Machine Learning for Education: Current State and Future Prospects

Machine learning (ML) algorithms are transforming our society from an expert-based approach to a data-based approach in which knowledge is elicited from the vast amount of information that as a society we generate. Education is already evolving from a traditional expert-based framework to a digital and data-based approach that includes a variety of ML-based technologies and tools. This paper explores and classifies the current landscape of ML applications within education, focusing on the technical approaches used, and highlighting its problems and limitations. Through an examination of both current solutions and the discussion of future horizons, this study highlights the pivotal role machine learning plays in shaping the future of education.