The possibilities of natural and artificial intelligence combining in educational systems
Abstract and keywords
Abstract (English):
The monograph was written by a team of authors based on the results of the interregional conference "The possibilities of combining natural and artificial intelligence in educational systems", as well as on the basis of regular meetings within the framework of the virtual laboratory for the study of artificial intelligence and robotics. The discussion was held in a format combined with a meeting of the Southern Branch of the Interregional Public Organization "Academy of Informatization of Education" (UO AIO), which has already turned 20 years old. The main objective of the conference was to analyze the possibilities of interaction between natural and artificial intelligence in educational systems of various levels, the issues of the use of modern information technologies, software, artificial intelligence, digitalization in educational organizations in the implementation of educational activities and the educational process, robotic technologies in education, etc. were considered. The proposed materials may be useful to specialists of the Department of the education system of Russia and its regions, employees of federal and regional authorities and management, as well as regional associations of academic mobility.

Keywords:
Artificial and natural intelligence, information educational space, digital educational environment, general education systems, digitalization, activation of intelligent systems, educational platforms, modeling, identification, neural networks
References

1. Agrawal H. Student Performance Prediction using Machine Learning by Havan Agrawal, Harshil Mavani / H. Agrawal, H. Mavani // International Journal of Engineering Research & Technology (IJERT). — Vol. 4. — Iss. 03. — March 2015.

2. Akperov G.I. Using soft computing methods for the functional benchmarking of an intelligent workplace in an educational establishment / G.I. Akperov, V.V. Khramov, A.A. Gorbacheva // Advances in Intelligent Systems and Computing. — 2020. — Vol. 1095. — Pp. 54–60. — DOI:https://doi.org/10.1007/978-3-030-35249-3_6.

3. Akperov I.G. Development of Instruments of Fuzzy Identification of Extended Objects Based on the Results of Satellite Monitoring / I.G. Akperov, V.V. Khramov // Advances in Intelligent Systems and Computing. — 2019. — Vol. 896. — Pp. 325–332. — DOI:https://doi.org/10.1007/978-3-030-04164-9_44.

4. Akperov I.G. Development of Instruments of Fuzzy Identification of Extended Objects Based on the Results of Satellite Monitoring / I.G. Akperov, V.V. Khramov // Advances in Intelligent Systems and Computing. — 2019. — Vol. 896. — Pp. 325–332. — DOI:https://doi.org/10.1007/978-3-030-04164-9_44.

5. Alhumaid K. COVID-19 & elearning: Perceptions & attitudes of teachers towards e-learning acceptancein the developing countries / K. Alhumaid, S. Ali, A. Waheed et al. // Multicultural Educ. — Oct. 2020. — Vol. 6. — Pp. 100–115.

6. Alshmrany S. Adaptive learning style prediction in e-learning environment using levy flight distribution based CNN model / S. Alshmrany // Cluster Comput. — Feb. 2022. — Vol. 25. — Iss. 1. — Pp. 523–536.

7. Atkins A. Metrics feedback cycle: Measuring and improving user engagement in gamified eLearning systems / A. Atkins, V. Wanick, G. Wills // J. Serious Games. — Dec. 2017. — Vol. 4. — Iss. 4. — Pp. 3–19.

8. Bernard J. Using artificial neural networks to identify learning styles / J. Bernard, T.W. Chang, E. Popescu et al. // International Conference on Artificial Intelligence in Education. — 2015 Jun 21. — Pp. 541–544.

9. Bone D. Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi-instrument fusion / D. Bone, S.L. Bishop, M.P. Black et al. // J Child Psychol Psychiatry. — 2016. — Vol. 57. — Pp. 927–937.

10. Cameron D. Context-driven automatic subgraph creation for literature-based discovery / D. Cameron et al. // Journal of biomedical informatics. — 2015. — Vol. 54. — Pp. 141–157.

11. Cameron D. Context-driven automatic subgraph creation for literature-based discovery / D. Cameron et al. // Journal of biomedical informatics. — 2015. — Vol. 54. — Pp. 141–157.

12. Caruana R. An Empirical Comparison of Supervised Learning Algorithms / R. Caruana, A.N. Mizil // Department of Computer Science, Cornell University, Ithaca, NY 14853 USA Dissertation Series. — 2006.

13. Chen P. Prerequisite-driven deep knowledge tracing / P. Chen, Y. Lu, V.W. Zheng // Proc. IEEE Int. Conf. Data Mining (ICDM), Nov. 2018. — Pp. 39–48.

14. Chi M. Instructional factors analysis: A cognitive model for multiple instructional interventions / M. Chi, K.R. Koedinger, G.J. Gordon et al. // IEDM Tech. Dig. — 2011. — Pp. 61–70.

15. Christudas B.C.L. An evolutionary approach for personalization of content delivery in e-learning systems based on learner behavior forcing compatibility of learning materials / B.C.L. Christudas, E. Kirubakaran, P.R.J. Thangaiah // Telematics Informat. — 2018. — Vol. 35. — Iss. 3. — Pp. 520–533.

16. Colchester K. A survey of artificial intelligence techniques employed for adaptive educational systems within E-learning platforms / K. Colchester, H. Hagras, D. Alghazzawi et al. // Journal of Artificial Intelligence and Soft Computing Research. — 2017. — Iss. 7(1). — Pp. 47–64.

17. Computers & Education. — URL: https://theintactone.com/2019/11/02/cf-u4-topic-5-application-of-computer-in-education.

18. De Nooy W. Exploratory Social Network Analysis with Pajek: Revised and Expanded Edition for Updated Software / W. De Nooy, A. Mrvar, V. Batagelj // Structural Analysis in the Social Sciences. Cambridge: Cambridge University Press, 2018, 3rd ed. — DOI:https://doi.org/10.1017/9781108565691.

19. Dennis A.R. Sparking creativity: Improving electronic brainstorming with individual cognitive priming / A.R. Dennis, R.K. Minas, A.P. Bhagwatwar // Journal of Management Information Systems. — 2013. — Vol. 29(4). — Pp. 195–215. — DOI:https://doi.org/10.2753/MIS0742-1222290407.

20. Duda M. Crowdsourced validation of a machine-learning classification system for autism and ADHD / M. Duda, N. Haber, J. Daniels et al. // Transl Psychiatry. — 2017. — 7:e1133.

21. Duda M. Use of machine learning for behavioral distinction of autism and ADHD / M. Duda, R. Ma, N. Haber et al. // Transl Psychiatry. — 2016. — 6:e732.

22. Duquette A. Exploring the use of a mobile robot as an imitation agent with children with low-functioning autism / A. Duquette, F. Michaud, H. Mercier // Auton Robot. — 2008. — Vol. 24(2). — Pp. 147–157

23. Erdős P. On random graphs I / P. Erdős, A. Rényi // Publ. Math. Debrecen. — 1959. — Iss. 6. — Pp. 290–297. — URL: https://studylib.net/ doc/25387956/on-random-graphs--1959--by-p.-erdosand-a.-renyi.

24. Felder R.M. Learning and teaching styles in engineering education / R.M. Felder, L.K. Silverman // Engineering education. — 1988. — Vol. 78(7). — Pp. 674–681.

25. Fergnani A. Extracting scenario archetypes: A quantitative text analysis of documents about the future / A. Fergnani, M. Jackson // Futures & Foresight Science. — 2019. — DOI:https://doi.org/10.1002/ffo2.17.

26. Fishman G. Monte Carlo: concepts, algorithms, and applications / G. Fishman // Springer Science & Business Media. — 2013.

27. Gan W. Modeling learner’s dynamic knowledge construction procedure and cognitive item difficulty for knowledge tracing / W. Gan, Y. Sun, X. Peng // Int. J. Speech Technol. — Nov. 2020. — Vol. 50. — Iss. 11. — Pp. 3894–3912.

28. Goutte C. Confident learning curves in additive factors modeling / C. Goutte, G. Durand // Proc. Int. Educ. Data Mining Soc. — 2020. — Pp. 1–7.

29. Huang M.J. Constructing a personalized e-learning system based on genetic algorithm and case-based reasoning approach / M.J. Huang, H.S. Huang, M.Y. Chen // Expert Systems with Applications. — Vol. 33(3). — Pp. 551–564.

30. International Journalof Artificial Intelligence in Education. — URL: https://www.springer.com/journal/40593?#:~:text=The%20International%20Journal%20of%20Artificial,of%20AI%20techniques%20and%20concepts.

31. Irfan M. Challenges during the pandemic: Use of e-learning in mathematics learning in higher education / M. Irfan, B. Kusumaningrum, Y. Yulia et al. // Infinity J. — 2020. — Vol. 9. — Iss. 2. — Pp. 147–158,

32. Kamps H.J. The autism solutions bot helps autistic kids / H.J. Kamps. — URL: https://techcrunch.com/2016/09/11/autism-solutions/.

33. Khramov V.V. Development of the Geoinformation Space Soft Model Considering Its Intelligent Properties / V.V. Khramov // 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence — ICSCCW-2021, Antalya, August 26–27, 2021 / Editor: Rafik A. AlievJanusz KacprzykWitold PedryczMo JamshidiMustafa BabanliFahreddin M. Sadikoglu. — Antalya: SpringerLink, 2022. — Pp. 529–536. — DOI:https://doi.org/10.1007/978-3-030-92127-9_71.

