IDEAS home Printed from https://ideas.repec.org/a/adf/journl/y2021id1409.html
   My bibliography  Save this article

Digital footprint in predicting school graduates’ educational strategy

Author

Listed:
  • N. K. Gabdrakhmanov
  • V. V. Orlova
  • Yu. K. Aleksandrova

Abstract

This research article aims at evaluating the results of the school graduates’ educational strategy transformation with the help of digital footprint data. The analysis of official and unofficial Internet communities of universities in the social network «VKontakte» shows that their active users are school graduates, who thus receive the necessary information about the university. The method presented can become a promising tool to forecast the demand for higher education. The study covers the period from 2019 to 2021, a total of 502 thousand user profiles having been identified, 246 thousand accounts included in the final sample. The results show that during the analyzed period the number of user subscriptions to university communities has decreased in all Russian regions. The orientation towards universities located in other regions has also changed: these were more popular before the pandemic, being subscribed to by the majority of students, whereas after the spread of COVID-19, most of the graduates began to choose universities located in their native region. A significant limitation of this method is that a number of profiles are closed, which logically does not allow to use them in further analysis. The results of the study show, however, high validity and wide opportunities for the use of the digital footprint method when predicting young people’s educational trajectory and planning the enrollment campaign, both on the scale of the university and the whole country.

Suggested Citation

  • N. K. Gabdrakhmanov & V. V. Orlova & Yu. K. Aleksandrova, 2021. "Digital footprint in predicting school graduates’ educational strategy," University Management: Practice and Analysis, Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin»; Non-Commercial Partnership “University Management: Practice and, vol. 25(3).
  • Handle: RePEc:adf:journl:y:2021:id:1409
    DOI: 10.15826/umpa.2021.03.023
    as

    Download full text from publisher

    File URL: https://www.umj.ru/jour/article/viewFile/1409/1108
    Download Restriction: no

    File URL: https://libkey.io/10.15826/umpa.2021.03.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Justine S. Hastings & Jeffrey M. Weinstein, 2008. "Information, School Choice, and Academic Achievement: Evidence from Two Experiments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(4), pages 1373-1414.
    2. Vera Maltseva & Alexey Shabalin, 2021. "The Non-Bypass Trajectory, or The Boom in Demand for TVET in Russia," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 10-42.
    3. Alexey Bessudnov & Dmitry Kurakin & Valeriya Malik, 2017. "The Myth about Universal Higher Education: Russia in the International Context," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 83-109.
    4. David J. Deming, 2011. "Better Schools, Less Crime?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 2063-2115.
    5. repec:hig:moneco:v::y:2020:i:7:p:1-5 is not listed on IDEAS
    6. Daniil Alexandrov & Ksenia Tenisheva & Svetlana Savelyeva, 2015. "No-Risk Mobility: Through College to University," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 66-91.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Song, Yang, 2019. "Sorting, school performance and quality: Evidence from China," Journal of Comparative Economics, Elsevier, vol. 47(1), pages 238-261.
    2. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    3. Diether W Beuermann & C Kirabo Jackson & Laia Navarro-Sola & Francisco Pardo, 2023. "What is a Good School, and Can Parents Tell? Evidence on the Multidimensionality of School Output," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 65-101.
    4. Edmark, Karin & Frölich, Markus & Wondratschek, Verena, 2014. "Sweden's school choice reform and equality of opportunity," Labour Economics, Elsevier, vol. 30(C), pages 129-142.
    5. Peter Bergman & Isaac McFarlin Jr., 2018. "Education for All? A Nationwide Audit Study of School Choice," NBER Working Papers 25396, National Bureau of Economic Research, Inc.
    6. Will Dobbie & Roland G. Fryer, Jr., 2011. "Exam High Schools and Academic Achievement: Evidence from New York City," NBER Working Papers 17286, National Bureau of Economic Research, Inc.
    7. Stephen B. Billings & Eric Chyn & Kareem Haggag, 2021. "The Long-Run Effects of School Racial Diversity on Political Identity," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 267-284, September.
    8. Zhang, Hongliang, 2016. "Identification of treatment effects under imperfect matching with an application to Chinese elite schools," Journal of Public Economics, Elsevier, vol. 142(C), pages 56-82.
    9. David J. Deming & Justine S. Hastings & Thomas J. Kane & Douglas O. Staiger, 2014. "School Choice, School Quality, and Postsecondary Attainment," American Economic Review, American Economic Association, vol. 104(3), pages 991-1013, March.
    10. Andreas R. Kostøl & Andreas S. Myhre, 2021. "Labor Supply Responses to Learning the Tax and Benefit Schedule," American Economic Review, American Economic Association, vol. 111(11), pages 3733-3766, November.
    11. Andrew Dustan & Alain de Janvry & Elisabeth Sadoulet, 2017. "Flourish or Fail?: The Risky Reward of Elite High School Admission in Mexico City," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 756-799.
    12. Christian Dustmann & Mikkel Mertz & Anna Okatenko, 2023. "Neighbourhood Gangs, Crime Spillovers and Teenage Motherhood," The Economic Journal, Royal Economic Society, vol. 133(653), pages 1901-1936.
    13. Bobba, Matteo & Frisancho, Veronica, 2022. "Self-perceptions about academic achievement: Evidence from Mexico City," Journal of Econometrics, Elsevier, vol. 231(1), pages 58-73.
    14. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja, 2017. "Report Cards: The Impact of Providing School and Child Test Scores on Educational Markets," American Economic Review, American Economic Association, vol. 107(6), pages 1535-1563, June.
    15. Hausman, Catherine & Stolper, Samuel, 2021. "Inequality, information failures, and air pollution," Journal of Environmental Economics and Management, Elsevier, vol. 110(C).
    16. Clément de Chaisemartin & Luc Behaghel, 2020. "Estimating the Effect of Treatments Allocated by Randomized Waiting Lists," Econometrica, Econometric Society, vol. 88(4), pages 1453-1477, July.
    17. Trajkovski, Samantha & Zabel, Jeffrey & Schwartz, Amy Ellen, 2021. "Do school buses make school choice work?," Regional Science and Urban Economics, Elsevier, vol. 86(C).
    18. Dionissi Aliprantis, 2011. "Assessing the evidence on neighborhood effects from moving to opportunity," Working Papers (Old Series) 1101, Federal Reserve Bank of Cleveland.
    19. Chao Fu & Nicolás Grau & Jorge Rivera, 2022. "Wandering astray: Teenagers' choices of schooling and crime," Quantitative Economics, Econometric Society, vol. 13(2), pages 387-424, May.
    20. David J. Deming & Sarah Cohodes & Jennifer Jennings & Christopher Jencks, 2016. "School Accountability, Postsecondary Attainment, and Earnings," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 848-862, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adf:journl:y:2021:id:1409. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.