INTEGRATING EMOTIONAL INTELLIGENCE AND AI-DRIVEN LEARNING IN HIGHER EDUCATION: IMPLICATIONS FOR STUDENT WELL-BEING AND UNIVERSITY HR POLICIES

Abstract

The use of emotional intelligence (EI) and artificial intelligence (AI)-based learning technologies has the potential to improve student well-being and academic performance in higher education. This paper reviews existing studies and theories about emotional intelligence, AI learning systems, and their integration in universities. It shows that students with higher emotional intelligence tend to perform better academically, experience less stress and anxiety, and build stronger relationships. These skills are important for both short-term academic success and long-term personal and professional growth. AI-based learning tools, such as adaptive learning systems, intelligent tutoring, and predictive analytics, help personalize learning and provide real-time feedback. However, there is a gap in research: few universities have developed systems that combine emotional intelligence development with AI technologies while also updating human resource policies to support both faculty and student well-being. This review explores the key theories behind emotional intelligence, highlights the AI learning tools used in universities, and discusses the human resource policies needed to better integrate these technologies. The paper ends with practical suggestions for university leaders and HR professionals on creating technology-supported learning systems that focus on both emotional intelligence and academic success. This approach will help students grow and thrive during their time at university and beyond.