Skip to Main Content

Modelling and Data Analysis
2021. Vol. 11, no. 1, 94–108
https://doi.org/10.17759/mda.2021110107
ISSN: 2219-3758 / 2311-9454 (online)

New Psychological Testing Tools

 
Audio is AI-generated
286

, , , ,

PDF (RUS)
Online translation in english
GS
Information
in Google Scholar
Metrics

Abstract

The article provides a detailed description of the diagnostic game system PLines, which was previously described in the journal, discusses the features of conducting research in individual and pair modes, objective indicators of player activity, the use of which, together with the recording of a number of indicators of universal learning activities (ECD): the ability to plan, analyze and reflect, allows you to study more deeply the structure of game behavior and its relationship with personal qualities that are inaccessible to direct observation. The functional components of the system are described, and the methods of storing, extracting, and analyzing the results of experiments are described.

General Information

Keywords: computer games, gaming behavior, gamification, cognitive abilitiesmethods of psychological diagnostic in education.

Journal rubric: Method of Teaching

OpenAlex citations: 4

OpenAlex topics: Cognitive Abilities and Testing, Technology and Human Factors in Education and Health, Psychology of Development and Education

Information about the work in OpenAlex

Number of citations: 4

Topics

Cognitive Abilities and Testing

This cluster of papers explores the effects of working memory training on cognitive abilities, including intelligence, and its relationship with genetic influences, socioeconomic status, and brain plasticity. It also investigates the impact of video game training on cognitive control and the role of twin studies in understanding these phenomena.

Number of works: 64502  |  Total number of citations: 1341177

Topic detailsв OpenAlex

Technology and Human Factors in Education and Health

This cluster of papers explores the future of personalized medicine in healthcare, focusing on topics such as artificial intelligence, healthcare technology, medical innovation, ergonomics, biomedical signal analysis, digital health, cyber-physical systems, healthcare automation, and clinical decision support. The papers cover a wide range of interdisciplinary research related to advancing personalized medical treatments and technologies.

Number of works: 27101  |  Total number of citations: 82403

Topic detailsв OpenAlex

Psychology of Development and Education

This cluster of papers explores various aspects of psychology in education, focusing on topics such as the Zone of Proximal Development, inclusive education, cultural-historical theory, educational environment, psychological well-being, teacher training, learning motivation, adolescent development, social cognition, and digital learning. The papers delve into the intersection of psychology and education to understand the developmental processes and challenges in educational settings.

Number of works: 81372  |  Total number of citations: 371589

Topic detailsв OpenAlex

Work details in OpenAlex

DOI: https://doi.org/10.17759/mda.2021110107

Published

For citation: Voitov, V.K., Shepeleva, E.A., Gavrilova, E.V., Dumin, P.N., Ermakov, S.S. (2021). New Psychological Testing Tools. Modelling and Data Analysis, 11(1), 94–108. (In Russ.). https://doi.org/10.17759/mda.2021110107

© Voitov V.K., Shepeleva E.A., Gavrilova E.V., Dumin P.N., Ermakov S.S., 2021

License: CC BY-NC 4.0

References

  1. Voitov V.K., Kosikhin V.V., Ushakov D.V. Rabochaya pamyat’ kak perspektivnyi konstrukt kognitivnoi psikhologii i metody ego izmereniya. Modelirovanie i analiz dannykh. 2015. № 1. p. 57–78.
  2. Voitov, V.K. Raschet znachenii slozhnostei zadanii dlya adaptivnogo testa. Ehksperimental’naya psikhologiya. 2013. T.6, № 2. p. 120–128.
  3. Voitov V.K. Osobennosti programmnoi realizatsii adaptivnogo testa obshchego intellekta Bertlinga- Khollinga. – Modelirovanie i analiz dannykh, 2013, № 1, p. 110–115.
  4. Voitov V.K. Ispol’zovanie igry PLines dlya psikhologicheskogo testirovaniya. Modelirovanie I analiz dannykh 2018. № 1. p. 39–51 ISSN: 2219–3758 / 2311–9454 (online).
  5. Voitov V.K. Mnogopol’zovatel’skie sistemy psikhologicheskogo testirovaniya na osnove komp’yuternykh igr. V knige: Neirokomp’yutery i ikh primenenie XVI Vserossiiskaya nauchnaya konferentsiya: tezisy dokladov. 2018. p. 225–226.
  6. Khol’tsner S. jQuery. Prakticheskoe primenenie. . Stiven Khol’tsner. M.: Ehksmo, 2010. – 334 p.
  7. Ehspozito D. Razrabotka veb-prilozhenii s ispol’zovaniem ASP.net i Ajax. SPb.: Piter. 2012. – 400 p.
  8. Davydov V.V. Teoriya razvivayushchego obucheniya. Moskva: INTOR, 1996. – 544 p.
  9. Davydov V.V. O ponyatii razvivayushchego obucheniya. Sbornik statei. Tomsk: “Peleng”, 1995. – 144 p.
  10. Guruzhapov V. A. K voprosu o predmetnoi diagnostike teoreticheskogo myshleniya detei v razvivayushchem obuchenii . Psikhologicheskaya nauka i obrazovanie − 1997. Tom 2. № 4. p. 103–106.
  11. Zak, A.Z. Diagnostika teoreticheskogo myshleniya u mladshikh shkol’nikov. Psikhologicheskaya nauka i obrazovanie – 1997. Tom 2. № 2. p. 36–41.
  12. Ermakov S.S. Zarubezhnye obrazovatel’nye programmy dlya odarennykh uchashchikhsya [Ehlektronnyi resurs] Sovremennaya zarubezhnaya psikhologiya. 2014. Tom 3. № 2. p. 72–83. URL:https://psyjournals.ru/jmfp/2014/n2/70109.shtml (data obrashcheniya: 28.05.2020).
  13. 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 [Ehlektronnyi resurs]. Sovremennaya zarubezhnaya psikhologiya. 2018. Tom 7. № 3. p. 38–52. doi:10.17759/jmfp.2018070304.
  14. Margolis A.A., Kuravskii L.S., Voitov V.K., Gavrilova E.V., Ermakov S.S., Petrova G.A., Shepeleva E.A., Yurkevich V.S. Intellekt, kreativnost’ i uspeshnost’ resheniya zadach uchashchimisya srednego shkol’nogo vozrasta v komp’yuternoi igre «PLines» . Ehksperimental’naya psikhologiya. 2020. Tom 13. № 1. p. 122–137. doi:10.17759/exppsy.2020130109

Information About the Authors

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

Elena A. Shepeleva, Candidate of Science (Psychology), Leading Researcher, Institute of Psychology, Russian Academy of Sciences, Moscow State University of Psychology & Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-9867-6524, e-mail: shepelevaea@mgppu.ru

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

Pavel N. Dumin, Candidate of Science (Physics and Matematics), head of laboratory of quantitative psychology, faculty of information technologies, Moscow State University of Psychology and Education (MSUPE), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-9122-252X, e-mail: duminpn@gmail.com

Sergey S. Ermakov, Candidate of Science (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, Russian Federation, ORCID: https://orcid.org/0000-0003-4330-2618, e-mail: ermakovss@mgppu.ru

Metrics

 Web Views

Whole time: 875
Previous month: 30
Current month: 7

 PDF Downloads

Whole time: 286
Previous month: 16
Current month: 5

 Total

Whole time: 1161
Previous month: 46
Current month: 12