Leveraging Explainable AI Methods and Tools for Educational Data

Artificial Intelligence (AI) has become an integral part of our lives, and Explainable Artificial Intelligence (XAI) is becoming more essential to ensure trustworthiness and comply with regulations. XAI methodologies help to explain the automatic processing behind data analysis. This paper provides an overview of the use of XAI in the educational domain. Specifically, it analyzes some of the most commonly used XAI tools, emphasizing their characteristics to help users choose the most suitable one. Additionally, two case studies have been analyzed to demonstrate how to use XAI tools in the educational domain by exploiting a subset of the Open University dataset.