标题： 基于人工智能的自动手写大学数学考试简答评分 显示英文标题

标题： AI-assisted Automated Short Answer Grading of Handwritten University Level Mathematics Exams

摘要： 有效的和及时的教育评估反馈是必不可少的，但耗时且劳动密集，尤其是在复杂任务中。 自动化反馈系统最近的发展，从确定性回答评分到半开放和开放性作文的评估，得益于机器学习的进步。 预训练大型语言模型的出现，如GPT-4，为以最小的定制化高效处理多种回答类型提供了有前景的新机会。 本研究评估了预训练的GPT-4模型在大学水平数学考试中对半开放手写回答评分的有效性。 我们的研究结果表明，GPT-4提供的初始评分出人意料地可靠且成本效益高，但需要后续的人工验证。 未来的研究应专注于优化评分规则并提高手写回答的提取能力，以进一步利用这些技术。 显示英文摘要

摘要： Effective and timely feedback in educational assessments is essential but labor-intensive, especially for complex tasks. Recent developments in automated feedback systems, ranging from deterministic response grading to the evaluation of semi-open and open-ended essays, have been facilitated by advances in machine learning. The emergence of pre-trained Large Language Models, such as GPT-4, offers promising new opportunities for efficiently processing diverse response types with minimal customization. This study evaluates the effectiveness of a pre-trained GPT-4 model in grading semi-open handwritten responses in a university-level mathematics exam. Our findings indicate that GPT-4 provides surprisingly reliable and cost-effective initial grading, subject to subsequent human verification. Future research should focus on refining grading rules and enhancing the extraction of handwritten responses to further leverage these technologies.