‘I would say nine times out of 10 they come to the LSA rather than the teacher’. The role of teaching assistants in supporting children's mental health

This research explored how seven primary school teaching assistants (TAs) experienced their role in supporting children's mental health. Interviews were analysed using Interpretative Phenomenological Analysis (IPA). The participants believed that they supported children's mental health and particularly referenced the close relationships that they formed with children. Throughout their accounts of supporting children, the TAs referenced helpful factors (e.g. support from other staff) and challenges (e.g. hierarchy) within the school system. Supporting children’s mental health was an emotional experience for the TAs; they discussed the rewarding element, however, the topic also elicited fear. The findings provide several implications for school staff and external professionals about how TAs can be supported in their role. These include involving TAs in training opportunities, providing TAs with supervision, considering communication systems in schools, and introducing a mental health policy.     

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prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove).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.     

Discrete Choice Modeling in Education: An Innovative Method to Assess Teaching Practices

Self‐reported measures are an easy, time‐efficient, and low‐cost way to collect research data compared to other assessment methods. They are, however, characterized by several limitations regarding the quality and the clarity of the data they produce, especially when they are implemented in education. The main purpose of the current study was to use a method called discrete choice modeling (DCM) in education, in order to develop a self‐reported instrument that will reduce the bias for socially desirable responses and to assess teachers’ practices in physical activity. DCM method has the ability to overcome the respondents’ tendency to answer in a socially desirable way. A nationally representative sample of 531 Greek early educators participated in this study and were administered a self‐assessment questionnaire based on DCM. Results showed that the DCM based newly developed instrument manages to assess effectively educators’ practices and provided evidence of the applicability of the method in education. Further implications and future recommendations regarding the effective application of DCM in education are discussed.     

图书馆科普教育现状与发展路径探究——基于25个省市88家科普教育基地调查

[目的/意义] 图书馆肩负着实施科普教育的法定职责，拥有品种多样、内容丰富的科普文献与信息资源的图书馆，在开展科普教育方面具有得天独厚的优势。图书馆科普教育起步比较早，2005年，中国图书馆学会成立科普与阅读指导委员会；但在图书馆业界，科普教育只是零星的点缀式服务创新探索，尚未成为常态化服务项目。在依法治馆、创新发展的新时代，寻求图书馆科普教育发展路径具有较强理论和实践意义。[方法/过程] 通过互联网、微信等社交网络平台，对图书馆科普教育基地建设的状况进行调研，从基地等级、基地类型、基地数量、区域分布、有效期限以及认定依据等方面进行深入分析，并对图书馆实施科普教育提出发展路径以供选择。[结果/结论] 图书馆科普教育应坚持基地建设与科普服务相结合、阅读推广与全民科普相融合、科普与游学并举等策略，走设施、资源、服务"三位一体"的持续稳健协调发展之路。     

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。     

图书情报学领域学科交叉及其国家差异的动态分析

[目的/意义]领域知识的跨学科交叉研究能够打破学科间的壁垒,有助于发现重大科学问题的解决方案。[研究设计/方法]基于图书情报学领域文献题录信息构建轻量级领域知识图谱,从中提取学科信息、国家信息、时间信息及其关联,采用时间与空间相结合的多维度分析方法,对学科交叉的演化进程以及国家差异进行跟踪与分析。[结论/发现]图书情报学领域内学科交叉现象日渐显著,各国家的学科交叉程度与倾向存在差异,一些目前尚不突出的交叉学科方向值得关注。[创新/价值]采用多维度视角分析学科交叉现象,相关结论可以为国家科技战略制定及学科发展规划提供有益参考。     

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.     

浅谈武术套路训练对青少年身心发展的影响

本文采用文献综述法和逻辑分析方法,通过对武术神、意、气与动作内外相结合,使身心达到愉悦、全面的发展。武术训练对人的力量、灵敏、柔韧等身体素质的发展都有良好影响,强健体魄,缓解压力,保持一个舒畅愉快的心情。武术套路的训练不仅能塑造强健的身体,而且也承载着道德文化修养和精神传承的历史重任,经过研究和调查,很多青少年通过武术套路训练,提高了其自身的身体素质和顽强不屈的精神品格。     

小学体育兴趣化游戏教学的多维性探索

随着新一轮教改工作在我国全国范围内的深入开展,体育已经成为各地小学素质教育工作中的重点内容。就目前来看,为进一步提高小学体育教学效率,兴趣化游戏教学已经逐步被引入实际教学工作中,该教学模式可以冲破传统教条主义教学思维的拘束,进一步提高学生对学习的兴趣,使被动学习转变为主动学习,从而更好地实现当今时代小学体育教学工作目标。     

高中篮球模块教学的实践与探索

随着体育的发展,模块教学理念深入学校的体育教学之中。模块教学是以学生为主体的教学模式,学生能够根据自己的特长和爱好选择适合自己的体育运动项目,从而保障了学习体育的积极性。针对于今天的教学来说,教师的教学目的一定不是单纯地去追求学生的学习成绩,今天随着新课标的不断深入,教师需要把以往从学生纯净的追求转变为对于学生综合素养的追求。这个时候体育学科的重要性就会有所体现,身体是革命的本钱,学生在学习的过程中一定要有一个好的身体素质,只有这样他们才能够更好地应对接下来的生活。