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利用生成式用户界面赋能教育:定制化学习交互

Harnessing Generative UI for Education: Tailored Learning Interactives

Alisa Kovshov, Anisha Choudhury, Anna Iurchenko, Amy Keeling, Avinatan Hassidim, Ayelet Shasha Evron, Ayça Çakmakli, Diana Akrong, Femi Olanubi, Gal Elidan, Ian Li, Ido Lerer, Katherine Chou, Lidan Hackmon, Michal Gordon, Nir Kerem, Niv Efron, Preeti Singh, Rena Levitt, Rotem Yulzary, Shlomi Ben Shimon, Sophie Allweis, Tracey Lee-Joe, Tzvika Stein, Yaniv Carmel, Yael Haramaty, Yishay Mor, Yossi Matias, Yuri Lev

arXiv 2609.20738首次发表:更新:

发表机构

Google Research(谷歌研究)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文提出学习交互框架,利用Gemini生成式UI自动化创建定制化交互模拟,并通过教育者研究和专家教学评分验证其有效性。

AI 中文摘要

众所周知,学生通过主动参与学习效果最佳,尤其是通过与现实世界概念相关的互动体验。然而,创建此类体验通常需要耗费大量精力的设计、高昂的开发成本以及持续的教师指导,才能实现可衡量的有效成果。生成式用户界面的最新进展为自动化创建定制化互动体验的未来实践打开了大门。然而,现成的模型缺乏对教学精准性和学习原理的优化,往往在复杂的教学构念上产生不尽人意的结果。为解决这些局限性,我们提出了学习交互(learning interactives),这是一个利用Gemini的生成式用户界面能力来构建有效定制化交互模拟的结构化框架。我们通过一项与教育工作者进行的初步研究以及专家教师对一系列多样化模拟的教学评分来评估我们的方法。

英文摘要

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.

论文原文

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