ERIC Number: EJ1266271
Record Type: Journal
Publication Date: 2020-Sep
Pages: 21
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: N/A
Adoption of Artificial Intelligence in Higher Education: A Quantitative Analysis Using Structural Equation Modelling
Chatterjee, Sheshadri; Bhattacharjee, Kalyan Kumar
Education and Information Technologies, v25 n5 p3443-3463 Sep 2020
Emergence of the use and application of Artificial Intelligence (AI) in higher education in India has opened new possibilities and challenges. Use of AI in will bring in effective change of governance in the entire internal architecture of Indian Institutes of higher education. The prospect of use of AI includes investigation of educational implications as to how teachers would enrich them, how students would learn, and how accurate and prompt decisions can be taken in the institutes of higher education. This is important since the workload has been multiplied due to massification of higher education. Such being the scenario, help of AI is highly essential. The question of adoption of AI in higher education is an important issue in this perspective. The purpose of this study is to explore how the stakeholders would be able to adopt it. For this, we have taken help of many adoption theories and models including 'Unified Theory of Acceptance and Use of Technology' (UTAUT) model. We have developed hypotheses and a conceptual model and got it validated through survey with the help of feedbacks from useable 329 respondents. It has been found that the model can help the authorities to facilitate adoption of AI in higher education.
Descriptors: Artificial Intelligence, Higher Education, Foreign Countries, Technology Uses in Education, Adoption (Ideas), Stakeholders
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: India
Grant or Contract Numbers: N/A