Abstract
Education serves as the foundation for national development. In an era driven by technological advancements, the integration of artificial intelligence (AI) into education can enhance adaptability, accessibility, and sustainability. This study investigates online learning adaptability in universities and colleges by employing four deep learning algorithms and twelve key parameters. The comparative analysis of these algorithms classifies students into three adaptability categories. Furthermore, a self-sustaining education model tailored for engineering disciplines is proposed to address learning challenges and enhance employability.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
AI, Educational Model, Self-Sustainability, Online Learning, Adaptability
