Modelling algorithms for learner interaction with training courses
This paper considers learning as a process of mastering a knowledge domain, investigating the interaction of learners with courses of study and the influence of learner actions on the state of mastery of the knowledge space in order to define a learning control function and to model algorithms for c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/38/e3sconf_greenenergy2024_03013.pdf |
| _version_ | 1797213192621916160 |
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| author | Gorovik Alexander Lazareva Marina Khasanova Makhinur Yuldosheva Dilfuza |
| author_facet | Gorovik Alexander Lazareva Marina Khasanova Makhinur Yuldosheva Dilfuza |
| author_sort | Gorovik Alexander |
| collection | DOAJ |
| description | This paper considers learning as a process of mastering a knowledge domain, investigating the interaction of learners with courses of study and the influence of learner actions on the state of mastery of the knowledge space in order to define a learning control function and to model algorithms for constructing the knowledge space. Key aspects of the interaction process, variables that can be changed to customise the learning model, are given. A threshold to mastery of a course element is formulated and a scale of mastery level for a particular knowledge element is described. As a result, algorithms for forming, expanding and segmenting the knowledge space were created. The research presented the concept of learning as a guided wave process of knowledge mastery, where the learner's actions correspond to the structure of the knowledge space and are determined by its properties. |
| first_indexed | 2024-04-24T10:54:22Z |
| format | Article |
| id | doaj.art-8fdbf0318b5a423fa6a9eb029817bb34 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-24T10:54:22Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-8fdbf0318b5a423fa6a9eb029817bb342024-04-12T07:40:18ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015080301310.1051/e3sconf/202450803013e3sconf_greenenergy2024_03013Modelling algorithms for learner interaction with training coursesGorovik Alexander0Lazareva Marina1Khasanova Makhinur2Yuldosheva Dilfuza3Fergana branch of Tashkent University of Information TechnologiesFergana branch of Tashkent University of Information TechnologiesFergana branch of Tashkent University of Information TechnologiesFergana branch of Tashkent University of Information TechnologiesThis paper considers learning as a process of mastering a knowledge domain, investigating the interaction of learners with courses of study and the influence of learner actions on the state of mastery of the knowledge space in order to define a learning control function and to model algorithms for constructing the knowledge space. Key aspects of the interaction process, variables that can be changed to customise the learning model, are given. A threshold to mastery of a course element is formulated and a scale of mastery level for a particular knowledge element is described. As a result, algorithms for forming, expanding and segmenting the knowledge space were created. The research presented the concept of learning as a guided wave process of knowledge mastery, where the learner's actions correspond to the structure of the knowledge space and are determined by its properties.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/38/e3sconf_greenenergy2024_03013.pdfmodellingtraininginteractionalgorithmlearningmasteringknowledgecoursewave processknowledge space |
| spellingShingle | Gorovik Alexander Lazareva Marina Khasanova Makhinur Yuldosheva Dilfuza Modelling algorithms for learner interaction with training courses E3S Web of Conferences modelling training interaction algorithm learning mastering knowledge course wave process knowledge space |
| title | Modelling algorithms for learner interaction with training courses |
| title_full | Modelling algorithms for learner interaction with training courses |
| title_fullStr | Modelling algorithms for learner interaction with training courses |
| title_full_unstemmed | Modelling algorithms for learner interaction with training courses |
| title_short | Modelling algorithms for learner interaction with training courses |
| title_sort | modelling algorithms for learner interaction with training courses |
| topic | modelling training interaction algorithm learning mastering knowledge course wave process knowledge space |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/38/e3sconf_greenenergy2024_03013.pdf |
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