Measuring and Visualizing Group Knowledge Elaboration in Online Collaborative Discussions

被引：5

作者：

Zheng, Yafeng ^{[1
,2
]}

Xu, Chang ^{[1
]}

Li, Yanyan ^{[1
]}

Su, You ^{[1
]}

机构：

[1] Beijing Normal Univ, Smart Learning Inst, Sch Educ Technol, Beijing, Peoples R China

[2] Henan Univ Econ & Law, Sch Comp & Informat Engn, Zhengzhou, Henan, Peoples R China

来源：

EDUCATIONAL TECHNOLOGY & SOCIETY | 2018年 / 21卷 / 01期

关键词：

Knowledge elaboration; Collaborative learning; Online collaborative discussions; Visualization; LEARNING ANALYTICS; STUDENTS; MODEL; ACQUISITION; FRAMEWORK;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Knowledge elaboration plays a critical role in promoting knowledge acquisition and facilitating the retention of target knowledge in online collaborative discussions. Adopting a key-term-based automated analysis approach, we proposed an indicator framework to measure the level of knowledge elaboration in terms of coverage, activation, and equitability. An interactive web-based tool was developed to provide a multidimensional view of students' knowledge elaboration, allowing teachers to have a real-time, in-depth understanding of students' mastery of domain knowledge. Using students' discussion posts on a problem-solving task as the data source, a case study was conducted, and the results showed that the proposed methodology was effective in examining group knowledge elaboration in online collaborative discussions.

引用

页码：91 / 103

页数：13