Artificial Intelligence Powered Personalization: Tailoring Content in E-Learning for Diverse Audiences

Abstract

In the twenty first century instructors engage their learners through machine learning. Schools use machines such as C3 server to generate lesson plans and study guides for the various subjects, Chatbots to engage in discussions. The information in these machines are generated from time to time so that the information remains up dated and always up to the standard. To investigate the effectiveness of the use of robots in learning and imparting information to learners, the researcher used five groups from different schools. Qualitative research was used to conduct the study. The researcher used purposive sampling to select the participant from different learners in schools from KwaZulu Natal Province. Semi-structured interviews were used to extract the information from different groups. Collected data was coded into themes. Research findings have revealed that with the rapid emergence of artificial intelligence, learners tend to be critical thinkers and problem solves more especially when it comes to coding and robotics. Through machine learning teachers tend to finish their syllabus early and learners tend to get good grades.