Generative AI is revolutionizing content creation and has the potential to enable real-time, personalized educational experiences. We investigated the effectiveness of converting textbook chapters into AI-generated podcasts and explored the impact of personalizing these podcasts for individual learner profiles. We conducted a 3x3 user study with 180 college students in the United States, comparing traditional textbook reading with both generalized and personalized AI-generated podcasts across three textbook subjects. The personalized podcasts were tailored to students' majors, interests, and learning styles. Our findings show that students found the AI-generated podcast format to be more enjoyable than textbooks and that personalized podcasts led to significantly improved learning outcomes, although this was subject-specific. These results highlight that AI-generated podcasts can offer an engaging and effective modality transformation of textbook material, with personalization enhancing content relevance. We conclude with design recommendations for leveraging AI in education, informed by student feedback.

翻译：生成式人工智能正在彻底改变内容创作领域，并有望实现实时、个性化的教育体验。本研究探讨了将教科书章节转换为AI生成播客的有效性，并探究了针对个体学习者画像进行播客个性化定制的影响。我们在美国对180名大学生进行了3×3用户研究，在三个教科书科目中比较了传统教科书阅读与通用型及个性化AI生成播客的效果。个性化播客根据学生的专业、兴趣和学习风格进行定制。研究发现：学生认为AI生成播客形式比教科书更具趣味性；个性化播客能显著提升学习成效，但该效果存在学科特异性。这些结果表明，AI生成播客能够为教科书材料提供一种引人入胜且有效的模态转换方式，而个性化定制能增强内容相关性。最后，我们结合学生反馈提出了在教育领域应用人工智能的设计建议。