34. Kit L. Perception of university students towards the use of artificial intelligence-generated voice in explainer videos / L. Kit, C. Yuin-Y, B. Zulkifli et al. // SEARCH Journal of Media and Communication Research. — 2023. — URL: https://fslmjournals.taylors.edu.my/wp-content/uploads/SEARCH/SEARCH-2023- Special-Issue-SEARCH-Conf2022/SEARCH-2023-P6-15-SEARCHConf2022.pdf.

35. Kolmogorov A. Logical basis for information theory and probability theory / A. Kolmogorov // IEEE Transactions on Information Theory: journal. — 1968. — Vol. 14. — Iss. 5. — Pp. 662–664. — DOI:https://doi.org/10.1109/TIT.1968.1054210.

36. Kramarov S. Methodology of Formation of Unite Geo-Informational Space in the Region / S. Kramarov, V. Khramov // Communications in Computer and Information Science. — 2020. — Vol. 1201. — Pp. 309–316. — DOI:https://doi.org/10.1007/978-3-030-46895-8_24.

37. Kramarov S.O. Cognitive approach to the formation of a robotic system in education / S.O. Kramarov, V.V. Khramov, A. Işiklar // Informatics and Education. — 2022. — Vol. 37. — Iss. 6. — Pp. 69–74. — DOI:https://doi.org/10.32517/0234-0453-2022-37-6-69-74.

38. Kramarov S.O. Cognitive approach to the formation of a robotic system in education / S.O. Kramarov, V.V. Khramov, A. Işiklar // Informatics and Education. — 2022. — Vol. 37. — Iss. 6. — Pp. 69–74. — DOI:https://doi.org/10.32517/0234-0453-2022-37-6-69-74.

39. Lande D.V. Formation of the Subject Area on the Base of Wikipedia Service / D.V. Lande, V.B. Andrushchenko, I.V. Balagura // Open semantic technologies for designing intelligent systems. — Minsk, 2017. — Iss. 7. — Pp. 211–214.

40. Lavelle S. The machine with a human face: From artificial intelligence to artificial sentience / S. Lavelle // International Conference on Advanced Information Systems Engineering. — Springer, Cham, 2020, June. — Pp. 63–75.

41. Lavesson N. Evaluation and Analysis of Supervised Learning Algorithms and Classifiers / N. Lavesson // Blekinge Institute of Technology Licentiate Dissertation Series. — 2006.

42. Lee J. Which robot features can stimulate better responses from children with autism in robot-assisted therapy? / J. Lee, H. Takehashi et al // J. Adv. Robot. Syst. — 2012. — Vol. 9(72). — Pp. 1–5.

43. Li H. A Review of Artificial Intelligence Applications in Nuclear Power Plant Operations and Maintenance / H. Li, L. Li // IEEE Transactions on Systems, Man, and Cybernetics: Systems. — 2018. — Pp. 933–946.

44. Lo J.J. Identification of learning styles online by observing learners’ browsing behaviour through a neural network / J.J. Lo, P.C. Shu // British Journal of Educational Technology. — 2005. — Vol. 36(1). — Pp. 43–55.

45. Mazon-Fierro M. Usability of e-learning and usability of adaptive e-learning: A literature review / M. Mazon-Fierro, D. Mauricio // J. Hum. Factors Ergonom. — 2022. — Vol. 9. — Iss. 1. — Pp. 1–31.

46. McCarthy J. What is Artificial Intelligence? / J. McCarthy // Stanford University. — 2007. — URL: http://www-formal.stanford.edu/jmc/whatisai (data obrascheniya: 21.09.2023).

47. McCutcheon K. A systematic review evaluating the impact of online or blended learning vs. Face-toface learning of clinical skills in undergraduate nurse education / K. McCutcheon, M. Lohan, M. Traynor et al. // J. Adv. Nursing. — Feb. 2015. — Vol. 71. — Iss. 2. — Pp. 255–270.

48. Mota J. Using learning styles and neural networks as an approach to elearning content and layout adaptation / J. Mota // Doctoral Symposium on Informatics Engineering. — 2008.

49. Osborn A. Applied Imagination: Principles and Procedures of Creative Problem Solving / A. Osborn. — New York: Charles Scribner's Sons, 1953.

50. Panjaburee P. Acceptance of personalized e-learning systems: A case study of concept-effect relationship approach on science, technology, and mathematics courses / P. Panjaburee, N. Komalawardhana, T. Ingkavara // J. Comput. Educ. — Jan. 2022. — Vol. 9. — Pp. 1–25.

51. Paulus P.B. Idea generation in groups: A basis for creativity in organizations / P.B. Paulus, H.-C. Yang // Organizational Behavior and Human Decision Processes. — 2000. — Vol. 82(1). — Pp. 76–87.

52. Peng H. Personalized adaptive learning: An emerging pedagogical approach enabled by a smart learning environment / H. Peng, S. Ma, J.M. Spector // Smart Learn. Environ. — Dec. 2019. — Vol. 6. — Iss. 1. — Pp. 1–14.

53. Rodrigues H. Tracking e-learning through published papers: A systematic review / H. Rodrigues, F. Almeida, V. Figueiredo et al. // Comput. Educ. — 2019. — Vol. 136. — Pp. 87–98.

54. Rusakov A.A. A Life a model example / A.A. Rusakov, S.I. Grozdev, B.I. Sendov // Journal of the Bulgarian Academy of Sciences. — 2011. — Vol. 1. — Iss. 1. — Pp. 31–39.

55. Rusakov A.A. The First Student of academician Andrey Nikolaevich Kolmogorov / A.A. Rusakov // Springer International Publishing Switzerland 2015, Mathematics. — 2015. — Vol. 116. — Pp. 125–153.

56. Saat F.G. A Comprehensive Review on Artificial Intelligence and Machine Learning Applications in Nuclear Reactor Physics / F.G. Saat, S. Kahrobaee // Progress in Nuclear Energy. — 2021. — P. 134.

57. Shen L. Teaching and Learning with Artificial Intelligence / L. Shen, I. Chen, A. Grey et al. // Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. — 2021. — Pp. 73–98. — URL: https://www.igi-global.com/chapter/teaching-andlearning-with-artificial-intelligence/261496.

58. Shrimali P. Study of an adaptive web based e-learning system through SVM / P. Shrimali // Int. J. Eng. Sci. — 2017. — Vol. 26. — Iss. 28. — Pp. 303–315.

59. Smith J.R. Applications of Artificial Intelligence in Nuclear Energy: A Comprehensive Review / J.R. Smith, A.B. Johnson // Nuclear Engineering and Technology. — 2021. — Pp. 1131–1140.

60. Stanton C.M. Robotic animals might aid in the social development of children with autism / C.M. Stanton, P.H. Kahn, R.L. Severson et al. // Proceedings of the 3rd ACM/IEEE international conference on Human-robot interaction. — Pp. 271–278.

61. Stapel M. An ensemble method to predict Student performance in an online math learning environment / M. Stapel, Z. Zheng, N. Pinkwart // Proc. Int. Educ. Data Mining Soc. — 2016. — Pp. 1–8.

62. Subhash S. Gamified learning in higher education: A systematic review of the literature / S. Subhash, E.A. Cudney // Comput. Hum. Behav. — Oct. 2018. — Vol. 87. — Pp. 192–206.

63. Taylor D.L. Personalized and adaptive learning / D.L. Taylor, M. Yeung, A.Z. Bashet // Innovative Learning Environments in STEM Higher Education. — Cham, Switzerland: Springer, 2021. — Pp. 17–34.

64. Thatcher S.M.B. Individual creativity in teams: The importance of communication media mix / S.M.B. Thatcher, S.A. Brown // Decision Support Systems. — 2010. — Vol. 49(3). — Pp. 290–300.

65. The Impact of Artificial Intelligence on Learning, Teaching, and Education: Policies for the Future. — URL: https://www.researchgate.net/publication/329544152.

66. Thomas B. The effect of Bloom’s taxonomy on random forest classifier for cognitive level identification of e-content / B. Thomas, J. Chandra // Proc. Int. Conf. Emerg. Trends Inf. Technol. Eng. — Feb. 2020. — Pp. 1–6.

67. Thurstone L.L. Psychophysical analysis / L.L. Thurstone // American Journal of Psychology. — 1987. — Vol. 100. — Iss. 3-4. — Pp. 587–609.

68. Vie J.-J. A review of recent advances in adaptive assessment / J.-J. Vie, F. Popineau, E. Bruillard et al. // Learning Analytics: Fundaments, Applications and Trends (Studies in Systems, Decision and Control). — Cham, Switzerland: Springer, 2017. — Pp. 113–142.

69. Villaverde J.E. Learning styles' recognition in e-learning environments with feed-forward neural networks / J.E. Villaverde, D. Godoy, A. Amandi // Journal of Computer Assisted Learning. — 2006. — Vol. 22(3). — Pp. 197–206.

70. Yang J. Artificial intelligence in intelligent tutoring robots: A systematic review and design guidelines / J. Yang, B. Zhang // Applied Sciences. — 2019. — Vol. 9(10). URL: https://www.mdpi.com/465634.

71. Adamchuk A.V. Tehnologiya povysheniya psihicheskoy stressoustoychivosti na osnove BOS-treninga / A.V. Adamchuk // Izvestiya YuFU. Tehnicheskie nauki. — 2008. — № 6.

