Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays
arXiv:2603.01009v1 Announce Type: new 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.
arXiv:2603.01009v1 Announce Type: new 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.
Executive Summary
The article presents Qayyem, a real-time platform for scoring proficiency of Arabic essays. The platform offers an integrated workflow for assignment creation, batch essay upload, scoring configuration, and per-trait essay evaluation, abstracting the technical complexity of interacting with scoring server APIs. Qayyem deploys state-of-the-art Arabic essay scoring models with varying effectiveness and efficiency figures. The platform addresses the limited support for Arabic Automated Essay Scoring (AES) systems due to linguistic complexity and scarcity of large annotated datasets. By providing a user-friendly interface, Qayyem enables instructors to access advanced scoring services. The platform's design and implementation are significant steps towards improving the assessment of Arabic student writing proficiency.
Key Points
- ▸ Qayyem provides an integrated workflow for Arabic essay scoring
- ▸ The platform abstracts the technical complexity of interacting with scoring server APIs
- ▸ Qayyem deploys state-of-the-art Arabic essay scoring models with varying effectiveness and efficiency figures
Merits
Improved Assessment of Arabic Student Writing Proficiency
Qayyem addresses the limited support for Arabic AES systems, enabling more accurate and consistent assessment of student writing proficiency
Enhanced Accessibility
The platform provides a user-friendly interface, making advanced scoring services accessible to instructors
Scalability and Consistency
Qayyem offers an integrated workflow for batch essay upload and scoring configuration, ensuring scalability and consistency in the assessment process
Demerits
Limited Language Support
Qayyem's design focuses exclusively on Arabic, limiting its applicability to other languages
Dependence on Advanced Scoring Models
The platform's effectiveness relies on the accuracy and efficiency of the deployed Arabic essay scoring models
Technical Complexity
While Qayyem abstracts the technical complexity of interacting with scoring server APIs, the platform itself may still pose technical challenges for users
Expert Commentary
The article presents a significant contribution to the field of Automated Essay Scoring, addressing the limited support for Arabic AES systems. Qayyem's design and implementation demonstrate the potential of education technology to improve accessibility and enhance the assessment process. However, the platform's limitations, such as limited language support and dependence on advanced scoring models, highlight the need for further research and development in this area. Ultimately, the implications of Qayyem's design and implementation are far-reaching, with the potential to improve student outcomes and inform policy decisions in education.
Recommendations
- ✓ Further research should be conducted to develop AES systems for other languages, addressing the limited language support of Qayyem
- ✓ The development of more advanced scoring models and annotated datasets should be prioritized to improve the accuracy and efficiency of Arabic essay scoring