Computer Implementation of the Self-Knowledge System

0

Abstract

The paper discusses the issues of developing an information system for self-knowledge training. The development tools and requirements for them have been identified, the main components of the system have been developed, and test results have been obtained.

General Information

Keywords: simulation, training, information system, personality testing, self-knowledge, career guidance

Journal rubric: Software

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2024140309

Received: 08.09.2024

For citation: Savenkov E.A., Nurkaeva I.M., Katyshev D.A. Computer Implementation of the Self-Knowledge System. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2024. Vol. 14, no. 3, pp. 149–173. DOI: 10.17759/mda.2024140309. (In Russ., аbstr. in Engl.)

References

  1. Decree of the Government of the Russian Federation dated 05/13/2021 No. 729 «On measures to implement the strategic academic leadership program «Priority 2030».
  2.  Zhuravlev A.L. Prospects of psychology in solving the problems of Russian society. Part II. Conceptual foundations / A.L. Zhuravlev, D.V. Ushakov, A.V. Yurevich // Psychological Journal / Ed. by B.F. Lomov, A.V. Brushlinsky. – 2013. – Volume 34 No. 2 March-April 2013. – pp. 70–86.
  3.  Kasavin I. T. David Hume and modern epistemology // Epistemology and Philosophy of Science. 2011. No.1.
  4. Borisova S.E. Psychological technique «Self-knowledge» and its application in training and consulting work // Psychopedagogy in law enforcement agencies. 2014. No. 4. – p. 59.
  5. Borisova S.E., Leonova I.A. Interdisciplinary approach to professional development of psychologists of traffic police departments // Psychopedagogy in law enforcement agencies. 2013. No. 1. – p. 52.
  6.  Melik-Pashaev A.A., Novlyanskaya Z.N., Adaskina A.A., Kudina G.N., Chubuk N.F. Psychological Foundations of Artistic Development. Moscow: Moscow City Psychological and Pedagogical University, 2005. – p. 52.
  7.  Ambika A. et al. The road to learning “who am I” is digitized: A study on consumer self‐discovery through augmented reality tools // Journal of Consumer Behaviour. – 2023. – Т. 22. –№. 5. – pp. 1112–1127.
  8.  Dalgarno B., Kennedy G., Bennett S. An oz study exploring cognitive processing during computerbased discovery learning. – 2014.
  9. De Bruin A.B.H., Rikers R.M.J.P., Schmidt H.G. Monitoring accuracy and self-regulation when learning to play a chess endgame // Applied Cognitive Psychology. – 2005. – Т. 19. – №. 2. –pp. 167–181.
  10. Ekelund K. et al. Evaluation of the simulation-based training quality assurance tool (SBT-QA10) as a measure of learners’ perceptions during the action phase of simulation // BMC Medical Education. – 2023. – Т. 23. – №. 1. – p. 290.
  11.  Greene J.A., Azevedo R.A theoretical review of Winne and Hadwin’s model of self-regulated learning: New perspectives and directions // Review of educational research. – 2007. – Т. 77. – №. 3. – pp. 334–372.
  12. Hui A.N.N. et al. The relationships among simulation-based learning, creativity, and the learning approach in higher education // Creative and Collaborative Learning through Immersion: Interdisciplinary and International Perspectives. – Cham : Springer International Publishing, 2021. – pp. 89–104.
  13. Kluge A., Bakken S.M. Simulation as science discovery: Ways of interactive meaning-making // Research and Practice in Technology Enhanced Learning. – 2010. – Т. 5. – №. 03. – pp. 245–273.
  14. Lei P.L. et al. The Design of social agents that introduce self-reflection in a simulation environment // Journal of Educational Technology & Society. – 2013. – Т. 16. – №. 3. – pp. 152–166.
  15. Miwa K., Yamakawa M., Kojima K. Introduction of Computer-Based Simulated Experiments in University Psychology Class: A Class Practice of Learning Dual Storage Model of Human Memory // International Association for Development of the Information Society. – 2022.
  16.  Soundy A. et al. Psychological skills training using simulated practice for brief therapeutic interactions // International Journal of Healthcare Simulation (IJoHS). – 2023. – №. Feb. – pp. 1–14.
  17. Tan J. et al. Providing Guidance and Opportunities for Self-Assessment and Transfer in a Simulation Environment for Discovery Learning // Proceedings of the Annual Meeting of the Cognitive Science Society. – 2007. – Т. 29. – №. 29.
  18. Thao N.P., Tron N.H., Loc N.P. Discovery learning based on simulation: A case of surfaces of revolution // Universal Journal of Educational Research. – 2020. – Т. 8. – №. 8. – pp. 3430–438.
  19. Clark, Jim & Paivio, Allan. (1991). Dual Coding Theory and Education. Educational Psychology Review. – 1991. – №. 3. – pp. 149–210.
  20. Bieri, J. (1966). Cognitive Complexity and Personality Development. In: Harvey, O.J. (eds) Experience Structure & Adaptability. Springer, Berlin, Heidelberg.
  21. Clark, Jim & Paivio, Allan. Dual Coding Theory and Education. Educational Psychology Review. – 1991. – №. 3. – pp. 149–210

Information About the Authors

Egor A. Savenkov, Junior Researcher, Laboratory "Information Technologies for Psychological Diagnostics", Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0009-0009-8510-0468, e-mail: easavenkov42@gmail.com

Irina M. Nurkaeva, PhD in Education, Associate Professor of the Department of Applied Informatics and Multimedia Technologies, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-1949-6734, e-mail: nurkaevaim@yandex.ru

Dmitriy A. Katyshev, Junior Researcher, Laboratory "Information Technologies for Psychological Diagnostics", Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0009-0002-7900-6431, e-mail: katyshevda@mgppu.ru

Metrics

Views

Total: 2
Previous month: 0
Current month: 2

Downloads

Total: 0
Previous month: 0
Current month: 0