贫困地区师资专题培训模式及创新实践     

吴斌  范太华  高庆元  赵辉 《继续教育研究》2021,(12):29-32

教育扶贫是国家赋予高校的社会职责,提升贫困地区职业教育和基础教育办学水平是实现高质量教育扶贫的最有效方式.根据贫困地区教育相对薄弱的实际,应以职业教育和基础教育师资专题培训项目为载体,以高校优质教育资源和人才培养优势为依托,针对当地师资队伍学历提升、教学能力、信息化素养、办学水平等具体情况,科学设计培训方案、创新培训模式,精准施策,提高整体教育质量,实现教育扶贫,主动作为脱贫攻坚、乡村振兴等国家战略.  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   

基于专利引用跨越度计量的两国间间接创新合作机会发现     

李睿  青杨媚  范九江 《图书情报工作》2021,64(23):31-39

[目的/意义] 两个国家间的创新合作机会有些是显性直接的，有些是潜在间接的。在此试图构建一种计量和分析专利引用关系的方法，用于发现两国间潜在的间接创新合作机会。[方法/过程] 全球价值链上不同环节专利之间的引用关系中，蕴含着相互衔接、配套的间接合作关系，而不同环节的专利通常具有不同的功能，即IPC存在一定跨越度。因此，设计"专利引用跨越度"指标及算法，用于计量和筛选专利引用网络中"引用跨越度"达到预设阈值的专利引用关系，作为发现间接创新合作机会的基础数据。以新加坡在中国获得授权的发明专利为样本，基于专利引用跨越度计量并配合人工解读和识别，发现中新两国间一系列的间接创新合作机会。[结果/结论] 基于专利引用跨越度计量的两国间间接创新合作机会发现的方法，被实验检验为有效。  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   

知识找回场景下推荐系统模拟实现及评价研究     

程秀峰  张孜铭  孟亚琪  范晓莹  杨金庆 《图书情报工作》2019,63(16):72-83

[目的/意义]信息过载一直是知识工作者在搜集、处理和创造知识的过程中所面临的主要困境。这种困境导致的结果之一是很难回忆起曾经使用过的文档的内容细节及具体位置，而推荐系统则能减少这样的困难。通过研究对比不同推荐系统在这一任务下的优缺点，可以帮助知识工作者更好地完成回忆任务。[方法/过程]基于相关理论，在同一场景（知识找回）模拟实现并测试了4种不同类型的推荐过程，包括基于内容的推荐CBR、基于协同过滤的推荐CFR、基于推理网络的推荐INR与融入了情境感知的推荐CAS，根据所确定的若干指标（精确性、情境相关性、预测性、多样性）对推荐效果进行比较。[结果/结论]结果显示，以上推荐系统在帮助用户回忆并找回文档过程中都有各自的优势，而基于情境感知的推荐系统在情境相关性与预测用户行为方面具有较好的效果。  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