在互动式AI播客中加入大模型引导的反思提示，效果如何？

Evaluating the Impact of LLM-guided Reflection on Learning Outcomes with Interactive AI-Generated Educational Podcasts

• 用大模型生成反思问题嵌入播客，增强互动性
• 学习效果无显著差异，但用户感知吸引力下降
• 适合关注反思型交互设计的研究者

本研究考察了在互动式AI生成播客中嵌入大语言模型（LLM）引导的反思提示，是否比无提示版本更能提升学习成效与用户体验。36名本科生参与实验，结果显示两组学习成果相似，但含反思提示的版本在感知吸引力方面显著降低，提示需进一步研究反思性交互的设计策略。

原文摘要 · Abstract (English)

This study examined whether embedding LLM-guided reflection prompts in an interactive AI-generated podcast improved learning and user experience compared to a version without prompts. Thirty-six undergraduates participated, and while learning outcomes were similar across conditions, reflection prompts reduced perceived attractiveness, highlighting a call for more research on reflective interactivity design.

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