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Machine Learning Approaches for Improvising Modern Learning Systems

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Title: Machine Learning Approaches for Improvising Modern Learning Systems
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.
Authors: Zameer Gulzar, A. Anny Leema
Resource Type: eBook.
Subjects: Education--Effect of technological innovations on--Case studies, Computer-assisted instruction--Case studies, Educational technology--Case studies
Categories: EDUCATION / Computers & Technology, COMPUTERS / Machine Theory, EDUCATION / Distance, Open & Online Education
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
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  Data: Machine Learning Approaches for Improvising Modern Learning Systems
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  Data: 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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  Data: <searchLink fieldCode="AR" term="%22Zameer+Gulzar%22">Zameer Gulzar</searchLink><br /><searchLink fieldCode="AR" term="%22A%2E+Anny+Leema%22">A. Anny Leema</searchLink>
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      – Code: 371.33
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Education--Effect of technological innovations on--Case studies
        Type: general
      – SubjectFull: Computer-assisted instruction--Case studies
        Type: general
      – SubjectFull: Educational technology--Case studies
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      – TitleFull: Machine Learning Approaches for Improvising Modern Learning Systems
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            NameFull: Zameer Gulzar
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            NameFull: A. Anny Leema
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            NameFull: Zameer Gulzar
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 24
              M: 05
              Type: profile
              Y: 2021
          Identifiers:
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              Value: 9781799850090
            – Type: isbn-electronic
              Value: 9781799850106
            – Type: isbn-electronic
              Value: 9781799850113
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            – TitleFull: Machine Learning Approaches for Improvising Modern Learning Systems
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