Study on Learning Resources Recommendation Based on Tasks in Team Collaboration
Authors
Lin Gong, Jian Xie, Yang Liu, Xiaodan Zhang
Corresponding Author
Lin Gong
Available Online May 2014.
- DOI
- 10.2991/ictcs-14.2014.19How to use a DOI?
- Keywords
- learning resources; knowledge recommendation; team collaboration; knowledge modeling
- Abstract
Nowadays, learning team has become an important foundation for modern work. In a team, how to recommend learning resources to the appropriate team member according to the task requirements is a key factor of success. This paper firstly reviewed related methods and concepts in knowledge modeling and learning recommendation. Then, it constructed a model for teamwork tasks, knowledge and team members. Based on knowledge background and experience of team members in the project, it recommended learning resources to the members according to the assigned tasks. Finally, the prototype system was built for practical validation.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lin Gong AU - Jian Xie AU - Yang Liu AU - Xiaodan Zhang PY - 2014/05 DA - 2014/05 TI - Study on Learning Resources Recommendation Based on Tasks in Team Collaboration BT - Proceedings of the 2nd International Conference on Teaching and Computational Science PB - Atlantis Press SP - 75 EP - 79 SN - 1951-6851 UR - https://doi.org/10.2991/ictcs-14.2014.19 DO - 10.2991/ictcs-14.2014.19 ID - Gong2014/05 ER -