Abstract
AVW-Space is an online video-based learning platform that aims to improve engagement by providing a note-taking environment, personalised support and peer-reviewing. The effectiveness of AVW-Space in supporting active video watching has been evaluated in several studies, using quantitative analyses of learning outcomes and engagement based on student logs. However, there have been no qualitative analyses on the longitudinal data of student interactions. This paper uses Epistemic Network Analysis (ENA) to identify behavioural differences in video-based learning. We first investigate how students interact with the platform and then compare the interactions and performance of students who started late with the early starters. The work presented in this paper demonstrates the potentials of applying ENA in understanding learning behaviours and evaluating the effectiveness of educational support in computer-based learning environments more comprehensively.
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Mohammadhassan, N., Mitrovic, A. (2022). Discovering Differences in Learning Behaviours During Active Video Watching Using Epistemic Network Analysis. In: Wasson, B., Zörgő, S. (eds) Advances in Quantitative Ethnography. ICQE 2021. Communications in Computer and Information Science, vol 1522. Springer, Cham. https://doi.org/10.1007/978-3-030-93859-8_24
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