2021
DOI: 10.1080/09588221.2021.1892768
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A scientometric review of research trends in computer-assisted language learning (1977 – 2020)

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Cited by 39 publications
(29 citation statements)
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“…After the initial screening conducted by Scopus based on the keywords, the dataset was not further examined for relevance to psychodrama. This is so that the dataset will not be biased in a systematic way upon manual removal of articles deemed to be irrelevant, similar to the practice in Gaggero et al (33), Aryadoust and Tan Hah (42), and Lim and Aryadoust (43). Additionally, Chen (39) recommends to defer the screening for relevance to the analysis stage, for the similar reason that ambiguous terms may or may not be relevant to the search query.…”
Section: Methodsmentioning
confidence: 98%
“…After the initial screening conducted by Scopus based on the keywords, the dataset was not further examined for relevance to psychodrama. This is so that the dataset will not be biased in a systematic way upon manual removal of articles deemed to be irrelevant, similar to the practice in Gaggero et al (33), Aryadoust and Tan Hah (42), and Lim and Aryadoust (43). Additionally, Chen (39) recommends to defer the screening for relevance to the analysis stage, for the similar reason that ambiguous terms may or may not be relevant to the search query.…”
Section: Methodsmentioning
confidence: 98%
“…Overall, the modularity Q index ranges from 0 to 1, and the mean silhouette ranges from −1 to 1. Higher modularity Q index indicates higher reliability, and a higher mean silhouette indicates better homogeneity and vice versa (Lim & Aryadoust, 2021). In the current study, the modularity Q index and the weighted mean silhouette metric for the DCA network were 0.4842 and 0.7743, respectively, indicating a highly acceptable level of reliability and homogeneity for the network.…”
Section: The Knowledge Mapping For Abstractmentioning
confidence: 99%
“…Thus, the resulting network depends on both the citing papers (the ones directly downloaded from Scopus) and the documents cited by them (identified when importing data into CiteSpace) (Chen, 2014;Aryadoust et al, 2021). This type of analysis is grounded on the assumption that clusters of papers frequently cited together represent thematic trends of research in the specific scientific domain of interest (Lim and Aryadoust, 2021;Carollo, Bonassi, Lim, Gabrieli, Setoh, Dimitriou, Aryadoust and Esposito, 2021). A DCA's network is generated by choosing the node selection criterion of interest and setting its scale factor.…”
Section: Document Co-citation Analysismentioning
confidence: 99%