Designing a Human-centered AI-based Cognitive Learning Model for Industry 4.0 Applications
- Authors: Varad Vishwarupe1, Saniya Zahoor2, Ravesa Akhter3, Vijay P. Bhatkar4, Mangesh Bedekar5, Milind Pande6, Prachi M. Joshi7, Avinash Patil8, Vishal Pawar
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View Affiliations Hide Affiliations1 Amazon Research and Development Centre, Bangalore, Karnataka, India 2 National Institute of Technology Srinagar, Srinagar, Jammu and Kashmir, India 3 National Institute of Technology Srinagar, Srinagar, Jammu and Kashmir, India 4 Maharashtra Institute of Technology World Peace University, Pune, India 5 Maharashtra Institute of Technology World Peace University, Pune, India 6 Maharashtra Institute of Technology World Peace University, Pune, India 7 DES Pune University, Pune, Maharashtra, India 8 Maharashtra Institute of Technology World Peace University, Pune, India
- Source: Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications , pp 84-95
- Publication Date: December 2023
- Language: English
Designing a Human-centered AI-based Cognitive Learning Model for Industry 4.0 Applications, Page 1 of 1
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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.
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