IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-46481-3_12.html
   My bibliography  Save this book chapter

Future Learning mit KI und Robotern

In: Future Skills in Human Resource Management und Corporate Learning

Author

Listed:
  • Melanie Hasenbein

    (Dr. Melanie Hasenbein)

Abstract

Zusammenfassung Zentrale Trends im Future Learning sind der Einsatz von KI und digitalen Technologien wie Learning Analytics, Augmented und Virtual Reality, Bildungsroboter und Smart Learning Environments. Diese Technologien ermöglichen individuellere, interaktive und immersive Lernerfahrungen. Neue Lernkonzepte wie „New Learning“ betonen die Bedeutung von Selbstbestimmung, Zugehörigkeit zu einer Lerngemeinschaft und agilen Lernformaten. Tools wie Learning Analytics und adaptive Lernsysteme personalisieren das Lernen. Der Einsatz von humanoiden und sozialen Robotern im Bildungsbereich bietet das Potenzial, Kreativität und Problemlösefähigkeiten zu fördern sowie individuelle Lernunterstützung zu bieten. Smart Learning Environments sind die zukünftigen Lernumgebungen, die physische und virtuelle Lernansätze integrieren. Das Future Learning Canvas kann als Praxistool zur Gestaltung entsprechender Lernumgebungen eingesetzt werden.

Suggested Citation

  • Melanie Hasenbein, 2025. "Future Learning mit KI und Robotern," Springer Books, in: Miriam Hägerbäumer & Udo Thelen & André Renz (ed.), Future Skills in Human Resource Management und Corporate Learning, chapter 12, pages 277-294, Springer.
  • Handle: RePEc:spr:sprchp:978-3-658-46481-3_12
    DOI: 10.1007/978-3-658-46481-3_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-658-46481-3_12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.