The study of dynamic delivery adaptive learning content in e-learning personalization using text mining and ontology approach

Nowadays, personalization e-learning becomes one of the interesting issues in e-learning research that continues to grow. Many studies proposed different approach to deliver adaptive learning content according to learner's characteristics, needs, and preferences. The outcomes from studies are various too. In this paper, in order to get best approach in task deliver learning content, preliminary study to analyze two major approaches that usually used, they are text mining and ontology approach has been conducted. Both approaches will be applied in a personalization e-learning system. The effectiveness and efficiency to obtain which approach is the best will be measured. In order to support the study, data such as learning material, participant, and learning activities have been collected and analyzed.