Evidence map›Paper›PMID 42561136›Full record

ArticleJournal of evaluation in clinical practice2026

AI-Based Learning Experiences of Nursing Students: A Qualitative Study.

Juan Miao, Hong-Lin Chen, Xi-Yuan Peng, Li Shi, Wei Du, Wei Li, Meng-Wei Ge, Lu-Ting Shen, Zhi-Ren Mu, Ying Yu and 4 more

Abstract read
In one paragraph

Article in Journal of evaluation in clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Juan MiaoSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Hong-Lin ChenSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.ORCID https://orcid.org/0000-0003-0147-6863
Xi-Yuan PengSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Li ShiSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Wei DuSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Wei LiSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Meng-Wei GeSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Lu-Ting ShenSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Zhi-Ren MuSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Ying YuSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Rui FengSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Kang ZhongSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Si-Qi GaoSchool of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Hai-Yan ShiRugao Medical Association, Rugao, Nantong, Jiangsu, PR China.

Funding

the Project of Social Science Foundation of Jiangsu Province 24SHB008
6 · The paper itself

Abstract

backgroundGlobal nursing courses are rapidly attempting to utilise large language models (LLMs), and generative AI such as ChatGPT now traverses the traditional classroom-clinical divide.

methodsThis study conducted a qualitative descriptive investigation to explore nursing students' specific experiences and transformations in AI-based learning.

resultsFour interrelated themes were identified: AI-Driven Transformation of Nursing Students' Learning Behaviour Patterns; Emotional-Cognitive Shifts in Nursing Students Through AI-Based Learning; Self-Directed Learning Outcomes in Nursing Students Using AI-Based Learning and Adaptive Challenges.

conclusionsThe findings offer evidence-based insights into how nursing students can leverage AI to navigate rapidly changing nursing education and healthcare environments worldwide.

Indexed as

Artificial IntelligenceEducation, Nursing, BaccalaureateLearningProblem-Based LearningStudents, NursingGenerative Artificial IntelligenceHumansLarge Language ModelsQualitative ResearchAI‐based learningartificial intelligenceexperiencenursing studentsqualitative research

Identifiers

PMID42561136
PMCPMC13446813

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.