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5:24 PM  July 22, 2021

TSU method allows to draw psychological profile from digital footprint

© сайт Томского государственного университетаTSU method allows to draw psychological profile from digital footprint

TOMSK, Jul 22 – RIA Tomsk. Ekaterina Atamasova, a graduate student of TSU, has developed a methodology allowing to create a psychological portrait of a person on his "footprint" in social networks; a software prototype has already been created to help build individual learning paths and improve the quality of education, the university's press service said on Thursday.

Earlier it was reported that Tomsk State University (TSU) has been studying the phenomenon of social networks in education since 2010 and put the results into practice. Thus, employees of the university based on the analysis of digital traces of high school students predict what profile of training may choose an applicant, as well as train colleagues from other universities to look for future students on the digital footprint.

"Ekaterina Atamasova, a graduate student of the Institute of Applied Mathematics and Computer Science of Tomsk State University, has developed a method for selecting psychological characteristics in order to predict them using a person's digital footprint. The prototype of the software, which makes a psychological portrait based on open data obtained from social networks, was created on its basis", – the report says.

It is explained that to make a psychological profile is usually used questionnaire or survey, but not everyone can take part in them. Research of digital footprints is practically unlimited. Usually, profile information, interests, friendships, texts and user activity are used for analysis; some more information can be obtained from photo and picture analysis.

Atamasova identified 12 indicators of user activity and proposed a methodology for selecting psychological characteristics beyond the "big five. "To test the methodology, first of all, it was necessary to collect data, namely the results of psychological testing and digital footprint of respondents on the social network VKontakte... On their basis for the computer model were formed training samples", – she is quoted.

Then, students and employees of TSU with the help of LMS-system Moodle passed online survey, the results of which revealed their psychological characteristics. Then the computer model was "taught" to analyze the desired characteristics by assessing the degree of their expression. The skills acquired by AI were tested on the new user profiles and conducted a survey to evaluate the accuracy of the computer model.

It was found that stress can be predicted more accurately than benevolence, which means that behavioral disorders can be identified and individualized educational trajectories can be built, which will improve the quality of learning. It is planned that the new software will be introduced as a service for tutors and school psychologists.

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