Design of Self-Directed E-Learning Material Recommendation System with On-Line Evaluation

Along with explosive growth of the IT and Internet, they have led much development on education, such as e-learning, distance learning and on-line learning etc., which provide learners with another better alternative for learning at anytime and anywhere. Practically, the essence of the Information technology application on education is that Learning is the essential and the technology is the auxiliary. That is, on education, the information technology just acts as a method or a tool in the process of learning. As the IT gets more mature, the e-learning becomes more popular. If the e-learning can effectively exploit the techniques of Data-mining, it will make user-learning more efficient. Thus, in this project, we not only continue the e-learning activity-based material recommendation system construction, but also design the self-evaluation system supporting with semantic search for an adaptive learning platform. In this paper, we mainly propose the ontology-based self-evaluation system with material recommendation system for providing a better learning platform. In the item bank construction, we will invite some domain experts to assist the collection and creation of examination questions and classification. We believe such self-directed learning system will be good for the improvement on the efficiency of the e-learning and will be beneficial to get more achievements on learning for learners.