English language speaking assessment tests and evaluations, incorporating AI innovative methods

Abstract

This study presents an AI-powered speaking assessment system that evaluates English language speaking skills using automated speech recognition, natural language processing, and machine learning algorithms. The system assesses pronunciation, fluency, grammar, and vocabulary, providing instant feedback and personalized assessment reports. This paper describes the development of a virtual assessor for English speaking skills, leveraging AI and machine learning techniques. The virtual assessor engages in conversations with candidates, evaluating their speaking skills in real-time. The system provides accurate and consistent assessment results, reducing human bias and increasing efficiency. This pilot study explores the use of AI-driven metrics for English speaking assessment, including pronunciation accuracy, fluency, grammar, and vocabulary. The study investigates the reliability and validity of these metrics, providing insights into the development of AI-powered speaking assessment systems.