Share
Utilizing Educational Data Mining Techniques For Improved Learning: Emerging Research And Opportunities (advances In Educational Technologies And Instructional Design) (in English)
Chintan Bhatt
(Illustrated by)
·
Priti Srinivas Sajja
(Illustrated by)
·
Sidath Liyanage
(Illustrated by)
·
Information Science Reference
· Hardcover
Utilizing Educational Data Mining Techniques For Improved Learning: Emerging Research And Opportunities (advances In Educational Technologies And Instructional Design) (in English) - Bhatt, Chintan ; Sajja, Priti Srinivas ; Liyanage, Sidath
$ 200.86
$ 251.07
You save: $ 50.21
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, June 10 and
Tuesday, June 11.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Utilizing Educational Data Mining Techniques For Improved Learning: Emerging Research And Opportunities (advances In Educational Technologies And Instructional Design) (in English)"
Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.