Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866916023792304128 |
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| author | Elbahnasawi, Hoor Sayed, Marwan Eltanbouly, Sohaila Brahamia, Fatima Elsayed, Tamer |
| author_facet | Elbahnasawi, Hoor Sayed, Marwan Eltanbouly, Sohaila Brahamia, Fatima Elsayed, Tamer |
| contents | Over the past years, Automated Essay Scoring (AES) systems have gained increasing attention as scalable and consistent solutions for assessing the proficiency of student writing. Despite recent progress, support for Arabic AES remains limited due to linguistic complexity and scarcity of large publicly-available annotated datasets. In this work, we present Qayyem, a Web-based platform designed to support Arabic AES by providing an integrated workflow for assignment creation, batch essay upload, scoring configuration, and per-trait essay evaluation. Qayyem abstracts the technical complexity of interacting with scoring server APIs, allowing instructors to access advanced scoring services through a user-friendly interface. The platform deploys a number of state-of-the-art Arabic essay scoring models with different effectiveness and efficiency figures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_01009 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays Elbahnasawi, Hoor Sayed, Marwan Eltanbouly, Sohaila Brahamia, Fatima Elsayed, Tamer Computation and Language Over the past years, Automated Essay Scoring (AES) systems have gained increasing attention as scalable and consistent solutions for assessing the proficiency of student writing. Despite recent progress, support for Arabic AES remains limited due to linguistic complexity and scarcity of large publicly-available annotated datasets. In this work, we present Qayyem, a Web-based platform designed to support Arabic AES by providing an integrated workflow for assignment creation, batch essay upload, scoring configuration, and per-trait essay evaluation. Qayyem abstracts the technical complexity of interacting with scoring server APIs, allowing instructors to access advanced scoring services through a user-friendly interface. The platform deploys a number of state-of-the-art Arabic essay scoring models with different effectiveness and efficiency figures. |
| title | Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2603.01009 |