基于多模态内容自动生成多样化习题的智能系统
QuesGenie: Intelligent Multimodal Question Generation
- 融合多源内容输入与强化学习反馈优化生成质量
- 支持多种题型自动创建，提升教学资源利用率
- 适合教育科技开发者与教师备课使用
在信息丰富的时代，学习者可获取大量教育资源，但缺乏与之匹配的练习材料成为主要挑战。本项目提出一种多模态问题生成系统，能从不同内容格式中自动生成多样化的题目类型。系统包含四大核心模块：多模态输入处理、问题生成、基于人类反馈的强化学习（RLHF）以及端到端交互界面。该系统为自动化、可扩展且智能的问题生成奠定基础，兼顾资源效率、功能稳健性与流畅用户体验。
原文摘要 · Abstract (English)
In today's information-rich era, learners have access to abundant educational resources, but the lack of practice materials tailored to these resources presents a significant challenge. This project addresses that gap by developing a multi-modal question generation system that can automatically generate diverse question types from various content formats. The system features four major components: multi-modal input handling, question generation, reinforcement learning from human feedback (RLHF), and an end-to-end interactive interface. This project lays the foundation for automated, scalable, and intelligent question generation, carefully balancing resource efficiency, robust functionality and a smooth user experience.
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