Search

BIG DATA TECHNOLOGIES AS A MEANS OF IMPROVING THE EFFECTIVENESS OF TRAINING SESSIONS IN SVE // Pedagogical Review. 2022. Issue 4 (44). P. 72-80

The results of a comparative analysis of the concepts of “human potential” and “human capital” in the context of considering the relevance and specifics of the use of Big Data technologies in education are presented. The materials of the article are prepared based on the use of methods of theoretical analysis, Big Data, observation, analysis of products of activity, testing of students to identify their abilities, comparison and analogy. The possibilities of big data as a means of increasing the effectiveness of educational practices are updated. The expediency of using Big Data in the educational process of secondary vocational education focused on the development of human potential is argued. The description of the features of the organization and the results of experimental work carried out on the basis of the Tomsk State Pedagogical College on the approbation of the author’s vision of the possibility of using Big Data technologies in the practice of educational work is given. The increase in the effectiveness of the training session of a professional educational organization when using Big Data in the context of providing conditions for the self-realization of each student is proved. The guidelines for the development of the experience of using Big Data technologies to enrich educational contexts of an anthropocentric orientation are set.

Keywords: human potential, human capital, secondary vocational education, artificial intelligence, big data, machine learning, Big Data

Ways to use big data technologies in the practice of vocational guidance of schoolchildren for teaching activities // Pedagogical Review. 2025. Issue 1 (59). P. 56-65

The paper presents current trends in the career guidance of schoolchildren for the teaching profession related to big data technologies, artificial intelligence and the personification of career trajectories. The possibilities of a basic data analysis source are shown using the example of the VKontakte social network, which can be used to identify the identification features of the pedagogical community and predict the propensities of schoolchildren to the teaching profession. The article presents the results of an empirical study, during which an organizational and pedagogical model of the use of big data technologies in the regional system of professional orientation of schoolchildren to teaching activities based on the methods of predictive analytics was formed. The model allows us to identify the key factors influencing the choice of a teaching profession and form personalized recommendations for career path building for schoolchildren. The results of the study can be used to develop new tools and methods of career guidance aimed at improving the effectiveness of choosing a future profession and reducing the risk of professional maladjustment. The materials of the article are prepared based on the use of methods of theoretical and structural analysis, focus groups, expert method, search modeling method, theoretical research (idealization, modeling, schematization,), methods of theoretical and structural analysis, structural semiotic analysis, predictive analytics and simulation based on neural network data and parsing.

Keywords: big data, professional orientation, pedagogical activity, machine learning, forecasting, education personalization