AI in Continuing Education of the Future

Clemens Jäger () and Stefan Tewes ()
Additional contact information
Clemens Jäger: FOM Hochschule für Oekonomie & Management in Essen
Stefan Tewes: FOM Hochschule für Oekonomie & Management in Essen

A chapter in Work and AI 2030, 2023, pp 361-371 from Springer

Abstract: Abstract The need for further education is growing in the digital transformation. New concepts and technologies are required to keep up with the speed of development needs. The success of further education will be determined in the future by the solution of three further education gaps: motivation, competence and transfer. Artificial intelligence provides an important building block for this. Through learning analytics, personalised learning, task automation and smart content, the current challenges of further education can be overcome. Important debates of artificial intelligence in further education will also be determined in the future by ethical questions (e.g. discrimination) as well as questions about the objectifiability of human development.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-40232-7_40

Ordering information: This item can be ordered from
http://www.springer.com/9783658402327

DOI: 10.1007/978-3-658-40232-7_40

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().