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.
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