ISSN : 1738-3110
Purpose: the research aims to analyze the impact of the distribution of knowledge through online learning on the intellectual potential of PhD students and produce recommendations for policy to improve intellectual capacity. During the literature review, it was determined that a large number of studies examined the impact of online learning on the quality of education at different levels. Research design, data and methodology: the research methodology is based on subjective assessment and studying the students’ opinions. The basis of the study was a comprehensive analysis of primary data obtained through a sociological survey of PhD students. 324 respondents from humanitarian, medical and natural faculties participated in the survey. Results: the study revealed that online learning helps increase students’ intellectual potential. PhD students had a positive attitude towards the transition from traditional education to online learning. It should be noted that, according to the results, the most popular gadgets were laptops and smartphones, which were characterized by high mobility and ease of use. Based on the obtained results, recommendations were developed for the formation of online learning with a focus on increasing students’ intellectual potential. Conclusions: based on the results of the assessment of educational and innovative potential, policy recommendations and further research in this area were proposed.
Akmal, A., Fikri, A., Rahmawati, T. A., Hendri, Z., & Sari, N. (2021). Measuring online learning readiness during Corona virus pandemic: An evaluative survey on History teachers and students in Tembilahan, Riau, Indonesia. Jurnal Pajar (Pendidikan dan Pengajaran), 5(1), 98–110. http://dx.doi.org/10.33578/pjr.v5i1.8169
Al-Abdallah, G., Al-Khawaldeh, K., & Al-Hadid, A. (2014). Internet usage and traditional distribution channels: The moderating effect of the firm size in Jordan. International Business Research, 7, 81-90. https://doi.org/10.5539/ibr.v7n3p81
Alanazi, A. A., & Alshaalan, Z. M. (2020). Views of faculty members on the use of e-learning in Saudi medical and health colleges during the COVID-19 pandemic. Journal of Nature and Science of Medicine, 3(4), 308–317. https://doi.org/10.4103/JNSM.JNSM_82_20
Alawamleh, M., Al-Twait, L. M., & Al-Saht, G. R. (2020). The effect of online learning on communication between instructors and students during COVID-19 pandemic. Asian Education and Development Studies, 11(2), 380–400. https://doi.org/10.1108/AEDS-06-2020-0131
Alimzhanov, Y. S., & Mansurova, M. Y. (2018). Educational data and learning analytics in KazNU MOOCs platform. Journal of Mathematics, Mechanics, Computer Science, 3(99), 106–115. https://doi.org/10.26577/JMMCS-2018-3-520
Alzhanova, F. G., Kireyeva, А. А., Satpayeva, Z. T., Tsoy, A. A., & Nurbatsin, A. (2020). Analysis of the level of technological development and digital readiness of scientific-research institutes. Journal of Asian Finance, Economics and Business, 7(12), 1133–1147. https://doi.org/10.13106/jafeb.2020.vol7.no12.1133
Arguel, A., Lockyer, L., Kennedy, G., Lodge, J. M., & Pachman, M. (2019). Seeking optimal confusion: A review on epistemic emotion management in interactive digital learning environments. Interactive Learning Environments, 27(2), 200– 210. https://doi.org/10.1080/10494820.2018.1457544
Astafeva, O. V., Astafiev, E. A., & Osipova, I. L. (2020). The impact of online learning on the education system in the context of the spread of coronavirus infection. E3S Web of Conferences, 208, 09044. https://doi.org/10.1051/e3sconf/202020809044
Aziiza, A. A., & Susanto, T. D. (2020). The smart billage model for rural area (case study: Banyuwangi Regency). IOP Conference Series: Materials Science and Engineering, 722, 012011. https://doi.org/10.1088/1757-899x/722/1/012011
Azzi, D. V., Melo, J., Neto, A. D., Castelo, P. M., Andrade, E. F., & Pereira, L. J. (2021). Quality of life, physical activity and burnout syndrome during online learning period in Brazilian university students during the COVID-19 pandemic: A cluster analysis. Psychology, Health & Medicine, 27, 466–480. https://doi.org/10.1080/13548506.2021.1944656
Bergdahl, N., & Nouri, J. (2021). COVID-19 and crisis-prompted distance education in Sweden. Technology, Knowledge and Learning, 26, 443–459. https://doi.org/10.1007/s10758-020- 09470-6
Dhawan, G., Kapoor, R., Dhawan, R., Singh, R., Monga, B., Giordano, J., & Calabrese, E. J. (2020). Low dose radiation therapy as a potential lifesaving treatment for COVID-19- induced acute respiratory distress syndrome (ARDS). Radiotherapy and Oncology, 147, 212–216. https://doi.org/10.1016/j.radonc.2020.05.002 \
El Filali, A. (2022). Students’ (Dis)satisfaction with synchronous online learning in times of COVID-19: Essaouira Higher School of Technology as case study. The Journal of Quality in Education, 12(19), 78–90. https://doi.org/10.37870/joqie.v12i19.303
Erstad, O. (2010). Educating the digital generation - Exploring media literacy for the 21st century. Nordic Journal of Digital Literacy, 5(1), 56-71. https://doi.org/10.18261/ISSN1891- 943X-2010-01-05
Harsasi, M., & Sutawijaya, A. (2018). Determinants of student satisfaction in online tutorial: A study of a distance education institution. The Turkish Online Journal of Distance Education, 19, 89–99. https://doi.org/10.17718/TOJDE.382732
Ibrahim, A., Al-Kaabi, A., & El-Zaatari, W. (2013). Teacher resistance to educational change in the United Arab Emirates. International Journal of Research Studies in Education, 2(3), 25-36. http://dx.doi.org/10.5861/ijrse.2013.254
Joshi, D.R. (2017). Policies, practices and barriers of ICT utilization in school education in Nepal. International Journal of Research in Social Sciences, 7(2), 468-417.
