Design and Application of Computer Basic Education Network Platform Based on GABP Algorithm

Abstract

With the widespread application of computer and network technology in education, education has entered the fast lane of information technology development. Education network platforms provide various information services for education and teaching, playing an increasingly important role in current education informatization. The design and application of a computer basic education network platform based on the Gabp algorithm is an innovative method to improve students’ computer literacy. The Gabp algorithm represents gradient adaptive backpropagation and is a machine learning technique that has been used in various fields such as image recognition and speech processing. The platform aims to provide students with an interactive and engaging learning experience by integrating multimedia elements such as videos, animations, and interactive quizzes. The Gabp algorithm is used to personalize each student’s learning experience based on their personal progress and performance. The application of this platform may benefit schools, colleges, and universities where computer literacy is crucial. It can also be used in online learning environments to provide accessible education for individuals who may not be able to use traditional classroom environments. Overall, the design and application of a computer basic education network platform based on the Gabp algorithm may completely change the way we teach computer skills and improve students’ digital literacy.