Facilitating flexible learning by replacing classroom time with an online learning environment: A systematic review of blended learning in higher education

Higher education institutions are trying to provide more flexibility and individualization, which is mainly realized through the use of new technologies and implemented in online or blended learning designs. This systematic review aims to investigate the impact of replacing classroom time with an online learning environment. The meta-analysis (k = 21 effect sizes) applied strict inclusion criteria concerning research design, measurement of learning outcomes and implementation of blended learning. The estimated effect size (Hedge's g) was positive, although not significantly different from zero and the confidence interval [-0.13, 0.25], suggesting that overall differences between blended and conventional classroom learning are small, and, at best, very small negative or moderate positive effects are plausible. This means that despite a reduction in classroom time between 30 and 79 per cent, equivalent learning outcomes were found. Consequently, blended learning with reduced classroom time is not systematically more or less effective than conventional classroom learning.     

The RIX Wiki: the use of multimedia advocacy to support person-centred planning in a special needs secondary school – implications for current policy and practice

The article documents findings from a pilot study undertaken in 2012–2013 in a special needs secondary school in the England, that trialled the use of a multimedia advocacy tool, “The RIX Wiki”. The trial was part of the pathfinder programme, which aimed to reform existing Special Education Needs provision, from the system of statementing to one of developing education health care plans. The reforms became enshrined in the Children and Families Act (2014). The findings were overall positive and helped with person-centred planning processes. The discussion is framed within current and future policy directives. We argue that multimedia advocacy approaches and software tools, like the “RIX Wiki” will have a continued role to play in ensuring the needs, aspirations and choices of children and young people with learning disabilities remain central.     

高职院校学习预警平台的构建及其实证分析

开展信息化、智慧化预警工作是实现全面精准育人的重要途径,而预警应用平台无疑是预警工作的有力工具和实践载体,其设计方案应用效果的好坏直接决定着学习预警信息化愿景的达成度。文章在分析高职院校学习预警工作现状的基础上,从工作流程设计、平台框架设计和平台建设方法等3个方面提出了解决方案,并对平台的应用效果进行了实证分析,结果表明:平台的应用扩展了预警范围、提升了预警的精准度和时效性、提高了工作效率,且干预更为灵活、个性化,可为当前高职院校学习危机的实践改革提供新思路。     

河南女性作家的崛起与当代文学中的“中原经验”

女性作家群体的崛起是河南文坛的新现象。以邵丽、乔叶为代表的女性作家最初大胆书写女性情感经验,接受后现代主义观念,质疑由男性作家主导的本质化宏大叙事,为河南文学提供了新的面相,冲击了当代文学中以表现乡土苦难、批判乡村权力见长的"中原经验"。女性作家的创作在走向成熟的过程中,逐渐摆脱了单向度的女性意识表达,对社会历史的复杂性有了深入的体认,开始直面城镇化转型中的中原大地现实,创作出了社会关怀强烈、生活观照深入、情感指向博大的作品,较好地丰富了当代文学中的"中原经验"。     

Quality flaw prediction in Spanish Wikipedia: A case of study with verifiability flaws

In this work, we present the first quality flaw prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove). Based on the underlying characteristics of each flaw, different state-of-the-art approaches were evaluated. For articles not citing any references, a well-established rule-based approach was evaluated and interesting findings show that some of them suffer from Refimprove flaw instead. Likewise, for articles that need additional citations for verification, the well-known PU learning and one-class classification approaches were evaluated. Besides, new methods were compared and a new feature was also proposed to model this latter flaw. The results showed that new methods such as under-bagged decision trees with sum or majority voting rules, biased-SVM, and centroid-based balanced SVM, perform best in comparison with the ones previously published.     

基于深度学习的中文专利自动分类方法研究

[目的/意义] 面向当前国内专利审查和专利情报分析工作中对于海量专利分类的客观需求，设计了7种基于深度学习的专利自动分类方法，对比各种方法的分类效果，从而助力专利分类效率和效果的提升。[方法/过程] 针对传统机器学习方法存在的缺陷，基于Word2Vec、CNN、RNN、Attention机制等深度学习技术，考虑专利文本语序特征、上下文特征以及分类关键特征，设计Word2Vec+TextCNN、Word2Vec+GRU、Word2Vec+BiGRU、Word2Vec+BiGRU+TextCNN等7种深度学习模型，以中国专利为例，选取IPC主分类号的"部"作为分类依据，对比这7种模型与3种传统分类模型在中文专利分类任务中的效果。[结果/结论] 实证研究效果显示，采用考虑语序特征、上下文特征及强化关键特征的深度学习方法进行中文专利分类具有更优的分类效果。     

消费时代澳门半岛滨水空间形态重塑

随着消费社会的深化发展,现代消费已成为影响城市空间形态演化的重要因素。以此为出发点,以消费文化的视角来考察城市空间,揭示20世纪80年代以来澳门半岛滨水空间形态的演化特征。研究表明:消费时代,城市主要根据经济诉求组织空间的生产,借助资本的熔铸,澳门半岛滨水空间建设呈现出博彩旅游化、高层豪宅化和空间巨构化等特征,并最终实现空间形态的重塑。在此基础上进行批判性反思,如城市消费空间与传统城市意象的协调发展、城市空间的阶级化和滨水空间的公共性等问题。     

新时代我国少数民族地区体育公共服务分层治理研究

采用文献资料法等研究方法对新时代我国少数民族地区体育公共服务分层治理进行研究，旨在为提高我国少数民族地区体育公共服务质量和建设体育强国提供建议。研究认为，少数民族地区体育公共服务分层治理是基于我国社会分层的现状以及各阶层体育需求和参与特征存在的差异而采取的差异性治理方式，分层治理有"因层制宜"的意蕴，有利于促进我国少数民族地区体育公共服务均等化和改变少数民族地区体育公共服务"供给不足"和"供非所需"的困境。现阶段我国少数民族地区体育公共服务分层治理的思路包括明确少数民族地区体育公共服务分层治理主体责任、完善少数民族地区体育公共服务分层治理资金保障机制、积极探索少数民族地区体育公共服务分层供给方式、构建少数民族地区体育公共服务分层治理协商机制、建立少数民族地区体育公共服务分层供给绩效评价体系。     

An analysis of review content and reviewer variables that contribute to review helpfulness

Review helpfulness is attracting increasing attention of practitioners and academics. It helps in reducing risks and uncertainty faced by users in online shopping. This study examines uninvestigated variables by looking at not only the review characteristics but also important indicators of reviewers. Several significant review content and two reviewer variables are proposed and an effective review helpfulness prediction model is built using stochastic gradient boosting learning method. This study derived a mechanism to extract novel review content variables from review text. Six popular machine learning models and three real-life Amazon review data sets are used for analysis. Our results are robust to several product categories and along three Amazon review data sets. The results show that review content variables deliver the best performance as compared to the reviewer and state-of-the-art baseline as a standalone model. This study finds that reviewer helpfulness per day and syllables in review text strongly relates to review helpfulness. Moreover, the number of space, aux verb, drives words in review text and productivity score of a reviewer are also effective predictors of review helpfulness. The findings will help customers to write better reviews, help retailers to manage their websites intelligently and aid customers in their product purchasing decisions.