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Future Generation Computer Systems
Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2023
Data sources: DBLP
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Teaching and learning “Digital Wellbeing”

Authors: Monge Roffarello, Alberto; De Russis, Luigi;

Teaching and learning “Digital Wellbeing”

Abstract

Nowadays, the traditional approach to supporting people's digital wellbeing is providing them with digital self-control tools that can delay or block access to websites and mobile apps. As recent works demonstrate, however, such an approach is often ineffective, and developing proper boundaries to technology (over)use is still a challenge. In this paper, we support the idea that achieving digital wellbeing is a path of personal growth that requires education rather than restrictions, and that education may foster the emergence of a new generation of designers and practitioners that considers digital wellbeing and social good. To this end, we report on the results of a case study (N=93) in an Italian university during which we measured the impacts and outcomes of a multidisciplinary course on the digital wellbeing topic. The course introduced the digital wellbeing research area from the HCI and psychology perspectives, and challenged students in the design and prototype of technological solutions respecting and promoting people's digital wellbeing. Results from the case study confirm that educational solutions may positively impact students' digital wellbeing and inspire them to prototype technologies for the social good, opening the way to exploring and establishing more sustainable design practices.

Country
Italy
Related Organizations
Keywords

Digital wellbeing; technology overuse; attention economy; dark patterns; project-based learning (PBL)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
Green