Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications

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

Author(s): Varad Vishwarupe*, Saniya Zahoor, Ravesa Akhter, Vijay P. Bhatkar, Mangesh Bedekar, Milind Pande, Prachi M. Joshi, Avinash Patil, Vishal Pawar and Neha Mandora

Pp: 84-95 (12)

DOI: 10.2174/9789815179187123040008

* (Excluding Mailing and Handling)


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. 

Keywords: Artificial intelligence, Cognitive learning model, Cognitive elearning.

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