New framework EssayCBM enables transparent and editable automated essay grading

Researchers have developed EssayCBM, a new framework designed to make automated essay grading more transparent and auditable. This system breaks down the evaluation into eight distinct writing concepts before assigning a final score, allowing instructors to understand, trust, and modify grading decisions. EssayCBM achieves performance comparable to existing neural language models while providing a clear, editable mapping from writing concepts to grades. AI

IMPACT Enhances trust and editability in AI-powered educational tools, potentially improving adoption in academic settings.

RANK_REASON The cluster contains an academic paper detailing a new model and framework for automated essay grading. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
• arXiv
• CatalyzeX
• DagsHub
• EssayCBM
• Gotit.pub
• Hugging Face
• Kumar Satvik Chaudhary
• ScienceCast

• paper
• product

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