Machine Learning Approaches for Improvising Modern Learning Systems (Paperback)

Technology is currently playing a vital role in revolutionizing education systems and progressing academia into the digital age. Technological methods including data mining and machine learning are assisting with the discovery of new techniques for improving learning environments in regions across the world. As the educational landscape continues to rapidly transform, researchers and administrators need to stay up to date on the latest advancements in order to elevate the quality of teaching in their specific institutions. Machine Learning Approaches for Improvising Modern Learning Systems provides emerging research exploring the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries. Featuring coverage on a broad range of topics such as game-based learning, intelligent tutoring systems, and course modelling, this book is ideally designed for researchers, scholars, administrators, policymakers, students, practitioners, and educators seeking current research on the digital transformation of educational institutions.

General

Imprint:	Business Science Reference
Country of origin:	United States
Release date:	May 2021
Editors:	Zameer Gulzar • A Anny Leema
Dimensions:	254 x 178 x 19mm (L x W x T)
Format:	Paperback
Pages:	336
ISBN-13:	978-1-79985-153-0
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Social sciences > Education > Organization & management of education > General Books > Social sciences > Education > Higher & further education > Open learning & distance education Books > Social sciences > Education > Educational resources & technology > General Promotions
LSN:	1-79985-153-2
Barcode:	9781799851530

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