Table 2 Sampling.

From: Modeling teacher education students’ adoption of large language models through an extended technology acceptance framework

Demographics

Category

N = 552

Percentage (%)

Gender

Male

142

25.72

Female

410

74.28

Place of origin of high school students

Cities

220

39.86

Counties

280

50.72

Towns

52

9.42

Subject category

Language

47

8.51

Math

41

7.43

English

40

7.25

History

30

5.43

Geography

35

6.34

Physics

31

5.62

Chemistry

29

5.25

Politics

27

4.89

Biology

19

3.44

Art

24

4.35

Music

27

4.89

Physical Education

32

5.80

Education

35

6.34

Preschool Education

52

9.42

Elementary Education

55

9.96

Psychology

28

5.07

Frequency of use of LLM

Never

0

0.00

Once or twice a month

88

15.94

Once or twice a week

174

31.52

Almost every day

193

34.96

Every day

97

17.57

Common large language model

Qwen

84

15.22

ERNIE Bot

305

55.25

GLM-4

145

26.27

SparkDesk

137

24.82

Pangu

53

9.60

Chatgpt

177

32.07

Doubao

285

51.63

Kimi

174

31.52

Hunyuan AI

25

4.53

Tiangong

39

7.07

Back to article page