International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 9, Issue 4 (April 2022), Pages: 166-172

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 Original Research Paper

 Title: Innovations in social service (education) in state-church relations in the conditions of digitalization of society and pandemic

 Author(s): Mikhail V. Vinichenko 1, *, Olga V. Rybak 1, Marina V. Rybakova 2, Oksana L. Chulanova 3, Lidia S. Cherekhovskaya 4

 Affiliation(s):

 1Faculty of Humanities, Russian State Social University, Moscow, Russia
 2Department of Sociology of Management, Lomonosov Moscow State University, Moscow, Russia
 3Department of State and Municipal Management, Surgut State University, Surgut, Russia
 4Faculty of Communication Management, Russian State Social University, Moscow, Russia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-1973-3485

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.04.020

 Abstract:

The purpose of the study was to identify innovative approaches to activities in the system of state-church relations in social service (education) within the framework of interaction between an Orthodox Monastery and the Russian State Social University. The interaction between St. Nicholas Chernoostrovsky Convent and Russian State Social University (RSCU) has developed from conceptual foundations to the formation of a training system for Orthodox media. This article is the first to identify innovations: implementation of a modular, continuous model for the development of orphans in modern society, combining the efforts of secular and spiritual education; unification of philosophy and worldview, both religious and cultural, in the context of the digitalization of society and pandemic restrictions; formation of a multi-vector model of education with simultaneous development in several professional (church) directions and (or) an increase in social significance; use of hybrid forms of preparation and conduct of classes in a secular and church educational environment. The strong point of the article is a systematic approach to the study of the problem and the identified innovations, which make it possible to improve social service in the context of the digitalization of society and the COVID 19 pandemic. The use of the results obtained by other researchers can serve to develop the system of state-church relations in social service (education) of different faiths. 

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Innovation, Digitalization, Social service, Education, State-church relations, Orthodox monastery, Social university

 Article History: Received 21 November 2021, Received in revised form 21 February 2022, Accepted 21 February 2022

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Vinichenko MV, Rybak OV, and Rybakova MV et al. (2022). Innovations in social service (education) in state-church relations in the conditions of digitalization of society and pandemic. International Journal of Advanced and Applied Sciences, 9(4): 166-172

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 References (32)

