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Learning and Work: Professional Learning Analytics

Littlejohn, Allison (2017). Learning and Work: Professional Learning Analytics. In: Lang, Charles; Siemens, George; Wise, Alyssa and Gasevic, Dragan eds. Handbook of Learning Analytics. Society for Learning Analytics Research, pp. 269–277.

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DOI (Digital Object Identifier) Link: https://doi.org/10.18608/hla17.023
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Abstract

Learning for work takes various forms, from formal training to informal learning through work activities. In many work settings, professionals collaborate via networked environments leaving various forms of digital traces and “clickstream” data. These data can be exploited through learning analytics (LA) to make both formal and informal learning processes traceable and visible to support professionals with their learning. This chapter examines the state-of-the-art in professional learning analytics (PLA) by considering how professionals learn, putting forward a vision for PLA, and analyzing examples of analytics in action in professional settings. LA can address affective and motivational learning issues as well as technical and practical expertise; it can intelligently align individual learning activities with organizational learning goals. PLA is set to form a foundation for future learning and work.

Item Type: Book Section
Copyright Holders: 2017 The Author
ISBN: 0-9952408-0-9, 978-0-9952408-0-3
Keywords: professional learning; learning analytics; workplace learning; big data
Academic Unit/School: Learning and Teaching Innovation (LTI) > Institute of Educational Technology (IET)
Learning and Teaching Innovation (LTI)
Research Group: Health and Wellbeing PRA (Priority Research Area)
Item ID: 51325
Depositing User: Allison Littlejohn
Date Deposited: 16 Oct 2017 09:22
Last Modified: 07 Dec 2018 16:05
URI: http://oro.open.ac.uk/id/eprint/51325
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