Kireyeva, A.A., & Satybaldin, A.A. (2018). Analysis of gender pay gap in different sectors of the economy in Kazakhstan. Journal of Asian Finance, Economics and Business, 6(2), 231–238. https://doi.org/10.13106/jafeb.2019.vol6.no2.231
Konstantinovsky, D. L., & Popova E. S. (2016). Intellectual potential, innovations, and education. Sociologicheskaja nauka i social'naja praktika [Sociology and social practice], 4, 36-60. https://doi.org/10.19181/snsp.2016.4.4.4761 (In Russian)
Koropanovski, N., Kukić, F., Janković, R., Kolarević, D., Subošić, D., & Orr, R. M. (2022). Intellectual potential, personality traits, and physical fitness at recruitment: relationship with academic success in police studies. Sage Open, 12(1). https://doi.org/10.1177/21582440221079932
Labate, H. (2020). Knowledge access and distribution: the future(s) of what we used to call ‘curriculum’. Paper commissioned for the UNESCO Futures of Education report.
Leonidova, G. V. (2014). Intellectual potential of population: theoretical and methodological framework for research. Economic and social changes: facts, trends, forecast, 1(31), 43-58. https://doi.org/10.15838/esc/2014.1.31.6
Liguori, E., & Winkler, C. (2020). From offline to online: Challenges and opportunities for entrepreneurship education following the COVID-19 pandemic. Entrepreneurship Education and Pedagogy, 3(4), 346–351. https://doi.org/10.1177/2515127420916738
Maharjan, R. (2021). Prevalence of smartphone addiction during COVID-19 Pandemic lockdown and its impact on online learning in Kathmandu. Mangal Research Journal, 2, 47-58. https://doi.org/10.3126/mrj.v2i1.43575
Mahmood, N. H., Kadir, D. H., & Birdwood, H. Q. (2022). The full factorial design approach to determine the attitude of university lecturers towards e-learning and online teaching due to the COVID-19 pandemic. Cihan University-Erbil Scientific Journal, 6(1), 20-25. https://doi.org/10.24086/cues.v6n1y2022.pp20-25
Meteshkin, K. O., Pomortseva, O. Y., & Kobzan, S. M. (2021). Integration of traditional and distance learning methods in high school. Information Technologies and Learning Tools, 83(3), 226–236. https://doi.org/10.33407/itlt.v83i3.4221
Mynbayeva, A., Vishnevskaya, A., & Sadvakassova, Z. (2015). Diagnosis of students intellectual potential on pedagogical specialties. Procedia - Social and Behavioral Sciences, 171, 776–781. https://doi.org/10.1016/j.sbspro.2015.01.191
Nashruddin, N., Alam, F. A., & Tanasy, N. (2020). Perceptions of teacher and students on the use of e-mail as a medium in distance learning. Berumpun: International Journal of Social, Politics, and Humanities, 3(2), 182–194. https://doi.org/10.33019/berumpun.v3i2.40
Parisi, J. M., Rebok, G. W., Xue, Q.-L., Fried, L. P., Seeman, T. E., Tanner, E. K., Gruenewald, T. L., Frick, K. D., & Carlson, M. C. (2012). The role of education and intellectual activity on cognition. Journal of Aging Research, 2022, 416132. https://doi.org/10.1155/2012/416132
Paudel, P. (2021). Online education: benefits, challenges and strategies during and after COVID-19 in higher education. International Journal on Studies in Education, 3(2), 70-85. https://doi.org/10.46328/ijonse.32
Pliatsikas, C., Veríssimo, J., Babcock, L., Pullman, M. Y., Glei, D. A., Weinstein, M., Goldman, N., & Ullman, M. T. (2019). Working memory in older adults declines with age, but is modulated by sex and education. Quarterly Journal of Experimental Psychology, 72, 1308–1327. https://doi.org/10.1177/1747021818791994
Ramachandran, K., & Dinesh Kumar, R. (2021). Perception of medical students about online learning in the COVID-19 era. Biomedicine, 41(1), 139–145. https://doi.org/10.51248/.v41i1.549
