Сomputer tools in the analysis of students' digital footprints in social network: possibilities and primary results

Authors

  • Татьяна Валентиновна Тулупьева SPIIRAN, St. Petersburg, Russia; SPbSU, St. Petersburg, Russia; RANEPA, St. Petersburg, Russia
  • Алёна Владимировна Суворова SPIIRAN, St. Petersburg, Russia; Higher School of Economics, Moscow, Russia
  • Артур Александрович Азаров SPIIRAN, St. Petersburg, Russia; SPbSU, St. Petersburg, Russia; Moscow state university of education, Moscow, Russia
  • Александр Львович Тулупьев SPIIRAN, St. Petersburg, Russia; SPbSU, St. Petersburg, Russia
  • Нина Валентиновна Бордовская SPbSU, St. Petersburg, Russia

Keywords:

social networks, psychological traits, digital footprints, research automation

Abstract

In the paper we discussed the results of pilot study aimed to determine associations between type of user's posts in social network VKontakte and his/her psychological traits. We considered the possible ways to apply user account analysis as a rapid primary test in student groups. We provided examples of both open and already closed automation tasks that appeared during the development of the research tool.

Author Biographies

  • Татьяна Валентиновна Тулупьева, SPIIRAN, St. Petersburg, Russia; SPbSU, St. Petersburg, Russia; RANEPA, St. Petersburg, Russia

    Tulupyeva T. V.

  • Алёна Владимировна Суворова, SPIIRAN, St. Petersburg, Russia; Higher School of Economics, Moscow, Russia

    Suvorova A.V.

  • Артур Александрович Азаров, SPIIRAN, St. Petersburg, Russia; SPbSU, St. Petersburg, Russia; Moscow state university of education, Moscow, Russia

    Azarov A. A.

  • Александр Львович Тулупьев, SPIIRAN, St. Petersburg, Russia; SPbSU, St. Petersburg, Russia

    Tulupyev A. L.

  • Нина Валентиновна Бордовская, SPbSU, St. Petersburg, Russia

    Bordovskaya N. V.

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Published

2017-07-16

Issue

Section

Informational systems

How to Cite

[1]
Т. В. Тулупьева, А. В. Суворова, А. А. Азаров, А. Л. Тулупьев, and Н. В. Бордовская, “Сomputer tools in the analysis of students’ digital footprints in social network: possibilities and primary results”, Computer Tools in Education, no. 5, pp. 3–13, Jul. 2017, Accessed: Jul. 24, 2026. Available: http://cte.eltech.ru/ojs/index.php/kio/article/view/1451

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