Personalized Learning Environments

Abstract

The combination of a number of technologies within the context of higher education are brought together in an attempt to provide personalized education with a virtual learning environment. Artificial Intelligence (AI) provides the required personalization through the engagement of learner profiling techniques that employ learning data analytics generated by the learners themselves in a process that propagates and continuously refines a unique profile for every individual student. In this paper we present our work on the personalized learning environment developed few years ago and that evolved through the integration of novel machine learning techniques that include deep learning and explainable AI. The favourable results achieved and the positive feedback from learners and educators provide scope for numerous recommendations and best practices. We close our paper with some future directions that this research continues to provide and that potentially characterize the way we develop and employ virtual learning environments.