Methods of Learning Analytics are gaining ever broader usage and significance in the interpretation of big volumes of studies-related data. Such data, recovered from backlogs of digital learning media, can assist monitoring the behavior of students in online platforms. Continuous analysis of this information allows the teaching stuff to evaluate the efficiency of existing teaching techniques and to formulate the requirements to new didactic methods that should improve the learning process and ensure the learning success of students. Therefore the patterns of studies in learning analytics are usually specially tailored to serve the teaching stuff. However, for the students it can be interesting as well to learn how, on the base of monitoring and interpretation of their own behavior and activities in online platforms, they can gain more information about the pace of their own learning, compared to their classmates, and what they can and should do in order to raise their motivation and in that way to enhance their own learn success. In this paper we have studied the interest of the students regarding the introduction of the methods of learning analytics into the teaching process. We present the results of the survey conducted among the students of the HWR Berlin as well as extensions of the software for the Learning Management System Moodle that were elaborated and implemented by the group of students, basing on the results of the survey. We also discuss the aspects of privacy protection in the context of the personal information employed.