Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
481142 | European Journal of Operational Research | 2009 | 11 Pages |
Abstract
Adaptability to each separate user’s needs and preferences is a common concern in modern e-learning systems. Among various adaptation techniques described in recent research, collaboration support seeks to create groups that efficiently work together in order to advance user’s learning. This paper defines two similarity coefficients between users and learning objects and focuses on automatic creation of properly matching collaborating groups based on an algorithmic approach. By adopting methods derived from Group Technology, the method simultaneously selects appropriate learning objects to form a corresponding educational package for each group, thus assuring optimal value of user’s learning.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Yannis A. Pollalis, George Mavrommatis,