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VOL. 7, ISSUE 5 (2025)
Future of academic work: Redefining job satisfaction in the age of AI and Automation
Authors
Arzoo Rana, Pratibha Raj
Abstract
The rise of artificial intelligence (AI) and
automation is transforming the structure, meaning, and satisfaction of academic
work. Universities are increasingly adopting digital systems for teaching,
research, and administration, reshaping traditional notions of autonomy,
collegiality, and professional identity. In India, the National Education
Policy (NEP) 2020 and University Grants Commission (UGC) reforms emphasize
technology enabled higher education through digital universities and online
learning platforms. While AI can enhance efficiency and reduce routine
workload, it also introduces challenges related to job security, technostress,
and algorithmic control. This review examines how AI-driven transitions
influence academic job satisfaction within Indian higher education, focusing on
five emerging dimensions-digital autonomy, augmented competence, relational
belonging, ethical security, and meaningful impact. Drawing on recent policy
developments and global trends, it argues for a human-centered approach to
technology adoption that prioritizes teacher well-being, ethical governance,
and institutional trust. The future of academic work will depend on how
effectively institutions balance innovation with the preservation of academic
values and purpose.
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Pages:109-114
How to cite this article:
Arzoo Rana, Pratibha Raj "Future of academic work: Redefining job satisfaction in the age of AI and Automation". International Journal of Social Science and Humanities, Vol 7, Issue 5, 2025, Pages 109-114
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