72. Ayvarova L.G. Proekt «Formirovanie osnov bezopasnosti u doshkol'nikov v processe ispol'zovaniya mul'timediynyh sredstv obucheniya» / L.G. Ayvarova. — URL: https://dohcolonoc.ru/proektnayadeyatelnost-v-detskom-sadu/11306-proekt-formirovanie-osnov-bezopasnosti-udoshkolnikov.html.

73. Akishina A.A. Nacional'nye interesy i voprosy regional'nogo razvitiya v sisteme prioritetov mezhdunarodnoy deyatel'nosti rossiyskih universitetov / A.A. Akishina, M.A. Anik'eva, I.V. Antipina i dr. — M.: RIOR, 2021. — 266 s.

74. Alekseeva M.G. II v medicine / M.G. Alekseeva, A.I. Zubov, M.Yu. Novikov // MNIZh. — 2022. — № 7-2(121).

75. Amirov R.A. Perspektivy vnedreniya tehnologiy iskusstvennogo intellekta v sfere vysshego obrazovaniya / R.A. Amirov, U.M. Bilalova // Upravlencheskoe konsul'tirovanie. — 2020. — № 3. — S. 80–88. — URL: https://cyberleninka.ru/article/n/pers pektivy-vnedreniya-tehnologiy-iskusstvennogo-intellekta-v-sfere-vysshego-obrazovaniya (data obrascheniya: 04.09.2023).

76. Antonova D.A. Cifrovaya transformaciya sistemy obrazovaniya. Proektirovanie resursov dlya sovremennoy cifrovoy uchebnoy sredy kak odno iz ee osnovnyh napravleniy / D.A. Antonova, E.V. Ospennikova, E.V. Spirin // Vestnik Permskogo gosudarstvennogo gumanitarno-pedagogicheskogo universiteta. Seriya: Informacionnye komp'yuternye tehnologii v obrazovanii. — 2018. — № 14. — S. 5–37. — URL: https://cyberleninka.ru/article/n/tsifrovaya-transformatsiya-sistemyobrazovaniya-proektirovanie-resursov-dlya-sovremennoy-tsifrovoy-uchebnoysredy-kak-odno-iz-ee.

77. Arhipov V.V. Iskusstvennyy intellekt i avtonomnye ustroystva v kontekste prava: o razrabotke pervogo v Rossii zakona o robototehnike / V.V. Arhipov, V.B. Naumov // Trudy SPIIRAN. — 2017. — № 6. — S. 46–62.

78. Astahov D.A. Ispol'zovanie sovremennyh algoritmov mashinnogo obucheniya dlya zadachi raspoznavaniya emociy / D.A. Astahov, A.V. Kataev // Cloud of science. — 2018. — № 4.

79. Babushkina N.E. Sravnitel'nyy analiz ispol'zovaniya neyronnoy seti v zadache identifikacionnyh svoystv materialov / N.E. Babushkina, A.A. Lyapin // IVD. — 2021. — № 11(83). — URL: https://cyberleninka.ru/article/n/sravnitelnyy-analiz-ispolzovaniya-neyronnoy-seti-v-zadache-identifikatsionnyh-svoystv-materialov (data obrascheniya: 01.09.2023).

80. Badmaeva M.H. Social'no-filosofskie problemy i principy primeneniya sistem iskusstvennogo intellekta: diss. ... kand. filos. nauk / M.H. Badmaeva. — Ulan-Ude, 2023. — 224 s.

81. Baymuldina N.S. Mul'timediynye tehnologii kak effektivnyy sposob obucheniya v vuze / N.S. Baymuldina // Materialy VIII Mezhdunarodnoy nauchno-prakticheskoy konferencii. — Ekaterinburg: FGAOU VPO «Ros. gos. prof.-ped.un-t», 2015. — 623 s.

82. Balynskaya N.R. Analiz ispol'zovaniya informacionno-kommunikacionnyh tehnologiy v organah municipal'nogo upravleniya / N.R. Balynskaya, S.V. Koptyakova, E.G. Zinov'eva. — Magnitogorskiy gosudarstvennyy tehnicheskiy universitet im. G.I. Nosova, 2019.

83. Bardashova G.A. Opyt vnedreniya informacionno-kommunikacionnyh tehnologiy v obrazovatel'nuyu sredu DOU / G.A. Bardashova, M.V. Kormil'ceva // Municipal'noe obrazovanie: innovacii i eksperiment. — 2012. — № 3. — S. 45–48.

84. Belozerov V.V. Sinergetika bezopasnoy zhiznedeyatel'nosti / V.V. Belozerov. — Rostov-na-Donu: YuFU, 2015. — 420 s.

85. Borisov V.V. «Myagkie» modeli i tehnologii v zadachah iskusstvennogo intellekta / V.V. Borisov // Sbornik trudov VI Mezhdunarodnoy konferencii «Upravlenie biznesom v cifrovoy ekonomike», IPC SPbGUPTD, 2023. — URL: https://events.spbu.ru/eventsContent/events/2023.pdf.

86. Boronenko T.A. Issledovanie cifrovoy kompetentnosti pedagogov v usloviyah cifrovizacii obrazovatel'noy sredy shkoly / T.A. Boronenko, V.S. Fedotova. — 2021. — DOI:https://doi.org/10.18287/2542-0445-2021-27-1-51-61.

87. Boronenko T.A. Razvitie cifrovoy gramotnosti shkol'nikov v usloviyah sozdaniya cifrovoy obrazovatel'noy sredy / T.A. Boronenko, A.V. Kaysina, V.S. Fedotova // Perspektivy nauki i obrazovaniya. — 2019. — № 2(38). — S. 167–193. — URL: https://cyberleninka.ru/article/n/razvitie-tsifrovoy-gramotnosti-shkolnikovv-usloviyah-sozdaniya-tsifrovoy-obrazovatelnoy-sredy.

88. Bukaev I. Ispol'zovanie neyrosetey dlya sozdaniya personalizirovannyh uchebnyh programm / I. Bukaev. — URL: https://vc.ru/education/672256-ispolzovanie-neyrosetey-dlya-sozdaniya-personalizirovannyh-uchebnyh-programm (data obrascheniya: 01.09.2023).

89. V. V. Putin «Vystuplenie na konkurse «Uchitel' goda — 2021» // RIA Novosti. — URL: https://ria.ru/20211005/shkoly-1753187279.html?ysclid=l71tjpr4d854302577 (data obrascheniya: 17.11.2022).

90. Vasil'eva I.V. Inklyuzivnoe obrazovanie: opyt i praktika / I.V. Vasil'eva. — SPb.: Piter, 2019.

91. Voevodin A.A. Pedagogicheskie podhody k postroeniyu bazy znaniy dlya avtomatizirovannyh obuchayuschih sistem s elementami iskusstvennogo intellekta: diss. ... kand. ped. nauk / A.A. Voevodin. — SPb., 1998. — 205 s

92. Voytishek A.V. Diskretno-stohasticheskie modifikacii standartnogo metoda Monte-Karlo / A.V. Voytishek. — Novosibirsk: NGU, 2009.

93. Gvozdev D.S. Prikladnye metody identifikacii v avtomatizirovannyh sistemah na transporte / D.S. Gvozdev, V.V. Hramov, S.M. Kovalev i dr.; RGUPS. — Rostov-na-Donu: Rostovskiy gosudarstvennyy universitet putey soobscheniya, 2015. — 186 s.

94. Golubenko E.V. Informacionnaya ocenka strukturirovannosti cheloveko-mashinnoy sistemy / E.V. Golubenko, I.G. Akperov, V.V. Hramov // Transport: nauka, obrazovanie, proizvodstvo: sbornik nauchnyh trudov mezhdunarodnoy nauchno-prakticheskoy konferencii, Rostov-na-Donu, 26–28 aprelya 2023 goda. Tom 1. — Rostov-na-Donu: Rostovskiy gosudarstvennyy universitet putey soobscheniya, 2023. — S. 38–41.

95. Gol'cova A.A. Upravlenie realizaciey federal'nogo gosudarstvennogo obrazovatel'nogo standarta obschego obrazovaniya v usloviyah malokomplektnoy shkoly / A.A. Gol'cova // Sbornik materialov po realizacii regional'noy innovacionnoy ploschadki «Aprobaciya kompleksnoy modeli upravleniya realizaciey federal'nogo gosudarstvennogo obrazovatel'nogo standarta obschego obrazovaniya v usloviyah malokomplektnoy shkoly v municipal'nom obrazovanii» (Iz opyta raboty obrazovatel'nyh organizaciy Kostromskoy oblasti). — Kostroma: OGBOU DPO «KOIRO», 2019. — 420 s.

96. Gorovenko L.A. Postroenie informacionno-obrazovatel'noy sredy s elementami iskusstvennogo intellekta: avtoref. disc. ... kand. tehn. nauk / L.A. Gorovenko. — Krasnodar: Kuban. gos. tehnol. un-t, 2002. — 23 s.

97. Gribov V.D. Organizacionnaya struktura upravleniya: uchebnik i praktikum dlya akademicheskogo bakalavriata / V.D. Gribov, G.V. Kislyakov. — M.: 2016. — 365 s.

98. Grushin V.I. Inklyuzivnoe obrazovanie v Rossii: adaptaciya i razvitie / V.I. Grushin. — M.: Prosveschenie, 2018.

99. Gurevich I.M. Informaciya — vseobschee svoystvo materii: harakteristiki, ocenki, ogranicheniya, sledstviya / I.M. Gurevich, A.D. Ursul. — M.: URSS, 2012.

