Automatic Arabic Grading System for Short Answer Questions

Article Multidisciplinary Sciences

Automatic grading for Arabic short answer questions using optimized deep learning model

Mustafa Abdul Salam et al.

Summary: This paper proposes an optimized deep learning model that utilizes the Grey Wolf Optimizer and LSTM model to automatically grade short-answer questions. The model is tested using datasets collected from seventh-grade students in the Science subject. The results demonstrate that the proposed model outperforms classical LSTM model and other compared models in terms of performance.

PLOS ONE (2022)

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Proceedings Paper Computer Science, Artificial Intelligence

AraScore: Investigating Response-Based Arabic Short Answer Scoring

Abdelrahman ElNaka et al.

Summary: This paper investigates multiple supervised learning approaches for Arabic short answer scoring and introduces a new dataset AraScore-Dataset. By comparing with other datasets, the most effective approach for Arabic automated short answer scoring is proposed to enhance learning quality in the region.

AI IN COMPUTATIONAL LINGUISTICS (2021)

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Article Computer Science, Information Systems

Automatic Arabic Short Answers Scoring Using Longest Common Subsequence and Arabic WordNet

Hikmat A. Abdeljaber

Summary: This paper discusses the usage of the longest common subsequence algorithm as a text similarity measure in scoring short answers of Arabic essay questions. The experiments show improvements in accuracy compared to previous studies, with scores similar to that of human estimators.

IEEE ACCESS (2021)

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Article Computer Science, Artificial Intelligence