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International Conference on Quantitative Ethnography

ICQE 2019: Advances in Quantitative Ethnography pp 66–76Cite as

What is the Effect of a Dominant Code in an Epistemic Network Analysis?

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1112))

Abstract

This paper investigates how different configuration of epistemic network analysis parameters influence the examination of student interactions in asynchronous discussions in online learning environments. Specifically, the paper investigates strategies for dealing by unintended consequences of a dominant node in epistemic network analysis (ENA). In particular, the paper reports on a study that explored the effects of two different strategies including (i) the use of different dimensions calculated with singular value decomposition (SVD), and (ii) exclusion of a dominant code. Our results showed that the use of different SVDs did not change the influence of a dominant code in the graph. On the other hand, the exclusion of the dominant code led to an entirely different configuration in ENA. The practical implications of the results are further discussed.

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Author information

Authors and Affiliations

  1. Universidade Federal Rural de Pernambuco, Recife, Brazil

    Rafael Ferreira Mello

  2. Monash University, Clayton, Australia

    Dragan Gašević

Authors
  1. Rafael Ferreira Mello
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  2. Dragan Gašević
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Corresponding author

Correspondence to Rafael Ferreira Mello .

Editor information

Editors and Affiliations

  1. University of Wisconsin–Madison, Madison, WI, USA

    Brendan Eagan

  2. University of Copenhagen, Copenhagen, Denmark

    Morten Misfeldt

  3. University of Wisconsin–Madison, Madison, WI, USA

    Amanda Siebert-Evenstone

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Ferreira Mello, R., Gašević, D. (2019). What is the Effect of a Dominant Code in an Epistemic Network Analysis?. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds) Advances in Quantitative Ethnography. ICQE 2019. Communications in Computer and Information Science, vol 1112. Springer, Cham. https://doi.org/10.1007/978-3-030-33232-7_6

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  • DOI: https://doi.org/10.1007/978-3-030-33232-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33231-0

  • Online ISBN: 978-3-030-33232-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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