A Hadoop-Based Online Teaching Model of "VisibleBody"


  • Haiyan Deng Xiangnan University
  • Chunyan Li Hunan University of Chinese Medicine




Hadoop technology, VisibleBody, community nursing, OSCE mode


It is the responsibility of nursing educators to cultivate community nursing professionals who can adapt to the post and meet social needs. However, there exist some problems in current community nursing curriculum education such as inconsistent teaching content and different levels of teachers’ lecturing. In this study, a good educational resource ecosystem was established in virtue of the mighty flexibility and expansibility of hadoop technology, the resources in community nursing teaching courses are stored in the hadoop cloud resource library. At the same time, community nursing online course resources were newly designed and improved through HdoopYarn resource scheduling algorithm, thereby realizing the establishment of a virtual experimental environment for nursing major. VisibleBody virtual medical software was applied to the internship and practical training, specifically in 12 knowledge units of 5 modules according to the characteristics of this course, demonstrating a deep-level human body structure and accurate nursing operation. An objective structured clinical examination mode was adopted in the teaching method, which could create a simulated community nursing situation during teaching, so that students could complete standardized patient assessment and examination within the given time, and accept testers’ questions and acquire results. It was found from the teaching practice that the application of teaching model is conductive to enhancing students' academic performance and improving community nursing capabilities, including problem-solving competence, communication skills, teamwork ability, etc.




How to Cite

Deng, H., & Li, C. (2021). A Hadoop-Based Online Teaching Model of "VisibleBody". International Journal of Emerging Technologies in Learning (iJET), 16(11), pp. 46–58. https://doi.org/10.3991/ijet.v16i11.23219