An AI-Linked Global Framework for a Self-Sustainable Engineering Education System

Author(s)	Latha Ramamoorthy
Country	United States
Abstract	Education forms the foundation for a nation’s development. In today’s technology-driven era, educators are innovating to enhance learning methodologies. Integrating with Artificial Intelligence (AI), a globally adaptive education framework can facilitate self-sustainable education models that align with global dynamics. This study analyzes students' adaptability in online learning environments across government and non-government institutions, employing four deep learning algorithms to assess adaptability factors. Performance comparisons showed that the Random Forest Classifier achieved the highest accuracy at 87%, followed by Support Vector Classifier at 84%. Additionally, this research proposes an AI-enhanced education model to foster self-sustainable engineering education, ensuring equitable learning opportunities worldwide.
Keywords	AI in education, self-sustainable learning, online learning adaptability, deep learning models, education framework.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-08
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.41086
Short DOI	https://doi.org/g9fb8f

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International Journal For Multidisciplinary Research