Artificial Intelligence in Higher Education during and After the COVID-19 Pandemic: Need, Transition and Transformation

Abstract

The aim of this article focuses on the achievements and challenges of the application of AI (artificial intelligence) based technologies in the field of higher education. Articles on AI-based technologies and their relationship with higher education have been collected from databases such as WOS, Scopus, ProQuest, Ebsco and PudMed. It oriented the analysis to provide the various contributions about technologies, methodologies, processes and learning contexts based on AI that have been emerging during the crisis caused by the Covid-19 pandemic in the university context. This article focuses on the achievements and challenges of the application of AI based technologies in the field of higher education, and we provide a series of relevant data, examples and explicit studies on the titanic potential of AI in its adaptation to higher education, emphasising crucial aspects of the application of new technologies and their aspects in the current scenario.