Asia-Pacific Forum on Science Learning and Teaching, Volume 15, Issue 2, Article 5 (Dec., 2014)
Ersin BOZKURT
TPACK levels of physics and science teacher candidates: Problems and possible solutions

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Findings

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 Squares

df

Mean
Square

F

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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