Modeling on Predicting Learners Achievement
Ria Arafiyah, Zainal A. Hasibuan, Harry Budi Santoso
Universitas Negeri Jakarta
Universitas Indonesia
Abstract
Usually, learners achievement is known by the end of the course, this is very late because of improvements to enhance the quality of learning cannot be performed. Learners achievement prediction can be used to solve this problem. Various attempts were made to get a learners achievement models are closer to reality. This study aims to review research on the factors that affect learner-s achievement and design of modeling on predicting learners achievement. Those models are explored to agree on which one is the best. The reason of that among others to several components can improve success such as teacher pedagogic methods, learning media, learners tools etc that can be refined along learning process so that will improve the learners achievement. This study compares and explores several models to seeks the strength and weakness of the models. We expected to find which models perform better compare each other and inform what factors can improve learner achievement.
Keywords: e-learning, modeling, predicting learners achievement
Topic: Computer Science