Weighting and Ranking the E-learning Resources

The use of learning objects is necessary in distance learning environment. Lots of repositories provide only search service for the users. Users have to sift and collect the learning objects they really need. In previous works, we have constructed the reusability tree based on CORDRA architecture for the repository users. In this paper, we further collect and record the citation numbers of learning objects and then propose a formula to calculate the weight for each learning object. The basic concept is based on the social network of Web 2.0 and takes Google Page Rank mechanism into consideration. After getting weight values, we also integrate the similarity mechanism into our formula and rank these learning objects.