DIDACTIC PRACTICUM ON THE USE OF FORECASTING METHODS DURING THE STUDY OF THE DISCIPLINE "FORECASTING SOCIO-ECONOMIC PROCESSES" AS A FORM OF RESOURCE-BASED LEARNING

In the article, the authors present the developed didactic model of the practice of using forecasting methods during the study of the discipline "Forecasting socio-economic processes", which consists of three blocks: theoretical-analytical, activity-practical, summarizing-resultative. The theoretical-analytical block contains the theoretical material of the discipline "Forecasting socio-economic processes", which is presented in a convenient digitized format in the distance course environment. The content of this block includes the program, general methodical recommendations and a route map of the practicum in computer rooms. The activity-practical block provides a logical combination of various forecasting methods, which consists in their combination and use in accordance with a specific forecasting task and data characteristics. We focus on the main ways that can be used to combine methods. When studying the discipline "Forecasting socio-economic processes", the main emphasis is on practical exercises: selection of tasks, within which students perform: data analysis, building models, choosing optimal methods, justification. The summarizing-resultative block involves writing a report on each practical work and defending the results. Students should conclude that a combination of different forecasting methods allows for more accurate and reliable forecasts because they take into account different aspects of the data and the system, which helps to avoid one-sidedness and provide a comprehensive analysis of the situation.

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Publication Details

Journal
ТHE SOURCES OF PEDAGOGICAL SKILLS
Published
2024-08-20
DOI
https://doi.org/10.33989/2075-146x.2024.33.310058
Primary Topic
Engineering and Environmental Studies
Type
article
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article

DIDACTIC PRACTICUM ON THE USE OF FORECASTING METHODS DURING THE STUDY OF THE DISCIPLINE "FORECASTING SOCIO-ECONOMIC PROCESSES" AS A FORM OF RESOURCE-BASED LEARNING

Наталія Кононец, Zh. KONONENKO, Tatyana V. Yakovenko
ТHE SOURCES OF PEDAGOGICAL SKILLS
Engineering and Environmental Studies
article

DIDACTIC PRACTICUM ON THE USE OF FORECASTING METHODS DURING THE STUDY OF THE DISCIPLINE "FORECASTING SOCIO-ECONOMIC PROCESSES" AS A FORM OF RESOURCE-BASED LEARNING

Наталія Кононец, Zh. KONONENKO, Tatyana V. Yakovenko
article en

Abstract

In the article, the authors present the developed didactic model of the practice of using forecasting methods during the study of the discipline "Forecasting socio-economic processes", which consists of three blocks: theoretical-analytical, activity-practical, summarizing-resultative. The theoretical-analytical block contains the theoretical material of the discipline "Forecasting socio-economic processes", which is presented in a convenient digitized format in the distance course environment. The content of this block includes the program, general methodical recommendations and a route map of the practicum in computer rooms. The activity-practical block provides a logical combination of various forecasting methods, which consists in their combination and use in accordance with a specific forecasting task and data characteristics. We focus on the main ways that can be used to combine methods. When studying the discipline "Forecasting socio-economic processes", the main emphasis is on practical exercises: selection of tasks, within which students perform: data analysis, building models, choosing optimal methods, justification. The summarizing-resultative block involves writing a report on each practical work and defending the results. Students should conclude that a combination of different forecasting methods allows for more accurate and reliable forecasts because they take into account different aspects of the data and the system, which helps to avoid one-sidedness and provide a comprehensive analysis of the situation.

ТHE SOURCES OF PEDAGOGICAL SKILLS(33)
Openalex Percentile: Top 77%
Engineering and Environmental Studies
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