在线学习课堂中社会存在的培养

B. Sivasankari, P. Jeyalakshmi, P. Seethalakshmi, R. Ananthakumar
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引用次数: 24

摘要

微博客是社交网络应用中的一项流行技术,它允许用户通过网络和短信实时发布在线短文本消息(例如,少于200个字符)。微博是一种非正式的沟通媒介,特别适用于组织内部的协作工作。这是一种文本分类的新应用,针对课堂上提出的两类微博问题,即相关问题(即教师想在课堂上讨论的问题)和不相关问题。先前关于教师代理的工作包括一个问题排名功能,它对每个问题进行评分,并尝试选择最好的问题来回答。相关的问题将被优先考虑,而不是无关的问题。他们利用问题文本和个性化的方法(例如,那些提出好问题的学生的问题会受到青睐)来区分相关和不相关的问题。此外,实证结果还表明,消除停顿词可以更好地估计问题之间的相关性,从而提高分类效率。另一方面,加入学生对问题的投票并不会提高分类效率,在社区问答环境中对问题质量的评估是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cultivating Social Presence in the Online Learning Classroom
Micro-blogging is a popular technology in social networking applications that lets users publish online short text messages (e.g., less than 200 characters) in real time via the web and SMS. Micro-blogging is a informal communication medium especially for collaborative work within an organization. It is a novel application of text categorization for two types of micro-blogging questions asked in a classroom, namely relevant (i.e., questions that the teacher wants to address in the class) and irrelevant questions. Prior work on teacher agents includes a question ranking capability that scores each question and tries to select the best questions to respond to. The relevant question would be given the first priority for the reply, as compared to irrelevant question. They utilize the question text as well as a personalized approach (i.e., questions from a student who has been asking good questions are favored) to differentiate between the relevant and irrelevant questions. Furthermore, empirical results also show that the elimination of stop words leads to better correlation estimation between questions and leads to better categorization efficiency. On the other hand, incorporating students’ votes on the questions does not improve categorization efficiency, to be effective in community question answering environments for assessing question quality.
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