A Cognition Inference-Based Approach for Learning Object Recommendation in E-Learning

There is an increasing need for e-learning sites to provide personalized learning objectives recommendation to learners. This paper proposes a new type of recommendation agent based on cognition inference. This recommendation agent is designed to give personalized suggestions based on cognitive preference of target learner, and common preferences of other learners who own similar cognitive style with target learner.