A Systematic Review of Intelligent Systems: Enhancing Education and Career Development through Personalized Learning and Automated Assessment

Abstract

E-learning and intelligent systems have become critical in modern education, especially with recent global shifts towards online learning. This paper surveys multiple recent advances including personalized e-mentoring, agent-based search models, automated programming assessment systems, AI-driven career guidance frameworks, recommender systems for academic advising, and interview preparation platforms. Key challenges, methodologies, and experimental results are summarized to inform future developments.