© Media Watch 11 (4) 668-678, 2020
ISSN 0976-0911 | e-ISSN 2249-8818
Effect of Media and Non-Media Factors on the Development of Online Education in Russia
Valentina E. Guseva, & Elena N. Fokina
Tyumen Industrial University, Russian Federation
The accelerated development of online education is mainly due to advances in information and communication technologies and public life’s widespread digitalization. However, the factors in the development of e-learning are rather diverse, and their influence is heterogeneous. To explore the effect of media and non-media factors, the paper analyses Russia’s online education market from 2011 to 2019. We hypothesize that it is possible to expand the contribution of the e-learning market to GDP by increasing investments in EdTech and that there is a direct relationship between the level of investment in online education and the internet penetration rate. The hypotheses are tested using statistical and correlation methods. The research results indicate that both the hypotheses were confirmed. There is a direct moderate relationship between the Internet penetration rate in Russia and the volume of investment in the online education market. There is a strong direct relationship between the size of GDP and the volume of investment in the online education market.
Keywords: Online learning, EdTech, internet penetration rate, media factors, investment, academic strategies
Abdurakhmanova, U. K., Bekpulatov, Kh. O., & Khudoinazarov, M. Sh. (2018). The role of information technology in improving the quality of education. ZnanstvenaMisel, 7-2(20), 10–12.
Aksenova, G. N. (2020). Online education development trends in Russia. E-Scio, 5(44), 217–225.
Akugizibwe, E., & Ahn, J. Y. (2020). Perspectives for effective integration of e-learning tools in university mathematics instruction for developing countries. Education and Information Technologies, 25, 889–903. https://doi.org/10.1007/s10639-019-09995-z
Attwell, G. (2019). E-learning at the workplace. In: S. McGrath, M. Mulder, J. Papier, & R. Suart (eds.). Handbook of Vocational Education and Training. Springer, Cham. https://doi.org/10.1007/978-3-319-49789-1_110-1
Baromychenko, V. F. (2017). Development of information and communication technologies at the present stage. Bulletin of Scientific Conferences, 1-1(17), 24–25.
Bondarenko, T. G., & Kolmakov, V. V. (2018). Distance education as an active educational technology: Rationale for implementation. Azimuth of Scientific Research: Pedagogy and Psychology, 7(3-24), 53–57.
Borovskaya, Ì.À. (, 2019). Modern digital educational environment in the Russian Federation. Retrieved from https://clck.ru/RHRiE
Brown, A., & Green, T. (2019). Issues and trends in instructional technology: Access to mobile technologies, digital content, and online learning opportunities continues as spending on IT remains steady. In: R. Branch, H. Lee, & S. Tseng. (eds.). Educational Media and Technology, Yearbook, vol. 42. Springer, Cham. https://doi.org/10.1007/978-3-030-27986-8_1
Cai, G. Q., & Wang Q. H. (2020). Research on online learning platform based on cloud computing and big data technology. In: J. Shen, Y. C. Chang, Y. S. Su, & H. Ogata. (eds.). Cognitive cities. IC3 2019. Communications in Computer and Information Science, vol. 1227. Springer, Singapore.https://doi.org/10.1007/978-981-15-6113-9_41
EdMarket. (n.d.). Russian online education market research 2020. Retrieved from https://research.edmarket.ru/
Garces-Voisenat, J.-P. (2016). Equality of opportunity in education: A case study of Chile and Norway. Journal of Eurasian Social Dialogue, 1(1), 42–49.
GfK. (2018). Internet penetration in Russia: Results of 2017–2018. Retrieved from https://d-russia.ru/wp-content/uploads/2018/01/GfK_Rus_Internet_Penetration_in_Russia_2017-2018.pdf
Gul, D. V. (2014). Online education in Russia: Barriers and prospects (pp. 100–109). Jubilee collection of scientific works of lecturers, graduate students, and undergraduates of the sociological faculty of Samara State University. Samara: Samara University.
Halkos, G., & Skouloudis, A. (2016). Cultural dimensions and corporate social responsibility: A cross-country analysis. Journal of Eurasian Social Dialogue, 1(2), 12–29.
