试论劳动法的道德观

劳动法的道德观,主要涉及劳动法所蕴含的道德理念、道德在劳动法中的正确定位以及法律与道德正态关系的构建等一系列问题。劳动法应当以劳动尊严、劳资共赢理念作为其追求的最高伦理目标。为了合理把握劳动法的道德定位,劳动法的道德取向应以保障和实现公民的基本人权(劳动权)为伦理基础,劳动法的道德规范应以劳动者为基本主体和主要视角,劳动法的道德标准应以略高于最低限度道德要求的标准作为其确立尺度。为了建立起劳动法与道德良性互动、相辅相成的正态关系,当前应当着重把握和处理好法律与道德之间互相区隔、转化和融合等几对关系。     

概念卡通及其在教学中的应用

概念卡通是由英国基奥和纳依拉于1992年作为一种教学工具提出的,之后逐步发展为一种教学策略,并在多学科中运用。通过卡通图画或利用多媒体插入动漫卡通的可视方式,将学生日常生活中前概念融入某种科学概念当中,凭借卡通角色对话引起学生认知冲突,从而使学生进一步理解、探究、重组科学概念。概念卡通能用作教学导入、教学效果检测,还可作为组织课堂教学的教具,它为课堂导入、组织课堂教学、评测儿童前概念提供了新的视角与新的方法。     

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。     

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。     

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.     

谈21世纪高校图书馆创新模式

信息技术的快速发展给图书馆工作带来了机遇与挑战,只有在观念、管理及服务等方面进行大力创新,才能极大地丰富图书馆服务内容,强化图书馆能力,进而创造出图书馆最佳的社会效益和经济效益.