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A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment

Paper recorded by Signals 4 on 2026-09-04 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07

Category: cs.CL · 自然语言处理 · first seen 2026-09-07

Abstract

The integration of artificial intelligence (AI), particularly large language models (LLMs), into educational assessment has opened new opportunities to enhance the efficiency and scalability of grading processes. This study presents the design and validation of an AI-assisted scoring framework for written responses in a large-scale national assessment. The proposed approach focuses on short writte

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#108 most recent of 186 cs.CL papers we have recorded · ↑ newer: From Vision to Language: Investigating Causal Information Flow in Mult · ↓ older: NS-ST-GraphRAG: Neuro-Symbolic Spatio-Temporal GraphRAG for Literary K
Cite this page: A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment: the #108 most recent of 186 cs.CL papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-human-in-the-loop-framework-for-ai-assisted-scoring-in-large-scale-writing-ass.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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