100. Gusev A.N. Psihologicheskie izmereniya. Teoriya. Metody: uchebnoe posobie / A.N. Gusev, I.S. Utochkin. — M.: Aspekt Press, 2011. — 319 s.

101. Geybl E. Cifrovaya transformaciya shkol'nogo obrazovaniya. Mezhdunarodnyy opyt, trendy, global'nye rekomendacii / E. Geybl; per. s angl.; pod nauch. red. P.A. Sergomanova; Nacional'nyy issledovatel'skiy universitet «Vysshaya shkola ekonomiki», Institut obrazovaniya. — M.: NIU VShE, 2019. — 108 s. — 200 ekz. — URL: https://ioe.hse.ru/data/2019/07/18/1482267351/SAO%2023%20elektronnyy.pdf.

102. Dmitrieva N.V. Pedagogicheskaya diagnostika v inklyuzivnom obrazovanii / N.V. Dmitrieva. — M.: Shkol'naya pressa, 2016.

103. Erezhepova I.M. Formirovanie osnov bezopasnosti zhiznedeyatel'nosti u detey doshkol'nogo vozrasta / I.M. Erezhepova // Sbornik materialov ezhegodnoy mezhdunarodnoy nauchno-prakticheskoy konferencii «Vospitanie i obuchenie detey mladshego vozrasta». — 2015. — S. 140.

104. Eremin A.L. K analizu modeley ob'edineniya i poyavleniya novoy informacii v intellektual'nyh sistemah / A.L. Eremin // Sovremennye problemy fiziki, biofiziki i infokommunikacionnyh tehnologiy (kollektivnaya monografiya). — Krasnodar: CNTI, 2016. — S. 17–27.

105. Erofeeva V.A. Obzor teorii intellektual'nogo analiza dannyh na baze neyronnyh setey / V.A. Erofeeva // Stohasticheskaya optimizaciya v informatike. — 2015. — T. 11. — № 3. — S. 3–17. — URL: https://math.spbu.ru/user/gran/soi11_3/p3-17.pdf (data obrascheniya: 01.09.2023).

106. Esenin R.A. Psihologicheskie vyzovy cifrovoy real'nosti: II segodnya i v perspektive / R.A. Esenin // Professional'noe obrazovanie i rynok truda. — 2023. — № 2(53).

107. Zhuykov V.V. Sistema ocenki kachestva znaniy studentov na osnove neyronnyh setey: avtoref. diss. ... kand. ped. nauk / V.V. Zhuykov. — Kursk, 2009. — 23 s.

108. Zair-Bek S.I. Portret rossiyskoy sel'skoy shkoly / S.I. Zair-Bek, T.A. Mercalova, K.M. Anchikov // Monitoring ekonomiki obrazovaniya. Nacional'nyy issledovatel'skiy universitet «Vysshaya shkola ekonomiki». — 2020. — № 35. — C. 1–16.

109. Zvereva Yu.S. Informatizaciya obrazovaniya / Yu.S. Zvereva // Molodoy uchenyy. — 2016. — № 6.3. — S. 23–26. — URL: https://moluch.ru/archive/110/27234.

110. Ivanovskaya Zh.V. Perspektivy razvitiya Rossiyskoy atomnoy energetiki na mirovom energeticheskom rynke / Zh.V. Ivanovskaya // Intellektual'nye resursy — regional'nomu razvitiyu. — 2021. — T. 1. — № 8. — S. 164–174.

111. Izhbulatova E.A. Innovacionnye tehnologii obrazovatel'noy deyatel'nosti v didzhital'nuyu epohu / E.A. Izhbulatova, L.H. Salimova // Pedagogicheskiy zhurnal Bashkortostana. — 2019. — № 3(82).

112. Interaktivnye didakticheskie igry i uprazhneniya po formirovaniyu finansovoy gramotnosti starshego doshkol'nogo vozrasta. — URL: https://ulybkasalym.ru/wp-content/uploads/2022/03/Interaktivnye-didakticheskie-igry-i-uprazhneniya-po-formirovaniyu-finansovoy-gramotnosti-starshego-doshkol'nogo-vozrasta.pdf (data obrascheniya: 25.08.2023).

113. Isaeva G.G. Podgotovka buduschego pedagoga professional'nogo obucheniya k ispol'zovaniyu elementov iskusstvennogo intellekta: na primere otrasli «informatika, vychislitel'naya tehnika i komp'yuternye tehnologii»: diss. ... kand. ped. nauk / G.G. Isaeva. — Mahachkala, 2013. — 194 s.

114. Kazachenok V.V. Primenenie neyronnyh setey v obuchenii / V.V. Kazachenok // Informatika i obrazovanie. — 2020. — № 2. — S. 41–47. — DOI:https://doi.org/10.32517/0234-0453-2020-35-2-41-47 (data obrascheniya: 01.09.2023).

115. Karaseva E. Analiz rezul'tatov ispol'zovaniya IKT uchitelyami v obrazovatel'nom processe MOU SOSh sela Komarovka / E. Karaseva. — URL: https://pandia.ru/text/78/573/11085.php (data obrascheniya: 04.10.2023).

116. Kislicyna V.V. Algoritm generirovaniya idey metodom «mozgovogo shturma» / V.V. Kislicyna // Nauka i obrazovanie: novoe vremya. — 2017. — № 5(22). — S. 266–269. — URL: https://www.elibrary.ru/item.asp?id=46298764 (data obrascheniya: 15.09.2021).

117. Knorring V.G. Razvitie reprezentativnoy teorii izmereniy / V.G. Knorring // Izmereniya, kontrol', avtomatizaciya: sb. nauch.-tehn. obzorov. — 1980. — № 11-12. — S. 3–10.

118. Kogay V.N. Algoritmicheskaya model' komp'yuternoy sistemy vydeleniya klyuchevyh slov iz teksta na baze ontologiy / V.N. Kogay, V.S. Pak // Problemy sovremennoy nauki i obrazovaniya. — 2016. — T. 16(58). — S. 33–40.

119. Kozlov F.A. Metody agregirovaniya i analiza dannyh v sistemah elektronnogo obucheniya s ispol'zovaniem semanticheskih tehnologiy: avtoref. diss. ... kand. tehn. nauk / F.A. Kozlov. — SPb., 2015. — 18 s.

120. Kolbin A.B. Sovremennye koncepcii obucheniya / A.B. Kolbin // Molodoy uchenyy. — 2010. — № 4(15). — S. 339–342. — URL: https://moluch.ru/archive/15/1338.

121. Kolomeychenko A.S. Innovacionnye obrazovatel'nye tehnologii vysshey shkoly / A.S. Kolomeychenko // Aktual'nye voprosy v nauchnoy rabote i obrazovatel'noy deyatel'nosti: mater. Mezhdunar. nauch.-prakt. konf. (31 yanvarya 2013 g., g. Tambov). — Tambov, 2013. — S. 86–87.

122. Kolyada M.G. Metod II dlya vyyavleniya psihologicheskih/narusheniy uchebnosti v fizicheskoy vospitatel'noy i sportivnoy deyatel'nosti / M.G. Kolyada, S.I. Belyh, T.I. Bugaeva i dr. // Teoriya i praktika fizicheskoy kul'tury. — 2021. — № 11.

123. Komarova I.I. Informacionno-kommunikacionnye tehnologii v doshkol'nom obrazovanii / I.I. Komarova, A.V. Tulikov. — M.: Mozaika-Sintez, 2013. — 128 s.

124. Kopylova N. 19 servisov i prilozheniy, kotorye sdelayut vas umnee, prokachayut pamyat' i logiku / N. Kopylova. — URL: https://lifehacker.ru/razvivaj-mozg.

125. Korzh E.M. potencial primeneniya tehnologiy II v psihologii / E.M. Korzh, A.V. Gromova // Sistemnaya psihologiya i sociologiya. — 2023. — № 2(46).

126. Korobkin A.A. Razrabotka modeley i metodov prinyatiya resheniy s primeneniem iskusstvennogo intellekta dlya organizacii uchebnogo processa: avtoref. diss. ... kand. fiz.-mat. nauk / A.A. Korobkin. — Voronezh: Voronezh. gos. un-t, 2009. — 18 s.

127. Korolev D.V. Rol' iskusstvennogo intellekta v obespechenii bezopasnosti atomnoy energetiki / D.V. Korolev, V.S. Miroshnichenko // Atomnaya energiya. — 2018. — S. 116–122.

128. Kotlyarova I.O. Tehnologii iskusstvennogo intellekta v obrazovanii / I.O. Kotlyarova // Vestnik YuUrGU. Seriya: Obrazovanie. Pedagogicheskie nauki. — 2022. — № 3.

129. Kramarov S.O. Dinamika formirovaniya svyazey v setyah, strukturirovannyh na osnove prognosticheskih terminov / S.O. Kramarov, O.R. Popov, I.E. Dzhariev i dr. // Russian Technological Journal. — 2023. — T. 11. — № 3. — S. 17–29. — DOI:https://doi.org/10.32362/2500-316X-2023-11-3-17-29.

130. Kramarov S.O. Dinamika formirovaniya svyazey v setyah, strukturirovannyh na osnove prognosticheskih terminov / S.O. Kramarov, O.R. Popov, I.E. Dzhariev i dr. // Russ. Technol. J. — 2023. — T. 11(3). — S. 17−29. — DOI:https://doi.org/10.32362/2500-316X-2023-11-3-17-29.

