EconPapers    
Economics at your fingertips  
 

How do students use digital technology to manage their university-based data: strategies, accumulation difficulties and feelings of overload?

Elizabeth Sillence, Jordan A. Dawson, Kerry McKellar and Nick Neave

Behaviour and Information Technology, 2023, vol. 42, issue 14, 2442-2451

Abstract: Technology to enable and support learning and teaching is widespread in university settings. One consequence of such technology use is the accumulation of large volumes of digital data. The acquisition of, and failure to, discard digital content can lead to digital clutter. The potential negative consequences of digital clutter have been examined mainly within a workplace context. Far less is known about how university students manage their academic digital data and whether they have strategies to deal with excessive digital clutter. Eighteen undergraduate students took part in a one-to-one or group-based interview to discuss their digital data management strategies including accumulation and deletion behaviours. Thematic analysis led to three themes: (1) Digital data accumulation across the student journey, (2) Reactive and evolving digital data management strategies and (3) Data overload: Anxiety, loss of productivity and feeling overwhelmed. The findings capture the complexity of feelings students have about different types of digital technology and the strategies they use to manage increasingly large volumes of digital data. Findings are discussed in relation to the need for better support and guidance for students around the use of digital technology to manage their data during their time at university.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2022.2126948 (text/html)
Access to full text is restricted to subscribers.

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:taf:tbitxx:v:42:y:2023:i:14:p:2442-2451

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2022.2126948

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tbitxx:v:42:y:2023:i:14:p:2442-2451