Forecasting Construction Engineering Students’ Learning Outcomes by Means of Computational Pedagogys

Introduction. The prediction of learning outcomes plays an important role in professional training of the future civil engineers. The relevance of the article lies in the lack of a unified approach to predicting the formation of basic professional competencies among students of civil engineering uni...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Juriy A. Tashkinov
Formato: article
Lenguaje:RU
Publicado: National Research Mordova State University 2020
Materias:
L
Acceso en línea:https://doaj.org/article/cdaeef417aed46d38864ae89c33b55d9
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:cdaeef417aed46d38864ae89c33b55d9
record_format dspace
spelling oai:doaj.org-article:cdaeef417aed46d38864ae89c33b55d92021-12-02T10:44:45ZForecasting Construction Engineering Students’ Learning Outcomes by Means of Computational Pedagogys10.15507/1991-9468.100.024.202003.483-5002308-10581991-9468https://doaj.org/article/cdaeef417aed46d38864ae89c33b55d92020-09-01T00:00:00Zhttp://edumag.mrsu.ru/index.php/en/articles-en/97-20-3/845-10-15507-1991-9468-100-024-202003-8https://doaj.org/toc/2308-1058https://doaj.org/toc/1991-9468Introduction. The prediction of learning outcomes plays an important role in professional training of the future civil engineers. The relevance of the article lies in the lack of a unified approach to predicting the formation of basic professional competencies among students of civil engineering universities. The purpose of the article is to describe the creation of a technology for predicting the formation of professional competencies of future civil engineers using modern computer technologies. Materials and Methods. The study was carried out on the basis of the results of the analysis of publications on the creation of social and pedagogical forecasts by computer methods, followed by the construction of “competence-based profiles”. To study the problem, empirical information from the results of passed examinations, tests performed by students of the academic programme 03/08/01 “Construction engineering” (102 students) was analysed. The data were presented in a 3D OLAP cube format. Results. As a result of the research, the author has created a step-by-step technology for quantitative forecasting of the formation of general professional, professional and universal competencies of future civil engineers, in accordance with the educational standard. A competence-based profile of a student enrolled with the construction engineering university has been built. Donbass National Academy of Civil Engineering and Architecture served as experimental facility. The analytical tool “Competence calculator of a future civil engineer” was developed. The optimal time for forecast development was revealed: making a forecast at the early stages of training while maintaining suf ficient accuracy. Discussion and Conclusion. The results of the study open a new theoretical direction in the study of the influence of various factors on the results of pedagogical forecasting: identifying the dynamics of achieving each of the educational results in each of the academic semesters; study of factors and indicators of the forecast background.Juriy A. TashkinovNational Research Mordova State Universityarticleeducational analyticspedagogical forecastingfuture civil engineereducational resultcomputer pedagogycompetence approachpedagogical diagnosticsdigital humanitiesEducationLRUИнтеграция образования, Vol 24, Iss 3, Pp 483-500 (2020)
institution DOAJ
collection DOAJ
language RU
topic educational analytics
pedagogical forecasting
future civil engineer
educational result
computer pedagogy
competence approach
pedagogical diagnostics
digital humanities
Education
L
spellingShingle educational analytics
pedagogical forecasting
future civil engineer
educational result
computer pedagogy
competence approach
pedagogical diagnostics
digital humanities
Education
L
Juriy A. Tashkinov
Forecasting Construction Engineering Students’ Learning Outcomes by Means of Computational Pedagogys
description Introduction. The prediction of learning outcomes plays an important role in professional training of the future civil engineers. The relevance of the article lies in the lack of a unified approach to predicting the formation of basic professional competencies among students of civil engineering universities. The purpose of the article is to describe the creation of a technology for predicting the formation of professional competencies of future civil engineers using modern computer technologies. Materials and Methods. The study was carried out on the basis of the results of the analysis of publications on the creation of social and pedagogical forecasts by computer methods, followed by the construction of “competence-based profiles”. To study the problem, empirical information from the results of passed examinations, tests performed by students of the academic programme 03/08/01 “Construction engineering” (102 students) was analysed. The data were presented in a 3D OLAP cube format. Results. As a result of the research, the author has created a step-by-step technology for quantitative forecasting of the formation of general professional, professional and universal competencies of future civil engineers, in accordance with the educational standard. A competence-based profile of a student enrolled with the construction engineering university has been built. Donbass National Academy of Civil Engineering and Architecture served as experimental facility. The analytical tool “Competence calculator of a future civil engineer” was developed. The optimal time for forecast development was revealed: making a forecast at the early stages of training while maintaining suf ficient accuracy. Discussion and Conclusion. The results of the study open a new theoretical direction in the study of the influence of various factors on the results of pedagogical forecasting: identifying the dynamics of achieving each of the educational results in each of the academic semesters; study of factors and indicators of the forecast background.
format article
author Juriy A. Tashkinov
author_facet Juriy A. Tashkinov
author_sort Juriy A. Tashkinov
title Forecasting Construction Engineering Students’ Learning Outcomes by Means of Computational Pedagogys
title_short Forecasting Construction Engineering Students’ Learning Outcomes by Means of Computational Pedagogys
title_full Forecasting Construction Engineering Students’ Learning Outcomes by Means of Computational Pedagogys
title_fullStr Forecasting Construction Engineering Students’ Learning Outcomes by Means of Computational Pedagogys
title_full_unstemmed Forecasting Construction Engineering Students’ Learning Outcomes by Means of Computational Pedagogys
title_sort forecasting construction engineering students’ learning outcomes by means of computational pedagogys
publisher National Research Mordova State University
publishDate 2020
url https://doaj.org/article/cdaeef417aed46d38864ae89c33b55d9
work_keys_str_mv AT juriyatashkinov forecastingconstructionengineeringstudentslearningoutcomesbymeansofcomputationalpedagogys
_version_ 1718396790800121856