一种基于高斯无向图的e-Learner情感调节模型  

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

作　　者：秦继伟[1,2] 吐尔根.依布拉音 张辉国[3] 

机构地区：[1]新疆大学网络与技术中心,新疆乌鲁木齐830046 [2]新疆多语种信息技术实验室,新疆乌鲁木齐830046 [3]新疆大学数学与系统科学学院,新疆乌鲁木齐830046

出　　处：《系统仿真学报》2017年第5期935-940,949,共7页Journal of System Simulation

基　　金：国家自然科学基金(61402392;61331911);中国博士后科学基金(2016M592867);国家重点基础研究规划项目(2014CB340506)

摘　　要：以e-Learning中学习者情感缺失问题为应用背景,针对目前已有情感调节模型中变量单一,对实际e-Learning环境中影响学习者情感变化的变量复杂、数据稀疏等适应能力支持不足的问题,提出基于高斯无向图的e-Learner情感调节模型,强调综合考虑影响学习者情感调节的多种属性,建立e-Learner的情感调节模型。在获取e-Learner实时学习日志的基础上,对影响e-Learner情感的主要因素,进行相关性分析、统计,利用高斯无向图模型拟合数据,理解数据变量间的相互关系,运用Chow-Liu算法搜索最小BIC森林,得到e-Learner情感调节模型,为确定e-Learner情感调节的资源提供依据。Based on the absence of emotion in the background, e-Leamer＇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.

关 键 词：情感 情感调节 e-Learner 高斯无向图 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]