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

Jeremy Ng, Xiao Hu, Miyu Luo, Sam K.W. Chu

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)463-467
Number of pages5
JournalProceedings of the Association for Information Science and Technology
Volume56
Issue number1
DOIs
Publication statusPublished - Jan 2019
Externally publishedYes

Keywords

  • Computer-Supported Collaborative Learning (CSCL)
  • Fairness
  • Learning Analytics
  • Wiki
  • Wikiglass
  • Work Distribution
  • e-learning

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