Preface to the Special Issue AI4MOOCs: Artificial Intelligence, Sensoring, Modeling and Assessment for MOOCs. A Step Beyond

In particular, this study examined the use of state-of-the-art deep learning models such as recurrent neural networks and generative pretrained transformer 2 (GPT-2). The third and last paper, “Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs”, by Mohammad Alshehri, Ahmed Alamri, Alexandra Cristea and Craig D. Stewart, presents a work that, starting from data generated by the various student activities in a MOOC’s learning environment, builds a predictive model for student success. [...]they are a starting point for new discussions concerning MOOCs in a context where teachers, due to the large numbers of students, would have difficulty in effectively monitoring each learner individually.