Construction and Practice of Interactive Discourse Analysis Model Based on Forum Text
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.
NETL
NSTL
万方数据
维普
