Potential of the computer game «Plines» as a tool for differentiating the cognitive abilities of schoolchildren



The article presents the results of an empirical study of the interrelation between dynamic and total individual performance indicators of gaming behavior in the "PLines" game with test measurements of general intelligence and divergent creativity (N = 151). It is demonstrated that the dynamics of point accumulation in the game can be used, with a great likelihood, for relating subjects to determined groups with a certain level of ability (high intelligence and creativity vs low intelligence and creativity). The data that it is the high-test indicators of cognitive abilities that determine the effectiveness of the gaming behavior of the subjects, and not vice versa is another fundamental result of the study. The subjects of discussion are the prospects for further use of this computer game in the diagnosis of ability sets in real life, the need to expand the pool of investigated psychological indicators that contribute to decision making in a situation of uncertainty, and the benefits of referring to the procedural characteristics of solving problems in psychological diagnostics.

General Information

Keywords: computer games, gaming behavior, gamification, cognitive abilities, methods of psychological diagnostic in education

Journal rubric: Educational Psychology and Pedagogical Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/jmfp.2018070304

For citation: Margolis A.A., Kuravsky L.S., Shepeleva E.A., Gavrilova E.V., Petrova G.A., Voitov V.K., Yurkevich V.S., Ermakov S.S. Potential of the computer game «Plines» as a tool for differentiating the cognitive abilities of schoolchildren [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2018. Vol. 7, no. 3, pp. 38–52. DOI: 10.17759/jmfp.2018070304. (In Russ., аbstr. in Engl.)


