The Approbation of a Mathematical Model of the Influence of Three-Level Semantic Representation of an Educational Mes-sage on the Dynamics of Students' Creativity

Гафарова, Е А; Belevitin, V. A.; Korchemkina, Yuliya; Smyrnov, Yevgen; Хасанова, Марина Леонидовна

doi:10.14419/ijet.v7i4.38.24347

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…It is advisable to carry out a rational selection of effective CMMs to determine the need and sufficiency of organizational and pedagogical conditions through an expert assessment of the CMMs content in the disciplines of professional modules, identifying the most significant thematic blocks for the formation of specific key skills in the field of environmental and economic activities. It should be noted that the selection of the experts themselves for such a procedure should be carried out in accordance with the observance of special requirements and algorithms, since the formal characteristics of candidates for experts, such as specialty, academic degree, work experience, etc., do not always allow selecting a truly professional focus group, this requires standardized procedures for selecting experts [17][18][19][20]. In turn, to assess the contribution of a particular organizational and pedagogical condition to the final competence of a graduate of an educational organization, it is possible to use CMMs based on machine learning algorithms [21].…”

Section: Methodsmentioning

confidence: 99%

Machine Learning Methods and Qualimetric Approach to Determine the Conditions for Train Students in the Field of Environmental and Economic Activities

Саламатов

Гафарова

Belevitin

et al. 2021

Int. J. Emerg. Technol. Learn.

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The relevance of environmental and economic activity requires professional training of specialists and, accordingly, new organizational and pedagogical conditions for effective education. It is also necessary to develop control and measuring materials that would have all the qualities (validity, reliability, consistency, significance and objectivity) to obtain the most reliable results in justifying the need and sufficiency of the identified conditions. The intensification of information processes in vocational education leads researchers to the need to find optimal conditions and tools to achieve pedagogical goals. Among these tools are machine learning methods and mathematical models built on their basis for quantitative assessment of the quality of vocational training in the field of environmental and economic activities. The use of the qualimetric approach in pedagogy is possible in the presence of a certain array of observational data for one or another criterion related to learning conditions, personal qualities of students, etc. The construction of an algorithmic model allows one to operate with conditions in mental experiments, test hypotheses, and since pedagogical research is quite long in time, the choice of conditions based on the most favorable forecast built using the model allows one to optimize pedagogical resources to achieve the planned results. Rational selection of effective control and measuring materials (CMMs) allows one to determine the need and sufficiency of organizational and pedagogical conditions. While mathematical modeling allows one to quickly adjust the organizational and pedagogical conditions as a set of opportunities for content, forms, teaching methods, information and communication technologies (ICTs) and CMMs used to achieve the planned educational results in the sphere of environmental and economic activity. Interpretation of the derived features in the context of the pedagogical research performed with a cross-validation accuracy of 72% made it possible to reveal the dominant significance of intersubjective connections between the disciplines studied by the sample of students in the bachelor's and master's programs. Namely, programs 44.03.04 and 44.04.04 "Professional training (by industry)", which are the most significant in terms of the formation of competence in the field of environmental and economic activities. The designed mathematical model of the Gradient Boosting Classifier allows making predictive expectations of the studied competency types and testing hypotheses for the inclusion or exclusion of certain significant organizational and pedagogical conditions for the effective implementation of the educational process. A necessary and sufficient organizational and pedagogical condition for the effective formation of competence in the field of environmental and economic activity is to ensure continuity between significant disciplines and the actualization of interdisciplinary relationships based on the development of interdisciplinary courses.

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Section: Methodsmentioning

confidence: 99%

Machine Learning Methods and Qualimetric Approach to Determine the Conditions for Train Students in the Field of Environmental and Economic Activities

Саламатов

Гафарова

Belevitin

et al. 2021

Int. J. Emerg. Technol. Learn.

Self Cite

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“…The socio-economic transformations taking place today as a result of the transition to market relations, and the urgent need to mitigate the negative consequences of our country's stay under the conditions of the application of Western sanctions, necessitating the urgent need for high-tech technical and technological solutions, a number of priorities objectively put forward the problem of high-quality training of professional personnel with a higher GOEO in ICT, an increased level of their human capital [9][10][11][12]23]. An analysis of the preparation of the GOEO is convincing evidence of a "chronic" lag behind the necessary needs of the modern post-information society [25], the requirements of the sixth level of the National Qualifications Framework of the Russian Federation [26].…”

