Exploring the Integration of AI for Social-Emotional Learning: A Psychological, Technological, and Educational Approach

Abstract

This research focused on how artificial intelligence (AI) has been implemented in social-emotional learning (SEL) and how it influenced emotional well-being and academic performance among Punjab, Pakistan-based university teachers. A quantitative design was employed with a random sampling approach to gather data from 271 participants. The research verified that AI-driven SEL technologies significantly impact emotional well-being by delivering customized support to students and making real-time emotional interventions through AI systems. Correlation analysis indicated a strong positive correlation between AI integration and emotional well-being, and regression analysis identified AI's significant impact on emotional support outcomes. Besides, analysis using ANOVA also reaffirmed the presence of significant performance differences in AI-based SEL instruments across demographic characteristics like teaching background and university category. The paper highlights the need for culturally relevant, ethically driven AI mechanisms that enable humans to interact freely, thereby equipping the teaching environment with an even emotional support system. The findings suggest that AI-driven SEL tools can effectively encourage a more emotionally supportive classroom culture, provided that ethical concerns, such as privacy and emotional authenticity, are considered.