QUANTITATIVE ASSESSMENT OF ARTIFICIAL INTELLIGENCE INTEGRATION IN HIGHER EDUCATION: A STRUCTURAL EQUATION MODELING STUDY

Authors

  • Dr. Nilesh Jain, Dr. Hemant N. Patel

Keywords:

Artificial Intelligence (AI,) Higher Education, Governance ,Adoption Theories, Unified Theory of Acceptance and Use of Technology (UTAUT)

Abstract

The use of Artificial Intelligence (AI) in higher education in India has brought up new opportunities as well as difficulties. The implementation of AI is expected to result in substantial alterations to the governance framework of Indian higher education institutions. The potential applications of AI cover the exploration of educational consequences, including the enhancement of teaching methods, the acquisition of knowledge by students, and the facilitation of timely and accurate decision-making within educational institutions. This is especially critical because of the heightened workload stemming from the extensive growth of higher education. In light of this situation, the utilisation of AI is considered extremely necessary. The integration of artificial intelligence (AI) in higher education is a crucial matter in tackling these difficulties. The objective of this study is to explore the optimal methods by which stakeholders can successfully adopt and incorporate artificial intelligence (AI). In order to accomplish this, a range of adoption theories and models, such as the 'Unified Theory of Acceptance and Use of Technology' (UTAUT) model, have been utilised. The study formulates assumptions and constructs a conceptual model, which is subsequently verified using a survey of 329 participants. The results suggest that the suggested model can be a beneficial instrument for authorities to promote the effective implementation of AI in higher education.

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Published

2024-02-20

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Articles