Explainable AI for Education: Enhancing Essay Scoring via Rubric-Aligned Chain-of-Thought Prompting

Abstract excerpt

Automated Essay Scoring (AES) systems increasingly leverage fine-tuned large language models (LLMs) to enhance scoring accuracy and feedback generation. However, current LLM-based AES approaches often lack interpretability and consistent alignment with human scoring rubrics, limiting their practical adoption in educational settings. This study proposes QwenScore+, a novel framework that integrates rubric-aware Cha...

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• Algorithms
• Mutation
• Natural Language Processing

Identifiers and source

Literature Corpus work

4057f4c7-b4ce-5834-9c9e-4ae81b75fc8d

DOI

10.20944/preprints202504.2338.v1