Towards an AI-Augmented Textbook Article Swipe

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LearnLM Team , Google , NULL AUTHOR_ID , Alicia Martín , Amir Globerson , Amy Wang , Ajay Shekhawat , Anna Iurchenko , Arnab Choudhury , Avinatan Hassidim , Ayça Çakmakli , Ayelet Shasha Evron , Charlie Yang , Courtney Heldreth , Diana Akrong , Gal Elidan , Mu Hairong , Ian Li , Ido Cohen , Katherine Chou , Komal Singh , Lev Borovoi , Lidan Hackmon , Lior Belinsky , Michael Fink , Niv Efron , Preeti Singh , Raymond E. Levitt , Shashank Agarwal , S Sharon , Tracey Lee-Joe , Xiaohong Hao , Yael Gold-Zamir , Yael Haramaty , Yishay Mor , Yoav Bar Sinai , Yossi Matias ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2509.13348

Textbooks are a cornerstone of education, but they have a fundamental limitation: they are a one-size-fits-all medium. Any new material or alternative representation requires arduous human effort, so that textbooks cannot be adapted in a scalable manner. We present an approach for transforming and augmenting textbooks using generative AI, adding layers of multiple representations and personalization while maintaining content integrity and quality. We refer to the system built with this approach as Learn Your Way. We report pedagogical evaluations of the different transformations and augmentations, and present the results of a a randomized control trial, highlighting the advantages of learning with Learn Your Way over regular textbook usage.

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2509.13348
PDF: https://arxiv.org/pdf/2509.13348
OA Status: green
OpenAlex ID: https://openalex.org/W4414691562

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DOI: https://doi.org/10.48550/arxiv.2509.13348

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Title: Towards an AI-Augmented Textbook

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-09-13

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Authors: LearnLM Team, Google, NULL AUTHOR_ID, Alicia Martín, Amir Globerson, Amy Wang, Ajay Shekhawat, Anna Iurchenko, Arnab Choudhury, Avinatan Hassidim, Ayça Çakmakli, Ayelet Shasha Evron, Charlie Yang, Courtney Heldreth, Diana Akrong, Gal Elidan, Mu Hairong, Ian Li, Ido Cohen, Katherine Chou, Komal Singh, Lev Borovoi, Lidan Hackmon, Lior Belinsky, Michael Fink, Niv Efron, Preeti Singh, Raymond E. Levitt, Shashank Agarwal, S Sharon, Tracey Lee-Joe, Xiaohong Hao, Yael Gold-Zamir, Yael Haramaty, Yishay Mor, Yoav Bar Sinai, Yossi Matias

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Landing page: https://arxiv.org/abs/2509.13348

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PDF URL: https://arxiv.org/pdf/2509.13348

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institutions_distinct_count	37
citation_normalized_percentile