Abstract
The article discusses the approach to the use of personal learning environment for obtaining and analyzing feedback from students. The study was conducted on the basis of assessments and feedback from students, collected over six semesters. A total of 1200 students from the Institute of Space and Information Technologies of the Siberian Federal University took part in the research. An algorithm is proposed for selecting reliable estimates of students, allowing to clear the source data from interference and emissions, as well as to increase the relevance of these estimates. The results of the analysis of data from the students, showing the possibility of their use for the formation of control actions on the educational process are presented. Examples of real data reflecting interference, numerical characteristics of disciplines formed from the results of the survey, as well as the effect of interference on the results of data processing, are considered.
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