Development of the Information System for Psychological Diagnostics

The article deals with the information system, which is a prototype of an adaptive simulator created on the basis of the realization of Markov processes for psychological diagnostics, adapting the difficulty and complexity of tasks in accordance with the diagnostic assessment in real time. The description of the system for adaptive diagnostics of user readiness level based on Markov models is presented. The system allows estimating the user's readiness level by giving him/her tasks of different difficulty and complexity according to the Markov process. An algorithm for creating tasks with a high order of detailing the complexity gradient, on the example of the subject area of professional counseling, for the purpose of diagnosing abilities is formed. In case of incorrect answers or exceeding time limits, the user falls into a "trap" where he/she receives simpler tasks with hints. Examples illustrating the application of the information system are given, as well as the results of approbation.

1. Kolyada M.G., Bugaeva T.I., Miklashevich N.V. Adaptivnoe testirovanie s vozmozhnostyami iskusstvennogo intellekta // MOO «Akademiya informatizatsii obrazovaniYA». Orel: Izd. OGU im. I.S. Turgeneva, 2020. S. 265—273.
2. Korsini R., Auehrbakh A. Psikhologicheskaya ehntsiklopediya. SPb: «PiteR», 2006. 1876 s.
3. Kuravskii L.S., Yur'ev G.A. Adaptivnoe testirovanie kak markovskii protsess: modeli i ikh identifikatsiya // Neirokomp'yutery: razrabotka i primenenie. — 2011. — №2. — S. 21—29.
4. Kuravskii L.S., Artemenkov S.L., Yur'ev G.A., Grigorenko E.L. Novyi podkhod k komp'yuterizirovannomu adaptivnomu testirovaniyu // Ehksperimental'naya psikhologiya. — 2017. — T. -10, №. 3. — S. 33—45. doi:10.17759/exppsy.2017100303
5. Kuravskii L.S., Margolis A.A., Marmalyuk P.A., Panfilova A.S., Yur'ev G.A. Matematicheskie aspekty kontseptsii adaptivnogo trenazhera // Psikhologicheskaya nauka i obrazovanie. 2016. Tom 21. № 2. C. 84—95.
6. Kuravskii L.S., Margolis A.A., Yur'ev G.A., Pominov D.A. Kontseptsiya samoobuchayushchegosya adaptivnogo trenazhera // Neirokomp'yutery: razrabotka i primenenie. 2018. № 3. S. 29—37.
7. Kuravskii L.S., Pominov D.A., Yur'ev G.A., Yur'eva N.E., Safronova M.A., Kulanin E.D., Antipova S.N. Kontseptsiya adaptivnogo trenazhera i otsenka ego ehffektivnosti v matematicheskom obuchenii // Modelirovanie i analiz dannykh. 2021. Tom 11. № 4. S. 5—20. DOI:10.17759/mda.2021110401
8. Kuravskii L.S., Yur'ev G.A., Yur'eva N.E., Isakov S.S. Adaptivnaya tekhnologiya psikhologicheskoi diagnostiki na osnove markovskikh i kvantovykh predstavlenii protsessa vypolneniya zadanii // Modelirovanie i analiz dannykh. 2022. Tom 12. № 4.
9. Kuravskii L.S., Yur'eva N.E., Yur'ev G.A., Ermakov S.S., Isakov S.S., Levonovich N.I., Nesimova A.O., Nikolaev I.A. Razrabotka informatsionnoi sistemy dlya psikhologicheskoi diagnostiki s ispol'zovaniem ehlementov iskusstvennogo intellekta. Gosudarstvennoe zadanie Ministerstva prosveshcheniya Rossiiskoi Federatsii № 073-00110-22-06 ot 12.12.2022 g.
10. Osipov G.V. Rossiiskaya sotsiologicheskaya ehntsiklopediya. M: Izdatel'skaya gruppa NORMA-INFRA M, 1998. 672 s.
11. Federyakin D.A. Vremya otveta v komp'yuternom adaptivnom testirovanii [Ehlektronnyi resurs] // Informatizatsiya obrazovaniya i metodika ehlektronnogo obucheniya: tsifrovye tekhnologii v obrazovanii: Materialy IV Mezhdunarodnoi nauchnoi konferentsii. V 2 ch., Krasnoyarsk, 06—09 oktyabrya 2020 goda. Tom 2. CH. 2. Sibirskii federal'nyi universitet, Krasnoyarsk. 2020. S. 249—255. URL: https://publications.hse.ru/chapters/412400421
12. Kuravsky L.S. Modeling Dynamical Behavior of Stochastic Systems: Spectral Analysis of Qubit Representations vs the Mutual Markovian Model Likelihood Estimations. Lobachevskii J. Math., 42 (10), 2364–2376 (2021).
13. Kuravsky L.S. Simplification of Solving Diagnostics Problems by Convolution of Applied Markovian Models into the Quantum Representations // Lobachevskii J. Math. 2022. № 43(7). P. 1669—1682.
14. Kyllonen P.C., et al. Implementing Soft skills training in gift // Design Recommendations for Intelligent Tutoring Systems. 2022. Vol. 9: Competency-Based Scenario Design. P. 49.
15. Ermakov S.S., Savenkov E.A., Shepeleva E.A. Analysis the Possibilities of the Computerized Adaptive Approach to the Problems of Psychological Diagnostics and Training. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2023. Vol. 16, no. 3, pp. 182–196. DOI: 10.17759/exppsy.2023160312. (In Russ., аbstr. in Engl.)