Autor: |
Gorovik Alexander, Lazareva Marina, Khasanova Makhinur, Yuldosheva Dilfuza |
Jazyk: |
English<br />French |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
E3S Web of Conferences, Vol 508, p 03013 (2024) |
Druh dokumentu: |
article |
ISSN: |
2267-1242 |
DOI: |
10.1051/e3sconf/202450803013 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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