Interpersonal Relationship Recommendation Framework for Mobile Learning Community
Chengzhi Liu, Department of Computer and Information Science, Norwegian University of Science and Technology, Norway
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Orlando, Florida, USA ISBN 978-1-880094-83-9 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
Mobile technology opens new possibilities for both distant and local people to work collaboratively in learning communities. Collaborative knowledge creation is based on the establishment of interpersonal relationship among learners. To some extent, the scale and development of mobile learning community have positive correlation with the number of interpersonal relationships. However, it is inefficient to build relationships only through spontaneous interaction of community members. In order to improve the efficiency of developing collaboration relationships, this paper presented a recommendation framework to help learners find their potential suitable collaborators. User attributes, which are closely relevant to collaboration relationship building, are organized in five categories: personal demographic information, learning interests, level of activity, the ability to maintaining existing relationships and location. The recommendation is given by weighting user attributes in appropriate measurement method and weight according to their role in building collaboration relationship.
Liu, C. (2010). Interpersonal Relationship Recommendation Framework for Mobile Learning Community. In J. Sanchez & K. Zhang (Eds.), Proceedings of E-Learn 2010--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 683-688). Orlando, Florida, USA: Association for the Advancement of Computing in Education (AACE).
© 2010 Association for the Advancement of Computing in Education (AACE)