Artificial Intelligence Reshaping Research, Innovation, and Collaboration in Higher Education: A Data-Based Analysis
The use of Artificial Intelligence (AI) in higher education has revolutionized conventional academic practices, especially in research, innovation, and collaboration. This study sought to examine the degree to which AI tools and technologies impact research productivity, stimulate academic innovation, and enhance collaborative practices among educators and researchers. A total of 225 respondents from diverse higher education institutions in India, including teaching members, research researchers, and postgraduate students, participated in the study. A structured questionnaire was used, consisting of demographic characteristics and 23 quantitative questions categorized into four sections: AI in research practices, AI and academic innovation, AI-enhanced collaboration, and attitudes and ethical issues around AI usage. The data analysis indicated that a substantial majority of respondents recognized AI's beneficial impact on expediting data analysis, literature reviews, research design, and publishing methods. Participants emphasized the transformative capacity of AI in promoting interdisciplinary collaboration through shared platforms and intelligent automation. The results provide a framework for higher education leaders and policymakers to strategically use AI to improve academic performance, foster innovation, and boost collaboration.
Authors
- Shilpa Gaidhani
- Reena Lenka
- Namita Chawla
- Prajakta B Deshmukh
- Girish Gopalakrishnan
- Cyril Crasto
- Prof. Dr. Amey Adinath Choudhari
Institutions
- Symbiosis International University (IN)
- Joshi Hospital (IN)
- Sri Balaji Vidyapeeth University (IN)
- Indian Numismatic, Historical and Cultural Research Foundation (IN)
- Savitribai Phule Pune University (IN)
Publication Details
- Journal
- International Journal of Accounting and Economics Studies
- Published
- 2025-10-03
- DOI
- https://doi.org/10.14419/ewdxjg17
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00