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Localized Intelligence: Designing an AI-Enhanced OER Course for Faculty Development in a Low-Resource Language Context

Author(s)
Shilibekova, Aigerim
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Abstract
The paper introduces the concept of localized intelligence, a pedagogical principle that frames instructional design with AI as a situated and context-responsive practice, guided by human expertise. This approach challenges assumptions of AI scalability and oZers a replicable model for designing inclusive, culturally aligned professional learning experiences, with implications for multilingual faculty development across global contexts.
Date issued
2025-07
URI
https://hdl.handle.net/1721.1/163138
Journal
2025 MIT AI and Education Summit

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