Skip to content
  • Subscriptions
  • Editorial Calendar
  • Media Data
  • Newsletter
  • Contact
  • German
  • Login / Register
  • Cart / 0,00 € 0
    • No products in the cart.

      Return to shop

  • Subscriptions
  • Editorial Calendar
  • Media Data
  • Newsletter
  • Contact
  • German
Industry 4.0 ScienceIndustry 4.0 Science
  • 0
    Cart

    No products in the cart.

    Return to shop

  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
    • Books
    • Find 4IR Consultants
    • Find Smart Factory Software
    • Find ERP Consultants
    • Find ERP Software
    • Open Access Articles
    • About GITO
  • I4S Shop
  • German

Autor: Lothar Abicht

The Industrial Internet of Things

The Industrial Internet of Things

Social and Educational Perspectives
Lothar Abicht, Thomas Flum
Economy, enterprises and employees are sustainably affected by digital transformation. The new opportunities of education and training to evaluate learner behavior digitally are of particular interest. Learning analytics can be used for specific optimization of learning forms and content for the benefit of learners and of the training company.
Industrie 4.0 Management | Volume 32 | 2016 | Edition 6 | Pages 39-41
  • About GITO
  • Factory Innovation
  • ERP Management
  • GITO Events
  • AIS Transactions on Enterprise Systems
  • Our Partners
  • FAQ for Readers
  • Cancel Subscription
  • Media Data
  • Newsletter
  • Become an Author
  • Editorial Process
  • Open Access by GITO
  • Publication Ethics
  • Contact
Visa
MasterCard
PayPal
  • Imprint
  • Cookie Policy
  • Data Privacy Policy
  • General Terms and Conditions (T&C)
Copyright 2026 © GITO
  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
    • Books
    • Find 4IR Consultants
    • Find Smart Factory Software
    • Find ERP Consultants
    • Find ERP Software
    • Open Access Articles
    • About GITO
  • I4S Shop
  • German
  • Login / Register
  • German