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sage-based summaries of learning videos

Lee, Hyowon orcid logoORCID: 0000-0003-4395-7702, Liu, Mingming orcid logoORCID: 0000-0002-8988-2104, Scriney, Michael orcid logoORCID: 0000-0001-6813-2630 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2021) sage-based summaries of learning videos. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4

Much of the delivery of University education is now by synchronous or asynchronous video. For students, one of the challenges is managing the sheer volume of such video material as video presentations of taught material are difficult to abbreviate and summarise because they do not have highlights which stand out. Apart from video bookmarks there are no tools available to determine which parts of video content should be replayed at revision time or just before examinations. We have developed and deployed a digital library for managing video learning material which has many dozens of hours of short-form video content from a range of taught courses for hundreds of students at undergraduate level. Through a web browser we allow students to access and play these videos and we log their anonymised playback usage. From these logs we score to each segment of each video based on the amount of playback it receives from across all students, whether the segment has been re-wound and re-played in the same student session, whether the on-screen window is the window in focus on the student's desktop/laptop, and speed of playback. We also incorporate negative scoring if a video segment is skipped or fast-forward, and overarching all this we include a decay function based on recency of playback, so the most recent days of playback contribute more to the video segment scores. For each video in the library we present a usage-based graph which allows students to see which parts of each video attract the most playback from their peers, which helps them select material at revision time. Usage of the system is fully anonymised and GDPR-compliant.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Video summaries; Video learning; Online learning
Subjects:Computer Science > Artificial intelligence
Computer Science > Digital video
Social Sciences > Educational technology
Social Sciences > Teaching
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: De Laet, Tinne, Klemke, Roland, Alario-Hoyos, Carlos, Hilliger, Isabel and Ortega-Arranz, Alejandro, (eds.) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. Lecture Notes in Computer Science (LNCS) 12884. Springer. ISBN 978-3-030-86435-4
Official URL:https://dx.doi.org/10.1007/978-3-030-86436-1_46
Copyright Information:© 2021 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland under Grant Number SFI/12/RC/2289 P2, co-funded by the European Regional Development Fund
ID Code:26032
Deposited On:21 Sep 2021 12:29 by Alan Smeaton . Last Modified 21 Sep 2021 12:29

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