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

Shilibekova, Aigerim

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

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Shilibekova_Localized-Intelligence_MIT-RAISE-Summit-2025_Reviewed.pdf

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Author(s)

Shilibekova, Aigerim

Date Issued

July 2025

Journal

2025 MIT AI and Education Summit

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.

Persistent DSpace Link

https://hdl.handle.net/1721.1/163138