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大数据与研究生思政教育的结合研究——以厦门大学信息科学与技术学院海韵学术文化节为例
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作者 黄艺明 李承华 《河南教育(高教版)(中)》 2019年第5期66-68,共3页
目前,高校传统的思政教育模式已经不能满足现行研究生思政教育的需求,高校要探索新形势下高实践性、多渠道、全方面的研究生思政教育新模式。以大容量、高速度、多样化为特征的大数据为思政教育带来了新的发展机遇和挑战,基于研究生兴... 目前,高校传统的思政教育模式已经不能满足现行研究生思政教育的需求,高校要探索新形势下高实践性、多渠道、全方面的研究生思政教育新模式。以大容量、高速度、多样化为特征的大数据为思政教育带来了新的发展机遇和挑战,基于研究生兴趣、心理、行为状况等方面的数据,高校思政教育工作者可以有针对性地创新思政教育方式、方法。本研究以厦门大学信息科学与技术学院海韵学术文化节为例,探索大数据与研究生思政教育的结合。实践证明,这种结合能有效地提升思政教育的吸引力,提高研究生的科研水平以及深化校园文化活动的育人作用。 展开更多
关键词 大数据 思政教育 学术文化节
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From solar terms to medical terms(Part Ⅰ): A first step with big data
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作者 CHEN Ge SHI Jie 《Science China Earth Sciences》 SCIE EI CAS CSCD 2017年第9期1707-1718,共12页
The story of the Twenty-four Solar Terms(24-ST_s) is one of the most popular elements in Chinese culture, which has a profound influence on agriculture production, health care, and even daily life in both ancient and ... The story of the Twenty-four Solar Terms(24-ST_s) is one of the most popular elements in Chinese culture, which has a profound influence on agriculture production, health care, and even daily life in both ancient and modern China. This traditional calendric system was invented by the Chinese ancestors through combining fundamental astronomical knowledge with climatic and phenological conditions in the Yellow River Basin some 2000 years ago. Although the basic philosophy of the 24-ST_s remains valid for the country as a whole to date, their regional robustness has been increasingly challenged by accumulating observational data in terms of temporal shift and spatial inhomogeneity. To tackle these issues, we propose to recalibrate the medically related critical timings of Great Heat and Great Cold in the classic ST system by using big meteorological data, and adjust them by introducing geographically correlated analytical models. As a result, a novel calendric system, called the Twenty-four Medical Terms(24-MT_s), has been developed as an upgraded version of the traditional 24-ST_s. The proposed 24-MT_s are characterized by two striking features with respect to the 24-ST_s: A varying duration of each MT instead of a fixed one for the ST, and a geographically dependent timing for each MT instead of a unified one for the entire nation. As such, the updated 24-MT_s are expected to provide a more realistic estimate of these critical timings around the year, and hence, a more precise guidance to agronomic planning and health care activity in China. 展开更多
关键词 Solar Terms Medical Terms Big Data
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