Rini, H. P., & Sawitri, D. K. (2022). Effectiveness of online learning: The learning methods and media. Ilomata International Journal of Social Science, 3(1), 12–21. https://doi.org/10.52728/ijss.v3i1.389
Rubin, M., Scevak, J., Southgate, E., Macqueen, S., Williams, P.D., & Douglas, H.E. (2018). Older Women, Deeper Learning, and Greater Satisfaction at University: Age and Gender Predict University Students’ Learning Approach and Degree Satisfaction. Journal of Diversity in Higher Education, 11(1), 82–96. https://doi.org/10.1037/dhe0000042
Sabirli, Z. E., & Çoklar, A. N. (2020). The effect of educational digital games on education, motivation and attitudes of elementary school students against course access. World Journal on Educational Technology: Current Issues, 12(4), 326–338. https://doi.org/10.18844/wjet.v12i4.5142
Samaibekova, Z., Zaid, S. S. M., Molchanova, A., & Rybakova, A. (2019). Managing the intellectual potential in the higher education system. Terra economicus, 4(17), 74-79. https://doi.org/10.23683/2073-6606-2019-17-4-174-189
Saykili, A. (2018). Distance education: Definitions, generations and key concepts and future directions. International Journal of Contemporary Educational Research, 5, 2–17.
Shawaqfeh, M. S., Al Bekairy, A. M., Al-Azayzih, A., Alkatheri, A. A., Qandil, A. M., Obaidat, A. A., Al Harbi, S., & Muflih, S. M. (2020). Pharmacy students perceptions of their distance online learning experience during the COVID-19 pandemic: A cross-sectional survey study. Journal of Medical Education and Curricular Development, 7, 2382120520963039. https://doi.org/10.1177/2382120520963039.
Shipunova, O. D., Berezovskaya, I. P., Mureyko, L. M., Evseev, V. V., & Evseeva, L. I. (2018). Personal intellectual potential in the e-culture conditions. Espacios, 39(40), 15.
Sobolieva-Tereshchenko, O. (2019). Types of distribution channels educational services of higher educational institutions. Continuing Professional Education: Theory and Practice, 1-2, 60–65. https://doi.org/10.28925/1609-8595.2016(1-2)6065
Stárek, L., & Koubková Pavlů, M. (2021). Information and communication technologies at the 1st stage of the primary school during pandemioe COVID-19. Journal of Technology and Information Education, 13(2), 175–190. https://doi.org/10.5507/JTIE.2021.013
Stošić, L., Dermendzhieva S., & Tomczyk, L. (2020). Information and communication technologies as a source of education. World Journal on Educational Technology: Current Issues, 12(2), 128–135. https://doi.org/10.18844/wjet.v12i2.4815
Veletsianos, G., Kimmons, R., Larsen, R., & Rogers, J. (2021). Temporal flexibility, gender, and online learning completion. Distance Education, 42(1), 22-36. https://doi.org/10.1080/01587919.2020.1869523
Wahab, S., & Iskandar, M. (2020). Teacher’s performance to maintain students’ learning enthusiasm in the online learning condition. JELITA, 1(2), 34–44.
Weller, M. J., Jordan, K., DeVries, I., & Rolfe, V. (2018). Mapping the open education landscape: Citation network analysis of historical open and distance education research. Open Praxis, 10 (2), 109–126. https://doi.org/10.5944/openpraxis.10.2.822
Yaghi, A. (2021). Impact of online education on anxiety and stress among undergraduate public affairs students: A longitudinal study during the COVID-19 pandemic. Journal of Public Affairs Education, 28, 91–108. https://doi.org/10.1080/15236803.2021.1954469
Yan, L., Whitelock-Wainwright, A., Guan, Q., Wen, G., Gašević, D., & Chen, G. (2021). Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study. British Journal of Educational Technology, 52, 2038– 2057. https://doi.org/10.1111/bjet.13102
