Smart Mechanism for Assessment of Basic Schooling Systems in Developing Countries Using Data Mining Models

Abstract

The research highlights an aspect of the current education system, aiming to review and address criticized educational difficulties while proposing resolutions. The study underlines the significant relationship between action and development, highlighting the diverse school policies derived from different time intervals, regimes, and political objectives to cope with educational challenges. The main findings are related to data mining strategies in the school environment using information technology on a college dataset. The study explores the demonstration of useful latent performance metrics and detects extreme, significant, and insightful classes from unstructured information gathered during the monitoring process. The solutions are presented to enhance the expertise of current schooling infrastructure by providing immediate guidelines for policymakers.