  1. Voiskunskii A.E., Bogacheva N.V. Komp'yuternye igry i kreativnost': pozitivnye aspekty i negativnye tendentsii [Computer games and creativity: positive aspects and negative trends]. Sovremennaya zarubezhnaya psikhologiya [Modern foreign psychology], 2017, vol. 6, no. 4, pp. 29–40. doi:10.17759/jmfp.2017060403 (In Russ., abstr. in Engl.).
  2. Voitov V.K. Mnogopol'zovatel'skie sistemy psikhologicheskogo testirovaniya na osnove komp'yuternykh igr [Multi-user psychological testing systems based on computer games]. Tezisy dokladov XVI Vserossiiskoi nauchnoi konferentsii "Neirokomp'yutery i ikhprimenenie" [Abstracts of the XVI All-Russian Scientific Conference "Neurocomputers and their application"]. Moskva, 2018, pp. 225–226. (In Russ.).
  3. Kaneman D. Dumai medlenno… reshai bistro [Think slowly ... decide quickly]. Moskva: ASR, 2014. 710 p. (In Russ.).
  4. Kornilova T.V. Printsip neopredelennosti v psikhologii vybora i riska [Elektronnyi resurs] [The uncertainty principle in the psychology of choice and risk]. Psikhologicheskie issledovaniya [Psychological Studies], 2015, vol. 8, no. 40, 16 p. Available at: http://psystudy.ru/num/2015v8n40/1111-kornilova40.html (Accessed 17.09.2018). (In Russ.).
  5. Kornilova T.V., Chumakova M.A., Kornilov S.A. Intellekt i uspeshnost' strategii prognozirovaniya pri vypolnenii Aiova–testa (igt) [Intellect and Successful Forecasting Strategies for Performing the Iowa – Test (igt)]. Psikhologiya. Zhurnal Vysshei Shkoly ekonomiki [Psychology. Journal of the Higher School of Economics], 2018, vol. 15, no. 1, pp. 10–21. doi:10.17323/1813-8918-2018-1-10-21 (In Russ.).
  6. Kuravskii L.S., Baranov S.N., Kornienko P.A. Obuchaemye mnogofaktornye seti Markova i ikh primenenie dlya issledovaniya psikhologicheskikh kharakteristik [Markov's multifactor learning networks and their application for studying psychological characteristics]. Neirokomp'yutery: razrabotka i primenenie [Neurocomputers: development and application], 2005, no. 12, pp. 65–76. (In Russ.).
  7. Markovskie modeli v zadachakh diagnostiki i prognozirovaniya: Ucheb. Posobie [Markov models in problems of diagnostics and forecasting: Proc. manual]. In L.S. Kuravskogo (ed.). M.: RUSAVIA, 2013. 172 p. (In Russ.).
  8. Kuravskii L.S. et al. Matematicheskie osnovy novogo podkhoda k postroeniyu protsedur testirovaniya [Elektronnyi resurs] [Mathematical foundations of the new approach to the construction of testing procedures]. Eksperimental'naya psikhologiya [Experimental Psychology], 2012, vol. 5, no. 4, pp. 75–98. Available at: https://psyjournals.ru/files/57359/exp_2012_n4_Kuravsky.pdf (Accessed 17.09.2018). (In Russ., abstr. in Engl.).
  9. Kornilov S.A. et al. Proekt Avrora: kompleksnaya diagnostika detskoi odarennosti [Project Aurora: a comprehensive diagnosis of children's giftedness]. Psikhologiya. Zhurnal Vysshei Shkoly ekonomiki [Psychology. Journal of the Higher School of Economics], 2009, vol. 6, no. 3, pp. 117–125. (In Russ., abstr. in Engl.).
  10. Raven Dzh.K., Kort Dzh.Kh., Raven Dzh. Rukovodstvo k Progressivnym Matritsam Ravena i Slovarnym Shkalam: Razdel 3: Standartnye Progressivnye Matritsy (vklyuchaya parallel'nye i plyus versii) [Guide to the Progressive Raven Matrices and Vocabulary Scales: Section 3: Standard Progressive Matrices (including parallel and plus versions)]. M.: Kogito–Tsentr, 2002. 144 p. (In Russ.).
  11. Rubtsova O.V., Panfilova A.S., Artemenkov S.L. Issledovanie vzaimosvyazi lichnostnykh osobennostei igrokov podrostkovogo i yunosheskogo vozrasta s ikh povedeniem v virtual'nom prostranstve (na primere gruppovoi komp'yuternoi igry «Dota 2») [Study of the relationship between the personal characteristics of adolescent and youth players with their behavior in the virtual space (on the example of the group computer game “Dota 2”)]. Psikhologicheskaya nauka i obrazovanie [Psychological Science and Education], 2018, vol. 23, no. 1, pp. 137–148. doi:10.17759/pse.2018230112 (In Russ., abstr. in Engl.).
  12. Sorokova M.G., Ermakov S.S. Gendernye osobennosti razvitiya intellekta uchenikov VI–X klassov [Elektronnyi resurs] [Gender features of the development of intelligence of pupils of VI – X classes]. Psikhologicheskaya nauka i obrazovanie psyedu.ru [Psychological Science and Education psyedu.ru], 2014, vol. 6, no. 4, pp. 56–70. doi:10.17759/psyedu.2014060406
  13. El'konin D.B. Detskaya psikhologiya: uchebnoe posobie dlya studentov vysshikh uchebnykh zavedenii [Child psychology: textbook for students of higher educational institutions]. D.B. El'konin; red.–sost. B. D. El'konin. – 4–e izd., ster. – M.: Izdatel'skii tsentr «Akademiya», 2007. 384 p. (In Russ.).
  14. McClarty K.L. et al. A Literature Review of Gaming in Education. Gaming in education, 2012, pp. 1–35.
  15. Kuravsky L.S. et al. A New Technique for Testing Professional Skills and Competencies and Examples of its Practical Applications. Applied Mathematical Sciences, 2015, vol. 9, no. 21, pp. 1003–1026. doi:10.12988/ams.2015.411899
  16. Barkl S., Porter A., Ginns P. Cognitive training for children: Effects on inductive reasoning, deductive reasoning, and mathematics achievement in an Australian school setting. Psychology in the Schools, 2012, vol. 49, no. 9, pp. 828–842. doi:10.1002/pits.21638
  17. Blackwell T. Test Review: Woodcock R.W., McGrew K.S., & Mather N. Woodcock–Johnson III Test. Riverside Publishing Company. Itasca, IL. Rehabilitation Counseling Bulletin, 2001, vol. 44, no. 4, pp. 232–235. doi:10.1177/003435520104400407
  18. Chu M.W., Chiang A. Raging Skies: Development of a Digital Game-Based Science Assessment using Evidence-Centered Game Design [Elektronnyi resurs]. Alberta Science education journal, 2018, vol. 45, no. 2, pp. 37–47. Available at: https://prism.ucalgary.ca/handle/1880/107765 (Accessed 17.09.2018).
  19. Hummel H.G.K. et al. Content Validity of Game-based Assessment: Case study of a Serious Game for ICT managers in training. Technology, Pedagogy and Education, 2017, vol. 26, no. 2, pp. 225–240. doi:10.1080/1475939X.2016.1192060
  20. Hawkins G.E. et al. Gamelike features might not improve data. Behavior Research Methods, 2013, vol. 45, no. 2, pp. 301–318. doi:10.3758/s13428–012–0264–3
  21. Lumsden J. et al. Gamification of Cognitive Assessment and Cognitive Training: A Systematic Review of Applications and Efficacy. JMIR Serious Games, 2016, vol. 4, no. 2, 14 p. doi:10.2196/games.5888
  22. Ifenthaler D., Deniz E., Xun E. Assessment in Game-Based Learning: Foundations, Innovations, and Perspectives. New York; London: Springer Press, 2012. 257 pp.
  23. Kuravsky L.S., Baranov S.N. The concept of multifactor Markov networks and its application to forecasting and diagnostics of technical systems. Proc. Condition Monitoring. United Kingdom, Cambridge, 2005. pp. 111–117.
  24. McPherson J., Burns N.R. Assessing the validity of computer-game-like tests of processing speed and working memory. Behavior Research Methods, 2008, vol. 40, no. 4, pp. 969–981. doi:10.3758/BRM.40.4.969
  25. Godwin K.E. et al. Monster Mischief: Designing a Video Game to Assess Selective Sustained Attention. International Journal of Gaming and Computer-Mediated Simulations, 2015, vol. 7, no. 4, pp. 18–39. doi:10.4018/IJGCMS.2015100102
  26. Shute V.J., Ke F., Wang L. Assessment and Adaptation in Games. In Wouters P., Van Oostendorp H. (Eds.) Instructional Techniques to Facilitate Learning and Motivation of Serious Games. Cham, Switzerland : Springer, 2016, pp. 59–78. doi:10.1007/978-3-319-39298-1_4
  27. Shute V.J., Ventura M., Ke F. The power of play: The effects of Portal 2 and Lumosity on cognitive and noncognitive skills. Computers and education, 2015, vol. 80, pp. 58–67. doi:10.1016/j.compedu.2014.08.013
  28. Sternberg R.J. The Theory of Successful Intelligence. Review of General Psychology, 1999, vol. 3, no. 4, pp. 292–316.
  29. Lumsden J. et al. The effects of gamelike features and test location on cognitive test performance and participant enjoyment. PeerJ, 2016, no. 4, e2184, 15 p. doi:10.7717/peerj.2184

