Using Artificial Intelligence for Teaching at Higher Education Institutes and Universities: A Theoretical Analysis and Future Direction

Abstract

Professional and higher education have expanded their spheres of impact as a result of the influx of numerous technologies into the EdTech sector. The ways in which student education programmes are conducted have changed, and the concept of a virtual classroom has evolved as a result of these changes. A learner in today's world looks forward to individualise learning since they have access to a variety of learning resources. Education has been evolved to include more hands-on activities and experiential learning. When it comes to immersive and personalised learning, Artificial Intelligence - AI is critical for any university or institution to adopt it. As universities build more and more programmes for students coming from a variety of backgrounds, it becomes increasingly important that the course communicates the desired knowledge while also taking into consideration the students' learning potential and capacity, and the learning outcomes. The objective of this study is to explore the work related to the impact of artificial intelligence on the digitisation of academic programmes. The research will demonstrate how artificial intelligence will serve as an inescapable link between traditional classroom education and the programmes and courses offered by universities through digital media. The qualitative nature of the research will primarily focus in reviewing the papers and work, observation and the outcomes reacted to AI in Education space. While a Meta analysis is undertaken, the work also serve as a foundation for the implementation and modification of non-professional and skilled training initiatives at smaller institutes in the near future.