| DC Field | Value | Language |
|---|
| dc.contributor.author | Pakutnik, D. V. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2026-09-11T08:09:37Z | - |
| dc.date.available | 2026-09-11T08:09:37Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Pakutnik, D. V. Models and tools for automation of quality control in educational assignment assessment / D. V. Pakutnik // Актуальные вопросы экономики и информационных технологий : сборник материалов докладов 62-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 13–17 апреля 2026 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2026. – С. 704–706. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/65715 | - |
| dc.description.abstract | This paper analyzes models and tools for automating quality control in educational assessment. It reviews rule-based systems,
machine learning, and natural language processing approaches, and examines LMS-integrated solutions and their effectiveness. Key
challenges include algorithmic bias, assessing creative work, and ensuring transparency. The study shows that hybrid approaches combining
automated assessment with human oversight provide the most effective and reliable results for modern higher education systems. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | automated assessment | en_US |
| dc.subject | quality control | en_US |
| dc.subject | educational technology | en_US |
| dc.title | Models and tools for automation of quality control in educational assignment assessment | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Актуальные вопросы экономики и информационных технологий : материалы 62-й научной конференции аспирантов, магистрантов и студентов (2026)
|
