ORIGINAL RESEARCH article
Front. Artif. Intell.
Sec. AI for Human Learning and Behavior Change
An Experimental Evaluation of an AI-Powered Interactive Learning Platform
Provisionally accepted
Courtney Heldreth1*
Laura Vardoulakis2
Diana Akrong3Nicole Miller4Yael Haramaty5Lior Belinsky5Lidan Hackmon5Abraham Oritz Tapia4Lucy Tootill4Scott Siebert4- 1Google, Seattle, United States
- 2Google (United States), Mountain View, United States
- 3Google, Accra, Ghana
- 4Bold Insight, Chicago, United States
- 5Google, Tel Aviv, Israel
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Generative AI, which is capable of transforming static content into dynamic learning experiences, holds the potential to revolutionize student engagement in educational contexts. However, questions still remain around whether or not these tools are effective at facilitating student learning. In this research, we test the effectiveness of an AI-powered platform incorporating multiple representations and assessment through Learn Your Way, an experimental research platform that transforms textbook chapters into dynamic visual and audio representations. Through a between-subjects, mixed methods experiment with 60 US-based students, we demonstrate that students who used Learn Your Way had a more positive learning experience and had better learning outcomes compared to students learning the same content through a digital textbook. These findings indicate that AI-driven tools, capable of providing choice among interactive representations of content, constitute an effective and promising method for enhancing student learning.
Keywords: Artificial intelligence in education, Content Transformations, Education - active learning, personalized learning, Student agency
Received: 07 Jan 2026; Accepted: 13 Feb 2026.
Copyright: © 2026 Heldreth, Vardoulakis, Akrong, Miller, Haramaty, Belinsky, Hackmon, Tapia, Tootill and Siebert. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Courtney Heldreth
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.