scholarly journals Analogy as a means of theoretical adoption of pedagogical disciplines

2006 ◽  
Vol 38 (2) ◽  
pp. 356-370
Author(s):  
Irina Solovcova
Keyword(s):  
Theoretical Approach ◽  
Teaching Method ◽  
Pedagogical Knowledge ◽  
Student Interaction ◽  
Analogy Method ◽  
Initial Teacher Training ◽  
Research Activities ◽  
Three Stages ◽  
Positive Effect

The paper considers an application of analogy in the initial-teacher training as a tool of approaching pedagogical disciplines. The author proposes a classification of pedagogical analogies which provides choices of the most efficient model for a specific didactic situation. The article clarifies the model of the theoretical approach to pedagogical disciplines through active use of analogy, which contributes to a higher efficiency in a teacher and student interaction. The model consists of three stages: training (the stage of acquiring analogy model), the analytical stage (acquisition of pedagogical concepts, phenomena and systems through the application of analogy), and the stage of self-realization (the application of analogy method in students? scientific-research activities) considering external and internal didactic conditions which transform analogy from a teaching method into a tool for the acquisition of pedagogical disciplines. The author demonstrates that the application of analogy has a positive effect not only on the acquisition of pedagogical knowledge (especially methodic) and the development of heuristic skills in students, but also on motivation for the study of pedagogical disciplines (cognitive aspect) and professional pedagogical activity (formation of an individual-pedagogical attitude). .

Business process model patterns: state-of-the-art, research classification and taxonomy

2019 ◽  
Vol 25 (5) ◽  
pp. 972-994 ◽  
Author(s):  
Michael Fellmann ◽  
Agnes Koschmider ◽  
Ralf Laue ◽  
Andreas Schoknecht ◽  
Arthur Vetter
Keyword(s):  
Business Process ◽  
Process Model ◽  
Pattern Language ◽  
Future Research ◽  
Business Process Model ◽  
Content Type ◽  
Research Activities ◽  
Starting Point ◽  
Research Classification

Purpose Patterns have proven to be useful for documenting general reusable solutions to a commonly occurring problem. In recent years, several different business process management (BPM)-related patterns have been published. Despite the large number of publications on this subject, there is no work that provides a comprehensive overview and categorization of the published business process model patterns. The purpose of this paper is to close this gap by providing a taxonomy of patterns as well as a classification of 89 research works. Design/methodology/approach The authors analyzed 280 research articles following a structured iterative procedure inspired by the method for taxonomy development from Nickerson et al. (2013). Using deductive and inductive reasoning processes embedded in concurrent as well as joint research activities, the authors created a taxonomy of patterns as well as a classification of 89 research works. Findings In general, the findings extend the current understanding of BPM patterns. The authors identify pattern categories that are highly populated with research works as well as categories that have received far less attention such as risk and security, the ecological perspective and process architecture. Further, the analysis shows that there is not yet an overarching pattern language for business process model patterns. The insights can be used as starting point for developing such a pattern language. Originality/value Up to now, no comprehensive pattern taxonomy and research classification exists. The taxonomy and classification are useful for searching pattern works which is also supported by an accompanying website complementing the work. In regard to future research and publications on patterns, the authors derive recommendations regarding the content and structure of pattern publications.

scholarly journals Decision Tree: A Machine Learning for Intrusion Detection

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1126-1130
Keyword(s):  
Machine Learning ◽  
Intrusion Detection ◽  
Detection System ◽  
Research Work ◽  
Machine Learning Techniques ◽  
Data Sets ◽  
Legitimate User ◽  
Learning Techniques ◽  
Three Stages

The Intrusion is a major threat to unauthorized data or legal network using the legitimate user identity or any of the back doors and vulnerabilities in the network. IDS mechanisms are developed to detect the intrusions at various levels. The objective of the research work is to improve the Intrusion Detection System performance by applying machine learning techniques based on decision trees for detection and classification of attacks. The methodology adapted will process the datasets in three stages. The experimentation is conducted on KDDCUP99 data sets based on number of features. The Bayesian three modes are analyzed for different sized data sets based upon total number of attacks. The time consumed by the classifier to build the model is analyzed and the accuracy is done.

scholarly journals Analysis and classification of tem¬perature measurements during melting and casting of alloys using neural networks

