Automating Assessment of Collaborative Writing Quality In Multiple Stages: The Case of Wiki

被引：4

作者：

Hu, Xiao ^{[1
]}

Tzi-Dong Jeremy Ng ^{[1
]}

Tian, Lu ^{[1
]}

Lei, Chi-Un ^{[2
]}

机构：

[1] Univ Hong Kong, Fac Educ, Pokfulam, Hong Kong, Peoples R China

[2] Univ Hong Kong, Technol Enriched Learning Initiat, Pokfulam, Hong Kong, Peoples R China

来源：

LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, | 2016年

关键词：

Wiki; automated assessment; metadiscourse;

D O I：

10.1145/2883851.2883963

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study attempts to investigate to what extent indicators of academic writing and cognitive thinking can help measure the writing quality of group collaborative writings on Wikis. Particularly, comparisons were made on Wiki content in different stages of the projects. Preliminary results from a multiple linear regression analysis reveal that linguistic indicators such as engagement markers and self-mention were significant predictors in earlier stages to the projects, whereas verbs indicating cognitive thinking in the evaluation level were significant in later project stages.

引用

页码：518 / 519

页数：2

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