Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays
This addresses the problem of scalable and consistent assessment of Arabic essays for instructors, but it is incremental as it builds on existing AES systems and models.
They tackled the limited support for Automated Essay Scoring (AES) in Arabic by developing Qayyem, a web-based platform that provides an integrated workflow for assignment creation, batch essay upload, and scoring configuration, deploying state-of-the-art Arabic essay scoring models with varying effectiveness and efficiency.
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.