What is the effect of a dominant code in an epistemic network analysis?

Rafael Ferreira Mello; Dragan Gašević

doi:10.1007/978-3-030-33232-7_6

What is the effect of a dominant code in an epistemic network analysis?

Rafael Ferreira Mello, Dragan Gašević

Department of Data Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

10 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Quantitative Ethnography
Subtitle of host publication	First International Conference, ICQE 2019 Madison, WI, USA, October 20–22, 2019 Proceedings
Editors	Brendan Eagan, Morten Misfeldt, Amanda Siebert-Evenstone
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	66-76
Number of pages	11
ISBN (Electronic)	9783030332327
ISBN (Print)	9783030332310
DOIs	https://doi.org/10.1007/978-3-030-33232-7_6
Publication status	Published - 2019
Event	International Conference on Quantitative Ethnography 2019 - The Pyle Center, University of Wisconsin-Madison, Madison, United States of America Duration: 20 Oct 2019 → 22 Oct 2019 Conference number: 1st http://icqe19.org/ https://link.springer.com/book/10.1007/978-3-030-33232-7 (Proceedings) http://icqe19.org (Website)

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	1112
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	International Conference on Quantitative Ethnography 2019
Abbreviated title	ICQE 2019
Country/Territory	United States of America
City	Madison
Period	20/10/19 → 22/10/19
Internet address	http://icqe19.org/ https://link.springer.com/book/10.1007/978-3-030-33232-7 (Proceedings) http://icqe19.org (Website)

Keywords

Dominant code
Epistemic network analysis
Graph analysis

Access to Document

10.1007/978-3-030-33232-7_6

Cite this

Ferreira Mello, R., & Gašević, D. (2019). What is the effect of a dominant code in an epistemic network analysis? In B. Eagan, M. Misfeldt, & A. Siebert-Evenstone (Eds.), Advances in Quantitative Ethnography : First International Conference, ICQE 2019 Madison, WI, USA, October 20–22, 2019 Proceedings (pp. 66-76). (Communications in Computer and Information Science; Vol. 1112). Springer. https://doi.org/10.1007/978-3-030-33232-7_6

Ferreira Mello, Rafael ; Gašević, Dragan. / What is the effect of a dominant code in an epistemic network analysis?. Advances in Quantitative Ethnography : First International Conference, ICQE 2019 Madison, WI, USA, October 20–22, 2019 Proceedings. editor / Brendan Eagan ; Morten Misfeldt ; Amanda Siebert-Evenstone. Cham Switzerland : Springer, 2019. pp. 66-76 (Communications in Computer and Information Science).

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title = "What is the effect of a dominant code in an epistemic network analysis?",

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.",

keywords = "Dominant code, Epistemic network analysis, Graph analysis",

author = "{Ferreira Mello}, Rafael and Dragan Ga{\v s}evi{\'c}",

year = "2019",

doi = "10.1007/978-3-030-33232-7_6",

language = "English",

isbn = "9783030332310",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "66--76",

editor = "Brendan Eagan and Morten Misfeldt and Amanda Siebert-Evenstone",

booktitle = "Advances in Quantitative Ethnography",

note = "International Conference on Quantitative Ethnography 2019, ICQE 2019 ; Conference date: 20-10-2019 Through 22-10-2019",

url = "http://icqe19.org/, https://link.springer.com/book/10.1007/978-3-030-33232-7, http://icqe19.org",

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Ferreira Mello, R & Gašević, D 2019, What is the effect of a dominant code in an epistemic network analysis? in B Eagan, M Misfeldt & A Siebert-Evenstone (eds), Advances in Quantitative Ethnography : First International Conference, ICQE 2019 Madison, WI, USA, October 20–22, 2019 Proceedings. Communications in Computer and Information Science, vol. 1112, Springer, Cham Switzerland, pp. 66-76, International Conference on Quantitative Ethnography 2019, Madison, Wisconsin, United States of America, 20/10/19. https://doi.org/10.1007/978-3-030-33232-7_6

What is the effect of a dominant code in an epistemic network analysis? / Ferreira Mello, Rafael; Gašević, Dragan.
Advances in Quantitative Ethnography : First International Conference, ICQE 2019 Madison, WI, USA, October 20–22, 2019 Proceedings. ed. / Brendan Eagan; Morten Misfeldt; Amanda Siebert-Evenstone. Cham Switzerland: Springer, 2019. p. 66-76 (Communications in Computer and Information Science; Vol. 1112).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review