Improvement of Bachelors' Professional Mathematical Competence in the Field of Modeling for Oil and Gas industry
The study is devoted to improving the professional training of students in the field of mathematical modeling in the oil and gas industry. Deeper integration into the training of modern statistical methods and models is used to improve the educational efficiency and develop mathematical models of te...
Published in: | International Journal of Online and Biomedical Engineering (iJOE) |
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International Association of Online Engineering (IAOE)
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ftjonlinejournal:oai:ojs.pkp.sfu.ca:article/15321 2023-05-15T17:14:36+02:00 Improvement of Bachelors' Professional Mathematical Competence in the Field of Modeling for Oil and Gas industry Kozlov, Anatoly Tamer, Olga Lapteva, Svetlana 2020-09-18 application/pdf http://online-journals.org/index.php/i-joe/article/view/15321 https://doi.org/10.3991/ijoe.v16i10.15321 eng eng International Association of Online Engineering (IAOE) http://online-journals.org/index.php/i-joe/article/view/15321/7823 http://online-journals.org/index.php/i-joe/article/view/15321 doi:10.3991/ijoe.v16i10.15321 Copyright (c) 2020 Anatoly Kozlov, Olga Tamer, Svetlana Lapteva International Journal of Online and Biomedical Engineering (iJOE); Vol 16, No 10 (2020); pp. 53-67 2626-8493 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2020 ftjonlinejournal https://doi.org/10.3991/ijoe.v16i10.15321 2020-09-19T22:19:42Z The study is devoted to improving the professional training of students in the field of mathematical modeling in the oil and gas industry. Deeper integration into the training of modern statistical methods and models is used to improve the educational efficiency and develop mathematical models of technological processes of the oil and gas industry. To test the proposed models, a pedagogical experiment with 189 students aged 19 to 21 is performed. The research is based on the November Institute of Oil and Gas in the Yamalo-Nenets Autonomous District. The outcomes of training under the new program are evaluated at three levels of competency formation in accordance with the university’s assessment systems. This approach ensures a level playing field for all respondents. The relevance of improving the competence of students in the field of mathematics is proved through the increase in grades at all three levels of competency formation.The study describes in detail the system of profile differentiation of the mathematical training, which is based on a modular competency approach and compares various approaches and methods of professional competence formation among oil and gas workers. Article in Journal/Newspaper nenets Yamalo Nenets Online-Journals.org (International Association of Online Engineering) International Journal of Online and Biomedical Engineering (iJOE) 16 10 53 |
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Online-Journals.org (International Association of Online Engineering) |
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ftjonlinejournal |
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English |
description |
The study is devoted to improving the professional training of students in the field of mathematical modeling in the oil and gas industry. Deeper integration into the training of modern statistical methods and models is used to improve the educational efficiency and develop mathematical models of technological processes of the oil and gas industry. To test the proposed models, a pedagogical experiment with 189 students aged 19 to 21 is performed. The research is based on the November Institute of Oil and Gas in the Yamalo-Nenets Autonomous District. The outcomes of training under the new program are evaluated at three levels of competency formation in accordance with the university’s assessment systems. This approach ensures a level playing field for all respondents. The relevance of improving the competence of students in the field of mathematics is proved through the increase in grades at all three levels of competency formation.The study describes in detail the system of profile differentiation of the mathematical training, which is based on a modular competency approach and compares various approaches and methods of professional competence formation among oil and gas workers. |
format |
Article in Journal/Newspaper |
author |
Kozlov, Anatoly Tamer, Olga Lapteva, Svetlana |
spellingShingle |
Kozlov, Anatoly Tamer, Olga Lapteva, Svetlana Improvement of Bachelors' Professional Mathematical Competence in the Field of Modeling for Oil and Gas industry |
author_facet |
Kozlov, Anatoly Tamer, Olga Lapteva, Svetlana |
author_sort |
Kozlov, Anatoly |
title |
Improvement of Bachelors' Professional Mathematical Competence in the Field of Modeling for Oil and Gas industry |
title_short |
Improvement of Bachelors' Professional Mathematical Competence in the Field of Modeling for Oil and Gas industry |
title_full |
Improvement of Bachelors' Professional Mathematical Competence in the Field of Modeling for Oil and Gas industry |
title_fullStr |
Improvement of Bachelors' Professional Mathematical Competence in the Field of Modeling for Oil and Gas industry |
title_full_unstemmed |
Improvement of Bachelors' Professional Mathematical Competence in the Field of Modeling for Oil and Gas industry |
title_sort |
improvement of bachelors' professional mathematical competence in the field of modeling for oil and gas industry |
publisher |
International Association of Online Engineering (IAOE) |
publishDate |
2020 |
url |
http://online-journals.org/index.php/i-joe/article/view/15321 https://doi.org/10.3991/ijoe.v16i10.15321 |
genre |
nenets Yamalo Nenets |
genre_facet |
nenets Yamalo Nenets |
op_source |
International Journal of Online and Biomedical Engineering (iJOE); Vol 16, No 10 (2020); pp. 53-67 2626-8493 |
op_relation |
http://online-journals.org/index.php/i-joe/article/view/15321/7823 http://online-journals.org/index.php/i-joe/article/view/15321 doi:10.3991/ijoe.v16i10.15321 |
op_rights |
Copyright (c) 2020 Anatoly Kozlov, Olga Tamer, Svetlana Lapteva |
op_doi |
https://doi.org/10.3991/ijoe.v16i10.15321 |
container_title |
International Journal of Online and Biomedical Engineering (iJOE) |
container_volume |
16 |
container_issue |
10 |
container_start_page |
53 |
_version_ |
1766071996914860032 |