Localized Intelligence: Designing an AI-Enhanced OER Course for Faculty Development in a Low-Resource Language Context
Name
Shilibekova_Localized-Intelligence_MIT-RAISE-Summit-2025_Reviewed.pdf
Size
83.45 KB
Format
Adobe PDF
Checksum (MD5)
8c642f2853c98a1346ed644d10b43a87
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.
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