Predictive accuracy based on cognitive approach in web based learning

With bandwidth increasing at a constant pace, technology in education has become an important part for delivery of educational content to students. Online learning in various forms is gaining popularity but lacks the adaptability required to hold the learners attention due to its rigid structure. Though animation and powerful graphics enhance the learning content, delivery of content according to learners need is yet to become a reality. It is not possible to build a learning system that can satisfy every learner as some people respond best when they see basic facts on a clean page, others when they have a lot of charts and graphs at their fingertips. To overcome these shortcomings, the content delivery itself can be made dynamic based on the learner´s need. In this paper, we propose a novel method to identify a user´s need based on the cognitive behavior of the user. Based on the response of the user, a decision tree induction algorithm is used to predict the requirements of future users.