Intelligence, creativity, and ‘PLines’ computer game performance by middle school age students

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Abstract

The article presents the results of the study of the relations of psychometric parameters of intelligence and creativity of middle school age students with the efficiency of their problem solving in a computer game, a variant of the famous game “Lines”. The computer game performance was estimated in the final game score. The presence of a weak, but significant positive relationship between the final game score and the indicators of creativity, but not of intelligence, was shown. The obtained empirical data are discussed from the prospects of the use of a computer game as a special diagnostic tool for cognitive abilities, and those psychological variables that can be analyzed as relevant factors for high computer game performance.

General Information

Keywords: intellect, creativity, efficiency of their problem solving, computer game “PLines”

Journal rubric: Psychology of Intelligence

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2020130109

For citation: Margolis A.A., Kuravsky L.S., Voitov V.K., Gavrilova E.V., Ermakov S.S., Petrova G.A., Shepeleva E.A., Yurkevich V.S. Intelligence, creativity, and ‘PLines’ computer game performance by middle school age students. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2020. Vol. 13, no. 1, pp. 122–137. DOI: 10.17759/exppsy.2020130109. (In Russ., аbstr. in Engl.)

References

  1. Valueva E.A., Belova S.S. Diagnostika tvorcheskikh sposobnostei: metody, problemy, perspektivy [Diagnostics of creative abilities: methods, problems, prospects] // Tvorchestvo: ot biologicheskikh predposylok k kul’turnym fenomenam [Creativity: from biological prerequisites to cultural phenomena] / Kollektivnaya monografiya pod red. D.V. Ushakova. M., Izdatel’stvo IP RAN, 2011, pp. 625—648. (In Russ.).
  2. Kornilov S. A., Tan M., Khimenko D.D., Frolova E.S., Mokrinskii G.M., Sternberg R.Dzh, Grigorenko E.L. Proekt Avrora: kompleksnaya diagnostika detskoi odarennosti [Project Aurora: a comprehensive diagnosis of child giftedness] // Psikhologiya. Zhurnal Vysshei Shkoly ekonomii [Psychology. Journal of the Higher School of Economics], 2009, vol. 6, no. 3, pp. 117—125. (In Russ.).
  3. 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.).
  4. Kuravskii L.S., Marmalyuk P.A., Alkhimov V.I., Yur’ev G.A. 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: http://psyjournals.ru/files/57359/ exp_2012_n4_Kuravsky.pdf (Accessed 17.09.2018). (In Russ., abstr. in Engl.).
  5. Margolis A.A., Kuravskii L.S., Shepeleva E.A., Gavrilova E.V., Petrova G.A., Voitov V.K., Yurkevich V.S., Ermakov S.S. Vozmozhnosti komp’yuternoi igry «Plines» kak instrumenta diagnostiki kompleksov kognitivnykh sposobnostei shkol’nikov [Elektronnyi resurs] [Possibilities of the computer game “Plines” as a tool for diagnosing complexes of school children’s cognitive abilities]// Sovremennaya zarubezhnaya psikhologiya [[Modern foreign psychology]], 2018, vol. 7, no. 3, pp. 38—52. doi:10.17759/jmfp.2018070304. (In Russ.).
  6. Markovskie modeli v zadachakh diagnostiki i prognozirovaniya: Uchebnoe posobie [Markov models in problems of diagnostics and forecasting: Tutorial]. / Pod red. L.S. Kuravskogo. M.: RUSAVIA, 2013. 172 p. (In Russ.).
  7. 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.).
  8. Sorokova M.G., Ermakov S.S. Gendernye osobennosti razvitiya intellekta uchenikov VI—X klassov [Elektronnyi resurs] [Gender features of the development of the intellect of students of grades VI—X] // Psikhologicheskaya nauka i obrazovanie [Psychological Science and Education]. 2014. Vol. 6. no. 4, pp. 56— 70. doi:10.17759/psyedu.2014060406. (In Russ.).
  9. Fedorov A.V. Kratkaya istoriya komp’yuternykh igr v Rossii [A brief history of computer games in Russia] // Mediaobrazovanie [Media Education]. 2013. no. 4, pp. 138—147. (In Russ.).
  10. Carroll, J.B. Human cognitive abilities. A survey of factor-analytic studies. NewYork: Cambridge University Press.,1993, 32 p.
  11. Foroughi C.K., Serraino C., Parasuraman R., & Boehm-Davis D.A. (2016). Can we create a measure of fluid intelligence using Puzzle Creator within Portal 2? Intelligence, vol. 56, pp. 58—64. doi:10.1016/j. intell.2016.026.011
  12. Gallagher D., Grimm L.R. Making an impact: The effects of game making on creativity and spatial processing. Thinking Skills and Creativity. 2018, vol. 28, pp. 138—149. doi:10.1016/j.tsc.2018.05.001.
  13. Harley B., Hart D. Language aptitude and second language proficiency in classroom learners of different starting ages // Studies in Second Language Acquisition. 1997. Vol. 19. № 3. P. 379—400.
  14. Hawkins, G.E., Rae B., Nesbitt K.V, & Brown S.D. Gamelike features might not improve data. Behavior Research Methods. 2013, vol. 45, no. 2, pp. 301—318. doi:10.3758/s13428-012-0264-3
  15. Kuravsky L.S., Marmalyuk P.A., Baranov S.N., Alkhimov V.I., Yuryev G.A. and Artyukhina S.V. 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. Kuravsky L.S. and Baranov S.N. The concept of multifactor Markov networks and its application to forecasting and diagnostics of technical systems. In: Proc. Condition Monitoring 2005. Cambridge, United Kingdom. July 2005, pp. 111—117.
  17. Lumsden J., Edwards E.A., Lawrence N.S., Coyle D., & Munafò M.R. Gamification of Cognitive Assessment and Cognitive Training: A Systematic Review of Applications and Efficacy. JMIR Serious Games. 2016, vol. 4, no. 2. e11. doi:10.2196/games.5888
  18. Lumsden J., Skinner A., Woods A.T., Lawrence N.S., & Munafò M. The effects of gamelike features and test location on cognitive test performance and participant enjoyment. 2016. PeerJ 4: e2184. doi:10.7717/ peerj.2184
  19. 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
  20. Quiroga M.Á., Román F.J., Catalán A., Rodríguez H., Ruiz J., Herranz M., … Colom R. Videogame Performance (Not Always) Requires Intelligence. International Journal of Online Pedagogy and Course Design. 2011, vol. 1, no. 3, pp. 18—32. doi:10.4018/ijopcd.2011070102
  21. Quiroga M.A., Román F.J., De La Fuente J., Privado J., & Colom R. The Measurement of Intelligence in the XXI Century using Video Games. The Spanish Journal of Psychology. 2016. 19:E89. doi:10.1017/sjp.2016.84
  22. Quiroga M.A., Escorial S., Roman F.J., Morillo D., Jarabo A., Privado J., … Colom R. Can we reliably measure the general factor of intelligence (g) through commercial video games? Yes, we can! Intelligence, 2015, vol. 53, pp. 1—7. doi:10.1016/j.intell.2015.08.004
  23. Rabbitt P., Banerji N., & Szymanski A. Space fortress as an IQ test? Predictions of learning and of practised performance in a complex interactive video game. Acta Psychologica,1989, vol. 71, pp. 243—257.

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

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

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

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

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

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

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

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