Redefining Teaching and Learning Practices in the Post-Covid-19 Pandemic Era

In the 21st century, present-day organisations require individuals that possess novel competences and abilities in order to effectively address the problems posed by the digital transition in modern society. Artificial Intelligence technology have become pervasive in several domains of contemporary society, encompassing education, healthcare, economics, governance, transportation, communication, and numerous other industries. The rapid increase of data produced by transactional systems, widespread sensors, and the Internet of Things necessitates innovative methods for extracting information and knowledge from data to facilitate informed decision-making. The increasing demand for experts with new capabilities arises from the necessity to create software that can effectively learn from data in order to manage mobile devices like autonomous cars and robots, conduct surgical procedures, optimise urban traffic, and facilitate interactive design and manufacturing processes for novel goods. The aforementioned issues are pervasive throughout society and necessitate the development of solutions aimed at educating experts. This is a matter that is extensively examined within the interdisciplinary domains of artificial intelligence and society at large. This paper sets forth a comprehensive review of the latest developments in artificial intelligence within the context of education. The aim is to assist higher education institutions in developing curricula that can equip graduates with the critical skills to meet the demands of the present-day job marketplace, commonly known as Industry 5.0.