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。     

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.     

Paving Consensus: Enacting, Challenging, and Revising the Consensus Process in a Cohousing Community

This study focused on a cohousing community's use of consensus to make a decision about surfacing a parking area. It revealed that the community's use of consensus decision making allowed the residents to balance three goals: making an appropriate decision, meeting members' needs, and maintaining the community's well-being. Reaching agreement, however, was complicated by members' value differences and discontinuity in their participation. The analysis of this case reveals three qualities characteristic of the enactment of consensus: the role of structured communication within and between group meetings, a tension between maintaining process openness and reaching decision closure, and the expectation that group members will work within the consensus process. The analysis also highlights the importance of timing in the interpretation of conflict in a consensus-oriented group and the role of process change when a group reaches the limits of members' commitment to consensus.     

数字图书馆-理想与现实

文章首先讨论理想的数字图书馆概念,介绍并比较两个主要的数字图书馆项目类型:研究型和实践型。在此基础上,论述了“混合图书馆”的概念及其特征、目标和任务,讨论混合图书馆较之理想中的数字图书馆,在资源、服务和系统等方面所面对的更为复杂的情况和问题,并从整合机制以及图书馆系统的选择等方面,提出混合图书馆目前需要关注的几项工作。     

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.     

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.