2021
DOI: 10.1080/10494820.2021.2007137
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What participation types of learners are there in connectivist learning: an analysis of a cMOOC from the dual perspectives of social network and concept network characteristics

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Cited by 14 publications
(4 citation statements)
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“…Kurikulum adalah program acuan guru dalam merancang proses pembelajaran. Pendidikan yang dinamis memicu adanya perubahan kurikulum untuk mengikuti perkembangan zaman (Golke, 2022;Xu, 2021).…”
Section: Pendahuluanunclassified
“…Kurikulum adalah program acuan guru dalam merancang proses pembelajaran. Pendidikan yang dinamis memicu adanya perubahan kurikulum untuk mengikuti perkembangan zaman (Golke, 2022;Xu, 2021).…”
Section: Pendahuluanunclassified
“…Individual indicators are usually used for examining nodes' positions and roles in network, including such indicators as degree, closeness centrality, betweenness centrality, eigenvector centrality, k-shell, structural holes, and middleman. As show in Table 3, different individual indicators can measure individuals' status and roles in networks from different perspectives (Xu & Du, 2021). Usually, researchers select two or three indicators to measure individuals' behavioural tendencies in networks (Tawfik et al, 2017).…”
Section: Basic Characteristics Of Complex Network In Connectivist Lea...mentioning
confidence: 99%
“…On the other hand, diverse methods were used to reveal the characteristics of cMOOC knowledge. For example, the word2vec algorithm was used to output word vectors (Li et al, 2020), and the latent Dirichlet allocation method was employed to mine the topics generated in the cMOOCs (Xu & Du, 2021).…”
Section: New Characteristics Of Knowledge In Connectivist Learningmentioning
confidence: 99%
“…Additionally, interaction tendency among bloggers (Wang et al, 2012) and the ecological structure of the online community; the relationship between subgroups was visualized and analyzed to find special roles like broker, sender, and receiver (Liu et al, 2018). Lastly, some studies used in-degree, out-degree, betweenness centrality, and other indexes to build an assessment model of individual network status and identify the differences in academic performance of individuals with different importance (Xu & Du, 2021;Liang, 2018). Very few researchers have analyzed network evolution from a dynamic perspective, such as counting density, edges, and nodes in different periods to reflect the evolution of social networks (Wu et al, 2016).…”
Section: Literature Reviewmentioning
confidence: 99%