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Social Media in Support of Higher Education Teaching and Learning: A Systematic Literature Review

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Intelligent Computing (SAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 711))

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Abstract

Social media, one of many web 2.0 technologies, is known by most people as a leisure platform that is used by people to interact on a social level. However, social media can also be used for educational purposes, for example as a tool to support Higher Education teaching and learning. The Fourth Industrial Revolution has created an ever-changing environment forcing society to adopt or die, which means that a lack of adoption of, for example social media, might lead to exclusion. Therefore, Higher Education Institutions should consider the adoption of social media to, not only stay relevant in their educational teaching and learning delivery, but also to adapt their approaches to the level of students. The objective of the systematic review is to address the following question: How can social media support Higher Education teaching and learning? A high level scan of academically published literature and subsequent thematic analysis found that social media can support Higher Education in ten different areas and the areas can be categorized into two main categories namely by enhancing the Student’s Experience and through the facilitation of university functions. The research is the first step towards an in-depth investigation into understanding the potential benefits of social media as teaching and learning platform.

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Authors and Affiliations

  1. University of Pretoria, Private Bag X20, Hatfield, Pretoria, 0028, South Africa

    Lily Schoeman & Sunet Eybers

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  1. Lily Schoeman
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  2. Sunet Eybers
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  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Schoeman, L., Eybers, S. (2023). Social Media in Support of Higher Education Teaching and Learning: A Systematic Literature Review. In: Arai, K. (eds) Intelligent Computing. SAI 2023. Lecture Notes in Networks and Systems, vol 711. Springer, Cham. https://doi.org/10.1007/978-3-031-37717-4_56

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