Learning Object Recommendation Services in Interactive E-learning Systems

The traditional teaching method is already show its limitations that students from different backgrounds are still given the same contents at the same time, and they may only interest in part of a whole learning content. Such these contents couldn’t be used to provide the exact content to the learners and reused by other authoring tools and content management systems. In this paper, we propose a novel weighted-based recommendation mechanism to compute recommendation priority for learning objects and develop the interactive e-learning system with learning content recommendation services. It can dynamically provide adaptive learning contents to different learners. Key-words: Digital Learning, Recommendation Service, Learning Object