infojournalИнформатика и образованиеInformatics and education0234-04532658-7769Publishing House Education and Informatics10.32517/0234-0453-2024-39-5-78-91infojournal-1147Research ArticleИНФОРМАТИЗАЦИЯ ОБРАЗОВАНИЯINFORMATIZATION OF EDUCATIONПрименение нейросетевых систем поддержки принятия решений при формировании навыков педагогического общенияUsing neural network decision support systems in the formation of pedagogical communication skillshttps://orcid.org/0000-0001-9314-1758ВоителеваТ. М.VoitelevaT. M.

Воителева Татьяна Михайловна, доктор пед. наук, профессор, профессор кафедры методики преподавания русского языка и литературы, факультет русской филологии

Tatyana M. Voiteleva, Doctor of Sciences (Pedagogy), Professor, Professor at the Department of Russian Language and Literature Teaching Methods, Faculty of Russian Philology

voitelev@yandex.ruhttps://orcid.org/0000-0002-1234-6653ЛогиноваН. В.LoginovaN. V.

Логинова Наталья Владимировна, аспирант кафедры славистики, общего языкознания и культуры коммуникации, факультет русской филологии

Natalya V. Loginova, a postgraduate student at the Department of Slavic Studies, General Linguistics, and Communication Culture, Faculty of Russian Philology

loginova.98@mail.ruГосударственный университет просвещенияРоссияFederal State University of EducationRussian Federation2024261220243957891Copyright © Воителева Т.М., Логинова Н.В., 20242024Воителева Т.М., Логинова Н.В.Voiteleva T.M., Loginova N.V.This work is licensed under a Creative Commons Attribution 4.0 License.https://info.infojournal.ru/jour/article/view/1147

В статье представлены результаты исследования потенциала применения нейросетевых систем поддержки принятия решений (СППР) для развития навыков педагогического общения у педагогов-исследователей. На основе анализа научной литературы выявлены ключевые принципы и методологические подходы к разработке и внедрению нейросетевых СППР в контексте современных образовательных парадигм. Предложена концептуальная модель функционирования нейросетевых СППР, учитывающая специфику коммуникативных компетенций педагогов и мультимодальный характер данных. Эмпирическое исследование с участием 120 педагогов различных предметных областей продемонстрировало эффективность использования нейросетевых СППР для анализа и совершенствования навыков педагогического общения. Разработанная система метрик оценки, включающая в себя количественные показатели (уровень вовлеченности учащихся, время реакции) и качественные показатели (экспертные оценки), позволила валидизировать результаты применения нейросетевых СППР в реальных образовательных условиях. В статье обсуждаются этические и социокультурные аспекты ответственного внедрения нейросетевых технологий в практику развития коммуникативных компетенций педагогов-исследователей. Намечены перспективы интеграции нейросетевых СППР с адаптивными обучающими системами и технологиями виртуальной реальности для создания комплексных решений в области совершенствования навыков педагогического общения.

The article presents the results of a study of the potential of using neural network decision support systems (DSS) to develop pedagogical communication skills among research teachers. Based on the analysis of scientific literature, the key principles and methodological approaches to the development and implementation of neural network DSS in the context of modern educational paradigms are identified. A conceptual model of neural network DSS functioning is proposed, taking into account the specifics of teachers’ communicative competencies and the multimodal nature of the data. An empirical study involving 120 teachers from various subject areas demonstrated the effectiveness of using neural network DSS for analyzing and improving pedagogical communication skills. The developed system of assessment metrics, including quantitative (student engagement level, reaction time) and qualitative (expert assessment) indicators, allowed us to validate the results of using neural network DSS in real educational conditions. The article discusses ethical and socio-cultural aspects of responsible implementation of neural network technologies in the practice of developing the communicative competencies of research teachers. The prospects of integrating neural network DSS with adaptive learning systems and virtual reality technologies to create complex solutions in the field of improving pedagogical communication skills are outlined.

