Transforming Emotional Intelligence in the Digital Age: AI Applications for Gen Z and Millennials

Purpose: This paper proposes a novel Artificial Intelligence (AI)-driven model to enhance Emotional Intelligence (EI) among Generation Z (Gen Z), aiming to improve their emotional adaptability in academic, professional, and social environments. Design/Methodology/Approach: A mixed-method research design was employed, comprising quantitative surveys using qualitative semi-structured interviews. Findings: Preliminary results indicate that AI can effectively assess and enhance EI competencies, especially empathy, emotional regulation, and social skills, within Gen Z. Post-intervention results indicated a notable enhancement in Emotional Intelligence scores among the experimental participants. Research Limitations/Implications: The study is limited by its reliance on secondary data and sample representativeness. Long-term effectiveness and generalizability require further research. Practical Implications: The AI-based model can be deployed in educational institutions and workplace settings to support Gen Z’s emotional development. Originality/Value: This research is among the first to propose a comprehensive AIpowered EI enhancement model tailored specifically for the digital-native Gen Z cohort.

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Publication Details

Journal
Allana management journal of research.
Published
2025-01-01
DOI
https://doi.org/10.62223/amjr.2025.150203
Primary Topic
Generational Differences and Trends
Type
article
Field-Weighted Citation Impact
0.00
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article

Transforming Emotional Intelligence in the Digital Age: AI Applications for Gen Z and Millennials

Shagufta Sayyed, P. A. Inamda
Allana management journal of research.
Generational Differences and Trends
article

Transforming Emotional Intelligence in the Digital Age: AI Applications for Gen Z and Millennials

Shagufta Sayyed, P. A. Inamda
article en

Abstract

Purpose: This paper proposes a novel Artificial Intelligence (AI)-driven model to enhance Emotional Intelligence (EI) among Generation Z (Gen Z), aiming to improve their emotional adaptability in academic, professional, and social environments. Design/Methodology/Approach: A mixed-method research design was employed, comprising quantitative surveys using qualitative semi-structured interviews. Findings: Preliminary results indicate that AI can effectively assess and enhance EI competencies, especially empathy, emotional regulation, and social skills, within Gen Z. Post-intervention results indicated a notable enhancement in Emotional Intelligence scores among the experimental participants. Research Limitations/Implications: The study is limited by its reliance on secondary data and sample representativeness. Long-term effectiveness and generalizability require further research. Practical Implications: The AI-based model can be deployed in educational institutions and workplace settings to support Gen Z’s emotional development. Originality/Value: This research is among the first to propose a comprehensive AIpowered EI enhancement model tailored specifically for the digital-native Gen Z cohort.

Allana management journal of research.Vol. 15(02)
Automation, Information, and Management Systems (United States) (US)
Openalex Percentile: Top 73%
Generational Differences and Trends
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Transforming Emotional Intelligence in the Digital Age: AI Applications for Gen Z and Millennials — Shagufta Sayyed, P. A. Inamda · Allana management journal of research. (2025) | TGRS Research Map | TGRS