Adoption of Artificial Intelligence in Higher Education: A Quantitative Analysis Using Structural Equation Modelling

Autor/inn/en	Chatterjee, Sheshadri; Bhattacharjee, Kalyan Kumar
Titel	Adoption of Artificial Intelligence in Higher Education: A Quantitative Analysis Using Structural Equation Modelling
Quelle	In: Education and Information Technologies, 25 (2020) 5, S.3443-3463 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-020-10159-7
Schlagwörter	Artificial Intelligence; Higher Education; Foreign Countries; Technology Uses in Education; Adoption (Ideas); Stakeholders; India + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Hochschulbildung; Hochschulsystem; Hochschulwesen; Ausland; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Ideas; Ideenfindung; Indien
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01