2020
DOI: 10.1007/s10639-020-10270-9
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Virtual Learning Communities (VLCs) rethinking: From negotiation and conflict to prompting and inspiring

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Cited by 10 publications
(19 citation statements)
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“…This ranges from ensuring that the students have an adequate digital technology literacy and infrastructures (IEEE, 2020a ), to the effective delivery of online instructions and management of unforeseen clashes or events within the different learning platforms (Bao, 2020 ). Moreover, in the current wave and aftermath of the Covid-19, the rapid growth and enhanced access to information and communication technologies have never been more than ever affirmed to pose new possibilities towards teaching and learning in the diaspora (de Souza Rodrigues et al, 2020 ; Pettersson, 2020 ; Tzanavaris et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…This ranges from ensuring that the students have an adequate digital technology literacy and infrastructures (IEEE, 2020a ), to the effective delivery of online instructions and management of unforeseen clashes or events within the different learning platforms (Bao, 2020 ). Moreover, in the current wave and aftermath of the Covid-19, the rapid growth and enhanced access to information and communication technologies have never been more than ever affirmed to pose new possibilities towards teaching and learning in the diaspora (de Souza Rodrigues et al, 2020 ; Pettersson, 2020 ; Tzanavaris et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…Several features were extracted (words, POS tags, cue words, distributed representations of words, sentiment analysis). The first set of experiments were conducted with a word2vec model 17 to identify similar words and a http://www.cs.waikato.ac.nz/~ml/weka, (accessed on 23 December 2020). http://nomad-project.eu/en, ( accessed on 23 December 2020).…”
Section: Argument Extractionmentioning
confidence: 99%
“…There are several approaches that have attempted to detect and analyze bullying and aggressive behavior in Virtual Learning Communities (VLCs) [4,16,17]. Other work focuses on offensive language identification and analysis in tweets [6,18].…”
Section: Offensive Behavior and Language Detectionmentioning
confidence: 99%
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