Relations among participation, fairness and performance in collaborative learning with Wiki-based analytics

被引:0
|
作者
Ng J. [1 ]
Hu X. [1 ]
Luo M. [1 ]
Chu S.K.W. [1 ]
机构
[1] Faculty of Education, University of Hong Kong, Pokfulam Road
来源
Proceedings of the Association for Information Science and Technology | 2019年 / 56卷 / 01期
关键词
Computer-Supported Collaborative Learning (CSCL); e-learning; Fairness; Learning Analytics; Wiki; Wikiglass; Work Distribution;
D O I
10.1002/pra2.48
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Utilizing data analytics for supporting collaborative learning is under-studied in secondary education. This study aims to evaluate the effectiveness of Wiki and Wiki-based learning analytics in facilitating collaborative learning in a junior secondary school, in terms of students' participation, contribution, performance, and perception. A Wiki-based learning analytic tool, Wikiglass, was employed for visualizing statistics of students' contributions and participation (e.g., revision counts) in Wiki, on both the group and individual levels. System log, student survey and performance data were collected from students involved in a Wiki-supported inquiry project assignment. An Unfairness Index is proposed to measure students' group work distribution. Results of statistical analyses show that fairness of group work distribution was positively related to active participation in revisions on Wiki on the group level, and the number of sentences with higher-order thinking was related to group performance scores. On the level of individual students, Wiki-based analytics increased the visibility of work distribution and peers' work progress and contributions which might have changed students' collaborative behaviors. Author(s) retain copyright, but ASIS&T receives an exclusive publication license
引用
收藏
页码:463 / 467
页数:4
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