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基于多源医学数据融合的医学生人文精神培养

Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion.

机构信息

College of Nursing and Rehabilitation, Xi'an Medical University, Xi'an 710021, China.

出版信息

Comput Math Methods Med. 2022 Jul 29;2022:7896367. doi: 10.1155/2022/7896367. eCollection 2022.

DOI:10.1155/2022/7896367
PMID:35936381
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9355777/
Abstract

Medical colleges need to strengthen the cultivation of medical students' humanistic and spiritual literacy. First of all, schools need to change the current educational concept and the cultivation mode of humanistic quality. In educational work, schools should pay attention to the social cognitive skills of medical students, and at the same time pay attention to the cultivation of students' basic qualities. Schools need to find problems in time, and schools need to take corresponding measures to deal with these problems. Medical colleges need to strengthen the training of medical students' comprehensive quality and incorporate humanistic education into the goal of all-round development of medical students. Specifically, schools need to adopt a work method of distributed implementation and distributed guidance to fully mobilize the enthusiasm and initiative of school leaders, teachers, and students themselves. Schools need to strengthen inspection and supervision and summarize the experiences and lessons that students have learned in their learning. On this basis, schools need to improve the quality and efficiency of students' humanities education work. Through the analysis of multisource medical data, this paper conducts research on the working mode of humanistic quality cultivation in medical colleges. Specifically, school education will be people-centered. Schools need to cultivate the humanistic spirit of medical students in the ideological and political education work. This paper conducts mathematical statistical analysis based on multisource medical data and analyzes the differences in the effect of different teaching modes and training methods on the cultivation of medical students' humanistic spiritual literacy. Based on this, the research proposes recommendations for the future development of medical schools. First of all, schools need to build a humanized classroom, combine skills education with moral education, and improve the learning efficiency of student groups. In addition, schools need to teach students to feel respected and valued. Secondly, schools need to implement human-oriented teaching work to give full play to students' own talents and personalities. During school education work, schools need to organically combine classroom education and social practice. Schools need to link teaching and real society and link students' learning process with real life. Schools need to organically combine reading and learning with life, so as to promote the all-round development of students' humanistic quality.

摘要

医学院校需要加强医学生人文精神素养的培养。首先,学校需要改变当前的教育观念和人文素质培养模式。在教育工作中,学校应注重医学生的社会认知技能,同时注重培养学生的基本素质。学校需要及时发现问题,并采取相应措施解决这些问题。医学院校需要加强医学生综合素质的培养,将人文教育纳入医学生全面发展的目标。具体来说,学校需要采取分布式实施和分布式指导的工作方法,充分调动学校领导、教师和学生自身的积极性和主动性。学校需要加强检查监督,总结学生学习中的经验教训。在此基础上,提高学生人文教育工作的质量和效率。本文通过对多源医学数据的分析,对医学院校人文素质培养的工作模式进行研究。具体来说,学校教育要以人为本。学校需要在思想政治教育工作中培养医学生的人文精神。本文基于多源医学数据进行数理统计分析,分析不同教学模式和培养方法对医学生人文精神素养培养效果的差异。在此基础上,为医学院校的未来发展提出建议。首先,学校需要构建人性化课堂,将技能教育与道德教育相结合,提高学生群体的学习效率。此外,学校需要教会学生尊重和重视他人。其次,学校需要实施以人为本的教学工作,充分发挥学生自身的才能和个性。在学校教育工作中,学校需要有机地将课堂教育与社会实践相结合。学校需要将教学与真实社会联系起来,将学生的学习过程与现实生活联系起来。学校需要将阅读和学习与生活有机地结合起来,促进学生人文素质的全面发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/3ba3daee55a7/CMMM2022-7896367.008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/2e9608ed6c42/CMMM2022-7896367.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/f247f490ad0f/CMMM2022-7896367.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/98618686b4c3/CMMM2022-7896367.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/c0b1ed28a6cd/CMMM2022-7896367.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/f1a163a6f2a5/CMMM2022-7896367.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/4f9f7c980c59/CMMM2022-7896367.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/5daaf9a556ed/CMMM2022-7896367.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b0/9355777/3ba3daee55a7/CMMM2022-7896367.008.jpg

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