Currently, there is an increase in demand for distance education programs,which actualizes the problems of organizing the educational process at universities usingthese technologies. The article highlights and describes the characteristic features andprospects of using the analysis of educational data in the information and educational portalof distance learning, in order to implement adaptive learning and learning in accordancewith dynamically formed individual trajectories. The task is to create a fundamentally newinformation system of the university using the results of the analysis of educational data. Oneof the functions of such a system is to extract knowledge from the data accumulated duringoperation. Creating own system of this type is an iterative and time-consuming process thatrequires preliminary research and step-by-step prototyping of modules. The novelty lies inthe fact that there is currently no methodology for developing such systems in Kazakhstan,so a number of experiments were conducted in order to collect data, select suitable methodsfor studying the collected data, and then interpret them. As a result of the experiment, theauthors identified the sources of educational data available for analysis in the informationenvironment of the university. The data of semester academic performance obtained from theToraighyrov University information system, data obtained as a result of independent work ofstudents and data obtained using specially developed Google-forms were taken as a basis. Aninformation and educational portal was created for the automated collection, processing andanalysis of educational data. Based on the study of students’ behavior, it becomes possibleto form recommendations for teachers to improve the content and structure, as well asrecommendations for the training of students. The data contained in the activity logs areexamined to obtain information, search for dependencies by filtering relevant logs, structuringinformation from them and providing data in a form convenient for analysis and drawingconclusions. The data of the main types of events generated as a result of recording useractions in the learning management system and scenarios for using the results of the analysisof these data are considered. The elements of the software implementation of this system aredescribed in detail, conclusions are made about the availability of the data sources used, andconclusions are drawn about the prospects for further development.