AI IN THE EDUCATION SECTOR: REDUCING ADMINISTRATIVE BURDEN TO IMPROVE WORK-LIFE BALANCE

Authors

  • Maitary Kumari Mahto Gujarat Technological University Author
  • Dr. ChetanKumar J Lad Naranlala School of Industrial Management & Computer Science Author

Keywords:

Artificial Intelligence (AI), Education Sector, Administrative Tasks, Work-Life Balance, Perceived Effectiveness

Abstract

The integration of Artificial Intelligence (AI) in the education sector has opened new avenues for streamlining administrative tasks, offering the potential to alleviate workload pressures and enhance the work-life balance of educators. This study investigates how AI-driven tools are perceived and utilized by educational professionals to reduce administrative burdens, and how such interventions influence their overall well-being and work-life integration. A structured survey was administered to a sample of 142 educators from diverse educational institutions, assessing awareness, usage, perceived effectiveness, and attitudes towards AI in administrative settings.

Quantitative analysis was conducted using descriptive statistics, Spearman’s correlation, and Chi-square tests. Findings revealed that 100% of respondents were aware of AI applications, with the majority using them regularly for administrative tasks. Perceived effectiveness was high, with over 70% agreeing that AI reduced time and mental fatigue. A strong, statistically significant positive correlation (ρ = 0.867, p < 0.01) was found between perceived AI effectiveness and educators’ work-life balance, indicating that those who find AI beneficial experience better work-life integration. Chi-square tests showed no significant association between attitudes toward AI and demographic factors such as gender and type of institution, though a linear trend by gender suggested nuanced differences.

The study provides data-driven insights to inform institutional strategies for AI adoption. that not only improve operational efficiency but also prioritize educator well-being.

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Published

2025-12-03

Issue

Section

Articles