нейросетевые системы поддержки принятия решенийпедагогическое общениекоммуникативные компетенциимультимодальные данныеадаптивное обучениеэтика искусственного интеллектаneural network decision support systemspedagogical communicationcommunicative competenciesmultimodal dataadaptive learningethics of artificial intelligenceИсследование выполнено за счет средств НИОКТР № 124052100046-3 «Фундаментальное обоснование возможностей интеграционных процессов науки, образования и просвещения (на примере новых субъектов Российской Федерации — ДНР, ЛНР, Запорожской и Херсонской областей) как элементов совершенствования методики подготовки учителей-исследователей».The research was carried out with the support of R&D funds No 124052100046-3 “Fundamental justification of the possibilities for integration processes of science, education, and enlightenment (using the example of subjects of the Russian Federation — LPR, DPR, Zaporozhye, and Kherson regions) as elements of improving the methodology for training teacher-researchers”.ReferencesКузьмин Н. Н., Глазунова И. Н., Чистякова Н. А., Байтимерова Л. С. Искусственный интеллект и его роль в построении индивидуальной траектории развития обучающихся в вузах. Управление образованием: теория и практика. 2024;(3-1):113–121. EDN: QPGZLF. DOI: 10.25726/f3942-2092-6900-m.Kuzmin N. N., Glazunova I. N., Chistyakova N. A., Bay timerova L. S. Artificial intelligence and its role in building an individual development trajectory for university students. Education Management Review. 2024;(3-1):113–121. (In Russian.) EDN: QPGZLF. DOI: 10.25726/f3942-2092-6900-m.Albrecht J. R., Karabenick S. A. Relevance for learning and motivation in education. The Journal of Experimental Education. 2018;86(1):1–10. DOI: 10.1080/00220973.2017.1380593.Albrecht J. R., Karabenick S. A. Relevance for learning and motivation in education. The Journal of Experimental Education. 2018;86(1):1–10. DOI: 10.1080/00220973.2017.1380593.Bower M. Technology-mediated learning theory. British Journal of Educational Technology. 2019;50(3):1035– 1048. DOI: 10.1111/bjet.12771.Bower M. Technology-mediated learning theory. Bri tish Journal of Educational Technology. 2019;50(3):1035– 1048. DOI: 10.1111/bjet.12771.Chen L., Chen P., Lin Z. Artificial intelligence in education: A review. IEEE Access. 2020;8:75264–75278. DOI: 10.1109/ACCESS.2020.2988510Chen L., Chen P., Lin Z. Artificial intelligence in edu cation: A review. IEEE Access. 2020;8:75264–75278. DOI: 10.1109/ACCESS.2020.2988510Chetty K., Qigui L., Gcora N., Josie J., Wenwei L., Fang C. Bridging the digital divide: Measuring digital literacy. Economics: The Open-Access, Open-Assessment E-Journal. 2018;12(2018–23):1–20. DOI: 10.5018/economics-ejournal.ja.2018-23.Chetty K., Qigui L., Gcora N., Josie J., Wenwei L., Fang C. Bridging the digital divide: Measuring digital litera cy. Economics: The Open-Access, Open-Assessment E-Journal. 2018;12(2018–23):1–20. DOI: 10.5018/economics-ejournal.ja.2018-23.Makarova E. N., Pirozhkova I. S. Digital transformation of higher education: EFL teaching and learning experiences. Proc. 2nd Int. Scientific and Practical Conf. on Digital Economy (ISCDE 2020). Dordrecht, Netherlands, Atlantis Press; 2020:34–39. DOI: 10.2991/aebmr.k.201205.006.Makarova E. N., Pirozhkova I. S. Digital transformation of higher education: EFL teaching and learning experiences. Proc. 2nd Int. Scientific and Practical Conf. on Digital Economy (ISCDE 2020). Dordrecht, Netherlands, Atlantis Press; 2020:34–39. DOI: 10.2991/aebmr.k.201205.006.Gruzdev M. V., Kuznetsova I. V., Tarkhanova I. Y., Kazakova E. I. University graduates’ soft skills: The employers’ opinion. European Journal of Contemporary Education. 2018;7(4):690–698. DOI: 10.13187/ejced.2018.4.690.Gruzdev M. V., Kuznetsova I. V., Tarkhanova I. Y., Kazakova E. I. University graduates’ soft skills: The employers’ opinion. European Journal of Contemporary Education. 2018;7(4):690–698. DOI: 10.13187/ejced.2018.4.690.Jang H. Teachers’ intrinsic vs. extrinsic instructional goals predict their classroom motivating styles. Learning and Instruction. 2019;60:286–300. DOI: 10.1016/j.learnin-struc.2017.11.001.Jang H. Teachers’ intrinsic vs. extrinsic instructional goals predict their classroom motivating styles. Learning and Instruction. 2019;60:286–300. DOI: 10.1016/j.learnin-struc.2017.11.001.Karakozov S. D., Ryzhova N. I. Information and education systems in the context of digitalization of education. Journal of Siberian Federal University. Humanities & Social Sciences. 2019;12(9):1635–1647. EDN: BUDCDL. DOI: 10.17516/1997-1370-0485.Karakozov S. D., Ryzhova N. I. Information and education systems in the context of digitalization of education. Journal of Siberian Federal University. Humanities & Social Sciences. 