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@article{189273,
        author = {Amal Sankar Mukherjee},
        title = {The Impact of Emotional AI-Driven Interventions on Students’ Socio-Emotional Learning Outcomes at the Secondary Level},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {5556-5559},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189273},
        abstract = {This study investigates the impact of Emotional AI (EAI) interventions on socio-emotional learning (SEL) among secondary school students. Using a quasi-experimental pretest–posttest design with a control group (N=200), the research compared students receiving EAI-driven activities with those taught through traditional methods. Data were collected through a standardized SEL competency scale and engagement metrics from AI tools. Results showed significantly higher SEL gains in the experimental group (d = 2.38, p < .001) compared to the control group (d = 0.68, p < .001). Regression analysis indicated that both group membership and engagement with AI tools significantly predicted posttest SEL scores (R² = .50). The findings highlight Emotional AI’s potential to enhance SEL in educational settings, while underscoring the importance of responsible integration.},
        keywords = {Emotional AI; Socio-Emotional Learning (SEL); Secondary Education; Student Engagement; Educational Technology; Quantitative Study},
        month = {December},
        }