431.
Accordingly, students will be more successful if they have strong TPACK. In the literature, the relationship between self-efficacy and academic achievement is indicated as significant (Bandura, 1993; Zimmerman & Bandura, 1994), and self-efficacy is associated with semester and final grades (Pintrich & De Groot, 1990).
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