E-Learner's Emotion Regulation Model with Undirected Gaussian Graphical Model

doi:10.16182/j.issn1004731x.joss.201705001

Abstract

Abstract: Based on the absence of emotion in the background, e-Learner's emotion regulation model with simple variable can't fit the sparse and complex data in e-Learning, an e-Learner's emotion regulation model was proposed by Undirected Gaussian Graphical Model, which emphasized on many kinds of factor influences in emotion regulation. Correlation analysis, statistics, Gaussian undirected graph model fit the data to understand the relationship between data variables by using Chow-Liu algorithm, which searched for the smallest BIC forests and built e-learner's emotion regulation model based on the e-Learner's log. This model gives a basis for emotion regulation in e-Learning.

Key words: emotion, emotion regulation, e-Learner, Undirected Gaussian Graphical Model

CLC Number:

TP391

Qin Jiwei, Turgun·Ibragim, Zhang Huiguo. E-Learner's Emotion Regulation Model with Undirected Gaussian Graphical Model[J]. Journal of System Simulation, 2017, 29(5): 935-940.

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