SOTAVerified

Automated Essay Scoring

Essay scoring: Automated Essay Scoring is the task of assigning a score to an essay, usually in the context of assessing the language ability of a language learner. The quality of an essay is affected by the following four primary dimensions: topic relevance, organization and coherence, word usage and sentence complexity, and grammar and mechanics.

Source: A Joint Model for Multimodal Document Quality Assessment

Papers

Showing 1–10 of 104 papers

TitleStatusHype
Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments—0
Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems—0
Composable Cross-prompt Essay Scoring by Merging Models—0
TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring—0
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring—0
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models—0
Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models?—0
Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?—0
Evolution of AI in Education: Agentic Workflows—0
ARWI: Arabic Write and Improve—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural Pairwise Contrastive Regression (NPCR)Quadratic Weighted Kappa0.82—Unverified
2Tran-BERT-MS-ML-RQuadratic Weighted Kappa0.79—Unverified
3Considering-Content-XLNetQuadratic Weighted Kappa0.79—Unverified
4HISK+BOSWEQuadratic Weighted Kappa0.79—Unverified
5SkipFlowQuadratic Weighted Kappa0.76—Unverified
6MHMLWQuadratic Weighted Kappa0.76—Unverified
7AFQuadratic Weighted Kappa0.73—Unverified
8FDAQuadratic Weighted Kappa0.71—Unverified