Exploring the role of moxibustion robots in teaching: a cross-sectional study
Abstract Background Artificial 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...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | BMC Medical Education |
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| Online Access: | https://doi.org/10.1186/s12909-025-06669-y |
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| author | Wei Lin Lin Xu Tao Yin Yujie Zhang Binxin Huang Xiabin Zhang Yang Chen Jiaqi Chen Fang Zeng |
| author_facet | Wei Lin Lin Xu Tao Yin Yujie Zhang Binxin Huang Xiabin Zhang Yang Chen Jiaqi Chen Fang Zeng |
| author_sort | Wei Lin |
| collection | DOAJ |
| description | Abstract Background Artificial 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. Methods Based 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. Results It 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. Conclusion Employing 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. |
| format | Article |
| id | doaj-art-1c00d4569da34b60b398fc6acfc7ec75 |
| institution | Kabale University |
| issn | 1472-6920 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Education |
| spelling | doaj-art-1c00d4569da34b60b398fc6acfc7ec752025-01-19T12:27:45ZengBMCBMC Medical Education1472-69202025-01-0125111210.1186/s12909-025-06669-yExploring the role of moxibustion robots in teaching: a cross-sectional studyWei Lin0Lin Xu1Tao Yin2Yujie Zhang3Binxin Huang4Xiabin Zhang5Yang Chen6Jiaqi Chen7Fang Zeng8School of Acupuncture and Tuina, Chengdu University of TCMSchool of Intelligent Medicine, Chengdu University of TCMSchool of Acupuncture and Tuina, Chengdu University of TCMSchool of Intelligent Medicine, Chengdu University of TCMShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong UniversitySchool of Intelligent Medicine, Chengdu University of TCMSchool of Acupuncture and Tuina, Chengdu University of TCMSchool of Acupuncture and Tuina, Chengdu University of TCMSchool of Acupuncture and Tuina, Chengdu University of TCMAbstract Background Artificial 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. Methods Based 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. Results It 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. Conclusion Employing 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.https://doi.org/10.1186/s12909-025-06669-yMoxibustion robotsPreparation before classParticipation in classLearning engagementEvaluation |
| spellingShingle | Wei Lin Lin Xu Tao Yin Yujie Zhang Binxin Huang Xiabin Zhang Yang Chen Jiaqi Chen Fang Zeng Exploring the role of moxibustion robots in teaching: a cross-sectional study BMC Medical Education Moxibustion robots Preparation before class Participation in class Learning engagement Evaluation |
| title | Exploring the role of moxibustion robots in teaching: a cross-sectional study |
| title_full | Exploring the role of moxibustion robots in teaching: a cross-sectional study |
| title_fullStr | Exploring the role of moxibustion robots in teaching: a cross-sectional study |
| title_full_unstemmed | Exploring the role of moxibustion robots in teaching: a cross-sectional study |
| title_short | Exploring the role of moxibustion robots in teaching: a cross-sectional study |
| title_sort | exploring the role of moxibustion robots in teaching a cross sectional study |
| topic | Moxibustion robots Preparation before class Participation in class Learning engagement Evaluation |
| url | https://doi.org/10.1186/s12909-025-06669-y |
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