Published September 16, 2024 | Version v1
Dataset Open

Data From: ChatGPT versus expert feedback on clinical reasoning questions and their effect on learning: a randomized controlled trial

Description

Dataset Info

1) Immediate Test
-    The first row of the dataset identifies the columns.
-    Column A represents the participants’ iDs.
-    Column B represents the participants’ assigned group [0: Control (ExpertFeedback) 1: Intervention (ChatGPTFeedback)].
-    Column C represents the genders of the participants (1: Female, 2: Male).
-    Column D represents the first-year repetition status of the participants. (0: No, 1: Yes)
-    Column E to H represent the scores in four different uncomplicated urinary tract infection (UTI) Key-Features Questions Items separately. 
-    Column I represents the total scores in uncomplicated UTI Key-Features Questions Items. 
-    Column J to M represent the scores in four different complicated UTI Key-Features Questions Items separately. 
-    Column N represents the total scores in complicated UTI Key-Features Questions Items. 
-    Column O to R represent the scores in four different pyelonephritis Key-Features Questions Items separately. 
-    Column S represents the total scores in pyelonephritis Key-Features Questions Items. 
-    Column T represents the total scores in immediate test. 

2) Delayed Test
-    The first row of the dataset identifies the columns.
-    Column A represents the participants iDs.
-    Column B represents the participants’ assigned group [0: Control (ExpertFeedback) 1: Intervention (ChatGPTFeedback)].
-    Column C represents the genders of the participants (1: Female, 2: Male).
-    Column D represents the first-year repetition status of the participants. (0: No, 1: Yes)
-    Column E to H represent the scores in four different uncomplicated urinary tract infection (UTI) Key-Features Questions Items separately. 
-    Column I represents the total scores in uncomplicated UTI Key-Features Questions Items. 
-    Column J to M represent the scores in four different complicated UTI Key-Features Questions Items separately. 
-    Column N represents the total scores in complicated UTI Key-Features Questions Items. 
-    Column O to R represent the scores in four different pyelonephritis Key-Features Questions Items separately. 
-    Column S represents the total scores in pyelonephritis Key-Features Questions Items. 
-    Column T represents the total scores in delayed test. 

3) Pre-Intervention Survey on Critical Approach to AI
-    The first row of the dataset identifies the columns.
-    Column A represents the participants iDs.
-    Column B represents the participants’ assigned group [0: Control (ExpertFeedback) 1: Intervention (ChatGPTFeedback)].
-    Column C represents the genders of the participants (1: Female, 2: Male).
-    Column D represents the first-year repetition status of the participants (0: No, 1: Yes).
-    Column E to J represent the responses of the participants to survey questions before the intervention. Each column is evaluated on a scale from 1 to 7. As it progresses from 1 to 7, the agreement status of participants to survey questions increases. (1: No agreement at all, 7: completely agree)

4) Post-Intervention Survey on Critical Approach to AI
-    The first row of the dataset identifies the columns.
-    Column A represents the participants iDs.
-    Column B represents the participants’ assigned group [0: Control (ExpertFeedback) 1: Intervention (ChatGPTFeedback)].
-    Column C represents the genders of the participants (1: Female, 2: Male).
-    Column D represents the first-year repetition status of the participants (0: No, 1: Yes).
-    Column E to J represent the evaluation of the participants to survey questions after intervention. Each column is evaluated on a scale from 1 to 7. As it progresses from 1 to 7, the agreement status of participants to survey questions increases.  (1: No agreement at all, 7: completely agree)

Files

Files (68.2 kB)

Name Size Download all
md5:b8ce30ff6d29adf4fee572b351acfc0f
21.4 kB Download
md5:4d90109c5cf622ab65d5fa9e3bffb56a
21.6 kB Download
md5:757c368dd62178c9129eca105cc1f24a
12.5 kB Download
md5:e5104d7b9ac84a213a3ed338012f4479
12.7 kB Download