Year: 2025
Type: article
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.
Author: Latha Ramamoorthy
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409394589