Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays
Hoor Elbahnasawi, Marwan Sayed, Sohaila Eltanbouly, Fatima Brahamia, Tamer Elsayed

TL;DR
Qayyem is a web-based platform that facilitates Arabic automated essay scoring by integrating advanced models and providing an accessible interface for educators.
Contribution
It introduces a comprehensive platform supporting Arabic AES with multiple scoring models and an easy-to-use workflow for educators.
Findings
Supports multiple Arabic AES models with varying effectiveness.
Provides an integrated, user-friendly interface for educators.
Facilitates large-scale Arabic essay assessment.
Abstract
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.
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Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning · Topic Modeling · Second Language Acquisition and Learning
