SYNERGETIC APPROACH AS A METHODOLOGICAL BASIS OF THE THEORY OF SELF-ORGANIZATION OF PRIMARY SCHOOL STUDENTS’ EDUCATIONAL ACTIVITY

The educational process in a modern primary school involves a change in the position of the student: from the object of study they become active subjects of educational activities, which requires the activation of their self-organization. At the same time, the essence and purpose of education is not in the scholastic increase of information, but in the information support of the constant development of an individual. This problem is especially relevant in the context of distance learning in the New Ukrainian School (NUS), so increasingly popular are learning technologies aimed at enhancing the educational and cognitive activities of students and forming their readiness for independent work. Life in modern society requires that an individual develops the qualities of autonomy and organization: independence, initiative, ability to think creatively, etc. These qualities are considered as components of a single process of self-organization of an individual. Synergetic can be interpreted as a methodological basis for educational, prognostic, organizational and didactic-managerial educational activities. We characterize synergetic as an opportunity to solve problems of education in accordance with modern challenges. Despite numerous studies, the problem of implementing a synergetic approach in the formation of skills of self-organization of educational activities of primary school students remains open. The article describes the synergetic approach as a methodological basis of the theory of self-organization of educational activities of junior schoolchildren. The research of scientists in the field of synergetic, namely the transformation of its ideas in pedagogy as a basic idea of the theory of self-organization of educational activities of primary school students, analyzes the key ideas and positions of synergetic through the prism of interpretation of the educational process. The explication of the problem is carried out in the context of the analysis of the pedagogical system of primary school. The study presents the features of the synergetic approach in the first grade school. The essence of the synergetic approach as an interdisciplinary direction of cognition is considered. It is established that the synergetic approach allows to form self-organization of educational activity. It has been studied that the educational process in primary school can also be considered an open system, as it carries out a continuous process of exchange of information (knowledge) between teacher and students (feedback), and constantly changing the content of education according to society as a whole. The content of educational and cognitive activities during the formation of skills of self-organization of primary school students from the point of view of synergetic approach is revealed. The main regularities of the process of teaching junior schoolchildren as an open and complex system and a complex of multicomponent, interdisciplinary and multilevel knowledge are outlined, providing an opportunity to identify the main areas of synergetic ideas in the educational process. It is concluded that the implementation of a synergetic approach to the management and organization of the educational process of primary school will significantly increase its efficiency, make the educational process more flexible and universal.

Forces that control self-organization of chemically-propelled Janus tori

Control of the individual and collective behavior of self-propelled synthetic micro-objects has immediate application for nanotechnology, robotics, and precision medicine. Despite significant progress in the synthesis and characterization of self-propelled Janus (two-faced) particles, predictive understanding of their behavior remains challenging, especially if the particles have anisotropic forms. Here, by using molecular simulation, we describe the interactions of chemically-propelled microtori near a wall. The results show that a torus hovers at a certain distance from the wall due to a combination of gravity and hydrodynamic flows generated by the chemical activity. Moreover, electrostatic dipolar interactions between the torus and the wall result in a spontaneous tilt and horizontal translation, in a qualitative agreement with the experiment. Simulations of the dynamics of two tori near a wall provide evidence for the formation of stable self-propelled bound states. Our results illustrate that self-organization at the microscale occurs due to a combination of multiple factors, including hydrodynamic, chemical, and electrostatic interactions.

Self-organization of collective escape in pigeon flocks

Bird flocks under predation demonstrate complex patterns of collective escape. These patterns may emerge by self-organization from local interactions among group-members. Computational models have been shown to be valuable for identifying what behavioral rules may govern such interactions among individuals during collective motion. However, our knowledge of such rules for collective escape is limited by the lack of quantitative data on bird flocks under predation in the field. In the present study, we analyze the first GPS trajectories of pigeons in airborne flocks attacked by a robotic falcon in order to build a species-specific model of collective escape. We use our model to examine a recently identified distance-dependent pattern of collective behavior: the closer the prey is to the predator, the higher the frequency with which flock members turn away from it. We first extract from the empirical data of pigeon flocks the characteristics of their shape and internal structure (bearing angle and distance to nearest neighbors). Combining these with information on their coordination from the literature, we build an agent-based model adjusted to pigeons’ collective escape. We show that the pattern of turning away from the predator with increased frequency when the predator is closer arises without prey prioritizing escape when the predator is near. Instead, it emerges through self-organization from a behavioral rule to avoid the predator independently of their distance to it. During this self-organization process, we show how flock members increase their consensus over which direction to escape and turn collectively as the predator gets closer. Our results suggest that coordination among flock members, combined with simple escape rules, reduces the cognitive costs of tracking the predator while flocking. Such escape rules that are independent of the distance to the predator can now be investigated in other species. Our study showcases the important role of computational models in the interpretation of empirical findings of collective behavior.

