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Table 2 Perceptions and attitudes of undergraduate medical students towards the pros and cons of using large language models

From: A cross sectional investigation of ChatGPT-like large language models application among medical students in China

 

Gender

Grade levels2

 

Male

Female

Junior-level students

Senior-level students

Attitude towards large language models1

   

Pessimistic

29

22

26

25

 

Neutral

501

645

380

766

 

Optimistic

290

231

166

355

 

Mean Rank

898.11

824.25

839.20

869.64

 

Z

-3.75

 

-1.50

  

p-value

< 0.001

 

0.14

  

The pros and cons of using large language models1

Cons outweigh pros

46

57

37

66

 

Equal pros and cons

409

535

308

636

 

Pros outweigh cons

365

306

227

444

 

Mean Rank

905.57

817.43

862.10

858.20

 

Z

-4.18

 

-0.20

  

p-value

< 0.001

 

0.86

  
  1. 1 Mann-Whitney U test
  2. 2 Junior-level students: first-year and second-year students; Senior-level students: third-year, fourth-year and fifth-year students