CLUSTER ANALYSIS IN EDUCATIONAL PROCESS MANAGEMENT
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901990138707968 |
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| author | Achilova Dilnoza |
| author_facet | Achilova Dilnoza |
| contents | <p><em><span lang="EN-US">The study focuses on the quality management of the educational process in higher education institutions, with particular attention to monitoring student motivation and knowledge levels. The research underscores the significance of first-year students’ adaptation to novel learning environments and highlights the necessity of individualized educational trajectories. To achieve this, the study proposes the implementation of a questionnaire-based assessment, incorporating engineering graphics test items and motivation-determining questions. The analysis of questionnaire results facilitates the clustering of students based on their knowledge proficiency and motivational profiles, thereby enabling more effective educational process management and contributing to the overall enhancement of education quality.</span></em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15244538 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CLUSTER ANALYSIS IN EDUCATIONAL PROCESS MANAGEMENT Achilova Dilnoza <p><em><span lang="EN-US">The study focuses on the quality management of the educational process in higher education institutions, with particular attention to monitoring student motivation and knowledge levels. The research underscores the significance of first-year students’ adaptation to novel learning environments and highlights the necessity of individualized educational trajectories. To achieve this, the study proposes the implementation of a questionnaire-based assessment, incorporating engineering graphics test items and motivation-determining questions. The analysis of questionnaire results facilitates the clustering of students based on their knowledge proficiency and motivational profiles, thereby enabling more effective educational process management and contributing to the overall enhancement of education quality.</span></em></p> |
| title | CLUSTER ANALYSIS IN EDUCATIONAL PROCESS MANAGEMENT |
| url | https://doi.org/10.5281/zenodo.15244538 |