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Using Network-Text Analysis to Characterise Learner Engagement in Active Video Watching

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Academic year: 2019

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Figure

Figure 1. A screenshot illustrating browsing and rating comments in AVW
Table 1: Keyword usage of different types (with distinguishing concepts in bold face)
Figure 2. Bi-partite sub-network of learners and vocabulary terms with high modularity  (left: habitual video watchers) and low modularity (self-regulated learners)
Table 2: Characteristics of partitioned networks extracted from all videos vs. tutorials for different learner clusters

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