Changing the Educational Paradigm in Post-Pandemic World: Possibilities and Risks of Artificial Intelligence Using
Keywords:artificial intelligence, pandemic, education, technical innovations, empathic abilities
Modern technical innovations are marked by an extremely powerful symbiosis with scientific achievements. Today, there are a number of technologies that can reproduce human thinking and such skills as understanding complex information, drawing independent conclusions, and the ability to engage in meaningful and coherent dialogue. They testify to the possibility of innovative achievements in neuroscience to individually assess the level of concentration and perseverance of students, pace, best time to learn, etc. The robots are not able to inspire despite their computing power, simplicity of interface and ability to store information. They lack empathic abilities. They do not fully promote the realization of social skills. The global pandemic has actualized and intensified the introduction of artificial intelligence in the practice of education. Researchers have expressed a number of concerns that artificial intelligence in exchange for the rapid acquisition and effective use of a variety of information by a person will help to do levelling of the spiritual and emotional sphere of a person, i.e. “human nature in a human being.”
Illoous, E. (2020, Mars 23). L’insoutenable legerete du capitalisme vis-a-vis de notre sante. BIBLIOBS. https://www.nouvelobs.com/idees/20200323.OBS26443/l-insoutenable-legerete-du-capitalisme-vis-a-vis-de-notre-sante-par-eva-illouz.html
Hanaba, S., Mysechko, O., & Bloshchynskyi, I. (2020). Solidarity of Efforts as a Common Condition for the Survival of the World in a Pandemic. Postmodern Openings, 11(1Supl2), 29-38. https://doi.org/10.18662/po/11.1sup2/137
Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., Ko, R., & Sanghvi, S. (2017, November 28). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. Report. McKinsey Global Institute. https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages
Kaku, M. (2015). The Future of the Mind: The Scientific Quest to Understand, Enhance, and Empower the Mind. Anchor Books.
Kaku, M. (2011). Physics of the Future: How Science Will Shape Human Destiny and Our Daily Lives by the Year 2100. Knopf Doubleday Publishing Group.
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