在线辅导基本要素

该文是作者在英国进修期间对在线辅导所做的一些研究,它主要阐述了在线辅导的一些基本概念,分析了在线学习的学习支持以及教学策略,最后提出了具体的实施方法。希望以此向从事在线教学的教师提供一些有价值的参考。     

“情商”与足球心理训练

采用问卷调查、文献资料法，对“情商”进行评定，得出“情商”的高低，也就是理智控制感情，道德规范行为，纪律约束冲动，思维管理情绪的能力，它能在一定程度反应足球运动员心理素质。为有目的地训练和提高“情商”，进而全面提高运动员心理素质，最终取得优异的比赛成绩提供了借鉴。     

情感教学在创新教育中的积极作用

创新教育是全民素质提高的基本条件。它强调以促进学生的整体素质的发展为目标，培养学生的创新意识，创新能力与创造性人格。情感教学能有力地促进教育创新，要搞好创新教育，必须使情感教学和创新教育有机地相结合。     

Creating a departmental culture for communication grants

Extramural funding to support communication research influences and is influenced by the culture of our discipline, universities, and departments. Both the National Communication Association and the International Communication Association have established closer ties to funding agencies and encouraged members' grant writing pursuits through mentorship and convention programs, newsletter columns, and publicity. Universities vary in how much support they have available as infrastructure to assist in the submission and administration of grants. Some institutions facilitate extramural funding endeavors through mentoring programs, university-wide research centers, sharing of indirect costs, and space. Department cultures, too, vary in the resources available to support grants. Departments in many ways have the most direct effects on grant-supporting cultures. In addition to activities indicated for the discipline and university, departments can build a grant culture by recognizing grant writing in their personnel practices, creating systems for rewarding and supporting grant activities, and having policies in place for the many related issues (e.g., release time, indirect cost sharing, research assistants). Finally, the interpersonal culture, whether colleagues recognize and support grants, plays a major role in individual pursuit of, and satisfaction with, seeking extramural funding to support communication research.     

基于支持向量机的文本自动分类试验研究

提出了将支持向量机应用于文本自动分类的研究，与常用的K-最邻近法相比，无论是对训练数据集还是测试数据集均具有一定的优势，而且不同特征选择方法对支持向量机的影响要比K-最邻近法小。此外，从研究中的不同特征选择的评价函数来看，它们对分类有一定的影响，应用X2统计进行特征选择的分类正确率最高，其次是文本证据权，而期望交叉熵的效果最差，说明特征选择在文本自动分类中也是相当重要的。     

基于机器学习的自动文本分类模型研究

基于机器学习的方法是自动文本分类中非常重要的一大类方法。本文先给出了形式化的定义，提出了自动文本分类的流程模型，然后选取了支持向量机（Support Vector Machine，SVM）算法作为一个典型例子进行分析，最后作者通过一个中文文本分类实验评价了该算法的效果。     

Analysis of Statistical Question Classification for Fact-Based Questions

Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.     

Co-rumination and Immune Inflammatory Response in Healthy Young Adults: Associations with Interleukin-6 and C-Reactive Protein

A rich literature exists reinforcing the notion that both perceived and received social support has stress ameliorating and protective benefits both psychologically and physiologically. However, recent literature suggests that excessive dyadic negative problem talk about an issue, a phenomenon labeled co-rumination, may reverse much of the beneficial effects of social support. Healthy young adults participated in a laboratory research study exploring the associations between co-rumination and immune system inflammatory response. Partial correlations indicated a positive association between co-rumination and C-reactive protein and a negative association between co-rumination and interleukin-6 after controlling for stress, anxiety, and temperature. Discussion focuses on the means by which co-rumination may lead to negative health outcomes.     

A different type of dirty work: Hidden taint,intersectionality, and emotion management in bureaucratic organizations

This study explores the intersectionality among identity markers, such as gender, race, and class, and emotion management in two bureaucratic organizations – municipal courtrooms and airport security checkpoints. We name and explore a new type of dirty work called “hidden taint,” which we describe as a larger, encompassing category of dirty work that involves the experience and dynamic co-construction of taint. Utilizing qualitative methods including participant observation and interviews, we compare how hidden taint is experienced in each bureaucratic context. The results focus on the relationship between (1) hidden taint and the co-construction of emotion norms and (2) hidden taint and power dynamics. This study extends communication theory by naming and describing hidden taint as a new type of dirty work, extending literature on emotion management and intersectionality by exploring their connection to dirty work in occupations with varying levels of prestige, and detailing how emotion management is co-constructed between employees and patrons in bureaucratic contexts.     

Investigating the Role of Problem Severity and Channel Publicness on the Sophistication of Support-Seeking Messages on Social Network Sites: A Replication Study

Oh and LaRose (2016) contended that problem severity and channel publicness shape support seekers’ goals, time spent composing messages, and the sophistication of those messages. The current study seeks to replicate and extend Oh and LaRose’s study to produce a more accurate understanding of the factors that influence the sophistication of support-seeking messages online. Support seekers’ goals varied according to the severity of a stressor and the publicness of a channel, and the amount of time people spent composing a message influenced its sophistication. We extend the original study by examining associations that were not initially tested. Time spent composing messages mediated the influence of problem severity on the quality of people’s messages, and this effect was moderated by channel publicness.