新时期美国大学图书馆馆舍建设趋势

近年来,随着数字化时代的到来,美国大学图书馆馆舍建设并非如一些悲观者所言的那样已经削减,而是稳步发展。这些竣工的图书馆,创造了与以往建筑不同的风格,充满了新技术的因素和以人为本的特点,依靠强大的技术支持和信息资源为所有人提供了正式和非正式交流的空间,受到了读者的欢迎。     

Investigating Identity: Gender,Overseas Experience,and Japanese Youth

Identity is prominent in academia, despite it being difficult to define and measure due to its dynamic and multifaceted nature. In Japan, awareness of the make-up of Japanese youth is increasingly crucial as Japan becomes a more internationalized and ageing society. This paper examines, by identity mapping and discriminant analysis, the cultural identities of 94 Japanese youth. While strong Global identities separated the respondents with from without overseas experience, ties to National identities and Relationships were found respectively for males and females. This paper suggests that regarding the study of cultural identities, gender does matter – at least in Japan.     

网络知识组织系统表示语言:SKOS

网络知识组织系统(NKOS)可用于网络信息资源的组织和检索,弥补目前基于文本匹配的组织检索系统的缺陷。简单知识组织系统(SKOS)是W3C于2004年发布的新的网络知识组织系统表示语言,尽管目前还处于不成熟的发展阶段,但它的简单易用、适用范围广等优越性已经引起广泛注意;同样,SKOS作为W3C推荐的受控词表的表示标准,在促进受控词表的实际应用等方面有着非同寻常的意义。该文在NKOS的背景下详细介绍SKOS标准,并简单分析SKOS与其他知识组织系统表示语言的差异,然后举例部分SKOS现有应用,最后对SKOS及NKOS的应用加以展望。     

念动教学法在体育教学中的应用研究

本文就念动教学中如何使学生根据直观形象的动作表象和教师精炼的讲解,得以先想后练、边想边练、想练结合等作了具体教学实验。其结果表明,念动教学法可以达到缩短教学时间,提高教学效果和运动成绩的目的。     

基于资本项目的纳斯达克中国网络概念股竞争力比较分析

运用因子分析方法,针对NASDAQ中的13家中国网络概念股企业,就一些资本、财务方面的指标,进行了比较分析,提出了网络企业应该重视赢利能力培养的意见。     

基于合作全球图的专利国际合作分析

为辅助国际合作分析与管理,提出合作全球图。经过分析现有网络图、网络地理组合图,合作全球图将合作网络图融合全球地理图,以点的大小表示合作次数,用边揭示合作行为,在全球地理图上完整显示国际合作网络信息。实验表明,锂电池专利合作全球网络中,国家合作被北美合作网络、西欧合作网络、东亚合作网络主宰,美国、德国、法国、日本、韩国、中国是当之无愧的六强霸主,Centre Nat,Univ Tsinghua分别位居申请人合作的冠亚军。由此可见,合作全球图有助于国际合作分析、国际合作管理等。     

综合英语课程教学的认知转向探索

受认知诗学理论的影响,综合英语课堂教学将更加注重学生的学习心理过程和学习效果。认知诗学语境下的概念型教学法除了关注英汉对比意识在学生思维中的养成,在综合英语教学中将更多地聚焦于以概念为中心的单元主题在学生认知过程中的内化。概念型教学法的五个教学步骤,即解释、物化、交际活动、言语化、内化,可以有效地将教学内容前景化以提高学生学习效果,并有助于培养学生创造性的学习和批判性思维的养成。     

The development of students critical thinking abilities and dispositions through the concept mapping learning method – A meta-analysis

Our meta-analysis investigates the effectiveness of the concept mapping method compared with the traditional teaching method, for the improvement of critical thinking ability and disposition outcomes. We included studies measuring students' critical thinking through standardised tests, comparing an experimental (concept mapping) group with a control (traditional teaching) one. Effect sizes for critical thinking ability and disposition outcomes were pooled with a random-effects model. We included in our meta-analysis 21 studies (108 comparisons) involving 1695 students. The concept mapping method was more effective than the traditional teaching method at posttest for the improvement of critical thinking ability (g = 0.531, 95% CI 0.279 to 0.783) and disposition (g = 0.648, 95% CI 0.266 to 1.031). Heterogeneity was moderate to high, Egger's test did not indicate any evidence of publication bias; however, both visual inspection of the Funnel plot and Duval and Tweedie's trim and fill method indicated potentially three missing studies for critical thinking ability and two for critical thinking disposition. Additionally, we analysed the potential moderating effect of students' demographic characteristics, educational conditions, concept mapping elaboration methods and allocation type. Allocation type was a significant moderator, having a strong effect on concept mapping for critical thinking abilities in randomised studies (g = 0.739, 95% CI 0.356 to 1.122), but its effect is low in non-randomised studies (g = 0.265, 95% CI 0.014 to 0.517).     

Information resources estimation for accurate distribution-based concept drift detection

Machine learning applications must continually utilize label information from the data stream to detect concept drift and adapt to the dynamic behavior. Due to the computational expensiveness of label information, it is impractical to assume that the data stream is fully labeled. Therefore, much research focusing on semi-supervised concept drift detection has been proposed. Despite the large research effort in the literature, there is a lack of analysis on the information resources required with the achievable concept drift detection accuracy. Hence, this paper aims to answer the unexplored research question of “How many labeled samples are required to detect concept drift accurately?” by proposing an analytical framework to analyze and estimate the information resources required to detect concept drift accurately. Specifically, this paper disintegrates the distribution-based concept drift detection task into a learning task and a dissimilarity measurement task for independent analyses. The analyses results are then correlated to estimate the required number of labels within a set of data samples to detect concept drift accurately. The proximity of the information resources estimation is evaluated empirically, where the results suggest that the estimation is accurate with high amount of information resources provided. Additionally, estimation results of a state-of-the-art method and a benchmark data set are reported to show the applicability of the estimation by proposed analytical framework within benchmarked environments. In general, the estimation from the proposed analytical framework can serve as guidance in designing systems with limited information resources. This paper also hopes to assist in identifying research gaps and inspiring new research ideas regarding the analysis of the amount of information resources required for accurate concept drift detection.     

计算机文化基础教学的重要性及概念图运用研究

随着计算机技术以及信息技术的快速发展与普及,用人单位对办公自动化的要求也逐渐提高,其中“计算机文化基础”课程教学,在提高学习者计算机素质中的重要性是不言而喻的。概念图是一种新型的教学策略与教学工具,通过其在计算机文化基础教学中的运用,不仅能够辅助教学内容的设计,充分展示与分析教学内容,还能对计算机文化基础教学进行评价,优化教学的过程,提高教学效果。