场馆学习项目评价指标体系研究 ——基于场馆中教学项目的探索     

苟江凤  王楠 《电化教育研究》2021,42(2):99-105

随着非正式学习概念的出现,场馆学习作为自然情境下发生的一种非正式学习行为,逐渐受到广泛关注.在基于场馆的项目学习中,由于学习者对学习目标、学习行为、学习路径拥有完全自主的控制权,如何对场馆中的教学项目进行评估成为研究者关注的重点.基于此,研究以构建场馆学习项目评价指标体系为目的,从场馆中教学项目评价问题出发,对场馆学习项目的含义进行界定,通过文献分析、比较研究和德尔菲法,在场馆学习项目评价现状综述的基础上,确定了包含5个一级指标、18个二级指标、57个三级指标的场馆学习项目评价指标体系.最后,采用层次分析法计算各个指标层次的权重,并对权重进行合理性分析,为我国场馆学习项目的实施提出相应的建议,促进我国场馆学习项目的发展.  相似文献   

PCSI:一种单篇论文被引频次标准化方法     

伍军红  肖宏  任美亚  冯士雍  丁哲 《图书情报工作》2020,64(23):22-30

[目的/意义] 文章的被引频次一直是量化评价一篇论文学术影响力的重要指标。但在不同学科不同年份发表的论文会因该领域研究论文数、引用滞后等因素呈现较大的差异。因此在对比两篇论文时，难以简单依据被引频次的绝对值来评判论文影响力大小。为此，本文设计了一个新的可计算数学模型，使得每篇论文可以有一个标准化的指标，以便对不同学科不同年份发表的论文的学术影响力进行直接比较。[方法/过程] 通过分析2006、2017两年中国科技类学术期刊各学科论文的被引频次分布规律，采用同学科论文被引频次的分布形态最接近对数正态分布的先设条件，提出一种被引频次标准化指数——Paper Citation Standardized Index （简称PCSI，中文"论文引证标准化指数"）。最后以中国科协优秀科技期刊论文评选结果为例，将它们与论文所属学科全部论文进行实证对比研究。[结果/结论] 结果证明，PCSI对不同年份、不同学科论文的被引频次进行了标准化，反映了被引频次的线性差距，是一种较为理想的单篇论文学术影响力比较评价工具。  相似文献   

我国图书馆新媒体移动服务的实践与探索——以中国科学院文献情报中心“中国科讯”为例     

李楠  赵亚娟  李涵昱  邹沐宏  谭一泓 《图书情报工作》2020,64(24):115-121

[目的/意义] 系统回溯国内图书馆新媒体移动服务研究的理论基础与实践案例，总结理论研究进展和实践应用中的共性特征与优势经验，剖析当前实践中存在的问题，并针对相关问题提出解决方案。[方法/过程] 以"中国科讯"为研究案例，总结其在服务路径、服务方式与服务能力方面的实践探索。[结果/结论] "中国科讯"有效解决了国内图书馆新媒体服务定位不明确、不清晰、不全面的三个问题。图书馆需要加快传统新媒体移动服务逐步向集成多种功能的新媒体移动服务转变。  相似文献   

Bio-inspired untethered fully soft robots in liquid actuated by induced energy gradients     

Liang Xiong Lyu  Fen Li  Kang Wu  Pan Deng  Seung Hee Jeong  Zhigang Wu  Han Ding 《国家科学评论(英文版)》2019,6(5):970

Soft robotics with new designs, fabrication technologies and control strategies inspired by nature have been totally changing our view on robotics. To fully exploit their potential in practical applications, untethered designs are preferred in implementation. However, hindered by the limited thermal/mechanical performance of soft materials, it has been always challenging for researchers to implement untethered solutions, which generally involve rigid forms of high energy-density power sources or high energy-density processes. A number of insects in nature, such as rove beetles, can gain a burst of kinetic energy from the induced surface-energy gradient on water to return to their familiar habitats, which is generally known as Marangoni propulsion. Inspired by such a behavior, we report the agile untethered mobility of a fully soft robot in liquid based on induced energy gradients and also develop corresponding fabrication and maneuvering strategies. The robot can reach a speed of 5.5 body lengths per second, which is 7-fold more than the best reported, 0.69 (body length per second), in the previous work on untethered soft robots in liquid by far. Further controlling the robots, we demonstrate a soft-robot swarm that can approach a target simultaneously to assure a hit with high accuracy. Without employing any high energy-density power sources or processes, our robot exhibits many attractive merits, such as quietness, no mechanical wear, no thermal fatigue, invisibility and ease of robot fabrication, which may potentially impact many fields in the future.  相似文献   

新冠肺炎疫情下专业图书馆科研新媒体服务探究——以中国科学院文献情报中心“中国科讯”为例     

李楠  张超  路璐  邹沐宏 《图书情报工作》2020,64(15):151-156

[目的/意义] 以中国科学院文献情报中心"中国科讯"为例，分析专业图书馆应急科学传播服务的举措及成效，为应急事件下专业图书馆科学传播服务提供借鉴。[方法/过程] 梳理新冠肺炎疫情期间"中国科讯"微信公众号推送的服务内容，从日均用户增长和阅读量分析用户对不同类型内容的关注程度，提出应急科学传播服务的思考。[结果/结论] 疫情期间，"中国科讯"日均用户增长明显，电子资源保障类内容阅读量最高，其次为新冠病毒科技攻关进展相关内容、科普类直播和信息素养教育直播观看人数达到数万人。应急事件下，专业图书馆应加强特色服务的宣传、加强信息甄选和审核机制，重大公共卫生事件下应急科学传播工作预案缺失也需引起重视。  相似文献   

