Research on Computer Aided Learning System Based On Reinforcement Learning Algorithm

Abstract

In today's information-based education era, the computer-aided instruction system under the background of "Internet +" is ushering in unprecedented development opportunities. Based on VARK model, this paper discusses the design and implementation of computer-aided instruction system based on reinforcement learning algorithm. Through in-depth investigation of the application status of computer-aided instruction system and the characteristics of popular systems at home and abroad, combined with the principle and application of reinforcement learning algorithm, this study builds a system architecture with personalized education evaluation function. In the aspect of system design, with the help of neural network model and online test module, the study realizes intelligent analysis and evaluation of students' learning patterns, and improves the pertinence and effect of teaching. Through strict functional and performance tests, the stability and reliability of the system are verified, and the network and intelligent characteristics of the system are demonstrated in the learning process of students, which makes a positive contribution to the improvement of the level of education information and the optimization of teaching effect.