2020 ◽  
Vol 63 (10) ◽  
pp. 856-861
Author(s):  
A. V. Fedosov ◽  
G. V. Chumachenko
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Human Factor ◽  
High Efficiency ◽  
Thermal Conditions ◽  
Second Stage ◽  
Three Stages ◽  
Fully Automatic ◽  
Artificial Neural

The article considers the issues of monitoring the thermal conditions of alloys melting and casting at foundries. It is noted that the least reliable method is when the measurement and fixing the temperature is assigned to the worker. On the other hand, a fully automatic approach is not always available for small foundries. In this regard, the expediency of using an automated approach is shown, in which the measurement is assigned to the worker, and the values are recorded automatically. This method assumes implementation of an algorithm for automatic classification of temperature measurements based on an end-to-end array of data obtained in the production stream. The solving of this task is divided into three stages. Preparing of raw data for classification process is provided on the first stage. On the second stage, the task of measurement classification is solved by using neural network principles. Analysis of the results of the artificial neural network has shown its high efficiency and degree of their correspondence with the actual situation on the work site. It was also noted that the application of artificial neural networks principles makes the classification process flexible, due to the ability to easily supplement the process with new parameters and neurons. The final stage is analysis of the obtained results. Correctly performed data classification provides an opportunity not only to assess compliance with technological discipline at the site, but also to improve the process of identifying the causes of casting defects. Application of the proposed approach allows us to reduce the influence of human factor in the analysis of thermal conditions of alloys melting and casting with minimal costs for melting monitoring.

Classification of Occupational Safety Costs in terms of Medical Examinations in the Republic of Kazakhstan

2021 ◽  
pp. 37-42
Author(s):  
G.T. Aitkenova ◽  
Keyword(s):  
Positive Result ◽  
Empirical Data ◽  
Occupational Safety ◽  
Cost Management ◽  
Correct Classification ◽  
The Republic ◽  
The Cost ◽  
Medical Examinations ◽  
Positive Effect

The results of the study of the classification of occupational safety costs, in particular the classification of costs for medical examinations, according to the current requirements of the regulatory legal acts and documents of the Republic of Kazakhstan are presented. The Labor Code of the Republic of Kazakhstan does not regulate the cost of financing occupational safety costs in the organizations. In addition, there are no state-approved methodology for planning and occupational safety budgeting costs. International research in the field of occupational safety confirms the positive effect of the investments in occupational safety on the competitiveness, productivity, and sustainability of the enterprise at the market. At the same time, the methodologically sound organization of planning and financing of occupational safety costs depends on their correct classification, which further contributes to the construction of a rational budgetary system of the enterprise in the field of occupational safety. The need for cost classification is due to the fact, that the existing occupational safety activities have different signs and types of costs. In the process of the study the empirical data is used, for example, codes, laws, and other regulatory legal acts of the Republic of Kazakhstan, as well as the scientific research from near and far abroad. The paper offers three signs of the classification of occupational safety costs. In accordance with the proposed signs of cost classification, the types of medical examinations that employers are legally required to conduct for their employees are distributed. Thus, the classification of occupational safety costs, which is aimed at the cost management, should consider all the main options for solving managerial tasks of the enterprise in the field of occupational safety, and should be applicable in practice. At the same time, the classification of costs with varying degrees of detail contributes to the sound planning and financing of the costs for employee occupational safety, which will lead to a positive result from the investment.

Crow-ENN

2020 ◽  
pp. 173-213
Author(s):  
Rehan Ullah ◽  
Abdullah Khan ◽  
Syed Bakhtawar Shah Abid ◽  
Siyab Khan ◽  
Said Khalid Shah ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Search Algorithm ◽  
Heuristic Model ◽  
Classification Problems ◽  
Elman Neural Network ◽  
Main Research ◽  
Research Activities ◽  
Proposed Model ◽  
Simulation Results

DNA sequence classification is one of the main research activities in bioinformatics on which, many researchers have worked and are working on it. In bioinformatics, machine learning can be applied for the analysis of genomic sequences like the classification of DNA sequences, comparison of DNA sequences. This article proposes a new hybrid meta-heuristic model called Crow-ENN for leukemia DNA sequences classification. The proposed algorithm is the combination of the Crow Search Algorithm (CSA) and the Elman Neural Network (ENN). DNA sequences of Leukemia are used to train and test the proposed hybrid model. Five other comparable models i.e. Crow-ANN, Crow-BPNN, ANN, BPNN and ENN are also trained and tested on these DNA sequences. The performance of models is evaluated in terms of accuracy and MSE. The overall simulation results show that the proposed model has outperformed all the other five comparable models by attaining the highest accuracy of over 99%. This model may also be used for other classification problems in different fields because it can achieve promising results.

