Leveraging 5G and AI Technologies to Enhance Real-Time English Language Learning

Abstract

The integration of 5G and Artificial Intelligence (AI) technologies offers a powerful opportunity to revolutionize real-time English language learning by enabling faster, more responsive, and personalized educational experiences. These limitations hinder learner engagement and reduce the overall effectiveness of language acquisition, particularly in real-time communication scenarios. To overcome these challenges, this paper proposes a novel framework called the Smart Real-Time Language Enhancement System (SRLES). This framework integrates 5G-enabled connectivity with AI-driven tools such as speech recognition, natural language processing (NLP), and real-time error detection. The SRLES framework employs deep learning models, particularly recurrent and transformer-based architectures, for speech recognition and adaptive feedback. These are sometimes integrated with rule-based components for contextual fine-tuning, forming a hybrid approach. Experimental implementation of SRLES showed a significant improvement in learner outcomes, including a 30% increase in real-time communication accuracy and a 40% boost in learner retention rates. Additionally, users reported greater satisfaction and confidence in speaking skills. These results highlight the effectiveness of combining 5G and AI in creating an adaptive, efficient, and engaging English language learning environment. The 93.43% learner retention rate and 96.25% communication accuracy were measured over a 12-week period using a dataset of 120 participants across diverse age groups and educational backgrounds. Metrics were derived from usage logs, interaction success rates, and follow-up assessments.