HolonIQ. (2020). $3B Global EdTech venture capital for Q1 2020. Retrieved from https://www.holoniq.com/notes/3b-global-edtech-venture-capital-for-q1-2020/
HSE. (n.d.). Higher School of Economics. Unemployment rate by educational level. Retrieved from https://memo.hse.ru/ind_w10_0_02
HSE. (2020a). Higher School of Economics. Digital economy 2020. Retrieved from https://issek.hse.ru/digec2020
HSE. (2020b). Higher School of Economics. Traditional forms of education do not fit into the online format. Retrieved from https://ioe.hse.ru/news/341458289.html
IE. (2020). International Education. Retrieved from https://www.ei-ie.org
Interfax. (2020). EdTech market in Russia in supplementary vocational and adult education. Retrieved from https://academia.interfax.ru/ru/analytics/research/4257/
Ishkhanyan, M. V., & Karpenko, N. V. (2016). Econometrics. Part 1. Paired regression. Moscow: MIIT University.
Karo, D., & Petsangsri, S. (2020). The effect of online mentoring system through professional learning community with information and communication technology via cloud computing for pre-service teachers in Thailand. Education and Information Technologies, August 18.https://doi.org/10.1007/s10639-020-10304-2
Kozlova, T. V. (2008). Human capital as a structural element of national wealth. Tomsk State University Journal, 12(68), 374–378.
Kuznetsov, N. V. (2019). Online education: Key trends and barriers. E-Management, 2(1), 19–25. https://doi.org/10.26425/2658-3445-2019-1-19-25
Litau, E. Y. (2018). Cognitive science as a pivot of teaching financial disciplines. Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020, 72–80.
MBA. (2020). Trends in the business education market. Retrieved from http://mba.susu.ru/info/news/tendentsii-rynka-biznes-obrazovaniya/
Metaxas, T. (2016). Corporate social responsibility in European organizations: A universal idea? Journal of Eurasian Social Dialogue, 1(2), 30–40.
Meza-Bolaños, D., CompañRosique, P., & SatorreCuerda, R. (2019). Analysis of relevant factors to measure the impact of investment in e-learning ecosystems in public universities. In: Á. Rocha, C. Ferrás, & M. Paredes. (eds.). Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol. 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_73
MOEX. (2019). Moscow Exchange. Online businesses – the future here and now. Retrieved from https://place.moex.com/analytics/news/internet-kompanii-buduschee-zdes-i-seychas
Naletova, I. V. (2015). Changes in the education system under the influence of online technologies. Gaudeamus, 2(26), 9–13.
Nie, D., Panfilova, E., Samusenkov, V., & Mikhaylov, A. (2020). E-learning financing models in Russia for sustainable development. Sustainability, 12(11), 4412. https://doi.org/10.3390/su12114412
Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: An emerging pedagogical approach enabled by a smart learning environment. In: M. Chang, E. Popescu, Kinshuk, N.-S. Chen, M. Jemni, R. Huang, J. M. Spector, & D. G. Sampson. (eds.). Foundations and Trends in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-6908-7_24
Research and Markets. (, 2020). Global Online Education Market – Forecasts from 2020 to 2025. Retrieved from https://www.researchandmarkets.com/reports/4986759/global-online-education-market-forecasts-from
Rosstat. (2020). The Federal State Statistics Service of the RF. Retrieved from https://rosstat.gov.ru
San-Martín, S., Jiménez, N., Rodríguez-Torrico, P., Piñeiro-Ibarra, I. (2020). The determinants of teachers’ continuance commitment to e-learning in higher education. Education and Information Technologies, 25, 3205–3225. https://doi.org/10.1007/s10639-020-10117-3
Seaman, J. E., Allen, I. E., & Seaman, J. (2018). Grade increase: Tracking distance education in the United States. Babson Survey Research Group. Retrieved from https://onlinelearningsurvey.com/reports/gradeincrease.pdf
Sergeev, A. G., Zhigalov, I. E., Balandina, V. V. (2016). Introduction to e-learning. Vladimir: VlSU University.
