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.
Keywords: Artificial intelligence, Cognitive learning model, Cognitive elearning.
Related Books
Capitalist Realism in Africa: Realities and Myths in Advertising
Digital Currency: An International Legal and Regulatory Compliance Guide
Firms` Strategic Decisions: Theoretical and Empirical Findings
Firms` Strategic Decisions: Theoretical and Empirical Findings
Firms` Strategic Decisions: Theoretical and Empirical Findings
Intellectual Property Basic Manual for Researchers in Universities
.jpg)
Internet Economics: Models, Mechanisms and Management
Learning Why and How: A Reader in Managing Nonprofit and Voluntary Organizations
Markets, Business and Sustainability
Organizational Management: Case Studies for Graduate Students