Voir la notice de l'article provenant de la source Math-Net.Ru
@article{INTO_2020_186_a14, author = {V. I. Serbin}, title = {Improving the efficiency of the learning process using the {Markov} model}, journal = {Itogi nauki i tehniki. Sovremenna\^a matematika i e\"e prilo\v{z}eni\^a. Temati\v{c}eskie obzory}, pages = {116--122}, publisher = {mathdoc}, volume = {186}, year = {2020}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/INTO_2020_186_a14/} }
TY - JOUR AU - V. I. Serbin TI - Improving the efficiency of the learning process using the Markov model JO - Itogi nauki i tehniki. Sovremennaâ matematika i eë priloženiâ. Tematičeskie obzory PY - 2020 SP - 116 EP - 122 VL - 186 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/INTO_2020_186_a14/ LA - ru ID - INTO_2020_186_a14 ER -
%0 Journal Article %A V. I. Serbin %T Improving the efficiency of the learning process using the Markov model %J Itogi nauki i tehniki. Sovremennaâ matematika i eë priloženiâ. Tematičeskie obzory %D 2020 %P 116-122 %V 186 %I mathdoc %U http://geodesic.mathdoc.fr/item/INTO_2020_186_a14/ %G ru %F INTO_2020_186_a14
V. I. Serbin. Improving the efficiency of the learning process using the Markov model. Itogi nauki i tehniki. Sovremennaâ matematika i eë priloženiâ. Tematičeskie obzory, Proceedings of the All-Russian Scientific Conference «Differential Equations and Their Applications» dedicated to the 85th anniversary of Professor M. T. Terekhin. Ryazan State University named for S. A. Yesenin, Ryazan, May 17-18, 2019. Part 2, Tome 186 (2020), pp. 116-122. http://geodesic.mathdoc.fr/item/INTO_2020_186_a14/
[2] Danilova S. D., Adaptivnaya nechetkaya model otsenivaniya rezultatov avtomatizirovannogo testirovaniya s razdeleniem zadanii po urovnyam usvoeniya, Diss. na soisk. uch. step. kand. tekhn. nauk., VSGTU, Ulan-Ude, 2005
[3] Lazarsfeld P. F., “Latentno-strukturnyi analiz i teoriya testov”, Matematicheskie metody v sotsialnykh naukakh, Progress, M., 1973, 42–53
[4] Malkin I. G., Teoriya ustoichivosti dvizheniya, Nauka, M., 1966 | MR
[5] Neiman Yu. M, Khlebnikov V. A., Vvedenie v teoriyu modelirovaniya i parametrizatsiyu pedagogicheskikh testov, Prometei, M., 2000
[6] Novikov D. A., Teoriya upravleniya organizatsionnymi sistemami, MPSI, M., 2005
[7] Serbin V. I., “Metod rascheta parametrov v avtomatizirovannoi obuchayuschei sisteme”, Prikasp. zh. Upravl. vysokie tekhn., 2 (18) (2012), 66–70
[8] Serbin V. I., “Markovskaya model upravleniya protsessom obucheniya”, XII Vseross. sovesch. po probl. upravleniya VSPU-2014 (16–19 iyunya 2014 g., Moskva), In-t problem upravleniya im. V. A. Trapeznikova RAN, M., 2014, 9489–9497
[9] Solovov A. V., Elektronnoe obuchenie: Problematika, didaktika, tekhnologiya, Novaya tekhnika, Samara, 2006
[10] Kharchenko M. A., Korrelyatsionnyi analiz, Izd-vo VGU, Voronezh, 2008
[11] Rasch G., Probabilistic Models for Some Intelligence and Attainment Tests, Copenhagen, 1960
[12] Serbin V., “Markov model of evaluation of learning results”, Proc. 2018 Multidiscipl. Sympos. on Computer Science and ICT (Stavropol, Russia, October 15–19, 2018), v. 2254, CEUR Workshop Proceedings, 2018, 114–122