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June 7, 2026International Journal of Advanced Computer Science and ApplicationsOpen Access

Large Language Models for Arabic Automated Essay Scoring

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Authors

LNLeena NajjarTaibah UniversityLSLiyakathunisa SyedTaibah University

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Overview

Survey discusses improvements in Arabic Automated Essay Scoring, highlighting necessary metrics and challenges.

Key Points

  • The aim is to summarize advancements in Arabic Automated Essay Scoring (AAES) and its associated challenges.
  • Survey of literature on datasets, prompts, and pre-processing methods in AAES.
  • Analysis of performance metrics like QWK, MAE, and correlation to evaluate automated systems.
  • Discussion of challenges including data insufficiency, bias, and reproducibility.
  • Transformers and large language models show improved performance in understanding context and aligning with human evaluations.
  • Challenges in reproducibility and scalability remain significant within AAES frameworks.
  • The survey identifies future research directions like hybrid grading and explainability.

Cite This Study

Najjar et al. (2026) studied this question.

synapsesocial.com/papers/6a250ae37def13d035e1aeadhttps://doi.org/10.14569/ijacsa.2026.0170570
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