РЕСУРСНО-ОРІЄНТОВАНА МЕТОДИКА ВИВЧЕННЯ ГЛОБАЛЬНИХ ЕКОНОМІЧНИХ РЕЙТИНГІВ У СИСТЕМІ ПІДГОТОВКИ МАЙБУТНІХ ФАХІВЦІВ З БІЗНЕС-ЕКОНОМІКИ

In the article, the authors present a resource-oriented methodology of studying global economic ratings in the system of training future specialists in business economics, which consists of 5 stages: theoretical, search, analytical, summarizing and predictive. The theoretical stage involves the presentation of theoretical material to students: the conceptual and categorical apparatus of the discipline "Global Business Environment", its purpose, subject and tasks, methods of calculating global indices. Teaching methods: visualization of educational content, interactive discussions, mind mapping. The search stage directs students to use Internet resources to search for information on the assigned tasks. Teaching methods: contextual search, visual reading method, mathematical and statistical methods (collection, grouping, generalization). The analytical stage aims to perform indicative tasks aimed at selecting the necessary information, performing successive generalizations of the found information and analytical calculations. Teaching methods: research methods, mathematical and statistical methods (collection, grouping, generalization, sampling method), methods of information analysis (analysis of documents, reports, analytical notes). The summarizing stage focuses on the performance of tasks to generalize the information found and the students' application of calculation and analytical methods to determine the place of individual components in the total population (percentage and rank method of data evaluation). Teaching methods: research methods, mathematical and statistical methods (collection, grouping, generalization, sampling method), methods of information analysis (analysis of documents, reports, analytical notes). The predictive stage involves the execution of tasks in the Microsoft Excel spreadsheet using analysis, decision-making and forecasting tools. Teaching methods: research methods, statistical and economic methods, search for solutions, business graphics, computer modeling. [ABSTRACT FROM AUTHOR]