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Evaluation of the Bibliographical Importance of Digital Educational Disruption Related to Social Networks. The Case of LinkedIn Learning

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Methodologies and Intelligent Systems for Technology Enhanced Learning, 12th International Conference (MIS4TEL 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 580))

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Abstract

The social importance of the virtual world is growing. The different social habits have been transferred to digital reality, but issues are as crucial as social relations or education. Concerning the latter, we developed the current research, worrying about how the scientific community can transfer this reality to the different studies that are being developed. In addition to observing the direction of the numerous studies that relate social networks to education, we aim to investigate the evolution of publications associated with a social networking tool such as the one developed by LinkedIn to offer education. As shown, the interest in the possibilities offered by social networks in e-Learning is growing, and the scientific production increases every year, but this does not translate into a significant volume of specific publications on LinkedIn Learning. On the other hand, it is remarkable to observe, in a concrete way, that within the little developed by the scientific community around LinkedIn Learning, 40.91% of these studies relate this social network to the concept of e-Learning.

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Notes

  1. 1.

    https://news.linkedin.com/2015/linkedin-to-acquire-lyndacom.

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Acknowledgments

This work has been partially supported by the European Regional Development Fund (ERDF) through the Interreg Spain-Portugal V – A Program (POCTEP) under gran 0677_DISRUPTIVE_2_E (Intensifying the activity of Digital Innovation Hubs within the PocTep region to boost the development of disruptive and last generation ICTs through cross-border cooperation).

Author information

Authors and Affiliations

  1. BISITE Research Group, University of Salamanca, Edificio Multiusos I+D+I, C/ Espejos s/n, 37007, Salamanca, Spain

    Javier Parra-Domínguez, Sergio Manzano, Andrea Gil-Egido, Fernando De la Prieta, Pablo Chamoso & Sara Rodríguez-González

  2. IoT Digital Innovation Hub, Edificio PCUVa, Módulo 117-118, Campus Miguel Delibes Paseo de Belén 9A, 47011, Valladolid, Spain

    Javier Parra-Domínguez, Sergio Manzano, Andrea Gil-Egido, Fernando De la Prieta, Pablo Chamoso & Sara Rodríguez-González

  3. AIR Institute – Deep Tech Lab, Edificio PCUVa, Módulo 117-118, Campus Miguel Delibes Paseo de Belén 9A, 47011, Valladolid, Spain

    Pablo Chamoso

Authors
  1. Javier Parra-Domínguez
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  2. Sergio Manzano
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  3. Andrea Gil-Egido
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  4. Fernando De la Prieta
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  5. Pablo Chamoso
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  6. Sara Rodríguez-González
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Corresponding author

Correspondence to Javier Parra-Domínguez .

Editor information

Editors and Affiliations

  1. Sapienza University of Rome, Rome, Roma, Italy

    Marco Temperini

  2. University of Salerno, Montoro - Avellino, Italy

    Vittorio Scarano

  3. Leibniz University of Hanover, Hanover, Germany

    Ivana Marenzi

  4. DFKI GmbH, Berlin, Germany

    Milos Kravcik

  5. Computer and Information Technology Department, University of Craiova, Craiova, Romania

    Elvira Popescu

  6. University of Bari Aldo Moro, Bari, Italy

    Rosa Lanzilotti

  7. Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy

    Rosella Gennari

  8. University of Salamanca, Salamanca, Spain

    Fernando De La Prieta

  9. DISIM, University of L’Aquila, L’Aquila, L’Aquila, Italy

    Tania Di Mascio

  10. University of L’Aquila, L’Aquila, Italy

    Pierpaolo Vittorini

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Parra-Domínguez, J., Manzano, S., Gil-Egido, A., De la Prieta, F., Chamoso, P., Rodríguez-González, S. (2023). Evaluation of the Bibliographical Importance of Digital Educational Disruption Related to Social Networks. The Case of LinkedIn Learning. In: Temperini, M., et al. Methodologies and Intelligent Systems for Technology Enhanced Learning, 12th International Conference. MIS4TEL 2022. Lecture Notes in Networks and Systems, vol 580. Springer, Cham. https://doi.org/10.1007/978-3-031-20617-7_11

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