درخت حوزه‌های تخصصی

Purpose : The purpose of this study was to identify the factors affecting educational policy-making based on the third millennium characteristics. Methodology : This study was applied in terms of purpose and qualitative in terms of implementation of the data foundation type. The research population was the documents in 2009 to 20019 and educational policy-making experts in 2019, among which 15 were chosen according to the original saturation principle with purposive sampling method. The research tool was a semi-structured interview, whose validity was confirmed by experts and evaluated with proper triangulation method and its reliability was obtained by an internal agreement method of 0.83. For data analysis, content analysis method was used in MAXQDA12 software. Finding : The findings showed that the factors affecting educational policy-making had 9 dimensions, 39 components and 209 indicators, including educational stakeholders, psychological factors, economic factors, technological factors, legal factors, social factors, cultural factors, belief and ideal factors, and political factors. Also, the third millennium education has 6 dimensions, 33 components and 74 indicators, including the characteristics of philosophy and training goals, characteristics of curriculum, educational system characteristics, environmental characteristics and educational space, characteristics of teachers and characteristics of principals and policymakers. In general, for factors affecting educational policy-making based on the third millennium was identified with 15 dimensions, 72 components and 283 indicators. Conclusion : Considering the factors affecting educational policy-making based on the third millennium characteristics, the dimensions and components identified in the present era can be promoted.

The article considers a method for solving an information asymmetry problem that is relevant for the banking sector. The authors compare bank products and services in which tariff packages are consist of different informational components. The principal feature of the proposed method is to focus on obtaining a subjective evaluation of the attractiveness of the Bank’s offers for specific target groups. This makes the proposed method relevant for Central and commercial banks, as well as for consumers of banking products. Since complex tariff packages of different banks contain not only many indicators but also different sets, it is impossible to directly compare them. The proposed method allows solving the main informational problems of traditional methods for comparing banking products. Using the Fuzzy Inference System (FIS) allows a flexible approach to the aggregation of singular indicators of tariff packages and simplifies the expert procedures. To make rules for fuzzy inference, linguistic constructions close to the natural language can be used. This makes it easier to fill the knowledge base. To solve the set tasks, a methodology for constructing hierarchical FIS is used. In comparison with non-hierarchical FIS it can reduce the requirements to the number of rules in fuzzy inference rule base and system implementation time. The experiments with the fuzzy inference system, which implements a corporate credit cards tariff packages comparison of four Ukrainian banks, showed the effectiveness of the proposed approach. The obtained numerical results are adequately interpreted for the highlighted groups of banking product consumers