AI Skill Assessment and Learning Path Generator

The rapid evolution of digital education technologies has transformed traditional teaching and learning practices into highly interactive and technology-driven ecosystems. However, despite the availability of massive open online courses, e-learning platforms, and digital certification programs, most systems continue to follow a generalized content delivery approach that does not adapt to individual learner needs[1]. This lack of personalization often results in reduced learner engagement, inefficient knowledge acquisition, and poor skill mastery. To address these limitations, this paper proposes an AI Skill Assessment and Learning path Generator that integrates artificial intelligence, machine learning and learning analytics to evaluate learner competency and generate adaptive learning pathways. The proposed system conducts intelligent skill assessment, analyses learner performance metrics, and applies predictive modelling techniques to classify proficiency levels[4]. Based on identified skill gaps, a recommendation engine dynamically generates structured and personalized learning paths aligned with prerequisite dependencies and industry skill standards[5]. The framework supports continuous reassessment, ensuring improved learning efficiency, accurate skill classification, and higher learner satisfaction compared to static learning systems.