一流大学建设高校海归教师科研表现自我评价的调查分析

高校海归教师是归国留学人员的重要组成群体,他们知识储备丰富、国际化视野宽广。本研究基于跨文化再适应视角,采用问卷调查的方式,对41所一流大学建设高校的1417名海归教师回国后的科研表现及其主要影响因素进行调查分析。调查结果显示,海归教师对其在课题申报和成果发表方面的评价不高;其在海外学习和工作期间的适应情况、对院系工作氛围的认同程度以及与海外导师、同事或同门开展合作的频率,对海归教师的科研表现具有显著的正向影响。     

后保管时代建设项目原始信息档案化的研究应用——基于建设项目管理者的业务驱动型电子档案管理

《建设项目电子文件归档和电子档案管理暂行办法》的施行,标志着我国建设项目档案管理迈进了以电子档案为主的后保管时代;后现代主义哲学家德里达关于记忆的档案化理论对建设项目电子档案管理具有指导意义.论文从档案形成者角度提出的“原始信息档案化”,从电子档案形成主体和原始信息两个源头保证电子档案的真实性,其本质是对信息的实时采集和标准化管理,关键是法规遵从性机制与透明化体系的契合,目标是形成真实、完整、全息的电子档案.     

面向学术图书的Altmetrics指标分析

[目的/意义] 探讨Altmetrics指标对学术图书影响力进行评价的有效性,为学术图书评价工作提出合理建议。[方法/过程] 获取Twitter提及量、Mendeley阅读量、在线书评数量以及馆藏量指标数据,对数据集的覆盖率、分位数等统计量分析后,将被引频数与Altmetrics指标进行了指标间相关系数检验,再对高Altmetrics指标值的学术图书进行年份分布、学科差异及图书主题等实证分析,探究各指标在学术图书影响力评价中的应用。[结果/结论] 传统计量指标被引频数与Altmetrics指标之间的相关性较低,说明Altmetrics可以作为学术图书评价的一个新视角,不同Altmetrics指标反映了学术图书影响力的不同维度。未来的学术图书影响力评价建议结合学术图书的年份、学科等特征,将传统的引文与Altmetrics指标相结合,探索更全面有效的评价机制。     

Search boundaries: human flesh search,privacy law,and internet regulation in China

This research examines privacy law and Human Flesh Search (HFS) on the Chinese Internet. HFS is spontaneous, widely participated search and publication of targeted individuals’ personal information on the Internet. This research sees HFS as an important form of non-institutional information gathering and publication, and argues that the regulation of HFS is not only about privacy but also line-drawing for information collection and dissemination in the digital setting. Therefore, legal instruments and court cases in relation to HFS and online privacy must be assessed as important components of the Chinese state’s Internet regulatory scheme. This research finds that the paired concepts of ‘flexibility and populism,’ key features of legal reform and development in contemporary China, are highly relevant to analyze the growth of digital privacy laws in China. The political-legal authorities’ experimentation and innovation in the development of the law shed important light on how China’s Internet governance adapts to changing circumstances and strives to keep pace with profound social transformations in new technological environments.     

Neuroanatomy Learning: Augmented Reality vs. Cross-Sections

Neuroanatomy education is a challenging field which could benefit from modern innovations, such as augmented reality (AR) applications. This study investigates the differences on test scores, cognitive load, and motivation after neuroanatomy learning using AR applications or using cross-sections of the brain. Prior to two practical assignments, a pretest (extended matching questions, double-choice questions and a test on cross-sectional anatomy) and a mental rotation test (MRT) were completed. Sex and MRT scores were used to stratify students over the two groups. The two practical assignments were designed to study (1) general brain anatomy and (2) subcortical structures. Subsequently, participants completed a posttest similar to the pretest and a motivational questionnaire. Finally, a focus group interview was conducted to appraise participants’ perceptions. Medical and biomedical students (n = 31); 19 males (61.3%) and 12 females (38.7%), mean age 19.2 ± 1.7 years participated in this experiment. Students who worked with cross-sections (n = 16) showed significantly more improvement on test scores than students who worked with GreyMapp-AR (P = 0.035) (n = 15). Further analysis showed that this difference was primarily caused by significant improvement on the cross-sectional questions. Students in the cross-section group, moreover, experienced a significantly higher germane (P = 0.009) and extraneous cognitive load (P = 0.016) than students in the GreyMapp-AR group. No significant differences were found in motivational scores. To conclude, this study suggests that AR applications can play a role in future anatomy education as an add-on educational tool, especially in learning three-dimensional relations of anatomical structures.     

Learning through artful knowing

Unfinished and ongoing exploration, Oil Painting, 1.30?*?1?m, September 2015.     

我国图书情报领域期刊论文的科学数据引用特征研究

[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。