The aim of the study was to develop and test the effectiveness of an autonomous learning intelligent platform in post-secondary education. It was conducted on the basis of the Institute of Dentistry named after E.V. Borovsky in I.M. Sechenov First Moscow State Medical University (Moscow, Russia) and Humanitarian and technical academy (Kokshetau, Kazakhstan). This research involved 59 teachers and 390 students, who comprised the total sample of 449 respondents. The experiment consisted of three stages – introductory, experimental, and final. The introductory stage included the distribution of enrolled students into the experimental and control groups. Besides, at the introductory stage, the development of questionnaires directed at identifying students’ and teachers’ readiness to implement autonomous learning was performed. Apart from this, the involved educators were required to fill the learning platform with predetermined training content. The considered intelligent learning platform was developed by programmers by prior agreement with educational institutions under study. The experimental stage was aimed at introducing the designed model of autonomous learning based on the created intelligent platform. The final stage implied surveying of all study participants according to the developed questionnaires. After the introduction of the created autonomous learning model, it was revealed that 51.5% of enrolled teachers were ready for self-directed education at a high level, 20.4% – at a satisfactory level, 18.4% – at a moderate level, and 9.7% – at a low level. Among the students of Sechenov University, 21% of respondents had a high level of readiness for autonomous learning based on intelligent platforms, 27% of students had a sufficient level, 35% – moderate, and 17% – low. Among the Humanitarian and technical academy students, 29% had a high readiness for autonomous learning, 30% were ready at a sufficient level, 25% at a moderate, and 16% at a low level. This study provided an opportunity to use the developed questionnaires and the model of autonomous learning in post-secondary education for further research on the implementation of self-directed training.

In the conditions of digitalization, which has penetrated all spheres of human life and society, artificial intelligence (AI) and ultra-precise neural networks influence our thinking and form consumer demand and loyalty. Modern AI applications cover all the essential areas of activity: education, manufacturing, marketing, management, law, medicine, and e-commerce. The study aims to build a methodology for analyzing the influence of public opinion in social networks, particularly micro and nano influencers, through AI and machine learning on the effectiveness of companies' marketing activities. The authors studied the stages of consumer interaction with marketing profits and highlighted the role of AI technologies in each of them. They showed that public opinion was the main driving force for effective sales of products on the Internet. Based on empirical data, a strong direct relationship was found between the number of influencers and the dynamics of marketing profit: it was revealed that the correlation coefficients between the marketing profit index and the number of micro and nano influencers were 0.86–0.99 in all surveyed companies implementing AI technologies, regardless of the market niche. Based on the expert method, the company's marketing system is investigated. An integral indicator of its effectiveness is introduced, consisting of sub-indices of analysis, diffusion and marketing information management. The authors considered the factors of profit from marketing activities of five companies actively implementing AI in brand promotion, including those using the leadership opinions of influencers. The applied value of the developed methodology is the possibility of using it to construct Internet marketing strategies by companies. By permanently monitoring the relationship between the marketing profit index and the degree of brand popularization in social networks, companies can manage sales at all stages of consumer communications, optimizing the costs of influencers promoting products on different social platforms. The prospects for further research are to study the relationship between the degree of interactivity of the influencer with the audience, the content posted by it with the conversion rate and sales volumes; grouping and identification of influencers based on the clustering method.

This research identified structural differences between the religious and cultural components of human capital in Western and Russian intellectual traditions and created a specific holistic structural conceptual framework based on which further research can be carried out, or decisions can be made about determining human capital for scientific and public policy purposes. Experts selected research texts for examination, and their structural-semantic analysis was used as a research method. A group of 32 authoritative Russian university experts was formed to select the most significant and influential studies of Western scholars on human capital and changes in the attitude towards assessing its religious and cultural components. The selected works were analyzed to determine common concepts for which semantic relationships were established. As a result, a structural diagram of Western research's main ideas concerning the religious and cultural components of human capital was created. Among the totality of basic ideas that define the Western paradigm, there is a generally negative assessment of religiosity as a component of psychology that influences productive forces; a high level of religiosity is rarely correlated with economic prosperity and is not necessarily associated with high levels of morality or health. The novelty of the study is due to the fact that so far no attempts have been made to highlight the most important features of the Western paradigm of understanding the role of a religious or cultural component in the development of human capital and to apply it to determine the differences and possible strategies for the development of the individual economy (in our example, the Russian one). The paper also analyzed the essence of the contradiction between Western and Russian concepts of human capital. This study could serve as a foundation for further developing a strategy for identifying and using human potential to determine public policy for cultural and economic development.

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Purpose This paper aims to study the developed countries’ experience on the cyberbullying legal regulation among adolescents, to identify existing shortcomings in the developing countries’ laws and to develop recommendations for regulatory framework improvement. Design/methodology/approach The authors have studied the state regulatory practice of the UK, the USA, Canada, Malaysia, South Africa, Turkey, UAE and analyzed the statistics of 2018 on the cyberbullying manifestation among adolescents in these countries. Findings The study results can encourage countries to create separate cyberbullying legislation and periodically review and modify already existing legislation. Originality/value The study provides a list of the recommendations to regulate cybercrime in developing countries and prevent it as well. The results may contribute to creating laws related to the regulation of cyberbullying in countries where such legislation does not exist yet or existing regulatory legal acts do not bring the expected results, namely, in Post-Soviet countries and other developing countries of the world.