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Integrating Generative AI into LMS: Reshaping Learning and Instructional Design
Xinran Zhu, Liam Magee, Peg Mischler
October 20, 2025
arXiv.org
2 citations
Key Takeaways
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AI should enhance critical thinking, not replace it: The paper argues that generative AI tools like ChatGPT and Claude should be integrated into Learning Management Systems to support higher-order thinking—such as inquiry, collaboration, and reflection—rather than simply automating tasks or delivering content. This means designing learning experiences where students engage with AI critically rather than passively consuming AI-generated answers.
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Learning platforms need fundamental redesign: Traditional Learning Management Systems function as static content repositories, but the paper contends they must evolve into "dynamic ecosystems" that actively cultivate meaningful human-AI interaction. This requires rethinking how educational technology is structured from the ground up, not just adding AI features to existing systems.
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Intentional AI interaction design matters: The paper emphasizes that educational value depends on how AI is integrated. Simply deploying generative AI tools is insufficient; learning environments must be deliberately designed to encourage "critical, intentional, and socially mediated engagement with AI," suggesting that thoughtful pedagogy must guide technology implementation.
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Collaboration across sectors is essential for responsible integration: The paper concludes that responsible AI in education cannot be achieved by technologists alone. It requires "sustained collaboration among researchers, educators, and technologists" to ensure that AI integration remains "ethical, pedagogically grounded, and cognitively informed"—highlighting that responsible AI demands diverse expertise and oversight.