| dc.description.abstract | Personalized adaptive E-learning system means
a learning system which is based on learner’s feedback, his
or her multiple intelligence and learning style. In traditional
higher education when conducting lectures there is a risk of
Rashomon effect occurrence. Rashomon effect can be
simply defined as a how a group of people react to the same
incident in a different way. In education that definition can
be turned into how group of people react to same lecture
material in a different way. The problem is how to mitigate
occurrence of this risk. The researcher’s proposed solution
is an adaptive learning system which is mainly focused on
mitigating the risks of Rashomon effect in learning process
and improve learners’ success of learning based on
personalization information like learning style, cognitive
style or learning achievements. This innovative adaptive
learning method is proposed based on considering two
major sources of personalization information which are;
learning behaviour and personal learning style. To find out
the significant learning styles of the learner, an assigned
test - The VARK (Visual , Aural, Read/Write, Kinesthetic)
Questionnaire employ. When adjusting the learning
materials have to consider learning behaviour of the
learners, the interactions and learning results of learners
have to recorded and analyse using machine learning
techniques. And also use Bayesian modelling to model a
student’s ability. Based on these information researcher
propose as solution by developing an adaptive e-learning
system. | |
