Issue |
E3S Web Conf.
Volume 188, 2020
The 4th International Conference on Electrical Systems, Technology and Information (ICESTI 2019)
|
|
---|---|---|
Article Number | 00014 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/e3sconf/202018800014 | |
Published online | 08 September 2020 |
Understanding Engineering Students’ Behaviours when Writing Group Report using Wiki
1
Electrical Engineering Department, Petra Christian University, Jl. Siwalankerto No.121-131, Surabaya 60236, East Java, Indonesia
2
National Chiao Tung University, Daxue Road, East District, Hsinchu City, 30010 Taiwan, ROC
* Corresponding author: iwanhp@petra.ac.id
The ability to operate as a group in workplace has become a key requirement in the globally connected workplace. As such, higher education institution needs to provide collaborative work experience in order to prepare their graduates to be ready for real world organization. In most situation, students learn to work collaboratively in an online environment via Wiki. This free tool allows student to write, edit and format manuscript in online manner. However, when working in a group, students does not always prepare to cope with the group dynamics. Therefore, students encounter challenges and difficulty to operate as a group. The aim of this study is to investigate whether students develop unique behaviour when trying to complete the group assignment. The research result reveals that group assignment does not always be a perfect working environment and they as consequences they develop several group behaviours in order to develop unique behaviour in order to be successfully complete their group task.
Key words: Collaborative learning platform / collaborative writing / group work / online environment / unique behaviour
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.