131. Kramarov S.O. Metody i modeli identifikacii protyazhennyh informacionnyh ob'ektov s ispol'zovaniem kletochnyh avtomatov / S.O. Kramarov, V.V. Hramov, O.Yu. Mityasova i dr. // Sovremennye informacionnye tehnologii i IT-obrazovanie. — 2021. — T. 17. — № 3. — S. 564–573. — DOI:https://doi.org/10.25559/SITITO.17.202103.564-573.

132. Kramarov S.O. Obrabotka kosmicheskih dannyh prostranstvennyh ob'ektov poverhnosti Zemli / S.O. Kramarov, V.V. Hramov, O.Yu. Mityasova i dr. // Materialy 20-y Mezhdunarodnoy konferencii «Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa», Moskva, 14–18 noyabrya 2022 goda. — M.: Institut kosmicheskih issledovaniy Rossiyskoy akademii nauk, 2022. — S. 44.

133. Kramarov S.O. Osnovy ergotehnicheskogo podhoda k formirovaniyu elektronnoy obrazovatel'noy sredy / S.O. Kramarov, V.V. Hramov, E.V. Grebenyuk i dr. — M.: RIOR, 2021. — 160 s. — DOI:https://doi.org/10.29039/02086-9.

134. Kramarov S.O. Osnovy ergotehnicheskogo podhoda k formirovaniyu elektronnoy obrazovatel'noy sredy / S.O. Kramarov, V.V. Hramov, E.V. Grebenyuk i dr. — M.: RIOR, 2021. — 160 s. —DOI:https://doi.org/10.29039/02086-9.

135. Krylova E.V. Prakticheskoe rukovodstvo po obrazovaniyu detey s osobymi potrebnostyami / E.V. Krylova. — M.: Prosveschenie, 2020.

136. Kuvaldina T.A. Sistematizaciya ponyatiy kursa informatiki na osnove metodov iskusstvennogo intellekta: diss. ... d-ra ped. nauk / T.A. Kuvaldina. — M., 2003. — 280 s.

137. Kuznecov A.L. Analiticheskoe utochnenie metoda statisticheskih ispytaniy dlya issledovaniya morskih portov / A.L. Kuznecov, A.V. Kirichenko, A.D. Semenov // Vestnik gosudarstvennogo universiteta morskogo i rechnogo flota im. admirala S.O. Makarova. — 2022. — T. 14. — № 6. — S. 905–914. — DOI:https://doi.org/10.21821/2309-5180-2022-14-6-905-914.

138. Larichev O.I. Verbal'nyy analiz resheniy / O.I. Larichev. — M.: Nauka, 2006. — 181 s.

139. Levitin A.V. Algoritmy. Vvedenie v razrabotku i analiz / A.V. Levitin. — M.: Vil'yams, 2006. — 576 s.

140. Lindenbaum T. M. Vizualizaciya informacionnyh modeley upravleniya kompetenciyami pri podgotovke bakalavrov IT-napravlennosti / T.M. Lindenbaum, T.I. Akperov, T.S. Aleksandrova i dr. // Trudy Rostovskogo gosudarstvennogo universiteta putey soobscheniya. — 2022. — № 3(60). — S. 48–53.

141. Lindenbaum T.M. Kognitivnaya model' upravleniya organizaciey kak cheloveko-mashinnoy sistemoy / T.M. Lindenbaum, T.I. Akperov, V.V. Hramov // Sbornik nauchnyh trudov «Transport: nauka, obrazovanie, proizvodstvo»: trudy Mezhdunarodnoy nauchno-prakticheskoy konferencii, Rostov-na-Donu, 26–28 aprelya 2023 goda. Tom 2. — Rostov-na-Donu: Rostovskiy gosudarstvennyy universitet putey soobscheniya, 2023. — S. 222–225.

142. Lovcov D.A. Informacionnaya teoriya ergasistem: osnovnye polozheniya / D.A. Lovcov. — M.: Pravovaya informatika. — 2019. — № 3. — S. 4–20.

143. Mazur M. Kachestvennaya teoriya informacii / M. Mazur. — M.: Mir, 1974. — 238 s.

144. Minaeva T.S. Psihologicheskaya pomosch' detyam s ogranichennymi vozmozhnostyami / T.S. Minaeva. — M.: Genezis, 2017.

145. Mihaylov G.A. Chislennoe statisticheskoe modelirovanie. Metody Monte-Karlo / G.A. Mihaylov, A.V. Voytishek. — M.: Izd. centr Akademiya, 2006.

146. Monitoring i rasprostranenie luchshih praktik deyatel'nosti malokomplektnyh shkol i shkol, nahodyaschihsya v trudnodostupnoy mestnosti. — URL: https://little-school.ru/public/files/monitoring.pdf (data obrascheniya: 15.12.2022).

147. Muhamadieva K.B. Mashinnoe obuchenie v sovershenstvovanii obrazovatel'noy sredy / K.B. Muhamadieva // Obrazovanie i problemy razvitiya obschestva. — 2020. — № 4(13). — URL: https://cyberleninka.ru/article/n/mashinnoe-obuchenie-v-sovershenstvovanii-obrazovatelnoy-sredy (data obrascheniya: 17.10.2023).

148. Narin'yani A.S. NE-faktory i inzheneriya znaniy: ot naivnoy formalizacii k estestvennoy pragmatike / A.S. Narin'yani // Trudy IV Nacional'noy konferencii «Iskusstvennyy intellekt — 94». — Rybinsk, 1994. — S. 3–28

149. Nikitin P.V. Sovershenstvovanie sistemy onlayn-obucheniya sredstvami II / P.V. Nikitin, R.I. Gorohova, V.G. Abashin // PNiO. — 2022. — № 4(58).

150. Nikiforova O.A. Pedagogika inklyuzivnogo obrazovaniya / O.A. Nikiforova. — M.: Akademiya, 2015.

151. Nikol'skiy S.M. Izbrannye glavy i zadachi matematicheskogo analiza, (uchebnoe posobie) / S.M. Nikol'skiy, A.A. Rusakov. — M.: ICPI MGU im. M.V. Lomonosova, 2008. — 101 s.

152. Novoselova S.L. Problemy informatizacii doshkol'nogo obrazovaniya / S.L. Novoselova // Informatika i obrazovanie. — 2010. — № 2. — S. 91–92.

153. O gigienicheskih trebovaniyah k maksimal'noy nagruzke na detey doshkol'nogo vozrasta v organizovannyh formah obucheniya: pis'mo Ministerstva obrazovaniya Rossiyskoy Federacii ot 14 marta 2000 g. № 65/23-16. — URL: https://docs.cntd.ru/document/901764917 (data obrascheniya: 21.08.2023).

154. Osnovnye upravlencheskie modeli proekta «Shkola Minprosvescheniya Rossii». Programma razvitiya shkoly v usloviyah vnedreniya proekta. — URL: // https://disk.yandex.ru/i/s2OWIHC_LOWTOQ.

155. Pavlov A.S. Primenenie metodov iskusstvennogo intellekta v atomnoy energetike / A.S. Pavlov, Yu.S. Luk'yanov // Vestnik Priazovskogo gosudarstvennogo tehnicheskogo universiteta. — 2019. — Seriya: Tehnicheskie nauki. — S. 111–120.

156. Pavlyuk E.S. Analiz zarubezhnogo opyta vliyaniya iskusstvennogo intellekta na obrazovatel'nyy process v vysshem uchebnom zavedenii / E.S. Pavlyuk // Sovremennoe pedagogicheskoe obrazovanie. — 2020. — № 1. — S. 65–72.

157. Paskova A.A. Tehnologii iskusstvennogo intellekta v personalizacii elektronnogo obucheniya / A.A. Paskova // Vestnik Maykopskogo gosudarstvennogo tehnologicheskogo universiteta. — 2019. — № 3.

158. Paskova A.A. Tehnologii iskusstvennogo intellekta v personalizacii elektronnogo obucheniya / A.A. Paskova // Vestnik Maykopskogo gosudarstvennogo tehnologicheskogo universiteta. — 2019. — № 3/42. — S. 113–122.

159. Pahomov A.P. Problema osmyslennosti psihologicheskih izmereniy / A.P. Pahomov // Psihologicheskiy zhurnal. — 2006. — T. 27. — № 5. — S. 75–82.

160. Petrov E.A. Podhod k prognozirovaniyu universal'nyh dinamicheskih processov na primere modelirovaniya elektromagnitnogo vozdeystviya na gazogidratnye plasty / E.A. Petrov, I.E. Dzhariev, O.R. Popov i dr. // Gornyy informacionno-analiticheskiy byulleten'. — 2023. — № 6. — S. 56–66. — DOI:https://doi.org/10.25018/0236_1493_2023_6_0_5.

161. Platonova T.E. Informatizaciya doshkol'nogo obrazovaniya / T.E. Platonova // Materialy VIII Mezhdunarodnoy nauchno-prakticheskoy konferencii. — Ekaterinburg: FGAOU VPO «Ros. gos. prof.-ped.un-t», 2015. — 623 s.

162. Porubay O. Mashinnoe obuchenie kak instrument sovremennyh pedagogicheskih tehnologiy / O. Porubay, M. Hasanova // GAI. — 2022. — № B3.

