A Conceptual Framework of Synthesize on an Adaptive e-Learning Guidance System Base on Multiple Intelligence
Keywords:
E-learning, adaptive, multiple intelligence, data mining, recommendation system.Abstract
Currently, the conditions for learning and
teaching over e-learning systems are found to be that the
instructors will use lessons from pre-defined study guides.
Therefore, every student will interact with the same lesson plan.
Thus, performance and academic achievement of students will
not be as good as it should. This is because each student has
different aptitudes such as some students exceed in analysis,
whereas others exceed in arts, etc. If each student receives the
lesson content that matches their own aptitudes, their
performance and achievement would surely increase.
The goal of this research is to synthesize an adaptive
e-learning recommendation system based on Multiple
Intelligence and learner profiles using data mining analysis.
Thus, our paper proposes a conceptual model of an adaptive
e-learning guidance system based on Multiple Intelligence. The
conceptual model consists of five modules. Firstly, introduction
of a Rule based module. Secondly, detailed explanation of the
Recommendation module for students. The third, presentation
of the LMS module. The fourth, presentation of the Adaptive
module. And finally, proposal of content for the module which
is based on Multiple Intelligence
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