doi: 10.18178/ijiet.2019.9.3.1195
Interactive Discourse Analysis Based on the Forum Text Mining in Cloud Classroom
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.
Keywords
- Learning analytics
- interactive discourse
- text mining
- cloud classroom
How to 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. https://doi.org/10.18178/ijiet.2019.9.3.1195
Copyright & License
Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).