163. Postanovlenie Pravitel'stva RF ot 26 dekabrya 2017 g. № 1642 «Ob utverzhdenii gosudarstvennoy programmy Rossiyskoy Federacii “Razvitie obrazovaniya”» (s izmeneniyami i dopolneniyami). — URL: https://base.garant.ru/71848426 (data obrascheniya: 04.10.2023).

164. Prikaz Ministerstva obrazovaniya i nauki RF ot 22 fevralya 2018 g. № 125 «Ob utverzhdenii federal'nogo gosudarstvennogo obrazovatel'nogo standarta vysshego obrazovaniya — bakalavriat po napravleniyu podgotovki 44.03.05 Pedagogicheskoe obrazovanie (s dvumya profilyami podgotovki)» (s izmeneniyami i dopolneniyami ot: 26 noyabrya 2020 g., 8 fevralya 2021 g., 19 iyulya 2022 g., 27 fevralya 2023 g.). — URL: https://base.garant.ru/71897864/ (data obrascheniya: 15.09.2023).

165. Prikaz Ministerstva cifrovogo razvitiya, svyazi i massovyh kommunikaciy RF i Ministerstva prosvescheniya RF ot 30 aprelya 2021 g. № 417/221 «Ob utverzhdenii trebovaniy k podklyucheniyu i dostupu, vklyuchaya trebovaniya k peredache dannyh, gosudarstvennyh i municipal'nyh obrazovatel'nyh organizaciy, realizuyuschih programmy obschego i srednego professional'nogo obrazovaniya, izbiratel'nyh komissiy sub'ektov Rossiyskoy Federacii i territorial'nyh izbiratel'nyh komissiy k edinoy seti peredachi dannyh».

166. Prikaz Minprosvescheniya Rossii i Mincifry Rossii ot 30 aprelya 2021 g. № 417/221 «Ob utverzhdenii trebovaniy k podklyucheniyu i dostupu, vklyuchaya trebovaniya k peredache dannyh, gosudarstvennyh i municipal'nyh obrazovatel'nyh organizaciy, realizuyuschih programmy obschego i srednego professional'nogo obrazovaniya, izbiratel'nyh komissiy sub'ektov Rossiyskoy Federacii i territorial'nyh izbiratel'nyh komissiy k edinoy seti peredachi dannyh».

167. Prikaz Mintruda Rossii ot 30 yanvarya 2023 g. № 53n «Ob utverzhdenii professional'nogo standarta “Specialist v oblasti vospitaniya”» (zaregistrirovano v Minyuste Rossii 3 marta 2023 g. № 72520). — URL: https://www.eduprofrb.ru/uploads/documents/docs/prikaz-mintruda-rossii-ot-30012023-n-53n.pdf (data obrascheniya: 04.10.2023).

168. Prus M.Yu. Chislennyy metod opredeleniya veroyatnostnyh harakteristik individual'nyh mnogokomponentnyh riskov / M.Yu. Prus, M.S. Zhubanov, Yu.V. Prus // Tehnologii tehnosfernoy bezopasnosti. — 2022. — № 4(98). — C. 144–157.

169. Pshenichnyy A.S. Raspoznavanie emociy dlya adaptacii processa obucheniya v komp'yuternoy igre / A.S. Pshenichnyy, A.V. Kataev, O.A. Shabalina // ITNOU: informacionnye tehnologii v nauke, obrazovanii i upravlenii. — 2019. — № 2(12).

170. Rasporyazhenie Pravitel'stva RF ot 24 iyunya 2022 g. № 1688-r «Ob utverzhdenii Koncepcii podgotovki pedagogicheskih kadrov dlya sistemy obrazovaniya na period do 2030 goda». — URL: https://www.garant.ru/products/ipo/prime/doc/404830447/ (data obrascheniya: 15.09.2023).

171. Rodionov O.V. Tehnologii iskusstvennogo intellekta v obrazovanii / O.V. Rodionov, N.V. Tamp // Vozdushno-kosmicheskie sily. Teoriya i praktika. — 2022. — № 22.

172. Romanchak V.M. Ob ekvivalentnosti zakonov Fehnera i Stivensa / V.M. Romanchak // Zhurnal Belorusskogo gosudarstvennogo universiteta. Filosofiya. Psihologiya. — 2019. — № 3. — S. 97–102.

173. Rospatent. — URL: https://rospatent.gov.ru/ru.

174. Rossiyskaya pedagogicheskaya enciklopediya. — URL: https://pedagogicheskaya.academic.ru/1539 (data obrascheniya: 14.12.2022).

175. Rusakov A.A. Idei A.N. Kolmogorova v professional'nom stanovlenii sovremennogo uchitelya matematiki i informatiki / A.A. Rusakov // Informatizaciya obrazovaniya: trudy nauchno-prakticheskoy konferencii MGGU im. M.A. Sholohova, 2008. — S. 43–50.

176. Rusakov A.A. Knigi i pedagogicheskie idei S.M. Nikol'skogo dlya uglublennogo izucheniya matematiki v shkole / A.A. Rusakov // Materialy Vserossiyskoy nauchnometodicheskoy konferencii Adygeyskogo universiteta «Aktual'nye problemy uglublennogo matematicheskogo obrazovaniya», AGU, g. Maykop. — 2010. — C. 180–184.

177. Rusakov A.A. Korifei matematiki — nashi sootechestvenniki: uchebno-metodicheskoe posobie / A.A. Rusakov, G.F. Mezhuev, B.S. Pozdeev. — Yuzhno-Sahalinsk: Izd-vo filiala TGEU, 2010. — S. 1–5.

178. Rusakov A.A. Metodicheskie osobennosti prepodavaniya matematiki v letnih shkolah: uchebno-metodicheskoe posobie dlya podgotovki uchiteley matematiki i informatiki po materialam raboty letney shkoly SUNC MGU / A.A. Rusakov, Yu.P. Nikolaev, E.V. Schepin. — M., 2007. — 56 s.

179. Rusakov A.A. Nauchno metodicheskie aspekty prepodavaniya matematiki v shkole im. A.N. Kolmogorova (v istoricheskom rakurse) / A.A. Rusakov // Mezhdunarodnaya konferenciya «Teoriya veroyatnostey i ee prilozheniya», posvyaschennaya stoletiyu so dnya rozhdeniya Borisa Vladimirovicha Gnedenko (Moskva, 26–30 iyunya 2012): tezisy dokladov. — M.: Lenard, 2012. — 400 s. — S. 332–334.

180. Rusakov A.A. Predel'naya teorema dlya chisla vyhodov za vysokiy uroven' ogibayuschey gaussovskogo stacionarnogo sluchaynogo processa / A.A. Rusakov // Uspehi mat nauk. — 2003. — № 12. — C. 162–165.

181. Rusakov A.A. Proektirovanie metodicheskoy sistemy obucheniya matematicheski, tvorcheski odarennyh detey na osnove realizacii idey A.N. Kolmogorova (monografiya): diss. ... d-ra ped. nauk / A.A. Rusakov. — M., 2006. — 375 s.

182. Rusakov A.A. Realizaciya idey A.N. Kolmogorova v obuchenii i prepodavanii matematiki i informatiki / A.A. Rusakov // Sovremennye informacionnye tehnologii i IT-obrazovanie: II Mezhd. nauch.-prakt. konf. Moskva, MGU im. M.V. Lomonosova, 18–21 dekabrya 2006 g.: sb. dokladov: uchebno-metodicheskoe posobie / Pod red. V.A. Suhomlina; otv. red. E.N. Nikulina. — M.: MAKS Press, 2006. — S. 234–243.

183. Rusakov A.A. Soderzhanie elektivnogo kursa algebry v shkole im. A.N. Kolmogorova / A.A. Rusakov, Yu.P. Nikolaev // Materialy Vserossiyskoy nauchnometodicheskoy konferencii Adygeyskogo universiteta «Aktual'nye problemy uglublennogo matematicheskogo obrazovaniya», AGU, g. Maykop. — 2010. — C. 159–166.

184. Rusakov A.A. Schet. Chislo. Kontinuum: monografiya / A.A. Rusakov, V.N. Chubarikov. — M.: Chelovek slova, 2018. — 136 s.

185. Rusakov A.A. Tvorcheskaya laboratoriya. Metodicheskaya sistema obucheniya matematicheski, tvorcheski odarennyh detey v kolmogorovskoy shkole-internat: monografiya / A.A. Rusakov. — M., 2006. — 71 s.

186. Rusakov A.A. Teoriya i praktika nepreryvnogo matematicheskogo obrazovaniya na osnove realizacii idey A.N. Kolmogorova / A.A. Rusakov // Matematika. Obrazovanie: materialy XV mezhdunarodnoy konferencii. — Cheboksary: Izd-vo Chuvash. un-ta, 2007. — S. 33–36.

187. Rusakov A.A. Tochechnye processy i vyhody za uroven' realizaciy gaussovskih processov: avtoref. diss. ... kand. fiz.-mat. nauk / A.A. Rusakov. — M., 2001. — 14 s.

188. Rusakov A.A. Fiziko-matematicheskiy internat imeni A.N. Kolmogorova: stanovlenie i razvitie, nauchno-metodicheskie problemy / A.A. Rusakov // Vestnik Eleckogo gosudarstvennogo universiteta im. A.I. Bunina. Vyp. 17: Seriya «Pedagogika» (Istoriya i teoriya matematicheskogo obrazovaniya). — Elec: EGU im. I.A. Bunina, 2008. — S. 133–148.

