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Machine Learning Paradigms = Advance...
~
Jain, Lakhmi C.
Machine Learning Paradigms = Advances in Learning Analytics /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Machine Learning Paradigms/ edited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain.
Reminder of title:
Advances in Learning Analytics /
other author:
Virvou, Maria.
Description:
XVI, 223 p. 60 illus., 29 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-13743-4
ISBN:
9783030137434
Machine Learning Paradigms = Advances in Learning Analytics /
Machine Learning Paradigms
Advances in Learning Analytics /[electronic resource] :edited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain. - 1st ed. 2020. - XVI, 223 p. 60 illus., 29 illus. in color.online resource. - Intelligent Systems Reference Library,1581868-4394 ;. - Intelligent Systems Reference Library,67.
This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.
ISBN: 9783030137434
Standard No.: 10.1007/978-3-030-13743-4doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Machine Learning Paradigms = Advances in Learning Analytics /
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This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.
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Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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