Using Learning Analytics to Support Engagement in Collaborative Writing

Author:

Liu Ming1,Pardo Abelardo2,Liu Li3

Affiliation:

1. School of Computer and Information Science, Southwest University, Chongqing, China

2. School of Electrical and Information Engineering, The University of Sydney, Sydney, Australia

3. School of Software Engineering, Chongqing University, Chongqing, China

Abstract

Online collaborative writing tools provide an efficient way to complete a writing task. However, existing tools only focus on technological affordances and ignore the importance of social affordances in a collaborative learning environment. This article describes a learning analytic system that analyzes writing behaviors, and creates visualizations incorporating individual engagement awareness and group ranking awareness (social affordance), and review writing behaviour history (technological affordance), to support student engagement. Studies examined the performance of the system used by university students in two collaborative writing activities: collaboratively writing a project proposal (N = 41) and writing tutorial discussion answers (N = 25). Results show that students agreed with what the visualization conveys and visualizations enhance their engagement in a collaborative writing activity. In addition, students stated that the visualizations were useful to help them reflect on the writing process and support the assessment of individual contributions.

Publisher

IGI Global

Subject

Computer Networks and Communications,Computer Science Applications,Education

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning Analytics on Student Engagement to Enhance Students’ Learning Performance: A Systematic Review;Sustainability;2023-05-10

2. Promoting student engagement in online collaborative writing through a student‐facing social learning analytics tool;Journal of Computer Assisted Learning;2021-08-24

3. Text mining in education;WIREs Data Mining and Knowledge Discovery;2019-08-04

4. Eye-Write;Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems;2019-05-02

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