A Comprehensive Machine Learning Framework for Personality-Aware Higher Education Recommendation Using Psychometric and Predictive Modeling

This work proposes a personality-aware higher education recommendation system that integrates psychometric modeling with machine learning techniques. By leveraging the Big Five personality traits and supervised classification models, the framework generates personalized academic domain suggestions. The study highlights the potential of AI-driven systems in improving decision-making processes in education and reducing career mismatches.