Statista. (2019). Market volume of online education in Russia in 2016 with a forecast until 2021, by education level. Retrieved from https://www.statista.com/statistics/1072423/online-education-market-volume-in-russia-by-type/
Statista. (2020). Most popular platforms for online courses in Russia in 2019. Retrieved from https://www.statista.com/statistics/1073587/most-popular-online-course-platforms-russia/
Sulimin, V. V., &Shvedov, V. V. (2018). Digital economy and online education: Problems and prospects. Global Scientific Potential, 6(87), 40–41.
TAdviser. (2014). Online education. Global market. Retrieved from https://www.tadviser.ru/a/235316
Tagarov, B. Zh. (2018). Main avenues for the online education market development in Russia. Creative Economics, 12(8), 1201–1212. https://doi.org/10.18334/ce.12.8.39269
Tan, S. C., Ho, C. M., & Pang, V. (2016). Education inequality: Become better or worse? Journal of Eurasian Social Dialogue, 1(1), 1–5.
Technavio. (2020). Online Education Market by Type and Geography – Forecast and Analysis 2020-2024. Retrieved from https://www.technavio.com/report/online-education-market-industry-analysis
Telecom Daily. (2020). Forecast: Online education in the Russian Federation will grow to 40 billion rubles. Retrieved from http://tdaily.ru/news/2020/03/24/prognoz-onlayn-obuchenie-v-rf-vyrastet-do-40-mlrd-rub
Titov, B. N. (2014). Evolution and development of theoretical background of the concept of life-long learning. Professional Education in Russia and Abroad, 1(13), 10–19.
Uvarov, A. Yu., & Frumina, I. D. (2019). Difficulties and prospects of digital transformation of education. Moscow: HSE Publishing house.
Varavva, M. Yu. (2008). Stages of formation and development trends of the knowledge economy. Vestnik of Orenburg State University, 4(85), 45–51.
Virkus, S., Kiriniæ, V., & Begièeviæ Reðep, N. (2020). The role of e-learning and information culture in educational institutions in transforming European education. In: L. Moos, N. Alfireviæ, J. Pavièiæ, A. Koren, & L. Èaèija. (eds.). Educational Leadership, Improvement and Change. Palgrave Studies on Leadership and Learning in Teacher Education. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-47020-3_9
Vlasov, A. I., & Demin, A. A. (2017). Visual methods of formalization of knowledge in the conditions of the synchronous technologies of system engineering. In: ACM International Conference Proceeding Series.https://doi.org/10.1145/3166094.3166098
Vlasov, A. I., Juravleva, L. V., &Shakhnov, V. A. (2019). Visual environment of cognitive graphics for end-to-end engineering project-based education. Journal of Applied Engineering Science, 17(1), 99–106. https://doi.org/10.5937/jaes17-20262
Voloshin, D. (2020). Where is the EdTech market heading? Retrieved from https://vc.ru/u/387242-terra-cognito/92714-kuda-dvizhetsya-rynok-edtech-trendy-2020-ot-dmitriya-voloshina
World Bank. (n.d.). In search of a new “Silver Age” in Russia: Factors and consequences of population aging. Retrieved from http://documents1.worldbank.org/curated/en/820371468190168559/pdf/99487-RUSSIAN-WP-PUBLIC-Box393204B-silver-aging-rus-web.pdf
Wozniak, K. (2020). Personalized learning for adults: An emerging andragogy. In: S. Yu, M. Ally, & A. Tsinakos. (eds.). Emerging technologies and pedagogies in the curriculum. Bridging Human and Machine: Future Education with Intelligence. Springer, Singapore. https://doi.org/10.1007/978-981-15-0618-5_11
Yessenbekova, U. M., Turzhan, O. I., Koshanova, K. A., Yegemberdiyev, I. D., & Kutym, B. K. (2020). Role of media in addressing the socialization problems of the younger generation: The case of Kazakhstan. Media Watch, 11(2), 348–355. https://doi.org/10.15655/mw/2020/v11i2/195659
Zaborovskaya, O. V. (2005). Human capital and the role of the education system in its formation. Innovations, 4(81), 68–72.
Valentina E. Guseva (PhD., Omsk State Pedagogical University, 2008) is an Assistant Professor in the Department of Business Informatics and Mathematics at Tyumen Industrial University, Tyumen, Russian Federation. Her research interests are in mathematical methods in economics, forecasting processes, statistical methods of information processing, institutional economy, public-private partnership, and sustainability.
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