Conference proceeding
PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp 1-12
26 Apr 2025
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 self-described instructional preferences. 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
14 Record Views
Details
- Title
- PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts
- Creators
- Tiffany D. Do - ,Usama Bin Shafqat - ,Elsie Ling - Google (United States)Nikhil Sarda - Google (United States)
- Contributors
- Naomi Yamashita (Editor) - Kyoto UniversityVanessa Evers (Editor) - Nanyang Technological UniversityKoji Yatani (Editor) - The University of TokyoXianghua (Sharon) Ding (Editor) - University of GlasgowBongshin Lee (Editor) - Yonsei UniversityMarshini Chetty (Editor) - University of ChicagoPhoebe Toups-Dugas (Editor) - Monash University
- Publication Details
- Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp 1-12
- Conference
- CHI 2025: CHI Conference on Human Factors in Computing Systems
- Series
- ACM Conferences
- Publisher
- ACM
- Number of pages
- 12
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:001496957100377
- Scopus ID
- 2-s2.0-105005763492
- Other Identifier
- 991022049011604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Robotics