Abstract—The MOOCs have risen in online learning and they develop and change constantly. At present, the universities not only join the MOOCs platforms but also build their own online learning platforms. With applying the online learning platforms, such as cloud classrooms, for hybrid teaching, a bunch of learning data have generated on those platforms, but utilization of such data for developing learning effect need to be pained more attention. Based on the learning characteristics of forums and the needs of forum learning assessment, this paper builds an interactive discourse analysis mode based on the cloud classroom platform of Central China Normal University, and a real course data is applied to conduct empirical research. Research results show that this mode can effectively describe forum learning behavior of student and can assist teachers in screening special students to help them make the appropriate interventions.
Index Terms—Learning analytics, interactive discourse, text mining, cloud classroom.
Zhifeng Wang, Rong Zhao, Yanli Xu, Xiangyong Li, and Mingzhang Zuo are with the School of Educational Information Technology, Central China Normal University, Wuhan, Hubei 430079 China (e-mail: zfwang@mail.ccnu.edu.cn).
Junmin Ye is with the School of Computer, Central China Normal University, Wuhan, Hubei 430079, China.
Cite: Zhifeng Wang, Rong Zhao, Yanli Xu, Xiangyong Li, Mingzhang Zuo, and Junmin Ye, "Interactive Discourse Analysis Based on the Forum Text Mining in Cloud Classroom," International Journal of Information and Education Technology vol. 9, no. 3, pp. 178-183, 2019.