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Analytics of Emerging and Scripted Roles in Online Discussions: An Epistemic Network Analysis Approach

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12749))

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Abstract

This paper investigates emerging roles in the context of the community of inquiry model. The paper reports the results of a study that demonstrated the application of epistemic network and clustering analyses to reveal the roles that different students assumed during an asynchronous course with online discussions. The proposed method highlights the differences and similarities between emerging and scripted roles based on the development of social and cognitive presences, two key constructs of the model of communities of inquiry.

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Notes

  1. 1.

    For further details on the course design [10].

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Author information

Authors and Affiliations

  1. Informatics Center, Universidade Federal de Pernambuco, Recife, Brazil

    Máverick Ferreira

  2. Department of Computing, Universidade Federal Rural de Pernambuco, Recife, Brazil

    Rafael Ferreira Mello & Rafael Dueire Lins

  3. Faculty of Information Technology, Monash University, Melbourne, Australia

    Dragan Gašević

Authors
  1. Máverick Ferreira
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  2. Rafael Ferreira Mello
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  3. Rafael Dueire Lins
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  4. Dragan Gašević
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Corresponding author

Correspondence to Rafael Ferreira Mello .

Editor information

Editors and Affiliations

  1. Technion – Israel Institute of Technology, Haifa, Israel

    Ido Roll

  2. Arizona State University, Tempe, AZ, USA

    Danielle McNamara

  3. Utrecht University, Utrecht, The Netherlands

    Sergey Sosnovsky

  4. London Knowledge Lab, London, UK

    Rose Luckin

  5. University of Leeds, Leeds, UK

    Vania Dimitrova

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Ferreira, M., Mello, R.F., Lins, R.D., Gašević, D. (2021). Analytics of Emerging and Scripted Roles in Online Discussions: An Epistemic Network Analysis Approach. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science(), vol 12749. Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_28

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  • DOI: https://doi.org/10.1007/978-3-030-78270-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78269-6

  • Online ISBN: 978-3-030-78270-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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