Designing a Human-centered AI-based Cognitive Learning Model for Industry 4.0 Applications

Abstract

The aim of this chapter is to focus on the status of data mining approaches for e-learning and identify the gaps in them. It is seen that a predominant work has been done in e-learning through data mining techniques such as educational recommenders, association rules, clustering, profile-based approaches, personalization, prediction techniques, and decision support systems. However limited work is done on e-learning from a cognitive science perspective, which gives us the motivation to work in this field. The proposed work aims at proposing a cognitive model for e-learning systems using data mining for Industry 4.0 applications which shall usher in a new datum for e-learning in cyber-physical systems.