L.S. Kuravsky − Dr.Sc. (Eng.), Professor, Dean of Computer Science Faculty, Moscow State University of Psychology and Education

E-mail: l.s.kuravsky@gmail.com

A.A. Margolis − Ph.D. (Psych.), Provost, Moscow State University of Psychology and Education 

E-mail: margolisaa@mgppu.ru 

G.A. Yuryev − Ph.D. (Phys.-Math.), Associate Professor, Deputy Dean, Computer Science Faculty,  Moscow State University of Psychology and Education

E-mail: g.a.yuryev@gmail.com 

D.A. Pominov − Research Scientist, Computer Science Faculty,  Moscow State University of Psychology and Education

E-mail: pominovda@mgppu.ru

Presented is a concept of the self-learning adaptive trainer intended for adaptive learning and providing task selection with the aid of parametric probabilistic models. The approach in question is an alternative to the adaptive technologies based on the Item Response Theory. Possibility to take into account both temporal dynamics of solution ability and time spent for carrying out the operations as well as smaller number of tasks that must be completed by a subject to provide estimates with the given accuracy are among the features of diagnostic methods in use. 

1. Kuravskij L.S., Artemenkov S.L., Jur'ev G.A., Grigorenko E.L. Novyj podhod k komp'juterizirovannomu adaptivnomu testirovaniju // Jeksperimental'naja psihologija. 2017. T. 10. №. 3. S. 33−45. doi:10.17759/exppsy.2017100303 
2. 2. Patent na poleznuyu model' № 118095 (RF). Ustrojstvo dlya modelirovaniya adaptivnogo testirovaniya kognitivnykh sposobnostej ispytuemogo / L.S. Kuravskij, S.D. Kulik, P.А. Marmalyuk, G.А. YUr'ev. Zayavka №2012105993/08, 21.02.2012; Zaregistr. 10.07.2012; Opublikovano 10.07.2012 Byul. №19; Prioritet ot 21.02.2012(ROSPАTENT).
3. Kuravskij L.S., Margolis A. A., Marmaljuk P. A., Jur'ev G. A., Dumin P. N. Obuchaemye markovskie modeli v zadachah optimizacii porjadka pred#javlenija psihologicheskih testov // Nejrokomp'jutery: razrabotka i primenenie. 2013. № 4. S. 28–38.
4. Kuravskij L.S., Margolis A.A., Marmaljuk P.A., Panfilova A.S., Jur'ev G.A. Matematicheskie aspekty koncepcii adaptivnogo trenazhera // Psihologicheskaja nauka i obrazovanie. 2016. T. 21. № 2. C. 84–95. doi: 10.17759/pse.2016210210.
5. Kuravskij L.S., Margolis A.A., Marmaljuk P.A., Jur'ev G.A., Dumin P.N. Obuchaemye markovskie modeli v zadachah optimizacii porjadka pred#javlenija psihologicheskih testov // Nejrokomp'jutery: razrabotka i primenenie. 2013. № 4. S. 28–38.
6. Kuravskij L.S., Margolis A.A., Marmaljuk P.A., Jur'ev G.A., Dumin P.N., Kulik S.D. Patent na poleznuju model' №122796, Rossijskaja Federacija (RU) kl. MPK G09B 31/07. «Sistema podderzhki prinjatija reshenij dlja psihologicheskogo i pedagogicheskogo testirovanija». Zajavka №2012132684/08, 31.07.2012; Opublikovano 10.12.2012, Bjul. №34; Prioritet ot 31.07.2012 (ROSPATENT). 
7. Kuravskij L.S., Margolis A.A., Jur'ev G.A., Marmaljuk P.A. Koncepcija sistemy podderzhki prinjatija reshenij dlja psihologicheskogo testirovanija // Psihologicheskaja nauka i obrazovanie. 2012. № 1. S. 5665.
8. Kuravskij L.S., Jur'ev G.A. Adaptivnoe testirovanie kak markovskij process: modeli i ih identifikacija // Nejrokomp'jutery: razrabotka i primenenie. 2011. № 2. S. 21–29. 
9. Kuravskij L.S., Jur'ev G.A. Verojatnostnyj metod fil'tracii artefaktov pri adaptivnom testirovanii // Jeksperimental'naja psihologija. 2012. T. 5.  № 1. S. 119−131.
10. Kuravskij L.S., Jur'ev G.A. Ispol'zovanie markovskih modelej pri obrabotke rezul'tatov testirovanija // Voprosy psihologii. 2011. № 2. S. 98−107.
11. Kuravskij L.S., Jur'ev G.A. Ob odnom podhode k adaptivnomu testirovaniju i ustraneniju ego artefaktov // Nejrokomp'jutery: razrabotka i primenenie. 2012. № 1.
12. Markovskie modeli v zadachah diagnostiki i prognozirovanija: Ucheb. posobie / Pod red. L.S. Kuravskogo. Izd. 2-e, dop. M.: Izd-vo MGPPU. 2017. 203 s. 
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17. Kats Y. Learning Management Systems and Instructional Design: Best Practices in Online Education. IGI Global. 2013. ISBN 9781466639317 
18. Kuravsky L.S., Marmalyuk P.A., Yuryev G.A., Dumin P.N. A Numerical Technique for the Identification of Discrete-State Continuous-Time Markov Models // Applied Mathematical Sciences. 2015. V. 9. № 8. Р. 379–391. URL: http://dx.doi.org/10.12988/ams. 2015.410882. 
19. Kuravsky L.S., Marmalyuk P.A., Baranov S.N., Alkhimov V.I., Yuryev G.A., Artyukhina S.V. A New Technique for Testing Professional Skills and Competencies and Examples of its Practical Applications // Applied Mathematical Sciences. 2015. V. 9. № 21. Р. 1003–1026. http://dx.doi.org/10.12988/ams.2015.411899.
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