Evidence map›Paper›PMID 39806354›Full record

ArticleBMC medical education2025

Exploring the role of moxibustion robots in teaching: a cross-sectional study.

Wei Lin, Lin Xu, Tao Yin, Yujie Zhang, Binxin Huang, Xiabin Zhang, Yang Chen, Jiaqi Chen, Fang Zeng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Wei Lin *School of Acupuncture and Tuina, Chengdu University of TCM, Chengdu, China.
Lin Xu *School of Intelligent Medicine, Chengdu University of TCM, Chengdu, China.
Tao Yin *School of Acupuncture and Tuina, Chengdu University of TCM, Chengdu, China.
Yujie ZhangSchool of Intelligent Medicine, Chengdu University of TCM, Chengdu, China.
Binxin HuangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiabin ZhangSchool of Intelligent Medicine, Chengdu University of TCM, Chengdu, China.
Yang ChenSchool of Acupuncture and Tuina, Chengdu University of TCM, Chengdu, China.
Jiaqi ChenSchool of Acupuncture and Tuina, Chengdu University of TCM, Chengdu, China.
Fang ZengSchool of Acupuncture and Tuina, Chengdu University of TCM, Chengdu, China. zengfang@cdutcm.edu.cn.

Funding

Sichuan College Student Ideological and Political Education Research Center NO. CSZ20044
6 · The paper itself

Abstract

backgroundArtificial intelligence has gradually been used into various fields of medical education at present. Under the background of moxibustion robot teaching assistance, the study aims to explore the relationship and the internal mechanism between learning engagement and evaluation in three stages, preparation before class, participation in class, and consolidation after class.

methodsBased on the data investigated in 250 youths in university via multistage cluster sampling following the self-administered questionnaire, structural equation model was built to discussing factors of study process about moxibustion robots.

resultsIt was found after moxibustion robot teaching assistance that preparation before class, participation in class and consolidation after class positively predicted learning engagement. Learning engagement, preparation before class, participation in class, consolidation after class positively predicted effect evaluation. Learning engagement played a mediating role in the effect of preparation before class and consolidation after class on evaluation.

conclusionEmploying artificial intelligence in three stages of class can improve the quality and efficiency of medicine education and promote its innovation and development. Serviceable and valuable reference and inspiration for future teaching improvement and industrial development can be provided via the systematic research and analysis of the practical application of moxibustion robot in teaching.

Indexed as

Artificial IntelligenceEducation, MedicalMoxibustionRoboticsTeachingAdultCross-Sectional StudiesFemaleHumansLearningMaleSurveys and QuestionnairesYoung AdultEvaluationLearning engagementMoxibustion robotsParticipation in classPreparation before class

Identifiers

PMID39806354
PMCPMC11730462

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.