Year: 2026
Type: preprint
Abstract: 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.
Source: arXiv (Cornell University)
Authors: Kovshov, Alisa, Choudhury, Anisha, Iurchenko, Anna, Keeling, Amy, Hassidim, Avinatan, Evron, Ayelet Shasha, Çakmakli, Ayça, Akrong, Diana, Olanubi, Femi, Elidan, Gal, Li, Ian, Lerer, Ido, Chou, Katherine, Hackmon, Lidan, Gordon, Michal, Kerem, Nir, Efron, Niv, Singh, Preeti, Levitt, Rena, Yulzary, Rotem, Shimon, Shlomi Ben, Allweis, Sophie, Lee-Joe, Tracey, Stein, Tzvika, Carmel, Yaniv, Haramaty, Yael, Mor, Yishay, Matias, Yossi, Lev, Yuri
Institution: Google (United States)
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7213599305
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