Evidence map›Paper›PMID 41606569›Full record

ArticleBMC nursing2026

ChatGPT usage among nursing students in Taiwan: a qualitative study.

Hui-Man Huang

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

1 author.

Hui-Man HuangSchool of Nursing, Tzu Chi University, Hualien, 970302, Taiwan. hhuiman@gms.tcu.edu.tw.ORCID http://orcid.org/0000-0003-4378-176X

Funding

Tzu Chi University TCCT-1122B02
6 · The paper itself

Abstract

backgroundChatGPT enhances students’ understanding of complex healthcare concepts and demonstrates significant potential for nursing education and research. In Taiwan, nursing students have used ChatGPT independently in various courses. Understanding students’ perspectives is essential to nursing education, and ChatGPT shows promise as an educational tool; nonetheless, further empirical research is required to fully understand the impact of ChatGPT usage on education.

methodsThis study included 20 nursing students (15 females, five males) enrolled in a 4-year Bachelor of Science in Nursing (BSN) program in Eastern Taiwan. A qualitative research approach with purposive and snowball sampling was employed to gather information on nursing students’ experiences in online practicum courses. Semi-structured interviews were conducted, and the collected data were analyzed using an eight-step content analysis process. The research was conducted in private spaces convenient for the participants.

resultsIn-depth interviews revealed the advantages: “Convenient artificial intelligence (AI) assistant,” and “Enhancing self-learning effectiveness,” and disadvantages: “Challenges of ChatGPT usage,” and “Gap between ChatGPT and nursing.” Each main theme comprised three to four subthemes.

conclusionsGenerative AI is a valuable assistive tool that supports students in nursing practice. However, nursing educators should guide students in using generative AI appropriately and incorporate it into their instructional strategies.

Indexed as

Artificial intelligence (AI)ChatGPTNursing students; nursing education

Identifiers

PMID41606569
PMCPMC12924483

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.