scholarly journals METHODS FOR COMPETENCE ORIENTATION OF SPECIALISTS IN EDUCATIONAL PROGRAMS OF PEDAGOGICAL DIRECTION

2020 ◽  
Vol 65 (1) ◽  
pp. 88-94
Author(s):  
S.B. Kasymov ◽  
◽  
I.H. Kober ◽  
E.А. Makarova ◽  
◽  
...  

The article deals with the issue of improving the efficiency of education in Kazakh universities in terms of the application of competence-oriented approaches and the construction of competence-oriented models of graduates. The qualification system of open education, which is the carrier of competence, is enriched and activated every time there are real life problems faced. Competence-the ability of an employee to know about their professional activities and to know it on the basis of knowledge, skills and technologies. Presented experiences and recommendations related to comprehensive to comprehensive training, exercising ability to implement creative activities based on the developed competencies, motives, personal qualities and ability to apply regulatory accepted model of behavior in the professional sphere.

2020 ◽  
Vol 100 (4) ◽  
pp. 173-177
Author(s):  
E Kostina ◽  
◽  
G Tleuzhanova ◽  
D Dzholdanova ◽  
◽  
...  

The article discusses the concept of the «acmeological competence» and its role in the context of trilingual education. The policy of trilingual education is described, the insufficient level of the English language profi-ciency among secondary school teachers is noted and the need for the development of a multilingual person-ality is revealed. The authors come to the conclusion that in order to realize this need, it is impossible to do without the acmeological competence, which stimulates the development of such personal qualities as self-realization, self-development and self-improvement. This suggests that a person should constantly develop himself in order to achieve good results in professional activities. However, the processes of self-realization, self-development and self-improvement are not particularly important tasks for all people. These processes become important when a person faces the problem of solving professional or life problems. Thus, the au-thors highlight the fact that every adult should set himself difficult tasks in order to achieve personal and pro-fessional growth. In addition to the acmeological competence, the article examines such concepts as «acmeological ability», «professionalism of activity» and «professionalism of the individual», which also play an important role in the professional formation and in the development of personality. In general, ac-cording to the authors, the development of a multilingual personality, which is a task in the trilingual educa-tion, requires a teacher to be highly motivated in the professional activity.


1970 ◽  
Author(s):  
Matisyohu Weisenberg ◽  
Carl Eisdorfer ◽  
C. Richard Fletcher ◽  
Murray Wexler

2021 ◽  
Vol 11 (11) ◽  
pp. 4757
Author(s):  
Aleksandra Bączkiewicz ◽  
Jarosław Wątróbski ◽  
Wojciech Sałabun ◽  
Joanna Kołodziejczyk

Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving a wide variety of real-life problems. The possibility of using them for forecasting phenomena occurring in nature, especially weather indicators, has been widely discussed. However, the various areas of the world differ in terms of their difficulty and ability in preparing accurate weather forecasts. Poland lies in a zone with a moderate transition climate, which is characterized by seasonality and the inflow of many types of air masses from different directions, which, combined with the compound terrain, causes climate variability and makes it difficult to accurately predict the weather. For this reason, it is necessary to adapt the model to the prediction of weather conditions and verify its effectiveness on real data. The principal aim of this study is to present the use of a regressive model based on a unidirectional multilayer neural network, also called a Multilayer Perceptron (MLP), to predict selected weather indicators for the city of Szczecin in Poland. The forecast of the model we implemented was effective in determining the daily parameters at 96% compliance with the actual measurements for the prediction of the minimum and maximum temperature for the next day and 83.27% for the prediction of atmospheric pressure.


2021 ◽  
Vol 13 (6) ◽  
pp. 3465
Author(s):  
Jordi Colomer ◽  
Dolors Cañabate ◽  
Brigita Stanikūnienė ◽  
Remigijus Bubnys

In the face of today’s global challenges, the practice and theory of contemporary education inevitably focuses on developing the competences that help individuals to find meaningfulness in their societal and professional life, to understand the impact of local actions on global processes and to enable them to solve real-life problems [...]


Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1242
Author(s):  
Ramandeep Behl ◽  
Sonia Bhalla ◽  
Eulalia Martínez ◽  
Majed Aali Alsulami

There is no doubt that the fourth-order King’s family is one of the important ones among its counterparts. However, it has two major problems: the first one is the calculation of the first-order derivative; secondly, it has a linear order of convergence in the case of multiple roots. In order to improve these complications, we suggested a new King’s family of iterative methods. The main features of our scheme are the optimal convergence order, being free from derivatives, and working for multiple roots (m≥2). In addition, we proposed a main theorem that illustrated the fourth order of convergence. It also satisfied the optimal Kung–Traub conjecture of iterative methods without memory. We compared our scheme with the latest iterative methods of the same order of convergence on several real-life problems. In accordance with the computational results, we concluded that our method showed superior behavior compared to the existing methods.


Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1456
Author(s):  
Stefka Fidanova ◽  
Krassimir Todorov Atanassov

Some of industrial and real life problems are difficult to be solved by traditional methods, because they need exponential number of calculations. As an example, we can mention decision-making problems. They can be defined as optimization problems. Ant Colony Optimization (ACO) is between the best methods, that solves combinatorial optimization problems. The method mimics behavior of the ants in the nature, when they look for a food. One of the algorithm parameters is called pheromone, and it is updated every iteration according quality of the achieved solutions. The intuitionistic fuzzy (propositional) logic was introduced as an extension of Zadeh’s fuzzy logic. In it, each proposition is estimated by two values: degree of validity and degree of non-validity. In this paper, we propose two variants of intuitionistic fuzzy pheromone updating. We apply our ideas on Multiple-Constraint Knapsack Problem (MKP) and compare achieved results with traditional ACO.


2019 ◽  
Vol 1 (1) ◽  
pp. 177-183
Author(s):  
Jan Guncaga ◽  
Lilla Korenova ◽  
Jozef Hvorecky

AbstractLearning is a complex phenomenon. Contemporary theories of education underline active participation of learners in their learning processes. One of the key arguments supporting this approach is the learner’s simultaneous and unconscious development of their ability of “learning to learn”. This ability belongs to the soft skills highly valued by employers today.For Mathematics Education, it means that teachers have to go beyond making calculations and memorizing formulas. We have to teach the subject in its social context. When the students start understanding the relationship between real-life problems and the role of numbers and formulas for their solutions, their learning becomes a part of their tacit knowledge. Below we explain the theoretical background of our approach and provide examples of such activities.


2015 ◽  
Vol 2015 ◽  
pp. 1-13
Author(s):  
Guglielmo D’Amico ◽  
Fulvio Gismondi ◽  
Jacques Janssen ◽  
Raimondo Manca

Discrete time alternating renewal process is a very simple tool that permits solving many real life problems. This paper, after the presentation of this tool, introduces the compound environment in the alternating process giving a systematization to this important tool. The claim costs for a temporary disability insurance contract are presented. The algorithm and an example of application are also provided.


2021 ◽  
Vol 29 (2) ◽  
pp. 553-565
Author(s):  
Bożena Staruch ◽  
Bogdan Staruch

AbstractThe paper is motivated by real problems concerning tasks assignment to workers in medium-sized upholstered furniture plants managed using the Demand-Driven Manufacturing. Although the methodology was developed for furniture plants it can be applied to other types of production plants. We involve competence coefficients, which describe the level of the worker’s skills or capabilities to perform a specific task. The competence coefficients are also used to block the possibility of assigning the given task to a worker that has no skills to do it. Additionally, we involve a dummy worker to the model which guarantees the existence of a solution to the problem. We present and discuss Integer Linear Programming Models for the posted problem that are closely related to the Generalized Assignment Problem. We also discuss the potential use of the presented methodology to solve real-life problems related to production management.


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