2019;12(9):1635–1647. EDN: BUDCDL. DOI: 10.17516/1997-1370-0485.König J., Jäger-Biela D. J., Glutsch N. Adapting to on-line teaching during COVID-19 school closure: Teacher education and teacher competence effects among early career teachers in Germany. European Journal of Teacher Education. 2020;43(4):608–622. DOI: 10.1080/02619768.2020.1809650.König J., Jäger-Biela D. J., Glutsch N. Adapting to on-line teaching during COVID-19 school closure: Teacher education and teacher competence effects among early career teachers in Germany. European Journal of Teacher Education. 2020;43(4):608–622. DOI: 10.1080/02619768.2020.1809650.Kuzminov Y., Sorokin P., Froumin I. Generic and specific skills as components of human capital: New challenges for education theory and practice. Foresight and STI Governance. 2019;13(2):19–41. EDN: QZXFED. DOI: 10.17323/2500-2597.2019.2.19.41.Kuzminov Y., Sorokin P., Froumin I. Generic and specific skills as components of human capital: New challenges for education theory and practice. Foresight and STI Governance. 2019;13(2):19–41. EDN: QZXFED. DOI: 10.17323/2500-2597.2019.2.19.41.Kyriakides L., Christoforou C., Charalambous C. Y. What matters for student learning outcomes: A meta-analysis of studies exploring factors of effective teaching. Teaching and Teacher Education. 2013;36:143–152. DOI: 10.1016/j.tate.2013.07.010.Kyriakides L., Christoforou C., Charalambous C. Y. What matters for student learning outcomes: A meta-analysis of studies exploring factors of effective teaching. Teaching and Teacher Education. 2013;36:143–152. DOI: 10.1016/j.tate.2013.07.010.Liu Z., Miao Z., Zhan X., Wang J., Gong B., Yu S. X. Large-scale long-tailed recognition in an open world. Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition. Long Beach, CA, USA, Institute of Electrical and Electronics Engineers Inc.; 2021:2537–2546. DOI: 10.1109/CVPR.2019.00264.Liu Z., Miao Z., Zhan X., Wang J., Gong B., Yu S. X. Large-scale long-tailed recognition in an open world. Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition. Long Beach, CA, USA, Institute of Electrical and Electronics Engineers Inc.; 2021:2537–2546. DOI: 10.1109/CVPR.2019.00264.McKenney S., Visscher A. Technology for teacher learning and performance. Technology, Pedagogy and Education. 2019;28(2):129–132. DOI: 10.1080/1475939X.2019.1600859.McKenney S., Visscher A. Technology for teacher learn ing and performance. Technology, Pedagogy and Education. 2019;28(2):129–132. DOI: 10.1080/1475939X.2019.1600859.Papavlasopoulou S., Giannakos M. N., Jaccheri L. Empirical studies on the Maker Movement, a promising approach to learning: A literature review. Entertainment Computing. 2017;18:57–78. DOI: 10.1016/j.entcom.2016.09.002.Papavlasopoulou S., Giannakos M. N., Jaccheri L. Empirical studies on the Maker Movement, a promising approach to learning: A literature review. Entertainment Computing. 2017;18:57–78. DOI: 10.1016/j.entcom.2016.09.002.Pellas N., Kazanidis I., Konstantinou N., Georgiou G. Exploring the educational potential of three-dimensional multi-user virtual worlds for STEM education: A mixedmethod systematic literature review. Education and Information Technologies. 2017;22(5):2235–2279. DOI: 10.1007/s10639-016-9537-2.Pellas N., Kazanidis I., Konstantinou N., Georgiou G. Exploring the educational potential of three-dimensional multi-user virtual worlds for STEM education: A mixed method systematic literature review. Education and Infor mation Technologies. 2017;22(5):2235–2279. DOI: 10.1007/s10639-016-9537-2.Remesh A. Microteaching, an efficient technique for learning effective teaching. Journal of Research in Medical Sciences: The Official Journal of Isfahan University of Medical Sciences. 2013;18(2):158–163. Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC3724377/pdf/JRMS-18-158.pdfRemesh A. Microteaching, an efficient technique for learning effective teaching. Journal of Research in Medi cal Sciences: The Official Journal of Isfahan University of Medical Sciences. 2013;18(2):158–163. Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC3724377/pdf/JRMS-18-158.pdfГлотова М. Ю., Самохвалова Е. А., Мухлынина О. А. Развитие навыков в области нейросетевых технологий для будущих педагогов: возможности и преимущества. Наука и школа. 2023;(5):162–172. EDN: NHOTUQ. DOI: 10.31862/1819-463Х-2023-5-162-172.Glotova M. Yu., Samokhvalova E. A., Mukhlynina O. A. Development of skills in the field of neural network tech-nologies for future teachers: Opportunities and advantages. Nauka i Shkola. 2023;(5):162–172. (In Russian.) EDN: NHOTUQ. DOI: 10.31862/1819-463Х-2023-5-162-172.

The authors declare that there are no conflicts of interest present.