Author
Listed:
- Bettina Renner
- Gudrun Wesiak
- Viktoria Pammer-Schindler
- Michael Prilla
- Lars Müller
- Dalia Morosini
- Simone Mora
- Nils Faltin
- Ulrike Cress
Abstract
This paper discusses the potential of ICT to support reflective learning for professionals. We aggregated data collected in 20 field studies with 12 different applications, involving a total of 321 participants. The applications addressed individual reflection as well as collaborative reflection. Such a systematic analysis with different applications used across industry sectors and companies is unique in the current literature on computer-supported reflective learning in the workplace. Primarily, we assessed the reaction to reflection applications and their effectiveness regarding learning, behaviour change, and organisational impact. In addition, we investigated differences with respect to work experience. Results show that users had a positive reaction to the apps and perceived their use to be beneficial for their work by using them. In collaborative reflection an inexperienced employee can benefit from the experiences and perspectives of more experienced (co-)workers. In contrast, individual reflection was more profitable for more experienced workers. Notwithstanding the overall positive results, the actual implementation of reflection applications requires careful adaptation to the specific organisational and situational context, as well as introductory and accompanying measures to assure efficient and beneficial usage of the tools.
Suggested Citation
Bettina Renner & Gudrun Wesiak & Viktoria Pammer-Schindler & Michael Prilla & Lars Müller & Dalia Morosini & Simone Mora & Nils Faltin & Ulrike Cress, 2020.
"Computer-supported reflective learning: how apps can foster reflection at work,"
Behaviour and Information Technology, Taylor & Francis Journals, vol. 39(2), pages 167-187, February.
Handle:
RePEc:taf:tbitxx:v:39:y:2020:i:2:p:167-187
DOI: 10.1080/0144929X.2019.1595726
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
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:taf:tbitxx:v:39:y:2020:i:2:p:167-187. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.