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Preprint (Author's original)arXiv.org - Non-exclusive license to distribute, Open
Preprint
PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts
arXiv.org
06 Sep 2024
Abstract
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.
Metrics
15 Record Views
Details
- Title
- PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts
- Creators
- Tiffany D DoUsama Bin ShafqatElsie LingNikhil Sarda
- Publication Details
- arXiv.org
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Computer Science
- Other Identifier
- 991021916803704721