Artificial intelligence for professional learning

Wayne Holmes and Allison Littlejohn

Chapter 10 in Handbook of Artificial Intelligence at Work, 2024, pp 191-211 from Edward Elgar Publishing

Abstract: Artificial Intelligence (AI) is increasingly impacting on all organisations. It has also been proposed as a way to scale professional learning. However, while much professional learning is informal (it includes ‘on the job’ training such as observing how an expert colleague carries out a task or engaging in strategic discussions), current applications of AI in professional learning draw on AI applications developed for schools and universities to focus on formal professional learning (training courses with prespecified content and outcomes). Informal professional learning, or ‘workplace learning,’ has yet to be addressed by AI. Accordingly, in this chapter, we explore the characteristics and requisite skills of workplace learning, such as self-regulation, before considering the potential of AI for workplace learning.

Keywords: Business and Management; Economics and Finance; Innovations and Technology; Politics and Public Policy Sociology and Social Policy (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781800889972.00018 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

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:elg:eechap:20885_10

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().