Multi Strategies-Based Resources Recommendation in Learning Team

Abstract:

Learning team has become an important foundation for collaborative work. In a team, according to the knowledge of members and task requirements, how to recommend learning resources to the appropriate team member is a key factor of success. This paper firstly reviewed related methods and concepts in knowledge management and recommendation. Then, it constructed different models for task, knowledge, team member and learning resource. The two strategies of resources recommendation were proposed. One was based on similarity measurement and another is based on knowledge background and experience of team members. Based on the two strategies, learning resources were recommended to team members. Finally, the prototype system was built for practical validation.

• Periodical: Advanced Materials Research (Volumes 1006-1007)
• Pages: 1187-1193
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.1187
• Online since: August 2014
• Authors: Lin Gong, Zi Jian Zhang, Jian Xie
• Keywords: Knowledge Modeling, Knowledge Recommendation, Learning Resources, Similarity Measurement, Team Collaboration

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