【作 者】：
左明章， 赵 蓉， 王志锋， 李香勇， 徐燕丽
【关 键 词 】：
学习分析； 论坛文本； 话语分析； 在线学习
【栏 目】：
网络教育
【中文摘要】：
在线学习论坛是师生在线交流、知识共享的重要平台，但实际教学中对论坛学习行为数据利用不充分，教师无法掌握学生在线学习状态来优化教学设计，学生容易陷入信息迷航难以进行学习自我管理。文章针对论坛学习行为分析需求，基于互动话语分析理论，构建了一种基于在线学习平台的互动话语分析模式，并通过某大学云平台一门课程的论坛进行实证研究，结果表明：（1）通过统计论坛发帖时间发现学生善于利用碎片时间开展学习；（2）利用词频统计、情感分析挖掘发帖主题及情绪状态，发现论坛主题与情绪存在一定关联；（3）社会网络中的明星节点学生没有获得最好学习效果；（4）模式能够有效描述学生论坛学习行为，能够帮助教师甄别特殊学生并进行学习干预。
【英文摘要】：
Online learning forum is an important platform for online communication and knowledge sharing among teachers and students. However, the use of learning behavioral data of forum is not sufficient. Teachers can't master students' online learning status to optimize their instructional design, while students are likely to get trapped in information and have difficulty in self-management. Based on interactive discourse analysis theory and forum learning behavior analysis needs, this paper constructs an interactive discourse analysis model based on online learning platform, and conducts empirical research through a forum of a university cloud platform. The results show that students are good at using debris time to study according to the statistics of forum posting time. By using word frequency statistics and sentiment analysis to mine posting topics and emotional status, it is found that forum topics have a certain correlation with emotion. Popular students in social networks do not get the best learning effect. This model can effectively describe students’ forum learning behaviors, help teachers identify special students and engage in learning intervention.