Improving the Efficiency of the Learning Process Using the Markov Model
We consider a Markov model of learning consisting of three states: the state of knowledge transfer, the training state, and the state of knowledge control. Taking into account of training time within this model allows one to obtain additional information about competencies of students, to estimate t...
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| Veröffentlicht in: | Journal of mathematical sciences (New York, N.Y.) N.Y.), 2024, Vol.283 (3), p.461-466 |
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| container_end_page | 466 |
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| container_issue | 3 |
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| container_title | Journal of mathematical sciences (New York, N.Y.) |
| container_volume | 283 |
| creator | Serbin, V. I. |
| description | We consider a Markov model of learning consisting of three states: the state of knowledge transfer, the training state, and the state of knowledge control. Taking into account of training time within this model allows one to obtain additional information about competencies of students, to estimate the values of latent parameters, and to improve the learning process. |
| doi_str_mv | 10.1007/s10958-024-07275-x |
| format | Article |
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| ispartof | Journal of mathematical sciences (New York, N.Y.), 2024, Vol.283 (3), p.461-466 |
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| language | eng |
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| source | SpringerLink Journals |
| subjects | Knowledge management Learning Markov chains Mathematics Mathematics and Statistics Parameter estimation |
| title | Improving the Efficiency of the Learning Process Using the Markov Model |
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