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Exploring Networked Learning in the Workplace Using Social Network Learning Analytics

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Title: Exploring Networked Learning in the Workplace Using Social Network Learning Analytics
Language: English
Authors: Ean Teng Khor (ORCID 0000-0001-6817-9332), Chee Kit Looi, Dave Darshan, Zixuan Lian
Source: International Journal of Information and Learning Technology. 2026 43(1):86-101.
Availability: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Peer Reviewed: Y
Page Count: 16
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Descriptors: Social Networks, Foreign Countries, Interaction, Hospitals, Medical Services, Nurses, Work Environment, Workplace Learning, Health Personnel
Geographic Terms: Singapore
DOI: 10.1108/IJILT-05-2024-0081
ISSN: 2056-4880
Abstract: Purpose: Workplace interaction and collaboration can be enhanced by networked learning. The study intends to explore networked learning in the workplace (knowledge sharing and connection buildings) and gain insights into how workers develop connections through learning analytics social network analysis (SNA). Design/methodology/approach: SNA was employed to explore how learning connections were established amongst healthcare workers in a large hospital in Singapore. We examined both the total network interactions (density, diameter, average shortest path length) and the levels of interactions between individuals (degree, betweenness, closeness centralities). A total of 99 responses were included in the final data analysis, and Python packages such as NetworkX were used to perform SNA. Findings: The network as a whole is sparse, as indicated by the low-density score (0.4%). The findings of the study reveal that the bigger sub-networks had more than one worker who interacted with more than one co-worker and these tend to have more edges in them interlinking workers from different departments. We also found that workers from the departments with the larger populations in the sub-networks were more likely to have the highest degree, betweenness and closeness centrality values. This indicates that the larger sub-networks hold more value in terms of understanding how workers with higher centrality values are nurtured. Originality/value: This paper sheds light on the learning process that occurs when workers engage in networked learning and provides empirical findings with Singapore as the context of the study.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1502958
Database: ERIC
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  Data: Exploring Networked Learning in the Workplace Using Social Network Learning Analytics
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  Data: <searchLink fieldCode="AR" term="%22Ean+Teng+Khor%22">Ean Teng Khor</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-6817-9332">0000-0001-6817-9332</externalLink>)<br /><searchLink fieldCode="AR" term="%22Chee+Kit+Looi%22">Chee Kit Looi</searchLink><br /><searchLink fieldCode="AR" term="%22Dave+Darshan%22">Dave Darshan</searchLink><br /><searchLink fieldCode="AR" term="%22Zixuan+Lian%22">Zixuan Lian</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Information+and+Learning+Technology%22"><i>International Journal of Information and Learning Technology</i></searchLink>. 2026 43(1):86-101.
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  Data: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
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  Data: 16
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Social+Networks%22">Social Networks</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Interaction%22">Interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Hospitals%22">Hospitals</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+Services%22">Medical Services</searchLink><br /><searchLink fieldCode="DE" term="%22Nurses%22">Nurses</searchLink><br /><searchLink fieldCode="DE" term="%22Work+Environment%22">Work Environment</searchLink><br /><searchLink fieldCode="DE" term="%22Workplace+Learning%22">Workplace Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Health+Personnel%22">Health Personnel</searchLink>
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Singapore%22">Singapore</searchLink>
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  Data: 10.1108/IJILT-05-2024-0081
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  Data: 2056-4880
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Workplace interaction and collaboration can be enhanced by networked learning. The study intends to explore networked learning in the workplace (knowledge sharing and connection buildings) and gain insights into how workers develop connections through learning analytics social network analysis (SNA). Design/methodology/approach: SNA was employed to explore how learning connections were established amongst healthcare workers in a large hospital in Singapore. We examined both the total network interactions (density, diameter, average shortest path length) and the levels of interactions between individuals (degree, betweenness, closeness centralities). A total of 99 responses were included in the final data analysis, and Python packages such as NetworkX were used to perform SNA. Findings: The network as a whole is sparse, as indicated by the low-density score (0.4%). The findings of the study reveal that the bigger sub-networks had more than one worker who interacted with more than one co-worker and these tend to have more edges in them interlinking workers from different departments. We also found that workers from the departments with the larger populations in the sub-networks were more likely to have the highest degree, betweenness and closeness centrality values. This indicates that the larger sub-networks hold more value in terms of understanding how workers with higher centrality values are nurtured. Originality/value: This paper sheds light on the learning process that occurs when workers engage in networked learning and provides empirical findings with Singapore as the context of the study.
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        Value: 10.1108/IJILT-05-2024-0081
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 86
    Subjects:
      – SubjectFull: Social Networks
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Interaction
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      – SubjectFull: Hospitals
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      – SubjectFull: Medical Services
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      – SubjectFull: Nurses
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      – SubjectFull: Work Environment
        Type: general
      – SubjectFull: Workplace Learning
        Type: general
      – SubjectFull: Health Personnel
        Type: general
      – SubjectFull: Singapore
        Type: general
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      – TitleFull: Exploring Networked Learning in the Workplace Using Social Network Learning Analytics
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            NameFull: Chee Kit Looi
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