abstract
- © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.Over the past decade, the information systems have successfully shown to be useful towards the provision of support for real-time business processes (e.g. educational processes). The ample understanding and interpretation of the educational models have become closely related to the teaching-learning process and decision-making mechanisms. Moreover, higher educational institutions have been found to seek ways on how to manage and make the best business decisions in alignment with performance of the teachers and students learning outcomes. On the one hand, process mining (PM) has proved to be one of the existing methods that is capable of analyzing the learning activities or processes to provide useful information that can be used to support educational models. On the other hand, this work shows that to address and support the complexities within the education processes, an adequate method and technological support is needed. To this end, this paper proposes an educational process intelligence (EPI) model that is used to provide a contextual-based and informed learning process analysis and decision making through the process mining approach. Technically, the work illustrates the application of the model using data about an online course for university students.