scholarly journals Problems of improving the quality of education

2020 ◽  
Vol 159 ◽  
pp. 09002
Author(s):  
Bakhyt Baitanayeva ◽  
Zhanara Aubakirova ◽  
Aida Aitbembetova ◽  
Aida Sansyzbayeva
Keyword(s):  
Quality Management System ◽  
Teaching Method ◽  
International Experience ◽  
Educational Process ◽  
Quality Of Education ◽  
Training Methods ◽  
Research Activities ◽  
Business Structures ◽  
Quality In Higher Education

The article deals with actual problems of improving the quality in higher education school, taking into account the world experience. First of all, attention is paid to the concept of the quality of education, interpretations of various scientists and specialists are given. It is noted that the quality of education in first of all, it depends on the competence and experience of the teacher and the modern technologies used teaching method. The article, based on international experience, concludes about the effectiveness of group learning methods. The article draws a conclusion about the effectiveness of group training methods based on international experience. Special attention is paid to the need to comply with the principles TQM and ISO series quality standards in the educational process. The need to implement a quality management system (QMS) in all universities of the country is emphasized. The article proposes to select students according to their abilities and inclinations to scientific -research activities or work in business structures. The educational process in universities should be aimed at the integration of science, education, industry (business). The article provides examples of successful activities of this chain.

scholarly journals The Design Process at Le Corbusier, Case of the Ronchamp Chapel

2019 ◽  
Vol 1 (1) ◽  
pp. 1275-1282
Author(s):  
Nadjat Outmoune ◽  
Abdelmalek Arrouf
Keyword(s):  
Empirical Studies ◽  
Data Gathering ◽  
Le Corbusier ◽  
Generic Model ◽  
Design Activity ◽  
Genetic Method ◽  
Second Stage ◽  
Three Stages ◽  
Last Stage

AbstractThis work falls within the empirical studies of design activity. Its project is to understand Le Corbusier's designing way and how does he work and structure his design processes. Doing so, it jumps above the descriptive and doctrinal knowledge of objects produced by “Le Corbusier” to study the actions and mechanisms that led to them.To achieve its aim, this study uses genetic method, developed by P.M. De Biasi of literary origin, this research method is made of three stages. The first one, which is of empirical nature, is one of data gathering. It leads to the establishment of genesis tables and to the classification of the all collected documents. The second stage, makes the analysis of all the collected documents one by one. It allows the restitution of the creative process of one projects “Le Corbusier” which is “la chapelle de Notre Dame du haut de Ronchamp”. The last stage is finally that define the design processe of the this project. The results show that the design activity of “Le Corbuiser” obeys the overall logic of one generic model which may be called his individual designing style.

We Are Able, We Intend, We Act—But We Do Not Succeed: A Theoretical Framework for a Better Understanding of Paradoxical Performance in Sports

2014 ◽  
Vol 8 (4) ◽  
pp. 357-377 ◽  
Author(s):  
Babett H. Lobinger ◽  
Martin K. Klämpfl ◽  
Eckart Altenmüller
Keyword(s):  
Movement Disorders ◽  
Theoretical Approach ◽  
Theoretical Framework ◽  
Diagnostic Methods ◽  
Superior Performance ◽  
Movement Characteristics ◽  
Methodological Approaches ◽  
Sudden Decrease

Paradoxical performance can be described simply as a sudden decrease in a top athlete’s performance despite the athlete’s having striven for superior performance, such as the lost-skill syndrome in trampolining or “the yips” in golf. There is a growing amount of research on these phenomena, which resemble movement disorders. What appears to be missing, however, is a clear phenomenology of the affected movement characteristics leading to a classification of the underlying cause. This understanding may enable specific diagnostic methods and appropriate interventions. We first review the different phenomena, providing an overview of their characteristics and their occurrence in sports and describing the affected sports and movements. We then analyze explanations for the yips, the most prominent phenomenon, and review the methodological approaches for diagnosing and treating it. Finally, we present and elaborate an action theoretical approach for diagnosing paradoxical performance and applying appropriate interventions.

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