AI-SMART LEARN PERSONALISED LEARNING

Abstract: With the rapid growth of digital education, the need for personalized learning has become increasingly important. Traditional learning systems often follow a uniform approach that does not consider individual differences in students’ abilities, preferences, and learning pace. This can result in reduced engagement and ineffective learning. To address this issue, this project proposes an AI based Personalized Learning Recommendation System that delivers customized educational content based on individual student characteristics. The system aims to provide a tailored learning experience by analyzing key factors such as available study hours, focus capability, learning speed, and preferred learning modes, including videos, quizzes, and articles. By processing this information, the system creates a unique learning profile for each student, which forms the basis for generating personalized recommendations. At the core of the system is an AI-driven analysis engine that evaluates student performance and learning behavior. It identifies strengths and weaknesses, predicts learning needs, and suggests suitable study strategies. The system continuously updates its recommendations based on the student’s progress, ensuring adaptability and effectiveness. Based on this analysis, the system recommends appropriate learning resources aligned with the student’s preferences. For example, visual learners may receive video content, while others may benefit from quizzes or reading materials. This improves understanding and retention of concepts. In addition to resource recommendations, the system generates personalized study plans according to the student’s available time and learning capacity. These plans are flexible and adapt as the student progresses, helping maintain consistency and organization. The system also assigns targeted learning tasks to improve weak areas and reinforce key concepts. Regular feedback and performance tracking enable students to monitor their progress and stay motivated. Furthermore, the system ensures efficient use of study time by focusing more on difficult topics and less on already mastered content. This leads to improved academic performance and better time management. In conclusion, the AI-based Personalized Learning Recommendation System provides a smart and effective solution for modern education. By leveraging artificial intelligence, it delivers personalized content, adaptive study plans, and targeted tasks that improve learning efficiency and outcomes

Keywords: Artificial Intelligence, Personalized Learning, Recommendation System, Adaptive Learning, E-Learning