Amir Globerson, Anisha Choudhury, Anna Iurchenko, Avinatan Hassidim, Cathy Cheung, Elizabeth Kim, Femi Olanubi, Gabby Espinosa 等 24 位作者
Durable skills like critical thinking, creativity, and collaboration are essential for innovation, yet teaching them remains difficult. In this work, we focus on the entrepreneurial domain, where these skills and others are required, and ask whether AI can be used as a tool for improving entrepreneurial proficiency. As a first step towards this challenge, we present an extension of Vantage, a platform developed at Google Research, adapted to serve as an interactive practice environment for entrepreneurship. Vantage pairs students with simulated AI peers engineered to navigate realistic business scenarios and challenge learners to exercise key skills. In a randomized controlled trial (RCT) embedded in summer entrepreneurship programs run by The Network for Teaching Entrepreneurship (NFTE), students using Vantage scored significantly higher on their Capstone Business Plans than control students with access to standard AI tools. These preliminary findings suggest that orchestrated AI peers can meaningfully support short-term performance on tasks requiring complex, durable skills.
AI 速览：提出“learning interactives”框架，借助Gemini的生成式UI能力自动构建定制化互动模拟，并通过教育者初步研究与专家教师的教学评分进行评估。
It is well established that students learn best through active engagement, particularly via interactive experiences tied to real-world concepts. Creating such experiences, however, typically requires labor-intensive design, costly development, and continuous teacher guidance to achieve measurably effective outcomes. Recent advances in generative UI open the door for a future of practice where the creation of tailored interactive experiences is automated. However, off-the-shelf models lack optimization for pedagogical precision and learning principles, often yielding unsatisfactory results for complex pedagogical constructs. To address these limitations, we present learning interactives, a structured framework leveraging the generative UI capabilities of Gemini to construct effective customized interactive simulations. We evaluate our approach through both an initial study with educators as well as a pedagogical rating of a varied set of simulations by expert teachers.
LearnLM Team, Google, :, Alicia Martín, Amir Globerson, Amy Wang, Anirudh Shekhawat, Anna Iurchenko 等 37 位作者
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.