Design of an AI-Driven Personalized English Learning System Using Machine Learning Algorithms
Abstract
This research explores the design and development of an AI-Driven Personalized English Learning System (AIP-ELS) that applies Artificial Intelligence (AI) and Machine Learning (ML) techniques to improve the effectiveness of English language education. Conventional English learning methods generally provide the same instructional materials and activities to all learners, regardless of their individual abilities, learning speed, interests, or performance levels. As a result, many learners experience difficulties in maintaining engagement and achieving consistent progress. To overcome these limitations, the proposed system introduces a personalized learning environment that adapts educational content and learning strategies according to each learner’s needs. The system combines Natural Language Processing (NLP), learner behavior analysis, and intelligent recommendation algorithms to monitor learner performance and provide customized lessons, exercises, assessments, and feedback. By analyzing data such as vocabulary usage, grammar accuracy, response time, and speaking performance, the platform continuously updates individualized learning pathways to support efficient skill development. The adaptive framework also encourages active participation and motivation by delivering content that matches the learner’s proficiency level and learning preferences. An experimental evaluation was conducted to compare the proposed system with traditional e-learning approaches. The results show that learners using the AI-driven platform achieved noticeable improvements in vocabulary acquisition, grammatical accuracy, speaking proficiency, and overall engagement. In addition, users reported higher satisfaction due to the personalized learning experience and real-time feedback mechanisms. The study demonstrates that AI-based personalization can significantly enhance English language learning and contribute to the development of scalable, intelligent and data-driven educational systems for diverse learning communities.
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