Poster
in
Affinity Event: Muslims in ML
AI-Driven Demand-Oriented STEM Education Strategy for Our Muslim Community
Yan Sha · Zhao DONG · Shaokai Yang
Keywords: [ AI ] [ Education ] [ STEM ]
In the context of rapidly advancing global technology, Science, Technology, Engineering, and Mathematics (STEM) education in the Middle East and Muslim-majority regions is essential for driving innovation and supporting economic diversification. But, significant gaps remain between current educational practices and our vision, particularly in learning methodologies, student motivation, employment market alignment, and educational equity. We propose a comprehensive strategic framework that leverages large language models (LLMs) and virtual reality (VR) to create an AI-supported, closed-loop skills training system offering immersive and personalized learning experiences. Additionally, it promotes a mutually beneficial, cross-regional educational cooperation model that fosters resource sharing between economically developed and underdeveloped areas to support the development of Muslim communities around the world. This framework aims to establish an inclusive and efficient global STEM education system within Muslim communities, empowering the younger generation to meet future challenges while ensuring sustainable returns for sponsors in cultivating global tech talent.
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