武汉工程大学学报2018，Vol.40Issue(1)：109-113,5.DOI:10.3969/j.issn.1674-2869.2018.01.020
MOOC学习中"伪学习者"行为特征分析与识别的研究
Analysis and Detection of Pseudo-Learners Behavior in Massive Open Online Courses
摘要
Abstract
To detect the pseudo-learners in Massive Open Online Courses(MOOC),a pseudo-learner detection model was proposed based on Tri-training. First,new behavior characteristics such as autonomic behavior and interactive information were proposed based on the analysis of the learners' fundamental characteristics,and the learner's dynamic behavior pattern was established by the joint analysis of the above characteristics. Second,a multi-classifier was used to identify the learner's behavior data to detect pseudo-learners. Finally,experiment results indicate the proposed method can be used to detect whether a learner is a pseudo-learner,which has the potential to partially evaluate the MOOC teaching effect in practice.关键词
慕课/伪学习者检测/学习行为/协同训练Key words
MOOC/pseudo-learners detection/learning behavior/Tri-training分类
社会科学引用本文复制引用
王传安,葛华..MOOC学习中"伪学习者"行为特征分析与识别的研究[J].武汉工程大学学报,2018,40(1):109-113,5.基金项目
安徽省质量工程教研项目(2014Mvoco38) （2014Mvoco38）
