用AI帮老师批改数学作业，让系统既智能又听老师指挥。
A Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAIde app
- 结合教师意见设计系统，让AI提建议、老师做决定。
- 实测显示系统在资源有限的课堂中易用且高效。
- 适合教育科技开发者和一线教师参考落地经验。
本研究探讨在智能辅导系统（ITS）中融合增强智能（AuI），以应对人工智能教育（AIED）中的挑战，包括教师参与度低、AI可靠性不足及资源可及性差等问题。我们提出了MathAIde，一个基于计算机视觉与AI的ITS，能通过学生作业照片自动批改数学题并提供反馈。系统设计采用教师协作、高保真原型、A/B测试及真实场景案例研究等混合方法。结果强调教师中心、用户驱动的重要性：AI仅建议补救方案，教师保留最终决策权。研究验证了该系统在教学环境中具有效率高、可用性强、推广潜力大等特点，尤其适用于资源匮乏地区。本研究为平衡用户需求与技术可行性提供了实践洞见，并通过混合方法验证了在教育技术中实现增强智能的有效路径。
原文摘要 · Abstract (English)
This study explores the integration of Augmented Intelligence (AuI) in Intelligent Tutoring Systems (ITS) to address challenges in Artificial Intelligence in Education (AIED), including teacher involvement, AI reliability, and resource accessibility. We present MathAIde, an ITS that uses computer vision and AI to correct mathematics exercises from student work photos and provide feedback. The system was designed through a collaborative process involving brainstorming with teachers, high-fidelity prototyping, A/B testing, and a real-world case study. Findings emphasize the importance of a teacher-centered, user-driven approach, where AI suggests remediation alternatives while teachers retain decision-making. Results highlight efficiency, usability, and adoption potential in classroom contexts, particularly in resource-limited environments. The study contributes practical insights into designing ITSs that balanceuser needs and technological feasibility, while advancing AIED research by demonstrating the effectiveness of a mixed-methods, user-centered approach to implementing AuI in educational technologies.
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