文化功能视角下江口“金钱杆”的发展逻辑研究     

陈伟 《中华武术(研究)》2021,(1):119-121

文化功能也就是"出之于人,归之于人",江口土家族"金钱杆"起于秦末时期的西楚霸王,形于族人生产生活实践中。经过研究发现,"金钱杆"是具有彰显土家族文化的独特符号、"常"与"非常"之间转换的独特节点、教化孩童的重要载体以及增强体质的独特途径的少数民族传统体育活动。本研究主要探求"金钱杆"发展逻辑,旨在为"金钱杆"的传承和发展提供有益的指导。  相似文献   

高校健身气功课程探析     

李盛唐  刘琛  王德忠 《中华武术(研究)》2020,(4):125-128

健身气功作为一项民族传统体育项目,有着悠久的历史,具有养生、促进身心健康的功效。本文运用文献资料法等研究方法对我国高校健身气功课程建设情况进行研究分析,探析高校健身气功课程建设过程中存在的问题,并且对这些问题提出相关的建议和对策,希望能够为高校健身气功课程更加合理、科学的开设提供理论参考。  相似文献   

数据驱动视野下高校智慧图书馆建设及服务规划——兼论“十四五”时期智慧图书馆发展路径     

邵波  许苗苗  王怡 《图书情报工作》2021,65(1):41-46

[目的/意义] 在科研全面数据化和“十四五”规划的背景下，高校图书馆建设方向和路径对教学和科研具有重大影响，本文旨在提出图书馆智慧化转型的下一步落地和实践思路。[方法/过程] 梳理高校图书馆发展现状，解析发展新态势，以数据意识为出发点，尝试构建智慧图书馆在技术、服务、空间等方面的发展方案。[结果/结论] 智慧图书馆的建设应重点在智能设备、智慧服务平台和智慧空间上“下深功”，此外还需在馆员角色和联盟建设上深入思考。  相似文献   

Key factors and network model for location-based cultural mobile game design     

Ruo-Yu Li  Chang-Hwa Wang 《British journal of educational technology : journal of the Council for Educational Technology》2020,51(6):2495-2512

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竞技武术套路科学化训练现状研究     

荣磊  王志辉 《中华武术(研究)》2020,(1):121-123

随着国家对武术发展的大力支持,近几年竞技武术赛事增多,对运动员提出了更高的要求。本文通过文献资料法、逻辑分析法、观察法等研究方法,从竞技武术套路训练现状的角度入手,分析了当今中国竞技武术套路训练现状,新规则对竞技武术套路及运动员的影响,并在此基础上提出了对策:加强竞技武术套路运动科学化训练,加强武术训练与科研的合作。  相似文献   

新时代我国体育消费力提升研究     

孙威  王晓辉 《沈阳体育学院学报》2020,(3):49-55

当前我国体育消费力较弱,亟需通过研究提升体育消费力。运用文献资料、逻辑分析等方法,依据马克思消费力理论提出并解析了体育消费力的4要素及其现实情况:体育供给不到位导致消费品难以满足需求、居民收入不平衡限制消费者的支付能力、体育环境不规范阻滞良好消费氛围的形成、体育消费者不成熟拉低消费力的整体水平。体育消费力提升路径:以供给侧结构性改革为主线有效优化体育供给力,以拓宽人民增收渠道为手段动态平衡居民可支配收入,以完善市场化引导监督机制为动力合理规范体育社会环境,以强化消费者要素整合能力为抓手全面提升体育消费者成熟度。  相似文献   

A Web-Based Virtual Microscopy Platform for Improving Academic Performance in Histology and Pathology Laboratory Courses: A Pilot Study     

Bai-Chin Lee  Sung-Tsang Hsieh  Yih-Leong Chang  Fen-Yu Tseng  Yu-Jung Lin  Yuh-Lien Chen  Shu-Huei Wang  Yu-Fong Chang  Yi-Lwun Ho  Yen-Hsuan Ni  Shan-Chwen Chang 《Anatomical sciences education》2020,13(6):743-758

