Artificial Intelligence Reshaping Research, Innovation, and Collaboration in Higher Education: A Data-Based Analysis
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https://doi.org/10.14419/ewdxjg17
Received date: August 11, 2025
Accepted date: September 21, 2025
Published date: October 3, 2025
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Artificial Intelligence; Higher Education; Research Innovation; Academic Collaboration; Educational Technology; AI Ethics -
Abstract
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.
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How to Cite
Choudhari, P. D. A. A. . ., Chawla , D. N. ., Lenka, R. (Mahapatra) ., Gopalakrishnan, D. G. ., Crasto, D. C. ., Deshmukh , D. P. B. ., & Gaidhani, D. S. . (2025). Artificial Intelligence Reshaping Research, Innovation, and Collaboration in Higher Education: A Data-Based Analysis. International Journal of Accounting and Economics Studies, 12(6), 89-99. https://doi.org/10.14419/ewdxjg17
