Step-Function Approach for E-Learning Personalization
Abstract: Personalization is
an alternative to improve the learning process for an e-Learning environment. It
is a useful strategy to adjust the student' needs based on their characteristics
to make learning more effectively. In this study, we propose the step-function
approach for personalization in e-learning. It provides the students with
adopting the knowledge-ability factor (Novice, Average, or Good category) that matches
with their learning materials levels (Level1, Level2, or Level3). The approach
implemented into an e-learning which called SCELE-PDE and used as the
experimental group in two stages with different scenarios. In the first,
without a step-function approach, but the SCELE-PDE can identify an initial of student's
ability to knowledge category. The second stage has used the approach to
providing students with personalization in e-Learning to adapt learning
material based on a knowledge category. As a result,the step-function approach
has successfully to improve the student performance in the learning process during
the course. Thus, the approach has shown an increase in the level of students’
knowledge. So, it can be used as a guide when designing an e-learning personalization
for students to enhance learning and achievement.
Keywords: Step-Function,
e-Learning, Personalization, Knowledge-Ability Factor, Knowledge-Ability Categories
Author: Sfenrianto, Zainal A.
Hasibuan
Journal Code: jptkomputergg170138
