rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: E-Learning Methodologies
    sub title: Fundamentals, Technologies and Applications
  name:
    name part: Goyal, Mukta.
    role:
      role term: creator
  name:
    name part: Krishnamurthi, Rajalakshmi.
  name:
    name part: Yadav, Divakar.
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    place:
      place term: Stevenage
    publisher: Institution of Engineering and Technology
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (352 pages).
  abstract: This book covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology.
  table of contents: Cover -- Contents -- About the editors -- Preface -- Part I: Introduction and pedagogies of e-learning systems with intelligent techniques -- Part II: Technologies in e-learning -- Part III: Case studies -- Part I: Introduction and pedagogies of e-learning systems with intelligent techniques -- 1 Introduction -- 1.1 Asynchronous learning and synchronous learning -- 1.2 Blended learning, distance learning, and Classroom 2.0 -- 1.2.1 E-learning -- 1.2.2 Smart e-learning -- 1.3 Different frameworks of smart e-learning -- 1.3.1 AI in e-learning -- 1.3.2 Mobile learning
  table of contents: 1.3.3 Cloud-based learning -- 1.3.4 Big data in e-learning -- 1.3.5 IoT framework of e-learning -- 1.3.6 Augmented reality in learning -- 1.4 Gaps in existing frameworks -- 1.5 Conclusion -- References -- 2 Goal-oriented adaptive e-learning -- 2.1 Introduction -- 2.2 Literature survey -- 2.2.1 State-of-the-art -- 2.3 Goal-oriented adaptive e-learning system -- 2.3.1 Goal-oriented course graph structure -- 2.3.1.1 CG components -- 2.3.1.2 Database -- 2.3.2 Registration module -- 2.3.3 Personalized assessment module -- 2.3.3.1 Dynamic learning ability -- 2.3.3.2 Dynamic learning success
  table of contents: 2.3.4 ACO-based learning path generation -- 2.3.4.1 Objectives -- 2.3.4.2 Time constraint -- 2.3.4.3 Ant colony optimization -- 2.3.5 Persistence into database and self-learning -- 2.4 Experimental results -- 2.4.1 Data preparation -- 2.4.2 Evolution of learning path with regular improvement -- 2.4.2.1 Static learning path -- 2.4.2.2 Dynamic learning paths -- 2.4.3 Evolution of learning path with late improvement -- 2.4.3.1 Static learning path -- 2.4.3.2 Dynamic learning paths -- 2.5 Conclusion -- 2.6 Future scope -- References
  table of contents: 3 Predicting students' behavioural engagement in microlearning using learning analytics model -- 3.1 Introduction -- 3.2 LA studies -- 3.3 Methods -- 3.4 Results -- 3.4.1 Analysis of using NN -- 3.4.2 Analysis using LR -- 3.5 Comparison analysis using NN and LR -- 3.6 Conclusion -- 3.7 Future scope -- References -- 4 Student performance prediction for adaptive e-learning systems -- 4.1 Introduction -- 4.2 Literature survey -- 4.2.1 Learner profile -- 4.2.2 Soft computing techniques -- 4.3 Methodology -- 4.3.1 Conversion of numeric to intuitionistic fuzzy value -- 4.3.2 Learning style model
  table of contents: 4.3.3 Personality model -- 4.3.4 Assessment of knowledge level -- 4.3.5 Intuitionistic fuzzy optimization algorithm and KNN classifier -- 4.4 Experimental results -- 4.5 Future work -- 4.6 Conclusion -- References -- Part II: Technologies in e-learning -- 5 AI in e-learning -- 5.1 Artificial intelligence in India -- 5.2 Artificial intelligence in education -- 5.3 AI in e-learning -- 5.4 Analysis and data -- 5.5 Emphasis on the area that needs improvement in e-learning -- 5.6 Creating comprehensive curriculum -- 5.7 Immersive learning -- 5.8 Intelligent tutoring systems
  note: Description based upon print version of record.
  note: 5.9 Virtual facilitators and learning environment.
  subject:
    topic: Analysis
  subject:
    topic: Artificial intelligence
  subject:
    topic: Automation
    topic: Human factors
  subject:
    topic: Cloud computing
  subject:
    topic: Data processing
  subject:
    topic: Design
    topic: Human factors
  subject:
    topic: Teaching
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Automatisation
    topic: Facteurs humains
  subject:
    topic: Infonuagique
  subject:
    topic: Design
    topic: Facteurs humains
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Automation
    topic: Human factors
  subject:
    topic: Cloud computing
  subject:
    topic: Design
    topic: Human factors
  subject:
    topic: Teaching
  subject:
    topic: Education
  classification: TK5105.875.I57 .G693 2021
  classification: 371.334
  related item:
    title info:
      title: E-Learning Methodologies
    name:
      name part: Goyal, Mukta
    origin info:
      publisher: Stevenage : Institution of Engineering & Technology,c2021
  related item:
    title info:
      title: Computing and Networks Ser
  identifier: 9781839531217
  identifier: 1839531215
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 210619
    record change date: 20260121210959.8
    record identifier: in00005676495
    language of cataloging:
      language term: eng