体育侵权:自甘风险还是过失相抵     

李鼎 《武汉体育学院学报》2020,54(5):56-60

自甘风险和过失相抵是体育侵权案件中最常见的抗辩方式。前者将会免除加害人的赔偿责任,而后者只能按比例减少加害人的赔偿责任。虽然法律后果存在巨大差异,但目前对于体育侵权案件适用自甘风险,还是适用过失相抵,没有一个明确的标准,没有建构一套稳定的规则。从美国法的经验来看,通过对自甘风险进行分类来解决自甘风险和过失相抵的竞合问题,并不是一个成功的范例。实际上,自甘风险和过失相抵的主要区别在于受害人能否认知风险的存在。通过运动类型、违规程度、年龄和精神状况、参与的自愿性、专业程度等五个要素的综合考量,法官可以推知当事人的意思,进而从参加体育活动的行为来判断是否构成自甘风险,最终正确适用法律。  相似文献   

Depression and Anxiety in the Postnatal Period: An Examination of Infants’ Home Language Environment,Vocalizations, and Expressive Language Abilities     

Ruth Brookman  Marina Kalashnikova  Janet Conti  Nan Xu Rattanasone  Kerry-Ann Grant  Katherine Demuth  Denis Burnham 《Child development》2020,91(6):e1211-e1230

This longitudinal study investigated the effects of maternal emotional health concerns, on infants’ home language environment, vocalization quantity, and expressive language skills. Mothers and their infants (at 6 and 12 months; 21 mothers with depression and or anxiety and 21 controls) provided day-long home-language recordings. Compared with controls, risk group recordings contained fewer mother–infant conversational turns and infant vocalizations, but daily number of adult word counts showed no group difference. Furthermore, conversational turns and infant vocalizations were stronger predictors of infants’ 18-month vocabulary size than depression and anxiety measures. However, anxiety levels moderated the effect of conversational turns on vocabulary size. These results suggest that variability in mothers’ emotional health influences infants’ language environment and later language ability.  相似文献   

我国图书情报领域期刊论文的科学数据引用特征研究     

丁文姚  李健  韩毅 《图书情报工作》2019,63(22):118-128

[目的/意义] 探索期刊论文科学数据引用特征与规律不仅有助于描述学科领域对科学数据的利用情况，还能够揭示学术成果表达中的数据引用模式。[方法/过程] 以我国图书情报领域6种期刊2017年与2018年第一期刊载论文为样本，结合国家标准《信息技术科学数据引用》的引用元素，采用内容分析法从9个维度对样本论文的科学数据引用行为进行数据编码，应用统计学方法描述图书情报领域期刊论文科学数据引用特征并探索不同维度特征间的关联关系。[结果/结论] 图书情报领域期刊论文广泛引用来自国内外的统计整理类科学数据，对期刊论文中个人研究科学数据的引用量较大；科学数据引用标注方式与科学数据类型存在一定对应关系，但多样化的标注方式缺乏统一性；二手引用现象较为突出，二手引用程度与科学数据创建者类型相关。  相似文献   

基于用户兴趣度量的知识发现服务精准推荐     

丁梦晓  毕强  许鹏程  李洁  牟冬梅 《图书情报工作》2019,63(3):21-29

[目的/意义]针对当前知识发现服务中存在的个性化程度不高和推荐效果不佳等问题，提出一种基于用户兴趣度量和内容分析的推荐算法。[方法/过程]文章通过特征词分布、LDA主题分布、引文结构网络三个维度构建学术资源模型，并通过对用户行为的度量，计算用户对其浏览学术资源的兴趣度，结合学术资源模型构建用户兴趣模型。将用户兴趣模型与学术资源模型匹配，计算其相似度，得到用户对每条学术资源的兴趣值，最后将兴趣值最高的TOP-N学术资源推荐给用户。[结果/结论]通过实验检验算法的有效性和推荐准确率，结果显示，本文从实时动态度量兴趣的角度，提出的推荐算法能较好地预测用户兴趣，推荐效果显著，为实现发现服务精准推荐提供思路。  相似文献   

Coupled matrix factorization and topic modeling for aspect mining     

Ding Xiao  Yugang Ji  Yitong Li  Fuzhen Zhuang  Chuan Shi 《Information processing & management》2018,54(6):861-873

Aspect mining, which aims to extract ad hoc aspects from online reviews and predict rating or opinion on each aspect, can satisfy the personalized needs for evaluation of specific aspect on product quality. Recently, with the increase of related research, how to effectively integrate rating and review information has become the key issue for addressing this problem. Considering that matrix factorization is an effective tool for rating prediction and topic modeling is widely used for review processing, it is a natural idea to combine matrix factorization and topic modeling for aspect mining (or called aspect rating prediction). However, this idea faces several challenges on how to address suitable sharing factors, scale mismatch, and dependency relation of rating and review information. In this paper, we propose a novel model to effectively integrate Matrix factorization and Topic modeling for Aspect rating prediction (MaToAsp). To overcome the above challenges and ensure the performance, MaToAsp employs items as the sharing factors to combine matrix factorization and topic modeling, and introduces an interpretive preference probability to eliminate scale mismatch. In the hybrid model, we establish a dependency relation from ratings to sentiment terms in phrases. The experiments on two real datasets including Chinese Dianping and English Tripadvisor prove that MaToAsp not only obtains reasonable aspect identification but also achieves the best aspect rating prediction performance, compared to recent representative baselines.  相似文献