Paper Details

AI, or artificial intelligence, refers to the process of using computers and other technologies to make them smarter than people and to assist them in solving problems that they encounter on a daily basis. Some examples of artificial intelligence technologies are machine learning and deep learning. These technologies make use of algorithms to improve their ability to predict future events without the assistance of a human being. Explainable Artificial Intelligence, often known as XAI, is a sort of artificial intelligence that is capable of explaining to humans the reasoning behind a decision or a prediction that it has made. When it comes to crucial duties like security, healthcare, or money, the objective of XAI is to make artificial intelligence systems more open, trustworthy, and accountable. This is especially important when these systems are employed. Within the scope of this essay, an orderly evaluation of the literature on XAI methodologies that can be applied in a variety of contexts, particularly within the education sector, is presented. The purpose of this study is to initiate a comprehensive investigation of XAI in the field of education, with the goal of examining its significance, potential applications. This will be accomplished by examining the current situation as well as possible future advances of XAI in education. We believe that our systematic review contributes to the existing body of research on XAI by pointing the way for additional research to be conducted in this field.

Artificial Intelligence, Machine learning, Deep learning, Explanation, Explainable Artificial Intelligence, student performance