Section: Methodsmentioning

confidence: 99%

“…The current situation of digitalization of the economy actualizes the problem of developing innovative principles of educational training of specialists in vocational education. A methodically competent assessment of the GOEO in the field of ICT and the level of their human capital [8][9][10][11][12] is the key to an effective response to the requests of society, employers and students themselves, who need to know the criteria for assessing their readiness for the profession as a whole, and for the qualitatively efficient performance of their work in conditions specific workplace, ability to quickly respond to changes in different areas of public life. The problem is conditioned by the objective need to develop innovative pedagogical tools for an objective quantitative assessment of the GOEO, as a set of interconnected tools (methods, techniques, techniques, and tools) of the pedagogical interaction of subjects and objects of the educational process [13][14].…”

Section: Formulation Of the Problemmentioning

confidence: 99%

The qualimetric aspect of digitalization in the formation of professional competencies of university graduates

Belevitin¹,

Giss²,

Rudnev³

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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The digitalization of the economy, state, and municipal management, as well as all spheres of society, poses new global challenges for the education system. In the new context of the relationship between business, the state and citizens, there is a demand for specialists who not only possess theoretical knowledge, but also big data processing methods, the basics of business analytics, the ability to systematically improve their competencies and develop new software products. It is possible to ensure the training of such specialists only through innovative changes in the educational paradigm when "analog" education is increasingly pressured by digital education. The authors analyzed the system of the qualimetric approach (SEC) in terms of mathematical modeling and mathematical statistics of a phased assessment of the results of quantitative measurements of pedagogical studies of the degree of formation of professional competencies (SSPK) of university graduates using new information and communication technologies (ICT). The program implementation of the described SEC algorithm will allow when it is implemented for various disciplines and training directions, to eliminate the subjective approach and minimize economic and didactic risks.

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“…The modern situation of green economy digitalization actualizes the problem of developing innovative principles of professional training of specialists in higher education institutions. Methodologically competent assessment of the level of PEEC of university graduates as a component of their human capital [7][8][9] is the key to an effective response to the needs of society, employers and students themselves, who need to know the criteria to assess their readiness for the profession in general, qualitative effective performance of their work in a particular workplace, ability to respond quickly to changes in different spheres of social life. The adequate approach to such an effective response is largely due to the objective need to develop innovative pedagogical tools as a set of interrelated tools (methods, techniques, methods, means) of pedagogical interaction between the subjects and objects of the educational process.…”

Section: Formulation Of the Problemmentioning

confidence: 99%

Qualimetric Assessment of Pedagogical Factors in the Formation of Professional Environmental and Economic Competence of University Graduates

et al. 2021

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The current situation of green economy digitalization actualizes the problem of developing innovative principles of professional training in universities. The key conditions for the training of highly qualified personnel in accordance with the needs of society and employers as participants of educational relations are of particular importance due to the qualimetric assessment of educational achievements of students (QAA), which has been actualized since 2000 by conceptual research within the framework of the Programme for International Student Assessment (PISA). The material for the study was modern approaches, algorithms and models of QAA in higher education institutions. The main methods of research were theoretical analysis of published scientific literature on the problem of digital assessment of the level of professional competence of university graduates in the field of green economy-sustainable development, primarily, their professional environmental and economic competence (PEEC) based on a ranking analysis of expert information on the impact of different factors. At the same time, the problems which are the result of multifactor dependencies typical for pedagogy are put into the structured category and the apparatus of mathematical modelling and selection of optimal solutions is scientifically grounded to solve them. The most significant pedagogical factors were selected according to their influence on the level of PEEC formation as a result of using the method of expert group evaluation and ranking the selected opinions of experts, the consistency of which was previously revealed by calculating the Kendall's concordance coefficient. The principles of the systematic approach applied in the pedagogical research, using the conceptual provisions of quantitative measurements, numerical modelling and mathematical statistics based on factor planning allowed us to present the results of the experiment to identify the final dependence of the level of PEEC formation as a regression model as the initial step in the developed platform (underlying concept) of qualimetric assessment of the dominant factors of PEEC formation. The initial principles of such a concept are formulated, providing opportunities for studying and analyzing the influence of various pedagogical factors and organizational and pedagogical conditions, choosing the ways of generating educational trajectories.

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The Approbation of a Mathematical Model of the Influence of Three-Level Semantic Representation of an Educational Mes-sage on the Dynamics of Students' Creativity

Cited by 8 publications

References 5 publications

Machine Learning Methods and Qualimetric Approach to Determine the Conditions for Train Students in the Field of Environmental and Economic Activities

Machine Learning Methods and Qualimetric Approach to Determine the Conditions for Train Students in the Field of Environmental and Economic Activities

The qualimetric aspect of digitalization in the formation of professional competencies of university graduates

Qualimetric Assessment of Pedagogical Factors in the Formation of Professional Environmental and Economic Competence of University Graduates

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