Machine Learning Approaches for Improvising Modern Learning Systems (Premier Reference Source: Advances in Educational Technologies and Instructional Design) - Image 1

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Information Science Reference Machine Learning Approaches for Improvising Modern Learning Systems (Premier Reference Source: Advances in Educational Technologies and Instructional Design)

Name: Machine Learning Approaches for Improvising Modern Learning Systems (Premier Reference Source: Advances in Educational Technologies and Instructional Design)
Brand: Information Science Reference
Price: 137.73 GBP
Availability: InStock

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Description

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.

Product Specifications

Brand: Information Science Reference
Format: paperback
ASIN: 1799851532
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 14 May 2021
Listed Since: 10 June 2021

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Information Science Reference Machine Learning Approaches for Improvising Modern Learning Systems (Premier Reference Source: Advances in Educational Technologies and Instructional Design)

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