AI-GENERATED PERSONALIZED LEARNING PATH BUILDING

Abstract

The AI-Generated Personalized Learning Path Building system is an intelligent educational platform designed to create customized learning paths according to the individual needs, knowledge level, interests, and learning goals of users. Traditional learning platforms generally provide the same course structure to all learners, even though students may have different backgrounds, abilities, and learning speeds. The proposed system uses Artificial Intelligence to overcome this limitation by generating a learning path specifically for each learner. The system collects information such as the learner's current knowledge, preferred subject, learning objectives, available study time, and skill level. It analyzes this information using Artificial Intelligence and Natural Language Processing techniques to understand the learner's requirements. The system can also consider quiz results, completed courses, assessment scores, and learning progress to determine the learner's strengths and weaknesses. Based on the collected information, the AI creates a structured sequence of topics, courses, lessons, practical exercises, quizzes, and learning resources. Basic concepts are recommended first when the learner has knowledge gaps, while advanced topics are suggested when the learner demonstrates sufficient understanding. The learning path can therefore change dynamically as the learner progresses. The system continuously monitors learner performance and updates the recommended learning path. If a learner performs poorly in a particular topic, the system can recommend revision materials, simpler explanations, or additional practice. If the learner performs well, the system can suggest more advanced topics and challenges. This adaptive approach helps learners follow a more effective and personalized learning journey. Overall, the proposed system aims to make education more personalized, flexible, adaptive, and learner-centered. It can be useful for students, professionals, online learning platforms, educational institutions, and corporate training programs. Future enhancements can include AI tutors, multilingual learning paths, skill-gap prediction, real-time recommendations, multimedia content generation, and integration with Learning Management Systems.