Virtual microscopy (VM) has been utilized to improve students' learning experience in microscope laboratory sessions, but minimal attention has been given to determining how to use VM more effectively. The study examined the influence of VM on academic performance and teacher and student perceptions and compared laboratory test scores before and after VM incorporation. A total of 662 third-year students studying histology and 651 fourth-year students studying pathology were divided into two groups. The light microscopy (LM) group used a light microscope in 2014 and 2015, while the LM + VM group used the VM platform and a light microscope in 2016 and 2017. Four factors positively predict laboratory scores (R square, 0.323; P < 0.001): (i) the pathology course and test-enhanced learning, (ii) the VM platform and experience, (iii) medical students and lecture scores, and (iv) female students. The LM + VM group exhibited less score variability on laboratory examinations relative to their mean than the LM group. The LM + VM group was also associated with fewer failing grades (F grade; odds ratio, 0.336; P < 0.001) and higher scores (A grade; odds ratio, 2.084; P < 0.001) after controlling for sex, school, course, and lecture grades. The positive effect of the VM platform on laboratory test grades was associated with prior experience using the VM platform and was synergistic with more interim tests. Both teachers and students agreed that the VM platform enhanced laboratory learning. The incorporation of the VM platform in the context of test-enhanced learning may help more students to master microscopic laboratory content.  相似文献   

体力活动、静坐行为与学前儿童体质健康的关系     

常振亚  王树明  张晓辉 《学前教育研究》2020,(3):42-56

体力活动和静坐行为是影响儿童早期体质健康的重要因素。本研究以152名学前儿童为被试,使用三轴加速度计测量体力活动和静坐行为,使用儿童型人体成分分析仪测量身体成分,使用《国民体质测定标准(幼儿部分)》测评身体素质,使用相关分析、多元回归分析和等时替代回归分析对它们之间的关系进行探究,结果发现在控制了性别、年龄、城乡、佩戴时间和静坐行为等因素后,中高强度体力活动尤其是高强度体力活动对去脂体重指数和身体素质(十米折返跑、立定跳远、双脚连续跳、走平衡木)依然具有显著影响;高强度体力活动替代其他强度体力活动或不同强度体力活动替代静坐行为后,去脂体重指数均有所提升;身体素质变化仅在高强度体力活动替代其他强度体力活动和静坐行为时具有方向一致性和显著性。家长和教师应充分重视中高强度体力活动尤其是高强度体力活动与学前儿童体质健康的紧密联系,促进学前儿童静坐行为和低强度体力活动向中高强度体力活动适度转化,以提升学前儿童下肢肌肉力量素质和灵敏素质等方面的体质健康水平。  相似文献   

English Learning under the Context of Globalization     

杨柳枫  熊伟 《海外英语》2021,(2)

In contemporary,globalization is advancing at an unprecedented rate in multitude arenas.Globalization has brought us to contact with the culture,customs and thinking of countries around the world.English learning under the context of globalization has been changed to some extent.Globalization is exuberant,specific learning instead of systematic learning is what is necessitated.  相似文献   

Using semantic similarity to reduce wrong labels in distant supervision for relation extraction     

Chengsen Ru  Jintao Tang  Shasha Li  Songxian Xie  Ting Wang 《Information processing & management》2018,54(4):593-608

Distant supervision (DS) has the advantage of automatically generating large amounts of labelled training data and has been widely used for relation extraction. However, there are usually many wrong labels in the automatically labelled data in distant supervision (Riedel, Yao, & McCallum, 2010). This paper presents a novel method to reduce the wrong labels. The proposed method uses the semantic Jaccard with word embedding to measure the semantic similarity between the relation phrase in the knowledge base and the dependency phrases between two entities in a sentence to filter the wrong labels. In the process of reducing wrong labels, the semantic Jaccard algorithm selects a core dependency phrase to represent the candidate relation in a sentence, which can capture features for relation classification and avoid the negative impact from irrelevant term sequences that previous neural network models of relation extraction often suffer. In the process of relation classification, the core dependency phrases are also used as the input of a convolutional neural network (CNN) for relation classification. The experimental results show that compared with the methods using original DS data, the methods using filtered DS data performed much better in relation extraction. It indicates that the semantic similarity based method is effective in reducing wrong labels. The relation extraction performance of the CNN model using the core dependency phrases as input is the best of all, which indicates that using the core dependency phrases as input of CNN is enough to capture the features for relation classification and could avoid negative impact from irrelevant terms.  相似文献