@inproceedings{bc61fc79c9564a32a81c61470516ac2d,
title = "Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses",
abstract = "While video becomes increasingly prevalent in educational settings, current research has yet to investigate what feedback instructors need regarding their students{\textquoteright} engagement and learning despite video technologies being equipped to provide viewing analytics and collect student feedback. In this paper we investigate instructors{\textquoteright} requirements from video analytics. We used a Grounded Theory Approach and interviewed 16 instructors who teach using video to determine the advantages for using video in their teaching and the different requirements for analytics and feedback in their existing practice. Based on our analysis of the interviews, we found three categories of information that instructors want to inform their teaching. Instructors are looking to see if their students have watched their videos, how much they understood in those videos, and how useful the videos are to the students. These categories provide the foundations and design implications for instructor-centric educational video analytics interfaces.",
keywords = "Analytics, Blended learning, Learning, Teaching, Video",
author = "Matthew Fong and Samuel Dodson and Harandi, \{Negar Mohaghegh\} and Kyoungwon Seo and Dongwook Yoon and Ido Roll and Sidney Fels",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 6th ACM Conference on Learning at Scale, L@S 2019 ; Conference date: 24-06-2019 Through 25-06-2019",
year = "2019",
month = jun,
day = "24",
doi = "10.1145/3330430.3333618",
language = "English",
series = "Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019",
}
