This paper proposes a LMS (Learning Management System) with intelligent agent to provide effective adaptive messages to a learner. The unique features of this paper are shown as follows: The agent system proposed in this paper has a Learner Model, which is automatically and continually constructed by applying the decision tree model constructed from the learning histories data stored in the data-base. The constructed Leaner Model predicts a learner?s future final status (1.Failed, 2. Abandon, 3. Successful, 4.Excellent) using his/her current learning history data. The constructed Leaner Model becomes more exact as the amount of data accumulated in the Data-Base increases .The agent system presents the optimal instructional message based on the learner?s predicted future state. .. The agent provides some attention cues according to [1] at the timing when a learner begins to be bored with his/her learning. In addition, this paper demonstrates the effectiveness of this system through actual e-Learning classes.