A framework for interactive pattern based adaptive recommender agent using concept map for personalized e-learning: IPBARA

This paper addresses the issue of providing personalized user interface to e-learner under web based e-learning environment. A frame work, based on concept map trees, is proposed that intelligently tracks the learning pattern of an e-learner and helps the learner to attain his learning objective through the recommender agent. The system is expected to take certain period of adaptive training session to identify the various learning patterns prevailing in a web-based e-Learning environment.