ARTIFICIAL INTELLIGENCE IN E-LEARNING

Machine learning (ML), artificial intelligence (AI), and deep learning (DL) are the key drivers of the transformation and revolution of the existing ways through which individuals acquire knowledge: new new trends. They provide space to top up with what has been learned over a specific knowledge period, thereby providing a means through which some problem the students don’t understanding. TEM employs the same instruction format to all students, whereas ML and DL offer greater flexibility and creativity in learning to the students. E-learning, especially after the pandemic, falls short in delivering quality education, measuring performance, and career counsellings planning. This paper presents an overview of the significance of ML in e-learning from the integration of observations. According to a collection of papers in (a) learning analysis tools, (b) original sources of data, and (c) coverage of data. This systematic review will provide answers to suitable research questions and inform future studies in the field.