INNOVATIVE INTEGRATION OF COMPUTER NETWORK TECHNOLOGY IN MODERN EDUCATIONAL SYSTEMS

Abstract

A novel educational system has been created that uses the Radial Basis Function (RBF) algorithm to overcome the limitations of traditional classroom environments, which often include standardised material and fixed teaching methods. This research begins by assessing the most recent developments in interactive intelligent education systems. The advancement is made by investigating the combination of artificial intelligence and interactive teaching methods, creating a model based on neurons, and using the RBF algorithm to personalize instructional approaches and promote a self-directed learning platform. Empirical evidence consistently shows that instructional effectiveness improves as learners progress, validating the system's suitability. This novel methodology revolutionizes conventional educational methods, enhances learner proficiency, increases instructional effectiveness, and cultivates a more vibrant and engaging learning environment for pupils.