Abstract
With the help of web mining technology, the
E-Learning systems are grouped in the following
importance of e-learning is in advance. The web mining gives
approaches [2]:
the personalized
education.
By
using
various
mining
?
Personalization of the learning
content, based
on
techniques,
both
the
learner
and
the
teacher
can
achieve
learners preferences, educational background and
benefits. Thus, the process of learning becomes simpler and
experience.
affordable.
With
the advancement
in
web
mining, the
?
Personalization of the representation
manner
and
education through eLearning is improved.
In this paper, we proposed Combi, a new system for
the form of the learning content.
combining three web mining techniques with the learner's
? Full personalization, which is a combination of the
profile for e-learning personalization. Our personalization is
previous two types.
based on learners preferences, educational background and
experience. The goal
we took
of personalization is
learners
Personalization
in e-learning
can
be understood
as
satisfaction. Our Combi system helps the learner to find the
education
related
technology
which
is
capable
of
most suitable related information needed without wasting time
individualizing the interaction between system and learner,
and effort in looking through the long list of searched results to
based on the personal needs and preferences of learner, and
find the most suitable information. We discovered the learning
help them to shape their own learning boundaries and to
behavior pattern to build up a series of feedback and
motivation system and we compared the results from our
collaborate in terms of thoughts, information and knowledge
system with an existing related system.