EconPapers    
Economics at your fingertips  
 

AI in Education: Educational Technology and AI

André Renz ()
Additional contact information
André Renz: Helmut Schmidt University, University of the Federal Armed Forces Hamburg

A chapter in Work and AI 2030, 2023, pp 353-360 from Springer

Abstract: Abstract Although numerous studies and research on the topic of AI in education have been conducted in the last 60 years, the actual relevance for application has only gained momentum in recent times. In particular, the development of data-driven and AI-supported Educational Technology (EdTech) is considered as an emerging field in the education sector, which promises a change in the teaching and learning culture. This article provides insights into sub-discourses on AI in EdTech and identifies needs for action that are essential for a sustainable design of AI in EdTech. One aim is to understand the changes that come with AI in the EdTech area, in order to create an awareness of one's own power of participation and thus a self-determined handling in the context of datafication and digitalisation in education.

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_39

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

DOI: 10.1007/978-3-658-40232-7_39

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 ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-658-40232-7_39