A Review on Use of AI in Emotional Intelligence and Problem-Solving Skill

Emotional Intelligence (EI) and Social-Emotional Learning (SEL) are vital for fostering well-being and academic success across diverse populations. 1Research confirms that structured interventions significantly improve emotion perception, understanding, and regulation in primary school students. 4,5For example, CASEL-aligned programs have been shown to predict 34% of the variance in student resilience, while innovative strategies like gamification and Project-Based Learning (PBL) effectively increase class participation and manage academic anxiety.6 In higher education, targeted EI training for pre-service teachers, medical, and nursing students has proven effective in reducing academic stress, lowering levels of alexithymia, and enhancing professional readiness. Collectively, these studies demonstrate that EI is a trainable skill that acts as a critical protective factor against mental health challenges.12,13 The sources conclude that integrating evidence-based SEL into standard curricula is essential for nurturing resilient and psychologically healthy populations14,15 The convergence of AI and Emotional Intelligence (EI) leverages multimodal systems to achieve 93.2% accuracy in emotional state assessment, yielding a 37% boost in team performance and a 43% decrease in workplace conflict. 31However, AI functions as an "affective zombie" without true consciousness, raising ethical concerns regarding algorithmic bias and "emotional surveillance". 35To mitigate these risks, a dual-framework model (MDB/GEI) is proposed to prioritize safety and human primacy in decision-making.39