论文标题
MOOC帖子分析，知识跟踪和同行反馈发生了什么？评论
What's happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review
论文作者
论文摘要
学习管理系统（LMS）和教育数据挖掘（EDM）是在线教育环境的两个重要部分，前者是基于Web的集中信息系统，在该系统中进行了管理和学习活动（Stone and Zheng，2014年），后者专注于使用数据挖掘技术来分析数据的分析。作为这项工作的一部分，我们通过识别缺点和现有的开放问题以及Blumenfield图表来介绍EDM的三个主要任务的文献综述（请参阅第2节）（请参阅第3节）。如此使用的合并论文和资源集在https://github.com/manikandan-ravikiran/cs6460-survey中发布。调查的覆盖统计量和审查矩阵分别如图1和表1所示。首字母缩写扩展是在附录第4.1节中添加的。
Learning Management Systems (LMS) and Educational Data Mining (EDM) are two important parts of online educational environment with the former being a centralised web-based information systems where the learning content is managed and learning activities are organised (Stone and Zheng,2014) and latter focusing on using data mining techniques for the analysis of data so generated. As part of this work, we present a literature review of three major tasks of EDM (See section 2), by identifying shortcomings and existing open problems, and a Blumenfield chart (See section 3). The consolidated set of papers and resources so used are released in https://github.com/manikandan-ravikiran/cs6460-Survey. The coverage statistics and review matrix of the survey are as shown in Figure 1 & Table 1 respectively. Acronym expansions are added in the Appendix Section 4.1.
