Implementation of Reinforcement Learning Algorithm in the Development of English Language Learning Skills

Abstract

Given the increasing importance of English proficiency in today’s globalized world, this study introduces an innovative approach to learning the language. Recognizing the complexities of language acquisition, the research proposes a novel method that combines recent advancements in reinforcement learning algorithms with educational knowledge to create a flexible and adaptive learning environment. This methodology charts a personalized learning path by thoroughly evaluating students’ reading, listening, and observational skills. By meticulously developing an application based on the suggested technique, 50 participants engaged in a practical application that utilized reinforcement learning algorithms to evaluate student performance and identify individual strengths. The continuous effectiveness assessments demonstrate the model’s resounding success, with an impressive 98% course completion rate and 97% accuracy. The platform aims to enhance cross-linguistic abilities, such as critical thinking and effective communication, alongside traditional language proficiency. This method empowers students globally by seamlessly integrating cutting-edge technology with pedagogical insights, offering a tailored and dynamic learning environment to help students thrive in the evolving educational landscape of the 21st century.