@inproceedings{c39d8ab601e84505808c775c4aa71bb3,
title = "Data-assisted instructional video revision via course-level exploratory video retention analysis",
abstract = "Since teachers are not physically present in an online class, instructional video is the major carrier of course contents in an online learning environment. This paper aims to investigate how course-level exploratory video retention analysis can be used for identifying moments with abnormal watching behaviors and revising videos for a higher video retention. We have empirically evaluated the effectiveness of video analysis and revisions, based on evaluating retentions of revised videos.",
keywords = "Data-informed revision, Exploratory analysis, Video retention",
author = "Lei, {Chi Un} and Donn Gonda and Xiangyu Hou and Elizabeth Oh and Xinyu Qi and Kwok, {Tyrone T.O.} and Yeung, {Yip Chun Au} and Ray Lau",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 7th International Conference on Learning Analytics and Knowledge, LAK 2017 ; Conference date: 13-03-2017 Through 17-03-2017",
year = "2017",
month = mar,
day = "13",
doi = "10.1145/3027385.3029454",
language = "English",
series = "ACM International Conference Proceeding Series",
pages = "554--555",
booktitle = "LAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference",
}