From LMS to adaptive training systems
The use of information technology and, in particular, learning management systems, increases the ability of both the teacher and the learner to achieve their goals in the educational process. Such systems provide educational content, help organize and monitor training, collect progress statistics, a...
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2019-08-01
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| Series: | Системный анализ и прикладная информатика |
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| Online Access: | https://sapi.bntu.by/jour/article/view/267 |
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| _version_ | 1849398794081271808 |
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| author | Y. B. Popova |
| author_facet | Y. B. Popova |
| author_sort | Y. B. Popova |
| collection | DOAJ |
| description | The use of information technology and, in particular, learning management systems, increases the ability of both the teacher and the learner to achieve their goals in the educational process. Such systems provide educational content, help organize and monitor training, collect progress statistics, and can also take into account the individual characteristics of each user of the system. The purpose of this study is to determine the direction of development of modern learning systems and technologies for their implementation. The evolution of learning management systems, the transition to intelligent learning systems, the main stages of such systems were reviewed, the types of learning sequences were analyzed, the transformationinto adaptive learning systems was identified, and the scheme of the system and its mathematical model were presented. Expertise systems, the theory of fuzzy sets and fuzzy logic, cluster analysis, as well as genetic algorithms and artificial neural networks are defined as the mechanisms for implementing the learning systems. An artificial neural network in an adaptive learning system will allow you to create a unique training program that will build on existing knowledge and the level of perception of educational material by students. By formalizing the intellectual processes that both the teacher and the student carry out, it is possible to automate a certain part of the teacher’s functions, reduce the cost of manual labor, which will make it easier to monitor the learning process and also make the learning process more efficient. |
| format | Article |
| id | doaj-art-e2819476a891403da23dbcf6bfa19c8f |
| institution | Kabale University |
| issn | 2309-4923 2414-0481 |
| language | English |
| publishDate | 2019-08-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Системный анализ и прикладная информатика |
| spelling | doaj-art-e2819476a891403da23dbcf6bfa19c8f2025-08-20T03:38:30ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812019-08-0102586410.21122/2309-4923-2019-2-58-64205From LMS to adaptive training systemsY. B. Popova0Belarusian National Technical UniversityThe use of information technology and, in particular, learning management systems, increases the ability of both the teacher and the learner to achieve their goals in the educational process. Such systems provide educational content, help organize and monitor training, collect progress statistics, and can also take into account the individual characteristics of each user of the system. The purpose of this study is to determine the direction of development of modern learning systems and technologies for their implementation. The evolution of learning management systems, the transition to intelligent learning systems, the main stages of such systems were reviewed, the types of learning sequences were analyzed, the transformationinto adaptive learning systems was identified, and the scheme of the system and its mathematical model were presented. Expertise systems, the theory of fuzzy sets and fuzzy logic, cluster analysis, as well as genetic algorithms and artificial neural networks are defined as the mechanisms for implementing the learning systems. An artificial neural network in an adaptive learning system will allow you to create a unique training program that will build on existing knowledge and the level of perception of educational material by students. By formalizing the intellectual processes that both the teacher and the student carry out, it is possible to automate a certain part of the teacher’s functions, reduce the cost of manual labor, which will make it easier to monitor the learning process and also make the learning process more efficient.https://sapi.bntu.by/jour/article/view/267learning management systemlmsintelligent learning systemsadaptive learning systemsartificial neural network |
| spellingShingle | Y. B. Popova From LMS to adaptive training systems Системный анализ и прикладная информатика learning management system lms intelligent learning systems adaptive learning systems artificial neural network |
| title | From LMS to adaptive training systems |
| title_full | From LMS to adaptive training systems |
| title_fullStr | From LMS to adaptive training systems |
| title_full_unstemmed | From LMS to adaptive training systems |
| title_short | From LMS to adaptive training systems |
| title_sort | from lms to adaptive training systems |
| topic | learning management system lms intelligent learning systems adaptive learning systems artificial neural network |
| url | https://sapi.bntu.by/jour/article/view/267 |
| work_keys_str_mv | AT ybpopova fromlmstoadaptivetrainingsystems |