  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.
