Multi-Interest Self-Organizing LearningCommunity Model and Construction Algorithms
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Graphical Abstract
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Abstract
Building learning communities is an e®ec-
tive solution to conquer feelings of loneliness and to share
experiences and resources with one another quickly and
e±ciently for learners in an e-learning environment. Ex-
isting community models focus only on each learner's sin-
gle or primary interest and ignore other interests a learner
may hold simultaneously. This paper proposes a multi-
interest self-organizing learning community model based
on multi-agent technology. Learners with similar interests
are automatically grouped into the same community; and,
each learner associates with several communities because
of his or her multiple interests. This paper also proposes
a novel community construction algorithm by calculating
knowledge semantic similarity and clustering learner in-
terests; and introduces a dynamic community adjustment
algorithm by monitoring the learning activities performed
by learners. Experiment results in a real e-learning envi-
ronment have shown the e®ectiveness and e±ciency of the
model and corresponding algorithms.
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