An Experimental Evaluation of an AI-Powered Interactive Learning Platform
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914423712514048 |
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| author | Heldreth, Courtney Akrong, Diana Vardoulakis, Laura M. Miller, Nicole E. Haramaty, Yael Hackmon, Lidan Belinsky, Lior Tapia, Abraham Ortiz Tootill, Lucy Siebert, Scott |
| author_facet | Heldreth, Courtney Akrong, Diana Vardoulakis, Laura M. Miller, Nicole E. Haramaty, Yael Hackmon, Lidan Belinsky, Lior Tapia, Abraham Ortiz Tootill, Lucy Siebert, Scott |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_18664 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | An Experimental Evaluation of an AI-Powered Interactive Learning Platform Heldreth, Courtney Akrong, Diana Vardoulakis, Laura M. Miller, Nicole E. Haramaty, Yael Hackmon, Lidan Belinsky, Lior Tapia, Abraham Ortiz Tootill, Lucy Siebert, Scott Human-Computer Interaction 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. |
| title | An Experimental Evaluation of an AI-Powered Interactive Learning Platform |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2509.18664 |