Playback-centric visualisations of video usage using weighted interactions to guide where to watch in an educational context

July 26, 2022 Β· Declared Dead Β· πŸ› Frontiers in Education

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Hyowon Lee, Mingming Liu, Michael Scriney, Alan F. Smeaton arXiv ID 2207.12903 Category cs.MM: Multimedia Cross-listed cs.HC Citations 1 Venue Frontiers in Education Last Checked 3 months ago
Abstract
The increase in use of online educational tools has led to a large amount of educational video materials made available for students. Finding the right video content is usually supported by the overarching learning management system and its interface that organises video items by course, categories and weeks, and makes them searchable. However, once a video is found, students are left without further guidance as to what parts in that video they should focus on. In this article, an additional timeline visualisation to augment the conventional playback timeline is introduced which employs a novel playback weighting strategy in which the history of different video interactions generate scores based on the context of each playback. The resultant scores are presented on the additional timeline, making it in effect a playback-centric usage graph nuanced by how each playback was executed. Students can selectively watch those portions which the contour of the usage visualisation suggests. The visualisation was implemented and deployed in an undergraduate course at a university for two full semesters. 270 students used the system throughout both semesters watching 52 videos, guided by visualisations on what to watch. Analysis of playback logs revealed students selectively watched corresponding to the most important portions of the videos as assessed by the instructor who created the videos. The characteristics of this as a way of guiding students as to where to watch as well as a complementary tool for playback analysis, are discussed. Further insights into the potential values of this visualisation and its underlying playback weighting strategy are also discussed.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Multimedia

R.I.P. πŸ‘» Ghosted

Video Generation From Text

Yitong Li, Martin Renqiang Min, ... (+3 more)

cs.MM πŸ› AAAI πŸ“š 300 cites 8 years ago

Died the same way β€” πŸ‘» Ghosted