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dc.contributor.authorShilibekova, Aigerimen_US
dc.date.accessioned2025-10-10T12:36:42Z
dc.date.available2025-10-10T12:36:42Z
dc.date.issued2025-07
dc.identifier.urihttps://hdl.handle.net/1721.1/163138
dc.description.abstractThe 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.en_US
dc.titleLocalized Intelligence: Designing an AI-Enhanced OER Course for Faculty Development in a Low-Resource Language Contexten_US
dc.typeArticleen_US
dc.relation.journal2025 MIT AI and Education Summit
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US


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