‘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     

Ida Conboy 《Support for Learning》2021,36(3):380-399

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.  相似文献   

The Mystery Room: discovering the flexibility of an information literacy-based educational escape room     

Glenn Koelling  Alyssa Russo 《Public Services Quarterly》2020,16(1):1-11

Abstract

The Mystery Room is an educational escape room based on information literacy and applied to multiple audiences, including first-year students and library student employees. In this article, we explain how we developed the game, its theoretical underpinnings, and why it’s a flexible workshop for a variety of audiences.  相似文献   

巧用概念图开展小学数学教学研究     

张伙金 《天津教育》2021,(4):80-81

概念图是小学课堂中重要的教学手段,它可以通过图片的形式,将数学知识点之间的联系表达出来,有利于培养学生的数学学科综合素养。本次研究根据小学生的特点,帮助学生培养运用概念图的习惯,以期获得良好的小学数学教学效果。  相似文献   

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

Edgardo Ferretti  Leticia Cagnina  Viviana Paiz  Sebastián Delle Donne  Rodrigo Zacagnini  Marcelo Errecalde 《Information processing & management》2018,54(6):1169-1181

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study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove).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

基于深度学习的中文专利自动分类方法研究   总被引：2，自引：0，他引：2  

吕璐成  韩涛  周健  赵亚娟 《图书情报工作》2020,64(10):75-85

[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。  相似文献   

Digital Module 16: Longitudinal Data Analysis     

Jeffrey R. Harring  Tessa L. Johnson 《Educational Measurement》2020,39(3):137-138

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.  相似文献   

普通高校大学生形体礼仪课程实践与研究     

胡晓华  李欣  范莉莉  董菲 《体育科技文献通报》2020,(6):86-86,114

利用体育教育自身所承载的文化内涵及其独有的实践特征,整合资源,优化课程,将过去不同学科的形体训练与大学生形体礼仪、行为规范教育有机的容为一体。开设大学生形体礼仪课,指导大学生在塑造健康匀称,曲线、姿态优美,气质高雅的外部形态的同时按照社交礼仪规范来约束自己行为,真正做到“诚于中而行于外,慧于心而秀于言”,把内、外美有机地统一起来。为全面提升大学生素质教育开辟新的渠道。  相似文献   

大学生孤独感对手机成瘾倾向的影响:生命意义感的调节作用     

陆娟  宫火良 《保定学院学报》2020,(3):95-100

为了探究大学生孤独感、手机成瘾倾向和生命意义感之间的关系,采用UCLA孤独量表、大学生手机成瘾倾向量表、人生意义感问卷,选取408名大学生作为被试进行问卷调查。结果发现:(1)孤独感与手机成瘾倾向呈显著性正相关,生命意义感与手机成瘾倾向呈显著性负相关,孤独感和生命意义感相关性不显著;(2)孤独感和生命意义感都显著预测手机成瘾倾向,生命意义感在孤独感和手机成瘾倾向之间的调节效应显著,低生命意义感大学生的孤独感对手机成瘾倾向的预测力更强。因此,大学生的孤独感能正向预测手机成瘾倾向,生命意义感能调节二者之间的关系,低水平的生命意义感会加剧孤独感对手机成瘾倾向的预测作用,而高水平的生命意义感会使孤独感对手机成瘾倾向的影响较小。  相似文献   

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

MSI Malik  Ayyaz Hussain 《Information processing & management》2018,54(1):88-104

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.  相似文献   

小学体育兴趣化游戏教学的多维性探索     

乔慧 《当代体育科技》2020,(11):72-73

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。  相似文献