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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Sep 7·5 min read
A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment
TL;DR
An AI-assisted scoring framework for large-scale writing assessments was developed, demonstrating moderate to high agreement with human raters. This approach effectively reduces manual grading workload while maintaining assessment quality.
✦ Why It Matters
Consider implementing AI-assisted scoring in your assessment processes to enhance efficiency while ensuring quality.
Key Takeaways
- Explore AI-assisted scoring frameworks for your assessments.
- Utilize human-in-the-loop strategies to maintain quality.
- Analyze AI-human alignment in scoring for better outcomes.
- Monitor for cognitive biases in AI-supported review workflows.
How It Works
The framework combines AI-generated scores with human evaluations, allowing for a correction workflow that identifies responses needing expert review. This dual approach ensures that while AI handles the bulk of scoring, human raters can focus on the most critical assessments, thus optimizing resource allocation.