Using Network-Text analysis to characterise learner engagement in active video watching

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dc.contributor.authorHecking T
dc.contributor.authorDimitrova V
dc.contributor.authorMitrovic, Antonija
dc.contributor.authorHoppe U
dc.contributor.editorChen W
dc.date.accessioned2018-04-17T02:15:34Z
dc.date.available2018-04-17T02:15:34Z
dc.date.issued2017en
dc.date.updated2017-09-28T03:13:59Z
dc.description.abstractVideo is becoming more and more popular as a learning medium in a variety of educational settings, ranging from flipped classrooms to MOOCs to informal learning. The prevailing educational usage of videos is based on watching prepared videos, which calls for accompanying video usage with activities to promote constructive learning. In the Active Video Watching (AVW) approach, learner engagement during video watching is induced via interactive notetaking, similar to video commenting in social video-sharing platforms. This coincides with the JuxtaLearn practice, in which student-created videos were shared on a social networking platform and commented by other students. Drawing on the experience of both AVW and JuxtaLearn, we combine and refine analysis techniques to characterise learner engagement. The approach draws on network-text analysis of learner-generated comments as a basis. This allows for capturing pedagogically relevant aspects of divergence, convergence and (dis-) continuity in textual commenting behaviour related to different learner types. The lexical-semantic analytics approach using learner-generated artefacts provides deep insights into learner engagement. This has broader application in video-based learning environments.en
dc.identifier.citationHecking T, Dimitrova V, Mitrovic A, Hoppe U (2017). Using Network-Text analysis to characterise learner engagement in active video watching. Christchurch: 25th International Conference on Computers in Education ICCE 2017. 04/12/2017-08/12/2017. 326-335.en
dc.identifier.urihttp://hdl.handle.net/10092/15125
dc.language.isoen
dc.publisherAPSCEen
dc.subjectvideo-based learningen
dc.subjectlearning analyticsen
dc.subjectnetwork-text analysisen
dc.subject.anzsrcFields of Research::39 - Education::3901 - Curriculum and pedagogy::390102 - Curriculum and pedagogy theory and developmenten
dc.subject.anzsrcFields of Research::39 - Education::3904 - Specialist studies in education::390405 - Educational technology and computingen
dc.titleUsing Network-Text analysis to characterise learner engagement in active video watchingen
dc.typeConference Contributions - Publisheden
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