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

Journal: BMC medical education
PMID: 39806354

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.

Authors

  • Wei Lin
    Department of Geriatric Rehabilitation, Jiangbin Hospital, Nanning, China.
  • Lin Xu
    Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
  • Tao Yin
    Department of Rehabilitation Medicine Center, Affiliated Tai'an Central Hospital, Qingdao University, No. 29, Longtan Road, Taishan District, Tai'an City, 271000, Shandong, China. yintaokfk@163.com.
  • Yujie Zhang
    Beijing University of Chinese Medicine, Beijing, 100029, China. zhyj227@126.com.
  • Binxin Huang
    Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Xiabin Zhang
    School of Intelligent Medicine, Chengdu University of TCM, Chengdu, China.
  • Yang Chen
    Orthopedics Department of the First Affiliated Hospital of Tsinghua University, Beijing, China.
  • Jiaqi Chen
    Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Fang Zeng
    Acupuncture and Tuina School/The Third Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

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