Application of Clustering Algorithm and Rough Set in Distance Education
Zhiming Qu, Xiaoli Wang · 2009
Modern distance education is a new Web-based form of education. Enhancing personalized teaching standard of distance learning site is an important and difficult research in the development of modern distance education. Based on rough set (RS), Web learners clustering model, learning features reduction and clustering algorithm are presented, which provides a basis of personalized teaching strategies for distance learning Website. Further research is to mine and process the dynamic personality of learnerpsilas knowledge, and then to provide services on achieving real-time personalized teaching requirement.