189. Saati T.L. Ob izmerenii neosyazaemogo. Podhod k otnositel'nym izmereniyam na osnove glavnogo sobstvennogo vektora matricy parnyh sravneniy / T.L. Saati // Cloud of Science. — 2015. — T. 2. — № 1. — S. 5–39.

190. Saymon G. Teoriya prinyatiya resheniy v ekonomicheskoy teorii i nauke o povedenii / G. Saymon; pod red. V.M. Gal'perina // Vehi ekonomicheskoy mysli. Teoriya potrebitel'skogo povedeniya i sprosa. T. 1. — SPb.: Ekonomicheskaya shkola, 1999. — 283 s.

191. Salahova A.A. Metodika obucheniya osnovam iskusstvennogo intellekta i analiza dannyh v kurse informatiki na urovne srednego obschego obrazovaniya: avtoref. diss. ... kand. ped. nauk / A.A. Salahova. — 2022. — 24 s.

192. Samylkina N.N. Metodicheskaya sistema uglublennogo obucheniya informatike na osnove integrativnogo podhoda: diss. ... d-ra ped. nauk / N.N. Samylkina. — M., 2020. — 391 s.

193. Svetlichnyy E.G. Sovershenstvovanie obrazovatel'nogo processa v shkole s ispol'zovaniem cifrovyh platform na osnove iskusstvennogo intellekta / E.G. Svetlichnyy, M.M. Hamgokov, V.V. Shabaev // Problemy sovremennogo pedagogicheskogo obrazovaniya. — 2022. — № 74-2.

194. Svidetel'stvo o gosudarstvennoy registracii programmy dlya EVM № 2023610049 Rossiyskaya Federaciya. Sposob vydeleniya znachimyh konceptov dlya ocenki internet-resursov organizacii: № 2022683540: zayavl. 02.12.2022: opubl. 09.01.2023 / I.M. Magerramov, I.G. Akperov, G.I. Akperov i dr.; zayavitel' chastnoe obrazovatel'noe uchrezhdenie vysshego obrazovaniya «Yuzhnyy universitet».

195. Svidetel'stvo o gosudarstvennoy registracii programmy dlya EVM № 2023665463 Rossiyskaya Federaciya. Programma dlya kompleksnoy ocenki informacionnyh mer sistemy: № 2023663897: zayavl. 04.07.2023: opubl. 17.07.2023 / G.I. Akperov, T.I. Akperov, T.S. Aleksandrova, i dr.; zayavitel' chastnoe obrazovatel'noe uchrezhdenie vysshego obrazovaniya «Yuzhnyy universitet».

196. Sekovanov V.S. Akademik AN SSSR A.N. Kolmogorov: Zhizn' v nauke i nauka v zhizni geniya iz Tunoshny / V.S. Sekovanov. — M.: Knizhnyy dom «LIBROKOM», 2014. — 704 s.

197. Seryakova O.I. Sovremennye podhody k probleme autizma, ego differencial'noy diagnostike i korrekcii / O.I. Seryakova // Severo-Kavkazskiy psihologicheskiy vestnik. — 2011. — № 4.

198. Sirazetdinov R.T. Novye tehnologii obrazovaniya na osnove malorazmernogo antropomorfnogo robota ROMA / R.T. Sirazetdinov, A.Yu. Fadeev, R.E. Hisamutdinov // Informatika i obrazovanie. — 2019. — № 1(300). — S. 33–39. — DOI:https://doi.org/10.32517/0234-0453-2019-34-1-33-39.

199. Smirnova E.N. Metodicheskie rekomendacii po formirovaniyu cifrovoy obrazovatel'noy sredy v obrazovatel'noy organizacii / E.N. Smirnova. — SPb.: GBU DPO «SPbCOKOiIT», 2022. — 71 s.

200. Smozhet li prilozhenie Norbu Stress Control zamenit' psihologov? — URL: https://vc.ru/tribuna/125656-smozhet-li-prilozhenie-norbu-stress-control-zamenit-psihologov.

201. Soboleva E.V. Metodicheskie rekomendacii po postroeniyu modeli «Shkola polnogo dnya» / E.V. Soboleva, M.K. Kosareva // GAU DPO PK IRO. Vladivostok. — 2022. — URL: // https://pkiro.ru/wp-content/uploads/2022/07/shpd-model.pdf?ysclid=lc7n86ww34836297718 (data obrascheniya: 26.12.2022).

202. Sorokina Yu.A. Binarizaciya algoritma «mozgovoy shturm» v zadachah otbora priznakov dlya nechetkih klassifikatorov / Yu.A. Sorokina // Sbornik izbrannyh statey nauchnoy sessii TUSUR. — 2018. — № 1-3. — S. 146–149. — URL: https://www.elibrary.ru/item.asp?id=36415534 (data obrascheniya: 15.09.2021).

203. Starostenko I.N. Tehnologii iskusstvennogo intellekta v obrazovanii (na primere personalizirovannogo obucheniya) / I.N. Starostenko, A.A. Hromyh // Gumanitarnye, social'no-ekonomicheskie i obschestvennye nauki. — 2023. — № 7.

204. Suslova I.A. Metodika obucheniya studentov komp'yuternyh specializaciy s ispol'zovaniem intellektual'nyh informacionnyh sistem: diss. ... kand. ped. nauk / I.A. Suslova. — Ekaterinburg, 2008. — 173 s.

205. Timofeeva O.P. Raspoznavanie emociy po izobrazheniyu lica na osnove glubokih neyronnyh setey / O.P. Timofeeva, S.A. Neimuschev, L.I. Neimuscheva i dr. // Trudy NGTU im. R.E. Alekseeva. — 2020. — № 1(128).

206. Tyushnyakov V.N. Analiz cifrovoy transformacii obscheobrazovatel'nyh organizaciy / V.N. Tyushnyakov, I.A. Tyushnyakova // Sovremennye naukoemkie tehnologii. — 2022. — № 12-1. — S. 159–164.

207. Tyushnyakova I.A. Aktual'nye aspekty cifrovoy transformacii obrazovaniya / I.A. Tyushnyakova // Informacionnye i innovacionnye tehnologii v nauke i obrazovanii: sbornik nauchnyh trudov VI Vserossiyskoy nauchno-prakticheskoy konferencii s mezhdunarodnym uchastiem. — Rostov-na-Donu, 2022. — S. 283–284.

208. Tyushnyakova I.A. Obuchenie videomontazhu shkol'nikov / I.A. Tyushnyakova, K.S. Evstratova // Vestnik Taganrogskogo instituta imeni A.P. Chehova. — 2022. — № 2. — S. 94–102.

209. Tyushnyakova I.A. Elektivnye kursy po informatike kak sredstvo profil'nogo samoopredeleniya uchaschihsya / I.A. Tyushnyakova, M.G. Makarchenko // Vestnik Taganrogskogo instituta imeni A.P. Chehova. — 2021. — № 2. — S. 40–47.

210. Ukaz Prezidenta RF ot 10 oktyabrya 2019 g. № 490 «O razvitii iskusstvennogo intellekta v Rossiyskoy Federacii» (vmeste s «Nacional'noy strategiey razvitiya iskusstvennogo intellekta na period do 2030 goda»). — URL: https://base.garant.ru/72838946/ (data obrascheniya: 14.05.2022).

211. Ursul A.D. Novaya global'naya revolyuciya v nauke i obrazovanii / A.D. Ursul, T.A. Ursul // Globalistika-2020: Global'nye problemy i buduschee chelovechestva: sbornik statey Mezhdunarodnogo nauchnogo kongressa, Moskva, 18 maya — 24 maya 2020 goda. — M.: Mezhregional'naya obschestvennaya organizaciya sodeystviya izucheniyu, propagande nauchnogo naslediya N.D. Kondrat'eva, 2020. — S. 68–75. — DOI:https://doi.org/10.46865/978-5-901640-33-3-2020-68-75.

212. Uhinov S.A. Obosnovanie shodimosti dlya algoritmov metoda Monte-Karlo vosstanovleniya indikatrisy rasseyaniya s uchetom polyarizacii / S.A. Uhinov, A.S. Chimaeva // Sib. zhurn. vychisl. matematiki / RAN. Sib. otd-nie. Novosibirsk, 2011. — T. 14. — № 1. — S. 101–114.

213. Federal'naya obrazovatel'naya programma doshkol'nogo obrazovaniya. — M.: TC «Sfera», 2023. — 224 s.

214. Federal'nyy gosudarstvennyy obrazovatel'nyy standart doshkol'nogo obrazovaniya. — M.: TC «Sfera», 2020. — 96 s.

215. Federal'nyy zakon «O vnesenii izmeneniy i dopolneniy v Zakon Rossiyskoy Federacii «Ob obrazovanii» ot 13 yanvarya 1996 g. № 12-FZ. St. 41. Ch. 2. — URL: http://www.kremlin.ru/acts/bank/8753.

216. Federal'nyy zakon «Ob obrazovanii v Rossiyskoy Federacii» ot 29 dekabrya 2012 g. № 273-FZ (s izmeneniyami na 5 dekabrya 2022 goda). St. 99, p. 4. — URL: https://www.consultant.ru/document/cons_doc_LAW_140174/

217. Federal'nyy zakon «Ob obrazovanii v Rossiyskoy Federacii» ot 29.12.2012 g. № 273-FZ (s izmeneniyami na 5 dekabrya 2022 goda), st. [1]. 22. p. 12. — URL: https://www.consultant.ru/document/cons_doc_LAW_140174/ (data obrascheniya: 30.05.2023).

