Constructing different learning paths through e-learning

It is a challenging problem to apply an efficient teaching-learning method to the situation where learners have diverse computing backgrounds and the learning content to be covered is also in the broad coverage. In this case, it's required that more sophisticated teaching-learning method should be devised. We have drawn a method which can be applied to that case efficiently by using web technology. In our approach, we focus on finding out classification methods for both learners and learning content based on the web. To make classification and manipulation of learning content ease, we reorganize learning content in order to have discrete form by introducing the concept of the knowledge unit which is extracted from each topic. Also, to make classification and diagnostic of learners ease, we develop questions to measure them and analyze each question using item response theory (IRT) on the web. From the experiment of students sampled using our method, we show that learners with various backgrounds and the learning content with distribution on the broad range can be categorized effectively into several groups. Also, we describe how to apply our method to the introductory courses at postsecondary level.