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

Authors

Jiwei Qin, 1. Center of Network and Information Technology, Xinjiang University, Urumqi 830046, China; ;2. Xinjiang Laboratory of Multi-Language Infornation Technology, Xinjiang University, Urumqi 830046, China; ;
Turgun· Ibragim, 2. Xinjiang Laboratory of Multi-Language Infornation Technology, Xinjiang University, Urumqi 830046, China; ;
Huiguo Zhang, 3. College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China;

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.

Recommended Citation

Qin, Jiwei; Ibragim, Turgun·; and Zhang, Huiguo (2020) "E-Learner's Emotion Regulation Model with Undirected Gaussian Graphical Model," Journal of System Simulation: Vol. 29: Iss. 5, Article 1.
DOI: 10.16182/j.issn1004731x.joss.201705001
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss5/1

First Page

935

Revised Date

2016-08-29

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201705001

Last Page

940

CLC

TP391

Recommended Citation

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.

Corresponding Author

Turgun· Ibragim,

DOI

10.16182/j.issn1004731x.joss.201705001