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October 9, 2025Engineering Technology & Applied Science ResearchOpen Access

An Automatic Grading System for Arabic Language Short-Answer Questions Using Deep Learning

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Authors

AAAfnan AlqurashiBABasma AlharbiSSSahar F. Sabbeh

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Overview

Developing an automated grading system enhances explainability and accuracy in Arabic language assessments.

Key Points

  • The BERT model demonstrated strong performance with Pearson correlation coefficients ranging from 0.811 to 0.923.
  • Automated short answer grading systems improve evaluation quality while reducing manual grading efforts.
  • This Arabic ASAG system integrates automated scoring methods with explainability for enhanced transparency.
  • Experiments were validated on three diverse datasets, including custom Arabic and translated datasets.

Cite This Study

Alqurashi et al. (2025) studied this question.

synapsesocial.com/papers/68e70db790569dd607ee6500https://doi.org/10.48084/etasr.10917
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