FORECASTING THE CHANGE IN THE TEACHER'S CONTRIBUTION TO THE WORK OF THE DEPARTMENT USING THE METHODS OF DATA MINING
The existing forms and methods of assessing the work of teachers of higher educational institutions are described. The conclusion is made that the combination of indicators into groups (categories) and the introduction of different weight factors depends on the specifics of the institution and the p...
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| Format: | Article |
| Language: | English |
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Institute for Digitalisation of Education of the NAES of Ukraine
2018-02-01
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| Series: | Інформаційні технології і засоби навчання |
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| Online Access: | https://journal.iitta.gov.ua/index.php/itlt/article/view/1949 |
| _version_ | 1797717549309231104 |
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| author | Oleksandr Yu. Melnykov |
| author_facet | Oleksandr Yu. Melnykov |
| author_sort | Oleksandr Yu. Melnykov |
| collection | DOAJ |
| description | The existing forms and methods of assessing the work of teachers of higher educational institutions are described. The conclusion is made that the combination of indicators into groups (categories) and the introduction of different weight factors depends on the specifics of the institution and the prevailing ideas about the priority of this or that type of activity. Practically all the considered methods do not take into account the change in the contribution share of each teacher in the integral indicator of the work of the whole department (department, faculty). The goal was to predict the change in the contribution of an individual teacher to the indicators of a higher education institution by means of mathematical modeling and intellectual decision-making. The prediction task is identified as a suitable data mining task. Methods for forecasting the assessment of the work of teachers - regression and neural network - were chosen. An object-oriented model of a projected computer system in the language of visual modeling of UML is described. Diagrams of use cases, classes and states are given. The program implementation of the intellectual decision-making system for evaluating the work of teachers of a higher education institution and an example of the system's operation based on real data are described. Conclusions are made about a possible change in the contribution share of each teacher in the indicators of the department. |
| first_indexed | 2024-03-12T08:37:58Z |
| format | Article |
| id | doaj.art-96164a52da244ac7a23d7340f7c48173 |
| institution | Directory Open Access Journal |
| issn | 2076-8184 |
| language | English |
| last_indexed | 2024-03-12T08:37:58Z |
| publishDate | 2018-02-01 |
| publisher | Institute for Digitalisation of Education of the NAES of Ukraine |
| record_format | Article |
| series | Інформаційні технології і засоби навчання |
| spelling | doaj.art-96164a52da244ac7a23d7340f7c481732023-09-02T17:05:18ZengInstitute for Digitalisation of Education of the NAES of UkraineІнформаційні технології і засоби навчання2076-81842018-02-016312662871092FORECASTING THE CHANGE IN THE TEACHER'S CONTRIBUTION TO THE WORK OF THE DEPARTMENT USING THE METHODS OF DATA MININGOleksandr Yu. Melnykov0Донбасская государственная машиностроительная академия, КраматорскThe existing forms and methods of assessing the work of teachers of higher educational institutions are described. The conclusion is made that the combination of indicators into groups (categories) and the introduction of different weight factors depends on the specifics of the institution and the prevailing ideas about the priority of this or that type of activity. Practically all the considered methods do not take into account the change in the contribution share of each teacher in the integral indicator of the work of the whole department (department, faculty). The goal was to predict the change in the contribution of an individual teacher to the indicators of a higher education institution by means of mathematical modeling and intellectual decision-making. The prediction task is identified as a suitable data mining task. Methods for forecasting the assessment of the work of teachers - regression and neural network - were chosen. An object-oriented model of a projected computer system in the language of visual modeling of UML is described. Diagrams of use cases, classes and states are given. The program implementation of the intellectual decision-making system for evaluating the work of teachers of a higher education institution and an example of the system's operation based on real data are described. Conclusions are made about a possible change in the contribution share of each teacher in the indicators of the department.https://journal.iitta.gov.ua/index.php/itlt/article/view/1949оценка работы преподавателейинтеллектуальный анализ данныхпрогнозированиерегрессиянейронные сетиперсептронинформационная системаUnified Modeling LanguageObject-Pascal |
| spellingShingle | Oleksandr Yu. Melnykov FORECASTING THE CHANGE IN THE TEACHER'S CONTRIBUTION TO THE WORK OF THE DEPARTMENT USING THE METHODS OF DATA MINING Інформаційні технології і засоби навчання оценка работы преподавателей интеллектуальный анализ данных прогнозирование регрессия нейронные сети персептрон информационная система Unified Modeling Language Object-Pascal |
| title | FORECASTING THE CHANGE IN THE TEACHER'S CONTRIBUTION TO THE WORK OF THE DEPARTMENT USING THE METHODS OF DATA MINING |
| title_full | FORECASTING THE CHANGE IN THE TEACHER'S CONTRIBUTION TO THE WORK OF THE DEPARTMENT USING THE METHODS OF DATA MINING |
| title_fullStr | FORECASTING THE CHANGE IN THE TEACHER'S CONTRIBUTION TO THE WORK OF THE DEPARTMENT USING THE METHODS OF DATA MINING |
| title_full_unstemmed | FORECASTING THE CHANGE IN THE TEACHER'S CONTRIBUTION TO THE WORK OF THE DEPARTMENT USING THE METHODS OF DATA MINING |
| title_short | FORECASTING THE CHANGE IN THE TEACHER'S CONTRIBUTION TO THE WORK OF THE DEPARTMENT USING THE METHODS OF DATA MINING |
| title_sort | forecasting the change in the teacher s contribution to the work of the department using the methods of data mining |
| topic | оценка работы преподавателей интеллектуальный анализ данных прогнозирование регрессия нейронные сети персептрон информационная система Unified Modeling Language Object-Pascal |
| url | https://journal.iitta.gov.ua/index.php/itlt/article/view/1949 |
| work_keys_str_mv | AT oleksandryumelnykov forecastingthechangeintheteacherscontributiontotheworkofthedepartmentusingthemethodsofdatamining |