AN APPLICATION AND IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE ON LEARNING AND TEACHING IN HIGHER EDUCATION: A SYSTEMATIC REVIEW
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Abstract
Generative artificial intelligence is a revolutionary force in the rapid technological advancement. It attributes to a shift in human lifestyle in various facets and has influenced several industries including education. In this context, higher education must face educational challenges in the era which the access to generative artificial intelligence tools is pervasive. Therefore, it is crucial and necessary to have comprehensive knowledge and understanding on the application and impact of generative artificial intelligence on learning and teaching in higher education. To this end, this systematic review examined empirical research studies by analyzing and synthesizing 44 out of 550 selected articles and publications during 2019–2023 based on PRISMA principle. The results unveiled eight distinctive applications of generative artificial intelligence in higher education learning and teaching including creation, texts, images, sound, music, video, 3D models, coding, and others. This substantiated that there was the usage of generative artificial intelligence in both learning and teaching. Furthermore, it elucidated the impacts of incorporating generative artificial intelligence in higher education, shedding light on its effects on students, teachers, management educators, institutes, and at the national and international levels. This systematic review contributes to an enhanced understanding of the application and impact of integrating generative artificial intelligence in higher education.
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