  1. Abubakar AM, Behravesh E, Rezapouraghdam H, and Yildiz SB (2019). Applying artificial intelligence technique to predict knowledge hiding behavior. International Journal of Information Management, 49: 45-57. https://doi.org/10.1016/j.ijinfomgt.2019.02.006   [Google Scholar]
  2. Ahmed H and La HM (2021). Evaluating the co-dependence and co-existence between religion and robots: Past, present and insights on the future. International Journal of Social Robotics, 13(2): 219-235. https://doi.org/10.1007/s12369-020-00636-x   [Google Scholar]
  3. Bartik TJ and Hershbein BJ (2020). Coronavirus and the economy. Employment Research Newsletter, 27(2): 1–2. https://doi.org/10.17848/1075-8445.27(2)-1   [Google Scholar]
  4. Burrell L (2019). Artificial intelligence brings out the worst and the best in us. MIT Sloan Management Review, 60(2): 1-1.   [Google Scholar]
  5. Catacutan KJA, Maramag RA, Bartolome MA, Hiquiana R, and Mendezabal M (2020). Employability study of the business administration graduates of catholic educational institution. Universal Journal of Educational Research, 8(1): 156-161. https://doi.org/10.13189/ujer.2020.080119   [Google Scholar]
  6. Celik M (2020). Religious conversion in early post‐ottoman Bulgaria: A case study of ruse. Journal of Religious History, 44(1): 103-124. https://doi.org/10.1111/1467-9809.12641   [Google Scholar]
  7. Cheong PH (2021). Bounded religious automation at work: Communicating human authority in artificial intelligence networks. Journal of Communication Inquiry, 45(1): 5-23. https://doi.org/10.1177/0196859920977133   [Google Scholar]
  8. Cheong PH, Huang S, and Poon JP (2011). Religious communication and epistemic authority of leaders in wired faith organizations. Journal of Communication, 61(5): 938-958. https://doi.org/10.1111/j.1460-2466.2011.01579.x   [Google Scholar]
  9. Delio I (2020). Religion and posthuman life: A note on teilhard de chardin’s vision. Toronto Journal of Theology, 36(2): 223-234. https://doi.org/10.3138/tjt-2020-0051   [Google Scholar]
  10. Frolova EV and Rogach OV (2021). Digitalization of higher education: Advantages and disadvantages in student assessments. European Journal of Contemporary Education, 10(3): 616-625. https://doi.org/10.13187/ejced.2021.3.616   [Google Scholar]
  11. Frolova EV, Medvedeva NV, Kabanova EE, Kurbakova SN, and Vinichenko MV (2016). Social partnership in Russia: Prerequisites, problems and trends. Journal of Advanced Research in Law and Economics, 2(16): 221-228.   [Google Scholar]
  12. Garnelo M and Shanahan M (2019). Reconciling deep learning with symbolic artificial intelligence: Representing objects and relations. Current Opinion in Behavioral Sciences, 29: 17-23. https://doi.org/10.1016/j.cobeha.2018.12.010   [Google Scholar]
  13. Geraci RM (2020). A hydra‐logical approach: Acknowledging complexity in the study of religion, science, and technology. Zygon: Journal of Religion and Science, 55(4): 948-970. https://doi.org/10.1111/zygo.12650   [Google Scholar]
  14. Gleason NW (2018). Higher education in the era of the fourth industrial revolution. Springer Nature, Berlin, Germany. https://doi.org/10.1007/978-981-13-0194-0   [Google Scholar]
  15. Hu J, Zhang QM, and Zhou T (2019). Segregation in religion networks. EPJ Data Science, 8(6): 1-11. https://doi.org/10.1140/epjds/s13688-019-0184-x   [Google Scholar]
  16. IMF (2020). Limit economic fallout of coronavirus with large targeted policies. International Monetary Fund, Washington, USA.   [Google Scholar]
  17. Karácsony P, Vinichenko MV, Antalík I, Dávid LD, and Vasa L (2021). Analysis of cross-border commuters’ spatial mobility between western regions of Hungary and Slovakia. Geographia Technica, 16(1): 128-140. https://doi.org/10.21163/GT_2021.161.11   [Google Scholar]
  18. Kaunda CJ (2020). Bemba mystico‐relationality and the possibility of artificial general intelligence (AGI) participation in imago Dei. Zygon: Journal of Religion and Science, 55(2): 327-343. https://doi.org/10.1111/zygo.12598   [Google Scholar]
  19. Lee AH (2019). Science and religion as languages: Understanding the science–religion relationship using metaphors, analogies, and models. Zygon: Journal of Religion and Science, 54(4): 880-908. https://doi.org/10.1111/zygo.12569   [Google Scholar]
  20. Matraeva AD, Rybakova MV, Vinichenko MV, Oseev AA, and Ljapunova NV (2020). Development of creativity of students in higher educational institutions: Assessment of students and experts. Universal Journal of Educational Research, 8(1): 8-16. https://doi.org/10.13189/ujer.2020.080102   [Google Scholar]
  21. Medvedeva NV, Frolova EV, and Rogach OV (2021). Territorial public self-government and local government: Interaction and prospects for partnership. Sociological Studies, 10(10): 72-82.   [Google Scholar]
  22. Ossmy O, Gilmore RO, and Adolph KE (2019). Auto ViDev: A computer-vision framework to enhance and accelerate research in human development. In Science and Information Conference, Springer, Las Vegas, USA: 147-156. https://doi.org/10.1007/978-3-030-17798-0_14   [Google Scholar]
  23. Porayska-Pomsta K, Alcorn AM, Avramides K, Beale S, Bernardini S, Foster ME, and Smith TJ (2018). Blending human and artificial intelligence to support autistic children’s social communication skills. ACM Transactions on Computer-Human Interaction, 25(6): 1-35. https://doi.org/10.1145/3271484   [Google Scholar]
  24. Sanko AM (2019). Functions of university teachers in modern conditions. Vestnik of Samara University. History, Pedagogics, Philology, 25(1): 57-62. https://doi.org/10.18287/2542-0445-2019-25-1-57-62   [Google Scholar]
  25. Singler B (2020a). The AI creation meme: A case study of the new visibility of religion in artificial intelligence discourse. Religions, 11(5): 253. https://doi.org/10.3390/rel11050253   [Google Scholar]
  26. Singler B (2020b). “Blessed by the algorithm”: Theistic conceptions of artificial intelligence in online discourse. AI and Society, 35(4): 945-955. https://doi.org/10.1007/s00146-020-00968-2   [Google Scholar] PMid:32355422 PMCid:PMC7191134
  27. Tan C (2020). Digital confucius? Exploring the implications of artificial intelligence in spiritual education. Connection Science, 32(3): 280-291. https://doi.org/10.1080/09540091.2019.1709045   [Google Scholar]
  28. Vinichenko MV, Rybakova MV, Vinogradova MV, Malyshev MA, and Maksimov AA (2020). The effect of digital economy and artificial intelligence on the participants of the school educational process. Propósitos y Representaciones, 8(SPE2): 694. https://doi.org/10.20511/pyr2020.v8nSPE2.694   [Google Scholar]
  29. Vinichenko MV, Vinogradova MV, Nikiporets-Takigawa GY, and Rybakova MV (2021). The impact of the pandemic on the quality of education and the image of a university. XLinguae, 14(1): 17-37. https://doi.org/10.18355/XL.2021.14.01.02   [Google Scholar]
  30. Wang D, Fang S, and Fu H (2019). Impact of control and trust on megaproject success: The mediating role of social exchange norms. Advances in Civil Engineering, 2019: 4850921. https://doi.org/10.1155/2019/4850921   [Google Scholar]
  31. Zhongyuan L, Melnichuk AV, Makushkin SA, Vinichenko MV, and Azhmuratova MA (2020). Social protection management: Anti-fraud technologies. Journal of Advanced Research in Dynamical and Control Systems, 12(4): 1687-1693. https://doi.org/10.5373/JARDCS/V12SP4/20201650   [Google Scholar]
  32. Zimmermann KF, Karabulut G, Bilgin MH, and Doker AC (2020). Inter‐country distancing, globalisation and the coronavirus pandemic. The World Economy, 43(6): 1484-1498. https://doi.org/10.1111/twec.12969   [Google Scholar] PMid:32836720 PMCid:PMC7267125