Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses

Matthew Fong; Samuel Dodson; Negar Mohaghegh Harandi; Kyoungwon Seo; Dongwook Yoon; Ido Roll; Sidney Fels

doi:10.1145/3330430.3333618

Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses

Matthew Fong
, Samuel Dodson
, Negar Mohaghegh Harandi
, Kyoungwon Seo
, Dongwook Yoon
, Ido Roll
, Sidney Fels

Dept. of Applied Artificial Intelligence

University of British Columbia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

While video becomes increasingly prevalent in educational settings, current research has yet to investigate what feedback instructors need regarding their students’ engagement and learning despite video technologies being equipped to provide viewing analytics and collect student feedback. In this paper we investigate instructors’ 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.

Original language	English
Title of host publication	Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450368049
DOIs	https://doi.org/10.1145/3330430.3333618
State	Published - 24 Jun 2019
Event	6th ACM Conference on Learning at Scale, L@S 2019 - Chicago, United States Duration: 24 Jun 2019 → 25 Jun 2019

Publication series

Name	Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019

Conference

Conference	6th ACM Conference on Learning at Scale, L@S 2019
Country/Territory	United States
City	Chicago
Period	24/06/19 → 25/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

Analytics
Blended learning
Learning
Teaching
Video

Access to Document

10.1145/3330430.3333618

Cite this

Fong, M., Dodson, S., Harandi, N. M., Seo, K., Yoon, D., Roll, I., & Fels, S. (2019). Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses. In Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019 (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3330430.3333618

Fong, Matthew ; Dodson, Samuel ; Harandi, Negar Mohaghegh et al. / Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses. Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Association for Computing Machinery, Inc, 2019. (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019).

@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",

}

Fong, M, Dodson, S, Harandi, NM, Seo, K, Yoon, D, Roll, I & Fels, S 2019, Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses. in Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019, Association for Computing Machinery, Inc, 6th ACM Conference on Learning at Scale, L@S 2019, Chicago, United States, 24/06/19. https://doi.org/10.1145/3330430.3333618

Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses. / Fong, Matthew; Dodson, Samuel; Harandi, Negar Mohaghegh et al.
Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Association for Computing Machinery, Inc, 2019. (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses

AU - Fong, Matthew

AU - Dodson, Samuel

AU - Harandi, Negar Mohaghegh

AU - Seo, Kyoungwon

AU - Yoon, Dongwook

AU - Roll, Ido

AU - Fels, Sidney

PY - 2019/6/24

Y1 - 2019/6/24

N2 - While video becomes increasingly prevalent in educational settings, current research has yet to investigate what feedback instructors need regarding their students’ engagement and learning despite video technologies being equipped to provide viewing analytics and collect student feedback. In this paper we investigate instructors’ 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.

AB - While video becomes increasingly prevalent in educational settings, current research has yet to investigate what feedback instructors need regarding their students’ engagement and learning despite video technologies being equipped to provide viewing analytics and collect student feedback. In this paper we investigate instructors’ 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.

KW - Analytics

KW - Blended learning

KW - Learning

KW - Teaching

KW - Video

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ER -

Fong M, Dodson S, Harandi NM, Seo K, Yoon D, Roll I et al. Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses. In Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Association for Computing Machinery, Inc. 2019. (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019). doi: 10.1145/3330430.3333618

Instructors desire student activity, literacy, and video quality analytics to improve video-based blended courses

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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