Evidence map›Paper›PMID 41112899›Full record

ArticleMedical science educator2025

Student Perspective Matters for GenAI in Question Setting in Medical Education.

Olivia Ng, Siew Ping Han, Lin Anne Chui, Timothy Peng Lim Quek, Ray Tian Rui Lai, Zheng-Wei Lee

Abstract read
In one paragraph

Article in Medical science educator, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Olivia Ng *Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0001-7573-3725
Siew Ping Han *Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0003-4429-9190
Lin Anne ChuiLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Timothy Peng Lim QuekLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Ray Tian Rui LaiLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Zheng-Wei LeeLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-8062-7772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We explored medical students' perceptions of the use of GenAI-generated multiple-choice questions (MCQs) for their assessments. A survey was conducted with MBBS students to (i) investigate whether they could differentiate between questions created by ChatGPT and clinical educators, and (ii) explore students' perceptions of faculty use of GenAI-generated questions in assessments. Participants ( Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-025-02396-7.

Indexed as

AssessmentChatGPTLarge language modelsStudents’ perception

Identifiers

PMID41112899
PMCPMC12532554

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.