218. Federal'nyy zakon ot 27 iyulya 2006 goda № 149-FZ «Ob informacii, informacionnyh tehnologiyah i o zaschite informacii». — URL: https://ru.wikipedia.org/wiki/Federal'nyy_zakon_Rossiyskoy_Federacii (data obrascheniya: 04.10.2023).

219. Federal'nyy zakon ot 29 dekabrya 2012 g. № 273-FZ «Ob obrazovanii v Rossiyskoy Federacii». — URL: http://www.consultant.ru.

220. Federal'nyy institut promyshlennoy sobstvennosti. — URL: https://fips.ru/.

221. Fersht V.M. Sovremennye podhody k ispol'zovaniyu II v medicine / V.M. Fersht, A.P. Latkin, V.N. Ivanova // Territoriya novyh vozmozhnostey. — 2020. — № 1.

222. Filatova O.N. Primenenie neyrosetey v professional'nom obrazovanii / O.N. Filatova, M.N. Bulaeva, A.V. Guschin // Problemy sovremennogo pedagogicheskogo obrazovaniya. — 2022. — № 77-3. — URL: https://cyberleninka.ru/article/n/primenenie-neyrosetey-v-professionalnom-obrazovanii (data obrascheniya: 01.09.2023).

223. Filipova I.A. Pravovoe regulirovanie iskusstvennogo intellekta: uchebnoe posobie / I.A. Filipova. — Nizhniy Novgorod: Nizhegorodskiy gosuniversitet, 2-e izd., obnovlennoe i dopolnennoe, 2022. — S. 9.

224. Finansovaya kul'tura. — URL: https://fincult.info/entertainment/game/ (data obrascheniya: 28.08.2023).

225. Fomin N.I. Obosnovanie razrabotki servisa dlya obespecheniya izobretatel'skoy deyatel'nosti studentov universiteta / N.I. Fomin, D.A. Letavin, L.I. Mironova // Perspektivy nauki. — 2023. — № 5(164). — S. 184–190.

226. Fomin N.I. Razrabotka i zaschita tehnicheskih resheniy v stroitel'stve: uchebnik / N.I. Fomin, Yu.D. Lysova. — Ekaterinburg: Izd-vo Ural. un-ta, 2020. — 156 s.

227. Fomin N.I. Tehnologicheskoe proektirovanie servisa dlya obespecheniya izobretatel'skoy deyatel'nosti studentov universiteta / N.I. Fomin, D.A. Letavin, L.I. Mironova // Perspektivy nauki. — 2023. — № 7(166). — S. 104–111.

228. Habibullin I.R. Aktual'nost' ispol'zovaniya neyrosetey v obrazovatel'nyh celyah / I.R. Habibullin, O.V. Azovceva, A.D. Gareev // Molodoy uchenyy. — 2023. — № 13(460). — S. 176–178. — URL: https://moluch.ru/archive/460/101127/ (data obrascheniya: 01.09.2023).

229. Hvostova I.P. Postroenie i ispol'zovanie obrazovatel'noy avtomatizirovannoy informacionnoy sistemy s elementami iskusstvennogo intellekta v uchebnom processe vuza: diss. ... kand. ped. nauk / I.P. Hvostova. — Stavropol', 2003. — 301 s.

230. Holms U. Iskusstvennyy intellekt v obrazovanii. Perspektivy i problemy dlya prepodavaniya i obucheniya / U. Holms, M. Byalik, Ch. Feydel. — M.: Al'pina PRO, 2022. — 304 s.

231. Hramov V.V. Agregirovanie informacii kak problema lichnostnoy samoorganizacii / V.V. Hramov // Rossiyskiy psihologicheskiy zhurnal. — 2007. — T. 4. — № 4. — S. 9–21.

232. Hramov V.V. Analiz suschestvuyuschih sistem tehnicheskogo zreniya dlya kommercheskogo osmotra podvizhnyh edinic zheleznodorozhnogo transporta / V.V. Hramov, D.S. Gvozdev, S.M. Kovalev // Uchenye zapiski Instituta upravleniya, biznesa i prava. Seriya: Informacionnye tehnologii i upravlenie. — 2012. — № 1. — S. 18–27.

233. Hramov V.V. Generaciya modeley ob'ektov intellektual'nogo prostranstva. Teoriya i ispol'zovanie dlya upravleniya slozhnymi sistemami / V.V. Hramov // Upravlenie v social'nyh, ekonomicheskih i tehnicheskih sistemah: trudy MNK, Kislovodsk, 20 iyunya 2000 goda. Kniga III. — Kislovodsk: Kislovodskiy universitet Akademii oboronnyh otrasley promyshlennosti RF, 2000. — S. 67–68.

234. Hramov V.V. Integral'naya model' korrekcii navigacionnyh parametrov podvizhnyh ob'ektov transporta / V.V. Hramov, E.V. Golubenko, O.Yu. Mityasova // Vestnik Rostovskogo gosudarstvennogo universiteta putey soobscheniya. — 2015. — № 4(60). — S. 60–64.

235. Hramov V.V. Koncepciya obespecheniya effektivnosti organizacionno-tehnicheskih sistem na osnove bioniko-intellektual'nogo podhoda / V.V. Hramov // Vestnik Rostovskogo gosudarstvennogo universiteta putey soobscheniya. — 2001. — № 2. — S. 138–141.

236. Hramov V.V. Metodologiya opisaniya processov samoorganizacii smysla v obrazovanii / V.V. Hramov // Prepodavatel' vysshey shkoly v XXI veke: trudy Mezhdunarodnoy nauchno-prakticheskoy internet-konferencii, Rostov-na-Donu, 1 yanvarya — 31 yanvarya 2008 goda. — Tom 6, chast' 1. — Rostov-na-Donu: RGUPS, 2008. — S. 43–48.

237. Hramov V.V. Mnogomernyy konturnyy analiz v obrabotke kosmicheskih snimkov protyazhennyh ob'ektov zemnoy poverhnosti / V.V. Hramov // Transport: nauka, obrazovanie, proizvodstvo: trudy mezhdunarodnoy nauchno-prakticheskoy konferencii, Rostov-na-Donu, 12–15 aprelya 2016 goda / Rostovskiy gosudarstvennyy universitet putey soobscheniya; predsedatel' organizacionnogo komiteta konferencii A.N. Guda. Tom 1. — Rostov-na-Donu: Rostovskiy gosudarstvennyy universitet putey soobscheniya, 2016. — S. 244–248.

238. Hramov V.V. O sposobah konturnogo kodirovaniya modeley informacionnyh ob'ektov / V.V. Hramov // Uchenye zapiski Instituta upravleniya, biznesa i prava. Seriya: Informacionnye tehnologii i upravlenie. — 2012. — № 1. — S. 76–81.

239. Hramov V.V. Osnovy informacionnogo podhoda k upravleniyu podgotovkoy specialistov v sfere voennogo obrazovaniya / V.V. Hramov. — Puschino: Otdel nauchnoy i tehnicheskoy informacii PNC RAN (ONTI PNC RAN), 2001. — 212 s.

240. Hramov V.V. Osobennosti motivacii ucheniya v processe perepodgotovki operatorov boevyh raschetov / V.V. Hramov, A.L. Oganesyan // Sbornik tezisov dokladov na IV NTK raketnyh voysk, Krasnodar, 18–20 sentyabrya 1996 goda / Krasnodarskoe VVKIU raketnyh voysk. — Krasnodar: Bez izdatel'stva, 1996. — S. 200.

241. Chimrov A.V. Primenenie neyronnyh setey v obuchenii IYa / A.V. Chimrov, V.V. Sidorov; nauch. ruk. N.A. Kachalov // Yazyk. Obschestvo. Obrazovanie: sbornik nauchnyh trudov Mezhdunarodnoy nauchno-prakticheskoy konferencii «Lingvisticheskie i kul'turologicheskie aspekty sovremennogo inzhenernogo obrazovaniya», Tomsk, 10–12 noyabrya 2020 g. — Tomsk: TPU, 2020. — S. 288–292.

242. Chulyukov V.A. Iskusstvennyy intellekt i buduschee obrazovaniya / V.A. Chulyukov, V.M. Dubov // Sovremennoe pedagogicheskoe obrazovanie. — 2020. — № 3.

243. Shamsutdinova T.M. Problemy i perspektivy primeneniya neyronnyh setey v sfere obrazovaniya / T.M. Shamsutdinova // Otkrytoe obrazovanie. — 2022. — T. 26(6). — S. 4–10. — DOI:https://doi.org/10.21686/1818-4243-2022-6-4-10.

244. Shikin E.V. Matematicheskie metody i modeli v upravlenii / E.V. Shikin. — M.: KDU, 2009. — 439 s.

245. Shirokih A.A. Metodicheskaya sistema podgotovki uchitelya informatiki po osnovam iskusstvennogo intellekta: avtoreferat diss. ... kand. ped. nauk / A.A. Shirokih. — Omsk, 2007. — 23 s.

246. Shiryaev A.N. Kolmogorov v vospominaniyah: sb. st. / Red. sost. A.N. Shiryaev. — M.: MCNMO, 2023. — 576 s.

247. Enciklopedicheskiy slovar' / Pod red. Yu.Yu. Gluschenya. — M.: Ripol-Klassik. — 2012. — 1568 s.

Login or Create
* Forgot password?