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利用人工智能技術自動閱卷評分
Finetune Score™的研發團隊匯聚了來自哈佛創新實驗室和麻省理工學院的精英。該系統最初專爲大規模考試的自動判卷而設計，憑藉強大的人工智能計算模型，能夠快速、精準地完成自動判卷，從而徹底顛覆了傳統的考試評分流程。Finetune Score™不僅可以提供實時反饋，還大大提升了判卷的效率與一致性，同時有效節省了批閱試卷的時間和成本。
Grade any testing forms including math with machine learning
Finetune Score aligns with SME rubics to deliver precise and efficient results that meet the complex grading needs across many types of testing content including math, languages, and sciences. Capable of handling multimodal inputs, Finetune Score precisely auto-scores high-volumes of low-, mid-, and high-stakes assessments when other large language models fall short.
Transform grading with the automated precision of Finetune Score
Auto-scoring enhances grading efficiency and consistency with over 95% accuracy, significantly reducing time and costs across all testing formats.
Efficiency & Resource Savings
Transform extensive grading processes with automation to give educators more time to focus on personalized instruction.
Fully Auto-Grading for All Formats
Automate scoring end-to-end with auto-grading that works seamlessly with all question types and formats.
Equitable, Consistent Scoring
Remove human bias with auto-scoring that applies standardized criteria uniformly across all student responses.
Immediate, Actionable Feedback
Help students quickly understand their performance and identify areas for improvement with immediate feedback.
How it works
Learn how Finetune Score delivers unmatched precision and efficiency
Finetune Score supports diverse assessment formats, including multiple-choice and complex open-ended responses, using OCR to accurately interpret handwritten and typewritten content. With seamless API integration, it adapts to existing grading systems, enabling rapid implementation and immediate, actionable feedback for students and candidates.
Highly Accurate Response Recognition
Optical Character Recognition (OCR) accurately captures complex handwritten and typewritten math equations, formulas, and science content, ensuring reliability for detailed responses.
Contextual AI-Driven Grading
Computation-driven engine interprets responses based on grading rubrics, criteria, and standards, delivering precise, fair, and clear results, even for multi-step math problems or scientific proofs.
Versatile Question Type Support
Precise grading handles complex response types like equation solving and scientific derivations while maintaining consistent performance across subjects to meet diverse assessment scoring needs.
Seamless Integration and Scalability
API enables easy integration for use in classrooms or large-scale assessments, supporting multiple languages, including English, Chinese, and Japanese.
Auto-Grading with Optional Human Oversight
Optional human review provides flexibility and comprehensive oversight whenever and wherever you need more grading control, such as in high-stakes assessments.
Data-Driven Insights for Continuous Improvement
Confidence metrics and data insights allow educators to evaluate grading reliability and refine the quality of their assessments.
Precise, unbiased auto-scoring tailored for high-volume assessments
Finetune Score is an essential tool for institutions worldwide seeking efficient, scalable grading, powered by advanced computational models enabled by machine learning technology.
95%
grading accuracy
99%
OCR precision
Transform assessment grading with Prometric's precise, auto-scoring solution
Ready to use the power of machine learning to supercharge your exam scoring? Reach out to learn more about how Finetune Score can help.
