用AI生成精准答题反馈，提升在线教育个性化支持
Personalised Feedback Framework for Online Education Programmes Using Generative AI
- 结合嵌入技术增强ChatGPT理解力，实现针对知识点的反馈
- 开放题反馈准确率达90%，选择题达100%
- 适合教育科技开发者与在线教学设计者参考
AI工具，尤其是大语言模型，在学习管理系统和在线教育项目中已展现出显著成效。由于反馈在教学评估中至关重要，教育者需精心设计AI工具的应用以更好地支持学生学习。现有研究多聚焦于定性比较AI反馈与人工反馈，本论文提出一种新反馈框架，通过集成嵌入技术扩展ChatGPT能力，使其更深入理解教育内容，为基于测验的评估提供主题定向反馈。研究构建了概念验证系统，对开放题和选择题的反馈有效性分别达到90%和100%。结果表明，该框架不仅超越预期，且可媲美人类反馈，凸显AI在革新教育反馈机制方面的潜力。
原文摘要 · Abstract (English)
AI tools, particularly large language modules, have recently proven their effectiveness within learning management systems and online education programmes. As feedback continues to play a crucial role in learning and assessment in schools, educators must carefully customise the use of AI tools in order to optimally support students in their learning journey. Efforts to improve educational feedback systems have seen numerous attempts reflected in the research studies but mostly have been focusing on qualitatively benchmarking AI feedback against human-generated feedback. This paper presents an exploration of an alternative feedback framework which extends the capabilities of ChatGPT by integrating embeddings, enabling a more nuanced understanding of educational materials and facilitating topic-targeted feedback for quiz-based assessments. As part of the study, we proposed and developed a proof of concept solution, achieving an efficacy rate of 90% and 100% for open-ended and multiple-choice questions, respectively. The results showed that our framework not only surpasses expectations but also rivals human narratives, highlighting the potential of AI in revolutionising educational feedback mechanisms.
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