Information About the Authors

Arkadiy A. Margolis, PhD in Psychology, Rector, Professor, Chair of Pedagogical Psychology, Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0000-0001-9832-0122, e-mail: margolisaa@mgppu.ru

Lev S. Kuravsky, Doctor of Engineering, professor, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-3375-8446, e-mail: l.s.kuravsky@gmail.com

Elena A. Shepeleva, PhD in Psychology, Senior Research Fellow of the Sector "Center for Cognitive Research of the Digital Educational Environment" CIRCC, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0001-9867-6524, e-mail: shepelevaea@mgppu.ru

Evgeniya V. Gavrilova, PhD in Psychology, Research Fellow, Centre of Applied Researches in Psychology and Education, Moscow State University of psychology and education (MSUPE), Moscow, Russia, ORCID: https://orcid.org/0000-0003-0848-3839, e-mail: gavrilovaev@mgppu.ru

Galina A. Petrova, PhD in Psychology, Junior Scientific Fellow, Giftedness Diagnosis Department, Moscow State University of Psychology & Education, researcher at the laboratory of clinical psychology and psychotherapy of the Moscow Research Institute of Psychiatry, Moscow, Russia, ORCID: https://orcid.org/0000-0002-4931-8728, e-mail: kharlashina-galina@yandex.ru

Vladimir K. Voitov, PhD in Engineering, Professor at the Faculty of Information Technology, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0001-6486-3049, e-mail: vojtovvk@mgppu.ru

Viktoriya S. Yurkevich, PhD in Psychology, Professor, Chair of Theoretical and Experimental Foundations of Social Psychology, Department of Social Psychology, Head of Resource Center for Giftedness, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-3575-7586, e-mail: vinni-vi@mail.ru

Sergey S. Ermakov, PhD in Psychology, Senior Researcher of the Laboratory "Information Technologies for Psychological Diagnostics" Associate Professor of the Department of "Age Psychology named after Professor L.F.Obukhova" of the Faculty of "Psychology of Education", Associate Professor of the Department of "Applied Mathematics" of the Faculty of "Information Technology"., Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-4330-2618, e-mail: ermakovss@mgppu.ru



Total: 1790
Previous month: 15
Current month: 12


Total: 682
Previous month: 11
Current month: 0