E-Commerce Credit Risk Assessment Based on Fuzzy Neural Network

In this paper, we propose a cooperative strategy-based self-organization mechanism to reconstruct the network. The mechanism includes a comprehensive evaluation algorithm and structure adjustment mechanism. The self-organization mechanism can be carried out simultaneously with the parameter optimization process. By calculating the similarity and independent contribution of normative neurons, the effectiveness of fuzzy rules can be jointly evaluated, and effective structural changes can be realized. Moreover, this mechanism should not set the threshold in advance in practical application. In order to optimize the parameters of SC-IR2FNN, we developed a parameter optimization mechanism based on an interaction strategy. The parameter optimization mechanism based on a joint strategy, namely multilayer optimization engine, can split SC-IR2FNN parameters into nonlinear and linear parameters for joint optimization. The nonlinear parameters are optimized by an advanced two-level algorithm, and the linear parameters are updated with the minimum biological multiplication. Two parameter optimization algorithms optimize nonlinear and linear parameters, reduce the computational complexity of SC-IR2FNN, and improve the learning rate. Using the principal component factor analysis method, seven representative common factors are selected to replace the original variables, which include the profitability factor of the financing enterprise, the solvency factor of the financing enterprise, the profitability factor of the core enterprise, the operation guarantee factor, and the growth ability of the financing enterprise. Factors, supply chain online degree factors, financing enterprise quality, and cooperation factors, can well measure the credit risk of online supply chains. The logistic model shows that the profitability factor of the financing company, the debt repayment factor of the financing company, and the profitability of the core company are three factors that have a significant impact on the credit risk of online supply chain finance. Based on the improved credit calculation model, we developed an online clue risk calculation. This method is based on site conditions and can evaluate credit risk. From the test results, the improved credit scoring system is the result of facing speculative and circular credit fraud and implies that the traders of risk commentators are in a leading position in each electronic device. The results show that risk analysis is effective in any case.

Self-Organization Among Delivery Platforms Workers in Neoliberal Latin American Countries. The Cases of Peru and Chile

Recently in Latin America, numerous mobilizations of workers against the precariousness of work in delivery platforms have been developed. In this study, we argue that consolidation into strong organizations for defending platform workers’ interests is strongly related to the socio-political and institutional contexts they are involved in. Drawn upon the understanding of solidarity among workers as a phenomenon rooted in the labor process, as well as the relevance of socio-political and institutional context for the organizing processes among precarious workers, this study addresses the cases of self-organization of platforms deliverers in Chile and Peru. Based on ethnographic research, the results show common characteristics of workers’ self-organization, which are related to similar labor processes in delivery platforms. In addition, results shed light on the relevance of the socio-political and institutional context in providing resources for the consolidation of grassroots organizations, especially after platform counter-actions.

Adaptability and Self-Organization of the Doctoral Training System

Training of highly qualified personnel for science, education and industry is an important factor in the formation of a high-tech economy. The modern system of doctoral training does not always cope with its tasks. Enhancing the efficiency of doctoral training can be associated with an increase in adaptability and self-organization. The adaptation of the pedagogical system to changing conditions should be considered in a broad sense, while its fitting to students’ features is a special manifestation of this property. It is necessary to work out two mechanisms of its adaptation – passive and active. Passive adaptation means adjusting to changing external conditions (including a new law), changing in the systems of an adjacent and higher levels. Active adaptation involves the influence on other subsystems of the university educational environment, such as master’s school, additional education (retraining and advanced training of professors), the scientific and pedagogical personnel attestation system (dissertation councils), research departments. Such adaptation can take place according to the model of expanding influence, simultaneously at two levels – personal (subject-subjective) and organizational and managerial. Self-organization is considered as one of the most important features of the system adaptability and a condition for its successful functioning.