Application of brain neural network in personalized English education system

Abstract

This paper aims to rectify the various deficiencies of the traditional teaching models. To this end, the memorization of English words was cited as a case to simulate the English word learning system, and a brain neural network (BNN) was built to analyse the learner's forgetting curve. Then, the learning content was customized according to the curve, aiming to achieve the goal of the personalized education system (PES). Finally, the proposed model was validated through an experiment, which reveals that the forgetting curve generated by the BNN adapt to the learner's memory pattern better than the Ebbinghaus memory curve. Compared with the traditional education models, the new model includes the profiles and natures of the learner, making the teaching more fruitful and scientific. Thanks to the BNN and computer technology, the PES in the proposed system is highly flexible and cost-effective, shedding new light on the popularization of personalized education.