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Article . 2023
License: CC BY NC
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Enhancing Social Networking Learning by Using Enterprise Social Networks

Authors: Leon, Ramona-Diana; Rodríguez-Rodríguez, Raúl; Alfaro-Saiz;

Enhancing Social Networking Learning by Using Enterprise Social Networks

Abstract

Social networking learning is emerging in light of the European Skills Agenda and technological development. This aims to incorporate learning techniques in social networking environments to foster formal and informal learning. However, the classical customer-oriented social networks provide an essential learning environment that does not include assessment tools and pedagogical perspectives. The enterprise social networks could fill this gap since they are more flexible, easy to customise, and highly efficient in the organisational learning context. This research, with its practical implications, aims to bring forward the enterprise social networks that can answer higher education demands and the selection criteria that could be considered. An emic approach is employed, and a conceptual design is developed. The results present a multi-criteria decision model that can be used by higher education teachers who want to move forward to social networking learning. The current approach has theoretical and practical implications; it extends the literature on educational technologies and helps teachers decide which enterprise social network they can use in their activities.

Keywords

informal learning, O32, O33, students, ddc:330, I23, knowledge sharing, A23, enterprise social network, higher education institution

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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!
0
Average
Average
Average
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