This paper presents a method of using a classification procedure for retrieval of the messages that may be interesting to students. Students and professors are communicating using an online educational environment, which will provide the necessary amount of data needed to create the student model. We aim at creating a tool that will allow students to receive a set of recommended messages that may be interesting to them. The system makes the recommendations to students based on their activity performed on the platform. The tool analyses the student's features, classifies him and according with obtained class the retrieved set of messages is obtained. The tool also acts as a message indexing system by storing messages in correspondence with student labels that are obtained by employing a decision tree classifier. The data used to train the classifier is gathered from the on-line educational environment and contains all the necessary information regarding the students' performed activities on the platform.