This paper identifies the characteristics of anomie behaviors of MOOC learners through the cluster analysis of those anomie behaviors, and finds out the initial paths of intelligent recognition through online analysis of the background data characteristics of these anomie behaviors. The paper also suggests that these identification paths are not difficult to find, but there are still some profound reasons why many MOOC companies have not adopted those paths so far.
CITATION STYLE
Liu, S., Zhang, F., & Jiang, C. (2019). Preliminary ideas for intelligent recognition paths of anomie behaviors among MOOC learners. In Smart Innovation, Systems and Technologies (Vol. 128, pp. 184–192). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-04585-2_22
Mendeley helps you to discover research relevant for your work.