The world is changing at rapid rhythm, the rise of digital technologies such as big data, artificial intelligence, simulation… is creating drastic innovations and new opportunities for learning and development. This is leading to the 4th industrial revolution known as Industry 4.0, which is hugely changing the world of work. As a result, traditional teaching models are becoming obsolete, so it would be essential to rethink and customize the processes of information generation and transfer to make them more efficient and flexible. Big data has emerged as a game-changer in various industries, and education is no exception. The collection and analysis of large datasets, known as educational big data, have paved the way for innovative approaches in tracking student progress, identifying at-risk students, and enhancing teaching and learning. This data is mined and analyzed through the Educational Data Mining (EDM), a cross-disciplinary field involving computer science, education and statistics. It analyses and mines education related data to better understand students and setting which they learn. EDM focuses on developing new tools and algorithms for discovering data patterns, making data driving decision and solving various types of educational problems.